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automatic
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This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

{
"0": [
{
"id": 0,
"label": "1st Stage",
"localized": "Primary Iterative Phase",
"reload": "none",
"hint": "Initial initialization sequence for the primary latent vector generation grid."
},
{
"id": 1,
"label": "2nd Stage",
"localized": "Secondary Iterative Phase",
"reload": "none",
"hint": "Secondary buffer propagation sequence for deeper structural coherence."
},
{
"id": 2,
"label": "2nd Scale",
"localized": "Secondary Magnitude Vector",
"reload": "none",
"hint": "Adjusts the scalar intensity of the secondary latent feedback loop."
},
{
"id": 3,
"label": "2nd Restart step",
"localized": "Secondary Re-sync Step",
"reload": "none",
"hint": "Triggers a re-normalization of the secondary epoch cycle to prevent drift."
},
{
"id": 4,
"label": "3rd Stage",
"localized": "Tertiary Iterative Phase",
"reload": "none",
"hint": "Tertiary convolution layer execution for enhanced feature extraction depth."
},
{
"id": 5,
"label": "3rd Scale",
"localized": "Tertiary Magnitude Vector",
"reload": "none",
"hint": "Adjusts the scalar intensity of the tertiary latent feedback loop."
},
{
"id": 6,
"label": "3rd Restart step",
"localized": "Tertiary Re-sync Step",
"reload": "none",
"hint": "Triggers a re-normalization of the tertiary epoch cycle to maintain signal fidelity."
},
{
"id": 7,
"label": "4th Stage",
"localized": "Quaternary Iterative Phase",
"reload": "none",
"hint": "Final refinement layer executing high-frequency detail injection."
},
{
"id": 8,
"label": "4th Scale",
"localized": "Quaternary Magnitude Vector",
"reload": "none",
"hint": "Adjusts the scalar intensity of the quaternary latent feedback loop for final synthesis."
},
{
"id": 9,
"label": "4th Restart step",
"localized": "Quaternary Re-sync Step",
"reload": "none",
"hint": "Triggers a final re-normalization of the quaternary epoch cycle for output stabilization."
}
],
"_": [
{
"id": 0,
"label": "⟲",
"localized": "⟲",
"reload": "n/a",
"hint": "Initiate Recursive Refresh Protocol"
},
{
"id": 0,
"label": "↶",
"localized": "↶",
"reload": "n/a",
"hint": "Inject Stylistic Parameter Overlay"
},
{
"id": 0,
"label": "↷",
"localized": "↷",
"reload": "n/a",
"hint": "Commit Active Latent State to Style Registry"
},
{
"id": 0,
"label": "⇅",
"localized": "⇅",
"reload": "n/a",
"hint": "Swap Dimension Vector Values"
},
{
"id": 0,
"label": "🎲️",
"localized": "🎲️",
"reload": "n/a",
"hint": "Execute Stochastic Seed Generation"
},
{
"id": 0,
"label": "⬅️",
"localized": "⬅️",
"reload": "n/a",
"hint": "Recycle Seed from Prior Generation Cycle"
},
{
"id": 0,
"label": "🕮",
"localized": "🕮",
"reload": "n/a",
"hint": "Archive Terminal Frame Meta-Data into Stylistic Blueprint"
},
{
"id": 0,
"label": "📐",
"localized": "📐",
"reload": "n/a",
"hint": "Calculate Geometrical Vectorization from Input Artifact"
},
{
"id": 0,
"label": "☲",
"localized": "☲",
"reload": "n/a",
"hint": "Toggle Viewport Matrix Configuration"
},
{
"id": 0,
"label": "⊜",
"localized": "⊜",
"reload": "n/a",
"hint": "Initialize Global Grid Population"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Generate Linguistic Metadata Map"
},
{
"id": 0,
"label": "⁜",
"localized": "⁜",
"reload": "n/a",
"hint": "Cycle Through Aspect-Ratio Re-alignment Protocols"
},
{
"id": 0,
"label": "➠ Control",
"localized": "➠ Control",
"reload": "n/a",
"hint": "Route Artifact to ControlNet Processing Node"
},
{
"id": 0,
"label": "➠ Text",
"localized": "➠ Text",
"reload": "n/a",
"hint": "Route Artifact to Linguistic Analysis Engine"
},
{
"id": 0,
"label": "➠ Image",
"localized": "➠ Image",
"reload": "n/a",
"hint": "Route Artifact to Imaging Processing Pipeline"
},
{
"id": 0,
"label": "➠ Process",
"localized": "➠ Process",
"reload": "n/a",
"hint": "Route Artifact to System Execution Thread"
},
{
"id": 0,
"label": "➠ Caption",
"localized": "➠ Caption",
"reload": "n/a",
"hint": "Route Artifact to Captioning Heuristic Module"
},
{
"id": 0,
"label": "➠ Sketch",
"localized": "➠ Sketch",
"reload": "n/a",
"hint": "Route Artifact to Sketch-Overlay Reconstruction Node"
},
{
"id": 0,
"label": "➠ Inpaint",
"localized": "➠ Inpaint",
"reload": "n/a",
"hint": "Route Artifact to Inpainting Diffusion Grid"
},
{
"id": 0,
"label": "➠ Composite",
"localized": "➠ Composite",
"reload": "n/a",
"hint": "Route Artifact to Composite Inpainting Sketch Layer"
},
{
"id": 0,
"label": "⬆️",
"localized": "⬆️",
"reload": "n/a",
"hint": "Uplink Binary Image Payload"
},
{
"id": 0,
"label": "🔄",
"localized": "🔄",
"reload": "n/a",
"hint": "Revert Parameter Array to Null State"
},
{
"id": 0,
"label": "🖼️",
"localized": "🖼️",
"reload": "n/a",
"hint": "Render Visual Preview Buffer"
},
{
"id": 0,
"label": "↺",
"localized": "↺",
"reload": "n/a",
"hint": "Immediate Propagation of Model Selection"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Alphabetic Sorting Routine: Ascending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Alphabetic Sorting Routine: Descending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Volumetric Sorting Routine: Ascending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Volumetric Sorting Routine: Descending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Resolution Vector Sorting Routine: Ascending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Resolution Vector Sorting Routine: Descending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Temporal Sorting Routine: Ascending"
},
{
"id": 0,
"label": "",
"localized": "",
"reload": "n/a",
"hint": "Execute Temporal Sorting Routine: Descending"
},
{
"id": 0,
"label": "⊗",
"localized": "⊗",
"reload": "n/a",
"hint": "Purge All Configuration Constants"
},
{
"id": 0,
"label": "🔍",
"localized": "🔍",
"reload": "n/a",
"hint": "Query Knowledge Base"
},
{
"id": 0,
"label": "⇨",
"localized": "⇨",
"reload": "n/a",
"hint": "Activate Preset Configuration Override"
},
{
"id": 0,
"label": "※",
"localized": "※",
"reload": "n/a",
"hint": "Assign Model as Refinement Secondary Buffer, Else Base Layer"
},
{
"id": 0,
"label": "🔎︎",
"localized": "🔎︎",
"reload": "n/a",
"hint": "Poll External Repository for Missing Meta-Data and Buffer Previews"
},
{
"id": 0,
"label": "⇕",
"localized": "⇕",
"reload": "n/a",
"hint": "Reorder Registry: Alpha/Resolution/Timestamp Flux"
},
{
"id": 0,
"label": "✕",
"localized": "✕",
"reload": "n/a",
"hint": "Terminate Active Module Interface"
},
{
"id": 0,
"label": "_Guidance scale",
"localized": "_Guidance scale",
"reload": "n/a",
"hint": "Modulate CFG Scale Factor"
},
{
"id": 0,
"label": "_Guidance rescale",
"localized": "_Guidance rescale",
"reload": "n/a",
"hint": "Execute CFG Rescaling Correction Logic"
},
{
"id": 0,
"label": "_Guidance start",
"localized": "_Guidance start",
"reload": "n/a",
"hint": "Define CFG Modulation Onset Point"
},
{
"id": 0,
"label": "_Guidance stop",
"localized": "_Guidance stop",
"reload": "n/a",
"hint": "Define CFG Modulation Offset Point"
}
],
"a": [
{
"id": 0,
"label": "Advanced",
"localized": "Hyper-Complexity Manifold",
"reload": "",
"hint": "High-fidelity parametric adjustments for execution manifolds"
},
{
"id": 1,
"label": "Adapters",
"localized": "Synaptic Interface Modules",
"reload": "",
"hint": "Protocol configurations for Input-Projection synaptic modules"
},
{
"id": 2,
"label": "Apply to model",
"localized": "Inject into Cognitive Lattice",
"reload": "",
"hint": ""
},
{
"id": 3,
"label": "Analyze",
"localized": "Heuristic Scan",
"reload": "",
"hint": ""
},
{
"id": 4,
"label": "Apply changes",
"localized": "Commit Delta Updates",
"reload": "",
"hint": "Commit lattice alterations and re-initialize computational node"
},
{
"id": 5,
"label": "Apply settings",
"localized": "Commit Parametric Arrays",
"reload": "",
"hint": "Commit runtime parameters; re-initialization of server kernel advised"
},
{
"id": 6,
"label": "Analyze model",
"localized": "Probe Cognitive Lattice",
"reload": "",
"hint": ""
},
{
"id": 7,
"label": "All",
"localized": "Universal Set",
"reload": "",
"hint": ""
},
{
"id": 8,
"label": "Alpha",
"localized": "Initial Vector",
"reload": "",
"hint": ""
},
{
"id": 9,
"label": "Advanced Options",
"localized": "Extended Complexity Manifolds",
"reload": "",
"hint": ""
},
{
"id": 10,
"label": "Appearance",
"localized": "Visual Rendering Interface",
"reload": "",
"hint": ""
},
{
"id": 11,
"label": "Answer",
"localized": "Output Response String",
"reload": "",
"hint": ""
},
{
"id": 12,
"label": "Adjust start",
"localized": "Calibrate Initial Offset",
"reload": "",
"hint": "Initialization temporal segment for sigma-deviation synchronization"
},
{
"id": 13,
"label": "Adjust end",
"localized": "Calibrate Terminal Offset",
"reload": "",
"hint": "Termination temporal segment for sigma-deviation synchronization"
},
{
"id": 14,
"label": "AutoGuidance dropout",
"localized": "Autonomous Steering Probability Decay",
"reload": "",
"hint": ""
},
{
"id": 15,
"label": "AutoGuidance layers",
"localized": "Autonomous Steering Neural Strata",
"reload": "",
"hint": ""
},
{
"id": 16,
"label": "AutoGuidance config",
"localized": "Autonomous Steering Configuration Matrix",
"reload": "",
"hint": ""
},
{
"id": 17,
"label": "APG momentum",
"localized": "APG Kinetic Inertia",
"reload": "",
"hint": ""
},
{
"id": 18,
"label": "APG rescale",
"localized": "APG Dimensional Normalization",
"reload": "",
"hint": ""
},
{
"id": 19,
"label": "Attention guidance",
"localized": "Cognitive Focus Steering",
"reload": "",
"hint": "CFG normalization coefficient utilized via PAG: Perturbed-Attention Guidance protocols"
},
{
"id": 20,
"label": "Adaptive scaling",
"localized": "Dynamic Dimensional Scaling",
"reload": "",
"hint": "Heuristic modifier for cognitive focus steering amplitude"
},
{
"id": 21,
"label": "Apply to hires",
"localized": "Inject into High-Resolution Upscale Buffer",
"reload": "",
"hint": ""
},
{
"id": 22,
"label": "Active IP adapters",
"localized": "Engaged Synaptic Interface Modules",
"reload": "",
"hint": "Quantity of operational Input-Projection modules"
},
{
"id": 23,
"label": "Adapter",
"localized": "Synaptic Interface",
"reload": "",
"hint": "Input-Projection module artifact"
},
{
"id": 24,
"label": "Anchor settings",
"localized": "Positional Anchor Configuration",
"reload": "",
"hint": ""
},
{
"id": 25,
"label": "Alpha preset",
"localized": "Alpha-Vector Initialization Preset",
"reload": "",
"hint": ""
},
{
"id": 26,
"label": "Append heatmaps to results",
"localized": "Inject Thermal Divergence Grids",
"reload": "",
"hint": ""
},
{
"id": 27,
"label": "Auto apply",
"localized": "Autonomous Injection Protocol",
"reload": "",
"hint": ""
},
{
"id": 28,
"label": "Add time info",
"localized": "Inject Chrono-Metadata",
"reload": "",
"hint": ""
},
{
"id": 29,
"label": "Add text info",
"localized": "Inject Textual Metadata",
"reload": "",
"hint": ""
},
{
"id": 30,
"label": "Add metadata",
"localized": "Inject Data-Payload",
"reload": "",
"hint": ""
},
{
"id": 31,
"label": "Allowed languages",
"localized": "Permitted Linguistic Encodings",
"reload": "",
"hint": ""
},
{
"id": 32,
"label": "Allowed alphabets",
"localized": "Permitted Character Sets",
"reload": "",
"hint": ""
},
{
"id": 33,
"label": "Apply to prompt",
"localized": "Inject into Query Vector",
"reload": "",
"hint": "Autonomous stream-injection of processed result into primary query input"
},
{
"id": 34,
"label": "Auto enhance",
"localized": "Autonomous Semantic Amplification",
"reload": "",
"hint": "Autonomous recursive refinement of query vector prior to generation cycle"
},
{
"id": 35,
"label": "ACI: Color to Mask",
"localized": "ACI: Chromatic-Exclusion Mapping",
"reload": "",
"hint": "Isolate target chromaticity for exclusion and inpainting. Trigger visual input to sample. Advisable for green-screen isolation for high-precision results."
},
{
"id": 36,
"label": "ACI: Color tolerance",
"localized": "ACI: Chromatic Deviation Threshold",
"reload": "",
"hint": "Calibrate threshold to include proximal color clusters. Decreased values = mask singular frequencies. Increased values = mask broader chromatic variance."
},
{
"id": 37,
"label": "ACI: Denoising strength",
"localized": "ACI: Entropy Reduction Amplitude",
"reload": "",
"hint": "Adjust Entropy Reduction Amplitude to modulate inpainting intensity."
},
{
"id": 38,
"label": "ACI: Mask dilate",
"localized": "ACI: Exclusion Expansion",
"reload": "",
"hint": ""
},
{
"id": 39,
"label": "ACI: Mask erode",
"localized": "ACI: Exclusion Contraction",
"reload": "",
"hint": "Calibrate padding for internal exclusion offset. (Recommended: 2 for edge residual cleanup)"
},
{
"id": 40,
"label": "ACI: Mask blur",
"localized": "ACI: Exclusion Diffusion",
"reload": "",
"hint": "Calibrate diffusion for seamless integration between manifest and excluded zone. (Recommended: 0 for razor-edge precision)"
},
{
"id": 41,
"label": "Adaptive restore",
"localized": "Dynamic Reconstitution",
"reload": "",
"hint": ""
},
{
"id": 42,
"label": "Apply noise",
"localized": "Inject Stochastic Perturbation",
"reload": "",
"hint": ""
},
{
"id": 43,
"label": "Auto min score",
"localized": "Autonomous Minimum Relevancy Threshold",
"reload": "",
"hint": ""
},
{
"id": 44,
"label": "Auto-segment",
"localized": "Autonomous Object Partitioning",
"reload": "",
"hint": ""
},
{
"id": 45,
"label": "Auto-mask",
"localized": "Autonomous Exclusion Zone Generation",
"reload": "",
"hint": ""
},
{
"id": 46,
"label": "Active",
"localized": "Operational",
"reload": "",
"hint": ""
},
{
"id": 47,
"label": "Attention",
"localized": "Cognitive Focus",
"reload": "",
"hint": ""
},
{
"id": 48,
"label": "Adain",
"localized": "Adaptive Instance Normalization",
"reload": "",
"hint": ""
},
{
"id": 49,
"label": "Attention Adain",
"localized": "Cognitive Adaptive Instance Normalization",
"reload": "",
"hint": ""
},
{
"id": 50,
"label": "Apply filter",
"localized": "Execute Spectral Filtering",
"reload": "",
"hint": ""
},
{
"id": 51,
"label": "Alpha matting",
"localized": "Alpha Transparency Layering",
"reload": "",
"hint": ""
},
{
"id": 52,
"label": "Append Caption Files",
"localized": "Append Semantics Metadata",
"reload": "",
"hint": "Append to extant semantic descriptors rather than overwrite. Beneficial for augmenting image data with additional descriptive tokens."
},
{
"id": 53,
"label": "a1111",
"localized": "a1111",
"reload": "",
"hint": ""
},
{
"id": 54,
"label": "Autocast",
"localized": "Autonomous Typecasting",
"reload": "",
"hint": "Autonomous precision determination during real-time execution"
},
{
"id": 55,
"label": "Auto",
"localized": "Auto",
"reload": "",
"hint": ""
},
{
"id": 56,
"label": "Automatic server status monitor rate",
"localized": "Autonomous Node-Health Telemetry Frequency",
"reload": "",
"hint": ""
},
{
"id": 57,
"label": "Automatic server memory monitor rate",
"localized": "Autonomous Latency-State Telemetry Frequency",
"reload": "",
"hint": ""
},
{
"id": 58,
"label": "API base rate limit rate",
"localized": "Interface Data-Flow Throttling Ceiling",
"reload": "",
"hint": ""
},
{
"id": 59,
"label": "accuracy",
"localized": "Precision Quotient",
"reload": "",
"hint": ""
},
{
"id": 60,
"label": "atiadlxx (AMD only)",
"localized": "atiadlxx (AMD Hardware Only)",
"reload": "",
"hint": ""
},
{
"id": 61,
"label": "aot_ts_nvfuser",
"localized": "aot_ts_nvfuser",
"reload": "",
"hint": ""
},
{
"id": 62,
"label": "Additional image browser folders",
"localized": "Supplementary Manifest Storage Directories",
"reload": "",
"hint": ""
},
{
"id": 63,
"label": "Add system information to metadata",
"localized": "Inject Core-Kernel Diagnostics to Payload",
"reload": "",
"hint": ""
},
{
"id": 64,
"label": "Autolaunch browser upon startup",
"localized": "Autonomous Interface-Client Initialization",
"reload": "",
"hint": ""
},
{
"id": 65,
"label": "Allowed aspect ratios",
"localized": "Permitted Dimensional Ratios",
"reload": "",
"hint": ""
},
{
"id": 66,
"label": "Approximate",
"localized": "Neural Heuristic Approximation",
"reload": "",
"hint": "Low-fidelity neural shortcut. High-velocity relative to VAE, yet outputs manifests with 4x reduced resolution and degraded fidelity"
},
{
"id": 67,
"label": "Additional postprocessing operations",
"localized": "Supplementary Post-Rendering Procedures",
"reload": "",
"hint": ""
},
{
"id": 68,
"label": "Apply color correction",
"localized": "Execute Chromatic Calibration",
"reload": "",
"hint": ""
},
{
"id": 69,
"label": "Apply mask as overlay",
"localized": "Inject Exclusion Zone as Superposition",
"reload": "",
"hint": ""
},
{
"id": 70,
"label": "Apply sRGB linearization",
"localized": "Execute sRGB Linearization Protocol",
"reload": "",
"hint": ""
},
{
"id": 71,
"label": "Available networks",
"localized": "Accessible Neural Frameworks",
"reload": "",
"hint": ""
},
{
"id": 72,
"label": "Auto-convert SD15 embeddings to SDXL",
"localized": "Autonomous SD15->SDXL Vector Translation",
"reload": "",
"hint": ""
},
{
"id": 73,
"label": "alias",
"localized": "Synonym Identifier",
"reload": "",
"hint": ""
},
{
"id": 74,
"label": "Attention query chunk size",
"localized": "Cognitive Query Segment Magnitude",
"reload": "",
"hint": ""
},
{
"id": 75,
"label": "Attention kv chunk size",
"localized": "Cognitive KV-Segment Magnitude",
"reload": "",
"hint": ""
},
{
"id": 76,
"label": "Attention chunking threshold",
"localized": "Cognitive Partitioning Threshold",
"reload": "",
"hint": ""
},
{
"id": 77,
"label": "Attempt VAE roll back for NaN values",
"localized": "Initiate VAE Recovery on Null-State Variance",
"reload": "",
"hint": "Requires Torch 2.1 and non-numeric diagnostics enabled"
},
{
"id": 78,
"label": "Add extended info to filename when saving grid",
"localized": "Append Extended Diagnostic-Tags to Grid Manifest Filename",
"reload": "",
"hint": ""
},
{
"id": 79,
"label": "Add LoRA to prompt",
"localized": "Inject LoRA-Module Reference into Query",
"reload": "",
"hint": ""
},
{
"id": 80,
"label": "Alpha Ratio",
"localized": "Alpha-Vector Density Ratio",
"reload": "",
"hint": ""
},
{
"id": 81,
"label": "ALPHA Block Weight Preset",
"localized": "ALPHA-Layer Synaptic Weight Preset",
"reload": "",
"hint": ""
},
{
"id": 82,
"label": "Automatically determine rank",
"localized": "Autonomous Rank Estimation",
"reload": "",
"hint": ""
},
{
"id": 83,
"label": "Autorank ratio",
"localized": "Autonomous Rank Scaling Quotient",
"reload": "",
"hint": ""
},
{
"id": 84,
"label": "Advanced guidance params",
"localized": "Hyper-Complexity Steering Parameters",
"reload": "",
"hint": ""
},
{
"id": 85,
"label": "Adapter 1",
"localized": "Synaptic Module 1",
"reload": "",
"hint": ""
},
{
"id": 86,
"label": "Adapter 2",
"localized": "Synaptic Module 2",
"reload": "",
"hint": ""
},
{
"id": 87,
"label": "Adapter 3",
"localized": "Synaptic Module 3",
"reload": "",
"hint": ""
},
{
"id": 88,
"label": "Adapter 4",
"localized": "Synaptic Module 4",
"reload": "",
"hint": ""
},
{
"id": 89,
"label": "Audio",
"localized": "Sonic Manifestation",
"reload": "",
"hint": ""
}
],
"b": [
{
"id": 0,
"label": "Batch",
"localized": "Hyper-Iteration Sequence",
"reload": "none",
"hint": "Initiate parallelized sub-process threading array sequences."
},
{
"id": 0,
"label": "Batch Caption",
"localized": "Iterative Metadata Synthesis",
"reload": "none",
"hint": "Execute bulk linguistic encapsulation of visual data vectors."
},
{
"id": 0,
"label": "Batch Tag",
"localized": "Parallel Labeling Matrix",
"reload": "none",
"hint": "Deploy high-volume categorization schemas across dataset arrays."
},
{
"id": 0,
"label": "Benchmark",
"localized": "Performance Stress-Analysis",
"reload": "none",
"hint": "Execute high-fidelity diagnostic throughput stress-testing protocols."
},
{
"id": 0,
"label": "Backend Settings",
"localized": "Core Compute Configuration",
"reload": "none",
"hint": "Modify primary interface parameters for Torch, ONNX, and Olive compute engines."
},
{
"id": 0,
"label": "Beta",
"localized": "Experimental Flux-State",
"reload": "none",
"hint": "Access preliminary, unstable-branch operational modules."
},
{
"id": 0,
"label": "Balanced Offload",
"localized": "Equilibrium Load-Shifting",
"reload": "none",
"hint": "Orchestrate dynamic VRAM-to-RAM memory arbitration algorithms."
},
{
"id": 0,
"label": "BitsAndBytes",
"localized": "Quantized Precision Engine",
"reload": "none",
"hint": "Invoke high-efficiency neural network weight compression sub-routines."
},
{
"id": 0,
"label": "Batch count",
"localized": "Sequence Iteration Magnitude",
"reload": "none",
"hint": "Determine the total count of sequential generation cycles (asynchronous processing load)."
},
{
"id": 0,
"label": "Batch size",
"localized": "Parallel Throughput Width",
"reload": "none",
"hint": "Define the quantity of simultaneous parallel vector-space generation tasks (impacts VRAM latency)."
},
{
"id": 0,
"label": "Beta schedule",
"localized": "Noise-Flux Trajectory",
"reload": "none",
"hint": "Calibrate the diffusion-noise decay function. Options: default: base-model baseline; linear: equidistant variance decrement; scaled: non-linear quadratic variance decay; cosine: trigonometric variance softening; sigmoid: high-intensity threshold transition."
},
{
"id": 0,
"label": "Base shift",
"localized": "Resolution-Offset Vector",
"reload": "none",
"hint": "Define minimal coordinate translation values for low-fidelity latent space mapping."
},
{
"id": 0,
"label": "Brightness",
"localized": "Luminance Gain Factor",
"reload": "none",
"hint": "Modulate the output pixel intensity scalar. Positive integers augment photon-density, negative integers attenuate light saturation. Applied uniformly across the linearized color space."
},
{
"id": 0,
"label": "Block",
"localized": "Data Partition Segment",
"reload": "none",
"hint": "Define localized architectural layer partitioning bounds."
},
{
"id": 0,
"label": "Block size",
"localized": "Segmentation Granularity",
"reload": "none",
"hint": "Specify the unit-dimension scale of the partitioned data segments."
},
{
"id": 0,
"label": "Banned words",
"localized": "Prohibited Token Blacklist",
"reload": "none",
"hint": "Input strictly forbidden semantic identifiers to nullify in generation output."
},
{
"id": 0,
"label": "Blur",
"localized": "Gaussian Kernel Aperture",
"reload": "none",
"hint": "Execute a kernel-based spatial diffusion filter across the image substrate."
},
{
"id": 0,
"label": "Batch input directory",
"localized": "Primary Input Stream Path",
"reload": "none",
"hint": "Define the local directory source for massive dataset ingestion."
},
{
"id": 0,
"label": "Batch output directory",
"localized": "Secondary Output Repository",
"reload": "none",
"hint": "Define the destination directory for exported generation manifests."
},
{
"id": 0,
"label": "Batch mask directory",
"localized": "Alpha-Mask Repository",
"reload": "none",
"hint": "Define the directory path for structural transparency-mask injection."
},
{
"id": 0,
"label": "Background threshold",
"localized": "Ambient Depth-Cutoff",
"reload": "none",
"hint": "Define the sensitivity threshold for segregating environmental background pixels."
},
{
"id": 0,
"label": "Body",
"localized": "Skeletal Topology Data",
"reload": "none",
"hint": "Isolate biometric skeletal mesh coordinates."
},
{
"id": 0,
"label": "Boost",
"localized": "Heuristic Overdrive",
"reload": "none",
"hint": "Force signal amplification in the latent probability distribution."
},
{
"id": 0,
"label": "Base",
"localized": "Primary Configuration Root",
"reload": "none",
"hint": "Establish the root architectural parameters for image-synthesis execution."
},
{
"id": 0,
"label": "Blend strength",
"localized": "Alpha-Fusion Coefficient",
"reload": "none",
"hint": "Modulate the transparency weighting between source and generated layers."
},
{
"id": 0,
"label": "Base model",
"localized": "Root Inference Architecture",
"reload": "none",
"hint": "Select the primary neural network weight configuration for global operations."
},
{
"id": 0,
"label": "Backend",
"localized": "Compute Engine",
"reload": "none",
"hint": "Designate the underlying computational architecture (e.g., CUDA, DirectML, Vulkan)."
},
{
"id": 0,
"label": "Benchmark steps",
"localized": "Diagnostic Iteration Cycles",
"reload": "none",
"hint": "Specify the number of denoising iterations for the benchmark protocol."
},
{
"id": 0,
"label": "Benchmark level",
"localized": "Stress-Test Complexity Index",
"reload": "none",
"hint": "Set the hierarchy tier of the performance simulation analysis."
},
{
"id": 0,
"label": "Benchmark Image width",
"localized": "X-Axis Diagnostic Aperture",
"reload": "none",
"hint": "Define pixel-width for stress-test generation canvases."
},
{
"id": 0,
"label": "Benchmark Image height",
"localized": "Y-Axis Diagnostic Aperture",
"reload": "none",
"hint": "Define pixel-height for stress-test generation canvases."
},
{
"id": 0,
"label": "balanced",
"localized": "balanced",
"reload": "none",
"hint": "Enables an optimized load-balancing heuristic for memory throughput."
},
{
"id": 0,
"label": "block_level",
"localized": "block_level",
"reload": "none",
"hint": "Toggles layer-wise memory offloading granularity."
},
{
"id": 0,
"label": "Backend storage",
"localized": "Compute-Cache Repository",
"reload": "none",
"hint": "Set the storage allocation pathway for backend tensor-caching."
},
{
"id": 0,
"label": "BF16",
"localized": "Brain-Float 16 Precision",
"reload": "none",
"hint": "Utilize 16-bit floating point truncated precision for enhanced arithmetic acceleration."
},
{
"id": 0,
"label": "Batch matrix-matrix",
"localized": "Synchronous Tensor Multiplication",
"reload": "none",
"hint": "Invoke standard batch-matrix algebra for attention mechanisms. High precision, suboptimal memory overhead."
},
{
"id": 0,
"label": "BCFHW",
"localized": "BCFHW",
"reload": "none",
"hint": "Utilize Batch-Channel-Frame-Height-Width tensor permutation format."
},
{
"id": 0,
"label": "BFCHW",
"localized": "BFCHW",
"reload": "none",
"hint": "Utilize Batch-Frame-Channel-Height-Width tensor permutation format."
},
{
"id": 0,
"label": "BCHW",
"localized": "BCHW",
"reload": "none",
"hint": "Utilize Batch-Channel-Height-Width (Standard NCHW) tensor permutation format."
},
{
"id": 0,
"label": "Batch mode uses sequential seeds",
"localized": "Deterministic Seed Progression",
"reload": "none",
"hint": "Enables incremental seed generation per batch iteration for reproducible RNG cycles."
},
{
"id": 0,
"label": "Batch uses original name",
"localized": "Native Filename Preservation",
"reload": "none",
"hint": "Maintain the source-file naming conventions for batch output processing."
},
{
"id": 0,
"label": "Base images folder",
"localized": "Image Root Directory",
"reload": "none",
"hint": "Specify the default directory for source input assets."
},
{
"id": 0,
"label": "Base grids folder",
"localized": "Grid-Manifest Repository",
"reload": "none",
"hint": "Specify the default repository for serialized grid-assembly outputs."
},
{
"id": 0,
"label": "Build info on first access",
"localized": "Lazy Load Metadata Compilation",
"reload": "none",
"hint": "Deferred compilation of EN-localization manifests to optimize server-side startup latency."
},
{
"id": 0,
"label": "Beta Ratio",
"localized": "Flux-Variance Percentage",
"reload": "none",
"hint": "Determine the scalar ratio for experimental diffusion-flux adjustments."
},
{
"id": 0,
"label": "BETA Block Weight Preset",
"localized": "Beta-Layer Weight Topology",
"reload": "none",
"hint": "Load pre-configured weighting heuristics for experimental model layering."
},
{
"id": 0,
"label": "Base model type",
"localized": "Architecture Classification",
"reload": "none",
"hint": "Identify the structural category of the primary inference model (e.g., Stable Diffusion, SDXL, Flux)."
}
],
"c": [
{
"id": 1,
"label": "Caption",
"localized": "Metadata Descriptor",
"reload": "n/a",
"hint": "Initialize heuristic analysis on visual data vectors to instantiate descriptive text strings."
},
{
"id": 2,
"label": "Contributors",
"localized": "Codebase Architects",
"reload": "n/a",
"hint": "List of contributors who have contributed to the kernel."
},
{
"id": 3,
"label": "Corrections",
"localized": "Heuristic Adjustments",
"reload": "n/a",
"hint": "Modulate pixel variance, chromatic aberration, and luminance intensity during the iterative synthesis cycle."
},
{
"id": 4,
"label": "Clear",
"localized": "Flush Buffer",
"reload": "n/a",
"hint": "Purge current latent prompt vectors from memory buffer."
},
{
"id": 5,
"label": "Check status",
"localized": "Query System State",
"reload": "n/a",
"hint": "Poll the internal machine state for active execution protocols."
},
{
"id": 6,
"label": "Copy",
"localized": "Duplicate Payload",
"reload": "n/a",
"hint": "Clone data stream to the system clipboard."
},
{
"id": 7,
"label": "Composite",
"localized": "Layer Fusion",
"reload": "n/a",
"hint": "Execute alpha-channel blending of multiple visual strata."
},
{
"id": 8,
"label": "Control",
"localized": "Guidance Matrix",
"reload": "n/a",
"hint": "Synthesize visual output adhering to comprehensive structural guidance parameters."
},
{
"id": 9,
"label": "ControlNet",
"localized": "Neural Guidance Framework",
"reload": "n/a",
"hint": "Deploying advanced neural conditioning network for high-fidelity spatial architecture constraints."
},
{
"id": 10,
"label": "Controls",
"localized": "Operational Parametrics",
"reload": "n/a",
"hint": "System control interface for operational modification."
},
{
"id": 11,
"label": "CaptionCaption",
"localized": "Recursive Descriptors",
"reload": "n/a",
"hint": "Initiating deep-learning textual recursive semantic extraction."
},
{
"id": 12,
"label": "Console",
"localized": "Terminal Interface",
"reload": "n/a",
"hint": "System debug and log execution environment."
},
{
"id": 13,
"label": "Check for updates",
"localized": "Query Version Repository",
"reload": "n/a",
"hint": "Synchronize with remote update servers to fetch latest codebase commits."
},
{
"id": 14,
"label": "Change log",
"localized": "Audit Trail",
"reload": "n/a",
"hint": "Examine the chronological list of system modifications and patch notes."
},
{
"id": 15,
"label": "Compute Settings",
"localized": "Hardware Optimization Parameters",
"reload": "n/a",
"hint": "Configuration matrix for floating-point precision, tensor attention-mechanisms, and platform-specific compute kernel optimization."
},
{
"id": 16,
"label": "Current",
"localized": "Active Node Index",
"reload": "n/a",
"hint": "Diagnostic introspection of internal neural layers currently loaded in the inference engine."
},
{
"id": 17,
"label": "CivitAI",
"localized": "Model Hub Integration",
"reload": "n/a",
"hint": "Querying the external CivitAI neural asset repository for model weight retrieval."
},
{
"id": 18,
"label": "Calculate missing hashes",
"localized": "Verify Integrity Checksums",
"reload": "n/a",
"hint": "Execute SHA-256 validation scan on model weight assets to detect corruption."
},
{
"id": 19,
"label": "Community",
"localized": "User Consensus Hub",
"reload": "n/a",
"hint": "Access external collective knowledge base."
},
{
"id": 20,
"label": "Cloud",
"localized": "Remote Compute Node",
"reload": "n/a",
"hint": "Offload execution tasks to distributed cloud-based compute clusters."
},
{
"id": 21,
"label": "Close",
"localized": "Terminate Session",
"reload": "n/a",
"hint": "Collapse operational window."
},
{
"id": 22,
"label": "Change model",
"localized": "Swap Inference Engine",
"reload": "n/a",
"hint": "Hot-swap the active neural network weights for alternative tensor architecture."
},
{
"id": 23,
"label": "Change refiner",
"localized": "Swap Refinement Kernel",
"reload": "n/a",
"hint": "Toggle secondary refinement weights for high-frequency detail enhancement."
},
{
"id": 24,
"label": "Change VAE",
"localized": "Swap VAE Decoupler",
"reload": "n/a",
"hint": "Switch Variational Autoencoder module for pixel-space decoding."
},
{
"id": 25,
"label": "Change UNet",
"localized": "Swap UNet Architecture",
"reload": "n/a",
"hint": "Reallocate primary U-Net diffusion weights."
},
{
"id": 26,
"label": "Change reference",
"localized": "Update Reference Vector",
"reload": "n/a",
"hint": "Modify the input reference conditioning data."
},
{
"id": 27,
"label": "Color Grading",
"localized": "Chromatic Post-Processing",
"reload": "n/a",
"hint": "Apply post-inference look-up table (LUT) color space re-mapping for dynamic range correction."
},
{
"id": 28,
"label": "Control Methods",
"localized": "Guidance Algorithms",
"reload": "n/a",
"hint": "Selection of mathematical frameworks for spatial guidance."
},
{
"id": 29,
"label": "Control Media",
"localized": "Initialization Vector Input",
"reload": "n/a",
"hint": "Inject external pixel data stream as initial seed conditioning."
},
{
"id": 30,
"label": "Create Video",
"localized": "Temporal Synthesis",
"reload": "n/a",
"hint": "Compile frame sequence into a multiplexed video container."
},
{
"id": 31,
"label": "ChronoEdit",
"localized": "Temporal Sequence Modifier",
"reload": "n/a",
"hint": "Advanced frame-to-frame temporal coherence editing tools."
},
{
"id": 32,
"label": "Cross Attention",
"localized": "Cross-Attention Coupling",
"reload": "n/a",
"hint": "Configuration of latent-token attention mechanism interaction."
},
{
"id": 33,
"label": "CLiP Skip",
"localized": "Neural Layer Truncation",
"reload": "n/a",
"hint": "Early-abort signal injection for CLIP model; 1 terminates at the terminal layer, 2 at the sub-terminal layer, etc."
},
{
"id": 34,
"label": "Cache-DiT",
"localized": "DiT Latent Caching",
"reload": "n/a",
"hint": "Implement optimized caching for Diffusion Transformer (DiT) blocks."
},
{
"id": 35,
"label": "CFG-Zero",
"localized": "Classifier-Free Guidance Null-Signal",
"reload": "n/a",
"hint": "Zero-latency bypass protocol for CFG inference calculations."
},
{
"id": 36,
"label": "Cache folders",
"localized": "Temporary Asset Directories",
"reload": "n/a",
"hint": "Designate root paths for volatile storage of intermediate inference cache."
},
{
"id": 37,
"label": "Custom model loader",
"localized": "Modular Model Injector",
"reload": "n/a",
"hint": "Protocol for loading non-standard weights into the kernel."
},
{
"id": 38,
"label": "Client log",
"localized": "Execution Event Stream",
"reload": "n/a",
"hint": "Visual readout of real-time background process output."
},
{
"id": 39,
"label": "CLIP Analysis",
"localized": "Semantic Vector Analysis",
"reload": "n/a",
"hint": "Run CLIP-based statistical inference on visual input for metadata extraction."
},
{
"id": 40,
"label": "Context",
"localized": "Semantic Environment",
"reload": "n/a",
"hint": "Set parameters for situational prompt awareness."
},
{
"id": 41,
"label": "Contrast",
"localized": "Luminance Delta",
"reload": "n/a",
"hint": "Modulate the differential variance between photon intensity nodes.<br>Positive integers amplify contrast divergence.<br>Negative integers flatten the tonal histogram toward neutral equilibrium."
},
{
"id": 42,
"label": "Color temp",
"localized": "Kelvin Chromaticity",
"reload": "n/a",
"hint": "Shift blackbody radiator temperature in Kelvin units.<br>Lower integers (e.g., 2000K) propagate amber long-wavelength bias. Higher integers (e.g., 12000K) propagate cool short-wavelength bias.<br><br>6500K approximates neutral noon-day solar illumination. Operation scales RGB channel gain."
},
{
"id": 43,
"label": "CLAHE clip",
"localized": "CLAHE Clipping Ceiling",
"reload": "n/a",
"hint": "Clipping threshold for Contrast-Limited Adaptive Histogram Equalization.<br>Increased values allow localized contrast expansion for low-density feature recovery.<br><br>Nullify to 0. Optimal range: 1.0–3.0. Extreme values induce stochastic noise amplification."
},
{
"id": 44,
"label": "CLAHE grid",
"localized": "CLAHE Tiling Matrix",
"reload": "n/a",
"hint": "Tile grid dimensionality for CLAHE spatial regions.<br>Reduced grids (e.g., 2–4) favor global equalization homogeneity.<br>Increased grids (e.g., 12–16) isolate granular detail, increasing potential noise artifacts.<br><br>Default is 8. Only triggered if CLAHE clip > 0."
},
{
"id": 45,
"label": "Correction mode",
"localized": "Heuristic Correction Protocol",
"reload": "n/a",
"hint": "Select algorithmic approach for post-synthesis pixel correction."
},
{
"id": 46,
"label": "Crop to portrait",
"localized": "Vertical Aspect Normalization",
"reload": "n/a",
"hint": "Re-index image bounds into portrait ratio prior to IP-Adapter ingestion."
},
{
"id": 47,
"label": "Concept Tokens",
"localized": "Semantic Token Set",
"reload": "n/a",
"hint": "Manage discrete embedded concept-token arrays."
},
{
"id": 48,
"label": "Colormap",
"localized": "Spectral Mapping Data",
"reload": "n/a",
"hint": "Visualizing DAAM heatmap for attention activation."
},
{
"id": 49,
"label": "Cosine scale 1",
"localized": "Cosine Scalar Alpha",
"reload": "n/a",
"hint": "Modulating trigonometric scaling coefficient 1."
},
{
"id": 50,
"label": "Cosine scale 2",
"localized": "Cosine Scalar Beta",
"reload": "n/a",
"hint": "Modulating trigonometric scaling coefficient 2."
},
{
"id": 51,
"label": "Cosine scale 3",
"localized": "Cosine Scalar Gamma",
"reload": "n/a",
"hint": "Modulating trigonometric scaling coefficient 3."
},
{
"id": 52,
"label": "Cache model",
"localized": "Weight Volatile Storage",
"reload": "n/a",
"hint": "Enable memory-caching of neural weights for reduced reload latency."
},
{
"id": 53,
"label": "Cosine scale",
"localized": "Cosine Scaling Factor",
"reload": "n/a",
"hint": "Global trigonometric decay parameter."
},
{
"id": 54,
"label": "Cosine Background",
"localized": "Cosine Background Bias",
"reload": "n/a",
"hint": "Background-specific trigonometric scaling bias."
},
{
"id": 55,
"label": "Control guidance",
"localized": " Guidance Manifold",
"reload": "n/a",
"hint": "Coordinate InfiniteYou control manifold state."
},
{
"id": 56,
"label": "comma",
"localized": "Delimiter Char",
"reload": "n/a",
"hint": "Define the lexical separator character."
},
{
"id": 57,
"label": "Columns",
"localized": "Columnar Grid Density",
"reload": "n/a",
"hint": "Define vertical slice count for prompt matrixing."
},
{
"id": 58,
"label": "Censor",
"localized": "Safety Filter Daemon",
"reload": "n/a",
"hint": "Initialize NudeNet content filtering engine."
},
{
"id": 59,
"label": "Check language",
"localized": "Linguistic Parsing Probe",
"reload": "n/a",
"hint": "Validate linguistic encoding against prohibited safety taxonomy."
},
{
"id": 60,
"label": "Check policy violations",
"localized": "Violation Audit Probe",
"reload": "n/a",
"hint": "Execute policy conformance verification."
},
{
"id": 61,
"label": "Check banned words",
"localized": "Lexical Blacklist Scanner",
"reload": "n/a",
"hint": "Scan payload for blacklisted lexical tokens."
},
{
"id": 62,
"label": "Control preprocess input images",
"localized": "Preprocessing Input Buffer",
"reload": "n/a",
"hint": "Configure the preprocessing pipeline for FLUX toolsets."
},
{
"id": 63,
"label": "Control override denoise strength",
"localized": "Denoise Override Bypass",
"reload": "n/a",
"hint": "Force overwrite of standard denoise magnitude."
},
{
"id": 64,
"label": "Color variation",
"localized": "Chromatic Jitter Variance",
"reload": "n/a",
"hint": "Enable stochastic color variance for outpainting seamlessness."
},
{
"id": 65,
"label": "Change rate",
"localized": "Temporal Mutation Velocity",
"reload": "n/a",
"hint": "Adjust the rate of temporal change between video frames."
},
{
"id": 66,
"label": "Context after",
"localized": "Post-Sequence Context Window",
"reload": "n/a",
"hint": "Defining context window following the current operation."
},
{
"id": 67,
"label": "Context mask",
"localized": "Spatial Context Masking",
"reload": "n/a",
"hint": "Apply a spatial context mask to restrict generative influence."
},
{
"id": 68,
"label": "Control only",
"localized": "Pure Guidance Mode",
"reload": "n/a",
"hint": "Force system to utilize exclusively the provided Control input; bypasses standard prompt generation."
},
{
"id": 69,
"label": "CN Mode",
"localized": "Guidance Network State",
"reload": "n/a",
"hint": "Set ControlNet operation state."
},
{
"id": 70,
"label": "CN Strength",
"localized": "Guidance Network Scalar",
"reload": "n/a",
"hint": "Adjust magnitude of control network conditioning influence."
},
{
"id": 71,
"label": "CN Start",
"localized": "Guidance Injection Start-Step",
"reload": "n/a",
"hint": "Define the diffusion-step at which Guidance begins."
},
{
"id": 72,
"label": "CN End",
"localized": "Guidance Injection Stop-Step",
"reload": "n/a",
"hint": "Define the diffusion-step at which Guidance ceases."
},
{
"id": 73,
"label": "CN Tiles",
"localized": "Guidance Tiling Factor",
"reload": "n/a",
"hint": "Configure spatial tiling resolution for guidance input."
},
{
"id": 74,
"label": "Control factor",
"localized": "Primary Control Scalar",
"reload": "n/a",
"hint": "Coefficient controlling base guidance influence."
},
{
"id": 75,
"label": "ControlNet-XS",
"localized": "Compact Neural Guidance Framework",
"reload": "n/a",
"hint": "Enable lightweight (XS) optimized guidance architecture."
},
{
"id": 76,
"label": "Coarse",
"localized": "Coarse Quantization",
"reload": "n/a",
"hint": "Activate low-precision approximation mode."
},
{
"id": 77,
"label": "Color map",
"localized": "Spectral Mapping Data",
"reload": "n/a",
"hint": "Define source mapping for chromatic adherence."
},
{
"id": 78,
"label": "Crop to fit",
"localized": "Viewport Auto-Normalization",
"reload": "n/a",
"hint": "Automatically compute aspect-ratio convergence; upscale target frames to viewport dimensions. Excess spatial data is culled."
},
{
"id": 79,
"label": "CLiP Model",
"localized": "Semantic CLIP Engine",
"reload": "n/a",
"hint": "Specify the CLIP weight backbone for text-visual alignment. Larger models (e.g., ViT-L, ViT-H) offer increased vector accuracy at the cost of compute throughput and VRAM saturation."
},
{
"id": 80,
"label": "Caption Model",
"localized": "BLIP Descriptive Engine",
"reload": "n/a",
"hint": "Select the BLIP weight set for visual semantic analysis. This engine generates initial descriptive token-streams which are subsequently refined by CLIP."
},
{
"id": 81,
"label": "clip: max length",
"localized": "Token Vector Ceiling",
"reload": "n/a",
"hint": "Set upper threshold for semantic token sequence length."
},
{
"id": 82,
"label": "clip: chunk size",
"localized": "Data Segmentation Chunk",
"reload": "n/a",
"hint": "Define the memory block size for token processing."
},
{
"id": 83,
"label": "clip: min flavors",
"localized": "Flavor Entropy Floor",
"reload": "n/a",
"hint": "Lower bound for stylistic flavor token generation."
},
{
"id": 84,
"label": "clip: max flavors",
"localized": "Flavor Entropy Ceiling",
"reload": "n/a",
"hint": "Upper bound for stylistic flavor token generation."
},
{
"id": 85,
"label": "clip: intermediates",
"localized": "Latent State Capture",
"reload": "n/a",
"hint": "Enable/disable retention of intermediate vector states."
},
{
"id": 86,
"label": "clip: num beams",
"localized": "Beam Search Width",
"reload": "n/a",
"hint": "Set the number of parallel beams for semantic searching."
},
{
"id": 87,
"label": "Character threshold",
"localized": "Identity Confidence Threshold",
"reload": "n/a",
"hint": "Probabilistic confidence threshold for identifying character-class tokens. Only tokens exceeding this variance score will be materialized. Higher thresholds ensure precision; lower thresholds expand recall."
},
{
"id": 88,
"label": "Cross-attention",
"localized": "Cross-Attention Coupling",
"reload": "n/a",
"hint": "Enable coupling of cross-attention layer states."
},
{
"id": 89,
"label": "cpu",
"localized": "CPU-Only Fallback",
"reload": "n/a",
"hint": "Force execution on host CPU and system RAM; maximum stability but severely degraded throughput."
},
{
"id": 90,
"label": "Cached models",
"localized": "Active Weight Resident-Count",
"reload": "n/a",
"hint": "Quantity of neural network weights maintained in volatile RAM for zero-latency retrieval."
},
{
"id": 91,
"label": "combined",
"localized": "Combined Multi-Tensor",
"reload": "n/a",
"hint": "Merge multiple neural stream outputs."
},
{
"id": 92,
"label": "Compress ratio",
"localized": "Quantization Scalar",
"reload": "n/a",
"hint": "Specify the ratio of weight quantization."
},
{
"id": 93,
"label": "compel",
"localized": "Compel Weight-Syntax Parser",
"reload": "n/a",
"hint": "Activate advanced Compel-style syntax processing."
},
{
"id": 94,
"label": "Channels last",
"localized": "NHWC Memory Alignment",
"reload": "n/a",
"hint": "Enforce NHWC memory layout for optimized convolution operations."
},
{
"id": 95,
"label": "cuDNN full-depth benchmark",
"localized": "cuDNN Exhaustive Profiler",
"reload": "n/a",
"hint": "Run full-depth cuDNN profiling for hardware-agnostic kernel optimization."
},
{
"id": 96,
"label": "cuDNN benchmark limit",
"localized": "cuDNN Profiler Ceiling",
"reload": "n/a",
"hint": "Set iteration limit for kernel benchmarking."
},
{
"id": 97,
"label": "cudaMallocAsync",
"localized": "Asynchronous Memory Allocation",
"reload": "n/a",
"hint": "Implement the CUDA asynchronous memory allocator. Decreases latency and memory fragmentation, though may induce instability on specific GPU architectures."
},
{
"id": 98,
"label": "CLiP skip enabled",
"localized": "Layer Truncation Active",
"reload": "n/a",
"hint": "Override default CLIP architecture depth."
},
{
"id": 99,
"label": "Cache-DiT enabled",
"localized": "DiT Caching Active",
"reload": "n/a",
"hint": "Force DiT caching protocols."
},
{
"id": 100,
"label": "Cache-DiT F-compute blocks",
"localized": "DiT Forward-Pass Block-Index",
"reload": "n/a",
"hint": "Specify forward-pass indices for caching."
},
{
"id": 101,
"label": "Cache-DiT B-compute blocks",
"localized": "DiT Backward-Pass Block-Index",
"reload": "n/a",
"hint": "Specify backward-pass indices for caching."
},
{
"id": 102,
"label": "Cache-DiT residual diff threshold",
"localized": "DiT Residual Divergence Delta",
"reload": "n/a",
"hint": "Set delta divergence for residual caching."
},
{
"id": 103,
"label": "Cache-DiT warmup steps",
"localized": "DiT Cache Warmup Iterations",
"reload": "n/a",
"hint": "Set iteration count to stabilize DiT cache."
},
{
"id": 104,
"label": "CFG-Zero enabled",
"localized": "Null-Signal CFG Active",
"reload": "n/a",
"hint": "Toggle CFG-Zero propagation."
},
{
"id": 105,
"label": "CFG-Zero star",
"localized": "CFG-Zero Vector Star",
"reload": "n/a",
"hint": "Apply star-topology weight to CFG-Zero."
},
{
"id": 106,
"label": "CFG-Zero steps",
"localized": "CFG-Zero Iteration Count",
"reload": "n/a",
"hint": "Define steps for CFG-Zero operation."
},
{
"id": 107,
"label": "cudagraphs",
"localized": "CUDA Kernel Graphing",
"reload": "n/a",
"hint": "Capture execution into CUDA Graphs to minimize CPU-to-GPU dispatch overhead."
},
{
"id": 108,
"label": "Cleanup temporary folder on startup",
"localized": "Volatile Directory Flush",
"reload": "n/a",
"hint": "Purge all temporary filesystem caches during kernel initialization."
},
{
"id": 109,
"label": "Create ZIP archive for multiple images",
"localized": "Batch Archival Compression",
"reload": "n/a",
"hint": "Compress multi-image output streams into a ZIP container."
},
{
"id": 110,
"label": "cover",
"localized": "Fill Extent",
"reload": "n/a",
"hint": "Scale content to completely occupy viewport bounds."
},
{
"id": 111,
"label": "Compact view",
"localized": "Condensed Layout State",
"reload": "n/a",
"hint": "Minimize GUI bloat for dense information density."
},
{
"id": 112,
"label": "CivitAI token",
"localized": "API Auth-Token",
"reload": "n/a",
"hint": "Input personal access token for model hub authentication."
},
{
"id": 113,
"label": "CivitAI save to subfolders",
"localized": "Categorical Asset Nesting",
"reload": "n/a",
"hint": "Enable hierarchical directory structures for model storage."
},
{
"id": 114,
"label": "CivitAI subfolder template",
"localized": "Directory Naming Convention",
"reload": "n/a",
"hint": "Define directory generation template string."
},
{
"id": 115,
"label": "CivitAI discard downloads with hash mismatch",
"localized": "Integrity-Fail Auto-Abort",
"reload": "n/a",
"hint": "Automatically reject assets failing SHA checksum verification."
},
{
"id": 116,
"label": "Cache text encoder results",
"localized": "Text-Encoder Output Buffer",
"reload": "n/a",
"hint": "Cache projected text-vector embeddings."
},
{
"id": 117,
"label": "contain",
"localized": "Viewport Containment",
"reload": "n/a",
"hint": "Constrain visual output to viewport boundaries without clipping."
},
{
"id": 118,
"label": "Ctrl+up/down word delimiters",
"localized": "Token-Delimiter Navigation",
"reload": "n/a",
"hint": "Define keyboard shortcut protocol for token manipulation."
},
{
"id": 119,
"label": "Ctrl+up/down precision when editing (attention:1.1)",
"localized": "Precision-Edit Step (Attention)",
"reload": "n/a",
"hint": "Set incremental precision for attention weights."
},
{
"id": 120,
"label": "Ctrl+up/down precision when editing <extra networks:0.9>",
"localized": "Precision-Edit Step (Networks)",
"reload": "n/a",
"hint": "Set incremental precision for network weights."
},
{
"id": 121,
"label": "Cached VAEs",
"localized": "VAE Residue Cache",
"reload": "n/a",
"hint": "Number of VAE decoders to retain in VRAM."
},
{
"id": 122,
"label": "ckpt",
"localized": "Checkpoint Reference",
"reload": "n/a",
"hint": "Reference to active checkpoint node."
},
{
"id": 123,
"label": "Comma separated list with optional strength per LoRA",
"localized": "LoRA Vector Array",
"reload": "n/a",
"hint": "Define comma-delimited LoRA sequence with magnitude modifiers."
},
{
"id": 124,
"label": "Custom pipeline",
"localized": "Custom Inference Pipeline",
"reload": "n/a",
"hint": "Inject custom pipeline definition script."
},
{
"id": 125,
"label": "Custom model",
"localized": "Model Override",
"reload": "n/a",
"hint": "Define manual model override path."
},
{
"id": 126,
"label": "ControlNet unit 1",
"localized": "Guidance Module 01",
"reload": "n/a",
"hint": "Configure primary Guidance unit."
},
{
"id": 127,
"label": "ControlNet unit 2",
"localized": "Guidance Module 02",
"reload": "n/a",
"hint": "Configure secondary Guidance unit."
},
{
"id": 128,
"label": "ControlNet unit 3",
"localized": "Guidance Module 03",
"reload": "n/a",
"hint": "Configure tertiary Guidance unit."
},
{
"id": 129,
"label": "ControlNet unit 4",
"localized": "Guidance Module 04",
"reload": "n/a",
"hint": "Configure quaternary Guidance unit."
},
{
"id": 130,
"label": "ControlNet-XS unit 1",
"localized": "Compact Guidance 01",
"reload": "n/a",
"hint": "Configure primary XS Guidance unit."
},
{
"id": 131,
"label": "ControlNet-XS unit 2",
"localized": "Compact Guidance 02",
"reload": "n/a",
"hint": "Configure secondary XS Guidance unit."
},
{
"id": 132,
"label": "ControlNet-XS unit 3",
"localized": "Compact Guidance 03",
"reload": "n/a",
"hint": "Configure tertiary XS Guidance unit."
},
{
"id": 133,
"label": "ControlNet-XS unit 4",
"localized": "Compact Guidance 04",
"reload": "n/a",
"hint": "Configure quaternary XS Guidance unit."
},
{
"id": 134,
"label": "Control-LLLite unit 1",
"localized": "Lite-Guidance Module 01",
"reload": "n/a",
"hint": "Configure primary LLLite Guidance unit."
},
{
"id": 135,
"label": "Control-LLLite unit 2",
"localized": "Lite-Guidance Module 02",
"reload": "n/a",
"hint": "Configure secondary LLLite Guidance unit."
},
{
"id": 136,
"label": "Control-LLLite unit 3",
"localized": "Lite-Guidance Module 03",
"reload": "n/a",
"hint": "Configure tertiary LLLite Guidance unit."
},
{
"id": 137,
"label": "Control-LLLite unit 4",
"localized": "Lite-Guidance Module 04",
"reload": "n/a",
"hint": "Configure quaternary LLLite Guidance unit."
},
{
"id": 138,
"label": "Control settings",
"localized": "Guidance Parametrics",
"reload": "n/a",
"hint": "Global guidance system configuration."
},
{
"id": 139,
"label": "Canny",
"localized": "Edge-Detection Matrix",
"reload": "n/a",
"hint": "Canny edge heuristic filter."
},
{
"id": 140,
"label": "Condition",
"localized": "Signal Conditioning",
"reload": "n/a",
"hint": "Signal conditioning protocol."
},
{
"id": 141,
"label": "Caption: Advanced Options",
"localized": "Advanced Descriptive Parametrics",
"reload": "n/a",
"hint": "Access extended descriptor configuration."
},
{
"id": 142,
"label": "Caption: Batch",
"localized": "Batch Metadata Processing",
"reload": "n/a",
"hint": "Execute bulk descriptor generation."
},
{
"id": 143,
"label": "Control elements",
"localized": "Guidance Asset Array",
"reload": "n/a",
"hint": "Guidance elements are high-level advanced models utilized to steer generative output toward specific target outcomes."
}
],
"d": [
{
"id": 0,
"label": "Docs",
"localized": "Documentation Matrix",
"reload": "",
"hint": "Access the comprehensive knowledge repository"
},
{
"id": 0,
"label": "Discord",
"localized": "Community Uplink",
"reload": "",
"hint": "Establish connection with the neural collective"
},
{
"id": 0,
"label": "Detail",
"localized": "High-Fidelity Enhancement",
"reload": "",
"hint": "The Detailer subsystem initiates iterative recursive rendering at superior vector density for identified heuristic nodes"
},
{
"id": 0,
"label": "Delete",
"localized": "Purge Data",
"reload": "",
"hint": "Execute binary annihilation of the image buffer"
},
{
"id": 0,
"label": "Default",
"localized": "Baseline Configuration",
"reload": "",
"hint": "Revert parameters to factory-preset neural weights"
},
{
"id": 0,
"label": "Download updates",
"localized": "Fetch Repository Delta",
"reload": "",
"hint": "Synchronize current binary state with the latest upstream patch stream"
},
{
"id": 0,
"label": "Download model",
"localized": "Ingest Model Architecture",
"reload": "",
"hint": "Initiate data packet transfer for neural weight acquisition"
},
{
"id": 0,
"label": "Diffusers",
"localized": "Latent Diffusion Arrays",
"reload": "",
"hint": "Access the standard HuggingFace Diffusion pipeline protocols"
},
{
"id": 0,
"label": "Distilled",
"localized": "Compressed Manifold",
"reload": "",
"hint": "Utilize optimized model architecture with reduced parameter overhead"
},
{
"id": 0,
"label": "Description",
"localized": "Metadata Narrative",
"reload": "",
"hint": "Textual semantic representation of the generated asset"
},
{
"id": 0,
"label": "Details",
"localized": "Refinement Parameters",
"reload": "",
"hint": "Access configuration modules for high-fidelity signal boosting"
},
{
"id": 0,
"label": "Detailer",
"localized": "Recursive Refiner",
"reload": "",
"hint": "The Detailer executes supplementary generation passes at increased pixel density for detected object signatures"
},
{
"id": 0,
"label": "Denoise",
"localized": "Noise Variance Coefficient",
"reload": "",
"hint": "Adjusts the stochastic interference threshold. High noise variance allows significant divergence from input vector manifolds during the generative epoch"
},
{
"id": 0,
"label": "DirectML",
"localized": "Hardware Abstraction Layer (DirectML)",
"reload": "",
"hint": "Interface utilizing the DirectX machine learning compute backend"
},
{
"id": 0,
"label": "Download model from huggingface",
"localized": "Fetch Asset from Model Hub",
"reload": "",
"hint": "Execute remote procedure call to extract model weights from the HuggingFace repository"
},
{
"id": 0,
"label": "Dropdown",
"localized": "Selection Array",
"reload": "",
"hint": "Expandable list of viable configuration vectors"
},
{
"id": 0,
"label": "dynamic",
"localized": "Adaptive Flow Variance",
"reload": "",
"hint": "Adaptive manifold shifting automates the denoising schedule calibration relative to your target vector dimensions.<br><br>The scheduler interpolates between base_shift and max_shift parameters based on actual pixel resolution.<br><br>Enabling this nullifies static Flow shift constants."
},
{
"id": 0,
"label": "Detailer models",
"localized": "Detection Model Registry",
"reload": "",
"hint": "Select the optimal computer vision classification agents for the refinement process"
},
{
"id": 0,
"label": "Detailer list",
"localized": "Process Queue",
"reload": "",
"hint": "Display active refinement procedures in the task buffer"
},
{
"id": 0,
"label": "Detailer classes",
"localized": "Heuristic Logic Gates",
"reload": "",
"hint": "Select specific object classification subsets if the chosen detection agent supports multi-class logic"
},
{
"id": 0,
"label": "Detailer prompt",
"localized": "Refinement Semantic Tokenizer",
"reload": "",
"hint": "Inject discrete semantic tokens for the refinement pass. Falls back to primary token stream if null"
},
{
"id": 0,
"label": "Detailer negative prompt",
"localized": "Anti-Semantic Refinement Stream",
"reload": "",
"hint": "Inject discrete anti-semantic tokens for the refinement pass. Falls back to primary anti-semantic stream if null"
},
{
"id": 0,
"label": "Detailer steps",
"localized": "Recursive Iteration Count",
"reload": "",
"hint": "The integer quantity of diffusion steps allocated to the refinement process"
},
{
"id": 0,
"label": "Detailer strength",
"localized": "Refinement Intensity",
"reload": "",
"hint": "The stochastic variance coefficient for the refinement process"
},
{
"id": 0,
"label": "Detailer resolution",
"localized": "Refinement Spatial Matrix",
"reload": "",
"hint": "Define the grid dimensions for the high-fidelity refinement pass"
},
{
"id": 0,
"label": "Denoising batch size",
"localized": "Stochastic Parallelization Factor",
"reload": "",
"hint": "Set the number of simultaneous diffusion chains to process per batch"
},
{
"id": 0,
"label": "Dilate tau",
"localized": "Dilution Constant (Tau)",
"reload": "",
"hint": "Adjusts the temporal dilation threshold for signal processing"
},
{
"id": 0,
"label": "Draw legend",
"localized": "Visualize Parameter Matrix",
"reload": "",
"hint": "Overlay semantic annotations onto the grid visualization"
},
{
"id": 0,
"label": "Denoising strength",
"localized": "Algorithmic Fidelity Coefficient",
"reload": "",
"hint": "Determines the algorithm's adherence to the source input vector manifold. 0.0 results in zero state change; 1.0 results in total chaotic divergence. Values under 1.0 reduce the iterative sampling requirement relative to the primary Sampling Steps index."
},
{
"id": 0,
"label": "Denoise start",
"localized": "Phase Transition Trigger",
"reload": "",
"hint": "Override the standard schedule by specifying the precise temporal crossover from base model to refiner. Only applies to hybrid Refiner usage. If set to boundaries (0 or 1), the standard denoising strength is maintained."
},
{
"id": 0,
"label": "down",
"localized": "Vector Descension",
"reload": "",
"hint": "Initiate directional processing along the negative Y-axis"
},
{
"id": 0,
"label": "Decode chunks",
"localized": "Binary Fragment Decoding",
"reload": "",
"hint": "Process discrete segments of the video buffer"
},
{
"id": 0,
"label": "Dilate",
"localized": "Morphological Dilation",
"reload": "",
"hint": "Expand binary mask boundaries using structural kernels"
},
{
"id": 0,
"label": "Depth and normal",
"localized": "Z-Buffer and Surface Vector Map",
"reload": "",
"hint": "Enable dual-channel spatial mapping"
},
{
"id": 0,
"label": "Distance threshold",
"localized": "Proximity Metric",
"reload": "",
"hint": "Define the cutoff point for spatial proximity calculation"
},
{
"id": 0,
"label": "Depth threshold",
"localized": "Z-Plane Boundary",
"reload": "",
"hint": "Define the Z-axis clipping threshold"
},
{
"id": 0,
"label": "Denoising steps",
"localized": "Stochastic Iteration Cycle",
"reload": "",
"hint": "Define total recursive denoising cycles"
},
{
"id": 0,
"label": "Depth map",
"localized": "Spatial Topology Projection",
"reload": "",
"hint": "Utilize grayscale mapping to define 3D spatial hierarchy"
},
{
"id": 0,
"label": "Dynamic shift",
"localized": "Adaptive Frequency Modulation",
"reload": "",
"hint": "Enable real-time temporal frequency oscillation"
},
{
"id": 0,
"label": "Duration",
"localized": "Temporal Vector Span",
"reload": "",
"hint": "Specify the total temporal duration for the output sequence"
},
{
"id": 0,
"label": "Device Info",
"localized": "Compute Hardware Diagnostics",
"reload": "",
"hint": "Display telemetry data for current compute acceleration hardware"
},
{
"id": 0,
"label": "Diffusers load using Run:ai streamer",
"localized": "Stream via Run:ai Cluster Protocol",
"reload": "",
"hint": "Enable remote model loading via the Run:ai streaming interface"
},
{
"id": 0,
"label": "Disable accelerate",
"localized": "Nullify Acceleration Library",
"reload": "",
"hint": "Deactivate the HuggingFace Accelerate optimization framework"
},
{
"id": 0,
"label": "Disable T5 text encoder",
"localized": "Bypass T5 Logic Layer",
"reload": "",
"hint": "Disable the T5 semantic processing node during text tokenization"
},
{
"id": 0,
"label": "Dynamic loss threshold",
"localized": "Adaptive Entropy Clipping",
"reload": "",
"hint": "Enable autonomous recalibration of the loss function clipping boundary"
},
{
"id": 0,
"label": "Dequantize using torch.compile",
"localized": "JIT-Compiled Dequantization",
"reload": "",
"hint": "Execute model dequantization using the Torch Just-In-Time compilation framework"
},
{
"id": 0,
"label": "Dequantize using full precision",
"localized": "High-Bitrate Dequantization",
"reload": "",
"hint": "Execute dequantization routines using FP32 precision standard"
},
{
"id": 0,
"label": "Disabled",
"localized": "Logic Gateway Offline",
"reload": "",
"hint": "The current module interface is inactive"
},
{
"id": 0,
"label": "Dynamic Attention BMM",
"localized": "Heuristic Block Matrix Multiplication",
"reload": "",
"hint": "Segments attention tensors into modular blocks during compute. Increases processing duration but significantly optimizes VRAM memory bandwidth usage"
},
{
"id": 0,
"label": "Dynamic attention",
"localized": "Adaptive Attention Kernel",
"reload": "",
"hint": "Dynamically calibrates attention matrix compute per-step. Preserves VRAM overhead at the cost of cycle efficiency."
},
{
"id": 0,
"label": "Dynamic Attention slicing rate",
"localized": "Attention Matrix Partitioning Index",
"reload": "",
"hint": "Defines the frequency and size of attention tensor slicing"
},
{
"id": 0,
"label": "Dynamic Attention trigger rate",
"localized": "Attention Activation Frequency",
"reload": "",
"hint": "Determines the threshold to initiate dynamic attention logic"
},
{
"id": 0,
"label": "Deterministic mode",
"localized": "Fixed-State Reproducibility",
"reload": "",
"hint": "Forces uniform output for identical seed vectors. Essential for result validation, but may suppress performance optimizations."
},
{
"id": 0,
"label": "DirectML retry ops for NaN",
"localized": "DirectML NaN Exception Handler",
"reload": "",
"hint": "Enable error-trapping and re-execution for NaN floating-point faults"
},
{
"id": 0,
"label": "deep-cache",
"localized": "DeepCache Heuristic Buffer",
"reload": "",
"hint": "Utilize DeepCache architecture for latent state caching"
},
{
"id": 0,
"label": "DeepCache cache interval",
"localized": "Buffer Refresh Periodicity",
"reload": "",
"hint": "Defines the diffusion cycle interval for latent state refreshes"
},
{
"id": 0,
"label": "Directory for temporary images; leave empty for default",
"localized": "Volatile Image Storage Path",
"reload": "",
"hint": "Specify the directory buffer for volatile assets. Null defaults to root /temp/"
},
{
"id": 0,
"label": "Do not display video output in UI",
"localized": "Suppress Video Framebuffer",
"reload": "",
"hint": "Disable the injection of video frames into the web interface stream"
},
{
"id": 0,
"label": "Directory name pattern",
"localized": "Asset Path Hierarchical Logic",
"reload": "",
"hint": "Define output sub-directory structures using token markers: [steps], [cfg],[prompt_hash], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]"
},
{
"id": 0,
"label": "Dark",
"localized": "Low-Luminance UI Theme",
"reload": "",
"hint": "Enable dark-spectrum color palette"
},
{
"id": 0,
"label": "Disabled UI tabs",
"localized": "Module UI Masking",
"reload": "",
"hint": "Select interface modules to obfuscate"
},
{
"id": 0,
"label": "Disable variable aspect ratio",
"localized": "Fixed-Aspect Lockout",
"reload": "",
"hint": "Restricts output dimensions to uniform ratios"
},
{
"id": 0,
"label": "Desktop",
"localized": "Local Workstation Interface",
"reload": "",
"hint": "Configure interface for local host environment"
},
{
"id": 0,
"label": "Downscale high resolution live previews",
"localized": "Viewport Decimation",
"reload": "",
"hint": "Apply downsampling filters to the live preview buffer to reduce bandwidth overhead"
},
{
"id": 0,
"label": "Detailer use model augment",
"localized": "Refinement Accuracy Amplification",
"reload": "",
"hint": "Increases detection precision via data augmentation on refinement models"
},
{
"id": 0,
"label": "Default strength",
"localized": "Default Weight Multiplier",
"reload": "",
"hint": "Set the baseline scalar for auxiliary network injection (e.g., Lora weight scaling)"
},
{
"id": 0,
"label": "Do not change selected model when reading generation parameters",
"localized": "Lock Model State during Parameter Ingestion",
"reload": "",
"hint": "Prevents the model swap subroutine when importing generation metadata"
},
{
"id": 0,
"label": "Do conditional and unconditional denoising in one batch",
"localized": "Batch Vector Consolidation",
"reload": "",
"hint": "Execute dual-state denoising (CFG) in a single unified compute pass"
},
{
"id": 0,
"label": "Disable NaN check",
"localized": "Nullify Floating-Point Error Detection",
"reload": "",
"hint": "Disables the diagnostic scan for NaN floating-point values. Recommended only for high-stability hardware."
},
{
"id": 0,
"label": "Disallow models in ckpt format",
"localized": "Reject Legacy Checkpoint Vectors",
"reload": "",
"hint": "Restrict ingestion of legacy serialized .ckpt file structures"
},
{
"id": 0,
"label": "Default upscaler for image resize operations",
"localized": "Default Upsampling Algorithm",
"reload": "",
"hint": "Define the primary algorithm for spatial resampling operations"
},
{
"id": 0,
"label": "Debug info",
"localized": "Telemetry/Diagnostic Dump",
"reload": "",
"hint": "Initiate stream of runtime diagnostic logging"
},
{
"id": 0,
"label": "Download folder",
"localized": "Binary Ingestion Directory",
"reload": "",
"hint": "Define filesystem path for downloaded model assets"
},
{
"id": 0,
"label": "DWPose",
"localized": "DWPose Skeleton Estimator",
"reload": "",
"hint": "Utilize DWPose for high-fidelity pose estimation"
},
{
"id": 0,
"label": "Depth Anything",
"localized": "Depth Anything Topology Estimator",
"reload": "",
"hint": "Utilize Depth Anything algorithm for comprehensive depth field reconstruction"
},
{
"id": 0,
"label": "Depth Pro",
"localized": "Depth Pro Spatial Mapper",
"reload": "",
"hint": "Utilize Depth Pro for professional-grade spatial topology projection"
},
{
"id": 0,
"label": "Decode",
"localized": "Bitstream Decoding",
"reload": "",
"hint": "Process latent vector packets into observable formats"
}
],
"e": [
{
"id": 883,
"label": "Enhance prompt",
"localized": "Synthesize heuristic prompt matrix",
"reload": "",
"hint": "Initialize the computational heuristic prompt matrix enhancement protocol."
},
{
"id": 0,
"label": "Enhance now",
"localized": "Execute prompt optimization",
"reload": "",
"hint": "Execute prompt optimization sequence via the designated neural LLM tensor cluster."
},
{
"id": 0,
"label": "Extras",
"localized": "Augmented modules",
"reload": "",
"hint": "Supplementary auxiliary subroutines toggleable during the generation vector."
},
{
"id": 0,
"label": "Extensions",
"localized": "External module extensions",
"reload": "",
"hint": "Extended runtime integration modules."
},
{
"id": 0,
"label": "Extract LoRA",
"localized": "Isolate LoRA manifold",
"reload": "",
"hint": "Isolate the Low-Rank Adaptation (LoRA) weight matrix from existing architectures."
},
{
"id": 0,
"label": "Embedded metadata",
"localized": "Intrinsic heuristic telemetry",
"reload": "",
"hint": "Embedded telemetry packets injected into the binary stream."
},
{
"id": 0,
"label": "Extension list",
"localized": "Module registry directory",
"reload": "",
"hint": "Catalog of all registered external module extensions."
},
{
"id": 0,
"label": "Execution Precision",
"localized": "Bit-depth operational fidelity",
"reload": "",
"hint": "Calibrate the mathematical precision of the compute execution pipeline."
},
{
"id": 0,
"label": "Embeddings",
"localized": "Vector embedding lattices",
"reload": "",
"hint": "Configurate multi-dimensional vector embedding space lattices."
},
{
"id": 0,
"label": "Extract currently loaded LoRA(s)",
"localized": "Extract active LoRA manifolds",
"reload": "",
"hint": "Extract the currently instantiated Low-Rank Adaptation weight tensors."
},
{
"id": 0,
"label": "Effects",
"localized": "Post-process filter effects",
"reload": "",
"hint": "Apply secondary shader processing effects to the rendering pipeline."
},
{
"id": 0,
"label": "Enable LayerSkipConfig",
"localized": "Initialize LayerSkipConfig protocol",
"reload": "",
"hint": "Activate the neural network layer skipping optimization protocol."
},
{
"id": 0,
"label": "Enable refine pass",
"localized": "Engage refinement loop",
"reload": "",
"hint": "Execute an iterative image-to-image refinement loop to upscale and inject high-frequency entropy details via a secondary refiner model."
},
{
"id": 0,
"label": "Enable detailer pass",
"localized": "Engage detail enhancement cycle",
"reload": "",
"hint": "Execute a target-specific detection cycle to reprocess localized geometry at higher pixel-density resolutions."
},
{
"id": 0,
"label": "Edge padding",
"localized": "Boundary pixel expansion",
"reload": "",
"hint": "Expand the masked area boundary by a variable percentage constant."
},
{
"id": 0,
"label": "Edge blur",
"localized": "Boundary convolution blur",
"reload": "",
"hint": "Apply a kernel blur convolution to the masked region boundaries."
},
{
"id": 0,
"label": "End",
"localized": "Terminus vector",
"reload": "",
"hint": "Define the termination sequence of the compute process."
},
{
"id": 0,
"label": "ETA",
"localized": "Predicted temporal latency",
"reload": "",
"hint": "Calculate the projected temporal latency for completion."
},
{
"id": 0,
"label": "Enable FreeU",
"localized": "Activate FreeU architecture",
"reload": "",
"hint": "Inject the FreeU dynamic neural scaling modulation."
},
{
"id": 0,
"label": "Enable tonemap",
"localized": "Activate tonemapping filter",
"reload": "",
"hint": "Enable the high-dynamic-range tonemapping transformation pipeline."
},
{
"id": 0,
"label": "Enabled",
"localized": "Active state",
"reload": "",
"hint": "Set operational state to active binary logic."
},
{
"id": 0,
"label": "Encoder",
"localized": "Latent space encoder",
"reload": "",
"hint": "Define the primary latent space compression encoder."
},
{
"id": 0,
"label": "Enhanced prompt",
"localized": "Optimized heuristic string",
"reload": "",
"hint": "The secondary heuristic prompt data output from the LLM core."
},
{
"id": 0,
"label": "Edit start",
"localized": "Edit sequence commencement",
"reload": "",
"hint": "Define the iteration threshold at which the edit sequence commences."
},
{
"id": 0,
"label": "Edit stop",
"localized": "Edit sequence termination",
"reload": "",
"hint": "Define the iteration threshold at which the edit sequence terminates."
},
{
"id": 0,
"label": "Erode",
"localized": "Morphological erosion",
"reload": "",
"hint": "Execute morphological erosion on the target binary mask."
},
{
"id": 0,
"label": "edge",
"localized": "Edge thresholding",
"reload": "",
"hint": "Apply edge detection thresholding algorithms."
},
{
"id": 0,
"label": "Ensemble size",
"localized": "Ensemble cluster cardinality",
"reload": "",
"hint": "Set the magnitude of the model ensemble cluster."
},
{
"id": 0,
"label": "Enable",
"localized": "Activate",
"reload": "",
"hint": "Transition state to enabled."
},
{
"id": 0,
"label": "Erode size",
"localized": "Erosion kernel dimensionality",
"reload": "",
"hint": "Define the pixel radius for the erosion kernel."
},
{
"id": 0,
"label": "Enable PixelArt",
"localized": "Initialize PixelArt downsampler",
"reload": "",
"hint": "Activate the aesthetic downsampling PixelArt filter."
},
{
"id": 0,
"label": "Enable edge detection",
"localized": "Activate edge feature extraction",
"reload": "",
"hint": "Initiate automated edge feature detection and extraction."
},
{
"id": 0,
"label": "Edge block size",
"localized": "Edge block resolution",
"reload": "",
"hint": "Define the resolution of the edge analysis blocks."
},
{
"id": 0,
"label": "Edge image weight",
"localized": "Edge intensity modulation",
"reload": "",
"hint": "Modulate the weight intensity of the edge detection pass."
},
{
"id": 0,
"label": "Escape brackets",
"localized": "Sanitize syntax delimiters",
"reload": "",
"hint": "Sanitize parentheses and bracket delimiters in tags via backslash escaping. Necessary when tokens utilize syntax-sensitive characters like ( ) [ ]. Enable this for prompt-direct output."
},
{
"id": 0,
"label": "Exclude tags",
"localized": "Filter token set",
"reload": "",
"hint": "Comma-delimited set of tokens to ignore. Optimized for discarding redundant or noisy tag vectors."
},
{
"id": 0,
"label": "Extension GIT repository URL",
"localized": "External Git repository endpoint",
"reload": "",
"hint": "Input the specific remote Git repository URI hosted on the GitHub network."
},
{
"id": 0,
"label": "ExecutionProvider.CPU",
"localized": "Compute host (CPU)",
"reload": "",
"hint": "Assign compute workload to the general-purpose CPU architecture."
},
{
"id": 0,
"label": "ExecutionProvider.DirectML",
"localized": "DirectML compute engine",
"reload": "",
"hint": "Assign compute workload to the DirectML abstraction layer."
},
{
"id": 0,
"label": "ExecutionProvider.CUDA",
"localized": "CUDA acceleration core",
"reload": "",
"hint": "Assign compute workload to NVIDIA CUDA parallel processing cores."
},
{
"id": 0,
"label": "ExecutionProvider.ROCm",
"localized": "ROCm acceleration core",
"reload": "",
"hint": "Assign compute workload to AMD ROCm parallel processing cores."
},
{
"id": 0,
"label": "ExecutionProvider.MIGraphX",
"localized": "MIGraphX acceleration engine",
"reload": "",
"hint": "Assign compute workload to the MIGraphX graph acceleration engine."
},
{
"id": 0,
"label": "ExecutionProvider.OpenVINO",
"localized": "OpenVINO acceleration inference",
"reload": "",
"hint": "Assign compute workload to the OpenVINO inference acceleration suite."
},
{
"id": 0,
"label": "Enable modular pipelines (experimental)",
"localized": "Activate experimental modular pipelines",
"reload": "",
"hint": "Engage the modularized pipeline architecture (Warning: Beta instability)."
},
{
"id": 0,
"label": "Expandable segments",
"localized": "Dynamically expandable data segments",
"reload": "",
"hint": "Initialize data structures with dynamic, expandable segment capacity."
},
{
"id": 0,
"label": "Enable use of reference models",
"localized": "Engage reference model architecture",
"reload": "",
"hint": "Activate referencing sub-routines for cross-model inference."
},
{
"id": 0,
"label": "Enable embeddings support",
"localized": "Activate embedding injection",
"reload": "",
"hint": "Activate support protocols for vector embedding injections."
},
{
"id": 0,
"label": "Enable file wildcards support",
"localized": "Activate file wildcard pattern matching",
"reload": "",
"hint": "Engage support for shell-style wildcard pattern expansion on local file paths."
},
{
"id": 0,
"label": "Extra noise multiplier for img2img",
"localized": "Latent noise amplification coefficient",
"reload": "",
"hint": "Apply an amplification coefficient to the latent noise injection for img2img cycles."
},
{
"id": 0,
"label": "Embeddings train templates directory",
"localized": "Embedding training template repository",
"reload": "",
"hint": "Define the local directory path for hosting training template schemas."
},
{
"id": 0,
"label": "Enable Hypernetwork support",
"localized": "Activate Hypernetwork tensor integration",
"reload": "",
"hint": "Engage legacy support for Hypernetwork tensor injection."
},
{
"id": 0,
"label": "Enable tensorboard logging",
"localized": "Activate TensorBoard telemetry logging",
"reload": "",
"hint": "Commence streaming of run-time metrics into the TensorBoard analysis framework."
}
],
"f": [
{
"id": 0,
"label": "Fixed",
"localized": "Hardcoded Matrix Scalar",
"reload": "",
"hint": "Normalizes input tensor geometry to target resolution vector space. Mismatched aspect ratios will trigger coordinate system distortion/artifacts."
},
{
"id": 0,
"label": "Folder",
"localized": "Directory Node",
"reload": "",
"hint": "Designates an indexed file system container for asset retrieval."
},
{
"id": 0,
"label": "FramePack",
"localized": "Temporal Sequence Bundle",
"reload": "",
"hint": "Encapsulates multiple temporal frames into a synchronized data stream package."
},
{
"id": 0,
"label": "Frames",
"localized": "Temporal Discrete Samples",
"reload": "",
"hint": "Defines the frequency of discrete visual states within a temporal timeline."
},
{
"id": 0,
"label": "Fallback guidance",
"localized": "Recursive Safety Vector",
"reload": "",
"hint": "Defines secondary steering parameters if primary guidance heuristics fail to converge."
},
{
"id": 0,
"label": "FreeU",
"localized": "Feature Redistribution Unit",
"reload": "",
"hint": "Amplifies architectural backbone feature maps for enhanced structural coherence without retraining."
},
{
"id": 0,
"label": "Faster Cache",
"localized": "Accelerated Latent Memory Buffer",
"reload": "",
"hint": "Optimizes computational throughput via aggressive caching of repetitive tensor operations."
},
{
"id": 0,
"label": "Folders",
"localized": "Directory Hierarchy Arrays",
"reload": "",
"hint": "Collection of paths utilized for recursive asset ingestion."
},
{
"id": 0,
"label": "Fetch model preview metadata",
"localized": "Synchronize Neural Manifest",
"reload": "",
"hint": "Executes handshake with model registry to retrieve embedded metadata artifacts."
},
{
"id": 0,
"label": "Flow shift",
"localized": "Vector Field Deviation",
"reload": "",
"hint": "Modifies the trajectory vector for flow-matching diffusion manifolds. Governs the sampling density across the denoising interval.<br><br>Values:<br>- >1.0: Biases temporal compute towards initial structural synthesis (Global Coherence)<br>- <1.0: Biases temporal compute towards final-stage refinement (High Frequency Detail)<br>- 1.0: Isotropic scheduling<br><br>Standard flow-matching calibration typically utilizes 3.0. Dynamic shifting protocol overrides this static constraint."
},
{
"id": 0,
"label": "FDG scales",
"localized": "Flow Diffusion Guidance Coefficients",
"reload": "",
"hint": "Weighting factors for the manifold guidance modulation."
},
{
"id": 0,
"label": "FDG weights",
"localized": "Flow Diffusion Tensor Strengths",
"reload": "",
"hint": "Quantifies the influence exerted by the guidance vector per layer."
},
{
"id": 0,
"label": "FDG rescale space",
"localized": "Guidance Manifold Renormalization",
"reload": "",
"hint": "Defines the coordinate system bounds for tensor rescaling operations."
},
{
"id": 0,
"label": "Force HiRes",
"localized": "Enforced High-Fidelity Upsampling",
"reload": "",
"hint": "Overrides standard inference logic to mandate high-resolution latent reconstruction even when standard latent upscaling is bypassed."
},
{
"id": 0,
"label": "FreeU preset",
"localized": "Feature Redistribution Configuration",
"reload": "",
"hint": "Pre-tuned hyperparameter profiles for the feature redistribution module."
},
{
"id": 0,
"label": "FaceID Model",
"localized": "Biometric Identity Encoding Matrix",
"reload": "",
"hint": "The neural weights dedicated to facial feature extraction and identity consistency."
},
{
"id": 0,
"label": "Final strength",
"localized": "Terminal Denoising Magnitude",
"reload": "",
"hint": "The concluding convergence weight applied to the diffusion result."
},
{
"id": 0,
"label": "full",
"localized": "Maximum Precision Path",
"reload": "",
"hint": "Enforces 32-bit floating point arithmetic (FP32) for the entire computation graph."
},
{
"id": 0,
"label": "Fall-off exponent (lower=higher detail)",
"localized": "Attenuation Gradient (Lower = Higher Detail)",
"reload": "",
"hint": "The logarithmic decay rate governing high-frequency component preservation."
},
{
"id": 0,
"label": "Fill strength",
"localized": "In-Painting Interpolation Bias",
"reload": "",
"hint": "Determines the generative weight applied to masked areas."
},
{
"id": 0,
"label": "Face",
"localized": "Facial Region",
"reload": "",
"hint": "Designates the facial bounding box for processing."
},
{
"id": 0,
"label": "Face confidence",
"localized": "Facial Detection Certainty Index",
"reload": "",
"hint": "The probability threshold for validating facial feature detection."
},
{
"id": 0,
"label": "FP model variant",
"localized": "Flow Projection Schema",
"reload": "",
"hint": "Specifies the architecture configuration for the frame-projection model."
},
{
"id": 0,
"label": "FP resolution",
"localized": "Projection Output Density",
"reload": "",
"hint": "Sets the target tensor resolution for projection output."
},
{
"id": 0,
"label": "FP duration",
"localized": "Temporal Projection Span",
"reload": "",
"hint": "Duration of the projected sequence."
},
{
"id": 0,
"label": "FP target FPS",
"localized": "Projection Frame Synchronization",
"reload": "",
"hint": "Target temporal frequency for the projected video stream."
},
{
"id": 0,
"label": "FP interpolation",
"localized": "Temporal Latent Morphing",
"reload": "",
"hint": "Sets the algorithmic method for inter-frame latent interpolation."
},
{
"id": 0,
"label": "FP init strength",
"localized": "Starting Manifold Bias",
"reload": "",
"hint": "Sets the initial guidance strength for the diffusion process."
},
{
"id": 0,
"label": "FP end strength",
"localized": "Terminal Manifold Bias",
"reload": "",
"hint": "Sets the final guidance strength at process completion."
},
{
"id": 0,
"label": "FP vision strength",
"localized": "Visual Guidance Magnitude",
"reload": "",
"hint": "Adjusts the weight of the vision-based conditional inputs."
},
{
"id": 0,
"label": "FP section prompts",
"localized": "Segmented Prompt Injection",
"reload": "",
"hint": "Applies specific latent prompts to specific sequence segments."
},
{
"id": 0,
"label": "FP latent window size",
"localized": "Temporal Context Kernel",
"reload": "",
"hint": "Defines the sliding window of latents considered for temporal consistency."
},
{
"id": 0,
"label": "FP steps",
"localized": "Diffusion Sampling Iterations",
"reload": "",
"hint": "Total count of denoising iterations for the sequence generation."
},
{
"id": 0,
"label": "FP sampler shift",
"localized": "Sampling Manifold Drift",
"reload": "",
"hint": "Applies a translational offset to the sampling process."
},
{
"id": 0,
"label": "FP CFG scale",
"localized": "Classifier-Free Guidance Coefficient",
"reload": "",
"hint": "Controls the adherence to the conditional prompt during projection."
},
{
"id": 0,
"label": "FP distilled CFG scale",
"localized": "Distilled Guidance Magnitude",
"reload": "",
"hint": "Sets the guidance strength for distilled models."
},
{
"id": 0,
"label": "FP CFG re-scale",
"localized": "Guidance Manifold Renormalization",
"reload": "",
"hint": "Rescales the guidance vector to prevent over-saturation."
},
{
"id": 0,
"label": "FP system prompt",
"localized": "Engine Base Instruction Set",
"reload": "",
"hint": "The fundamental systemic prompt injected into the model."
},
{
"id": 0,
"label": "FP model receipe",
"localized": "Neural Assembly Manifest",
"reload": "",
"hint": "Defines the exact architectural assembly parameters."
},
{
"id": 0,
"label": "FP enable TeaCache",
"localized": "Active Temporal Cache Optimization",
"reload": "",
"hint": "Enables TeaCache temporal caching algorithms to improve generation velocity."
},
{
"id": 0,
"label": "FP use optimized system prompt",
"localized": "Heuristic Instruction Optimization",
"reload": "",
"hint": "Utilizes a pre-compressed and optimized instruction set for faster processing."
},
{
"id": 0,
"label": "FP enable CFGZero",
"localized": "Zero-Latency Guidance Activation",
"reload": "",
"hint": "Activates the CFGZero protocol for minimized guidance overhead."
},
{
"id": 0,
"label": "FP enable Preview",
"localized": "Asynchronous Render Preview",
"reload": "",
"hint": "Initiates real-time latent stream visualization."
},
{
"id": 0,
"label": "FP attention",
"localized": "Attention Mechanism Logic",
"reload": "",
"hint": "Selects the specific attention architecture (e.g., Cross-Attention, Flash)."
},
{
"id": 0,
"label": "FP VAE",
"localized": "Variational Auto-Encoder Integration",
"reload": "",
"hint": "Configures the VAE engine utilized for latent-to-pixel decoding."
},
{
"id": 0,
"label": "FPS",
"localized": "Frames Per Second (Throughput)",
"reload": "",
"hint": "The temporal rendering rate of the generated output."
},
{
"id": 0,
"label": "Foreground threshold",
"localized": "Primary Entity Segmentation Bias",
"reload": "",
"hint": "Determines the sensitivity for primary subject isolation."
},
{
"id": 0,
"label": "Frame change sensitivity",
"localized": "Temporal Delta Threshold",
"reload": "",
"hint": "Sets the tolerance for detecting pixel-space movement between frames."
},
{
"id": 0,
"label": "Filename",
"localized": "Serialization Identifier",
"reload": "",
"hint": "The template for uniquely identifying stored data packets."
},
{
"id": 0,
"label": "Force model eval",
"localized": "Mandatory Inference Execution",
"reload": "",
"hint": "Forces a re-evaluation of model weights against the compute graph."
},
{
"id": 0,
"label": "false",
"localized": "false",
"reload": "",
"hint": "Binary negation state."
},
{
"id": 0,
"label": "Full precision (--no-half-vae)",
"localized": "Full Precision VAE (FP32)",
"reload": "",
"hint": "Forces 32-bit floating point arithmetic in the VAE. Increases VRAM bandwidth and compute time but ensures maximum numerical stability."
},
{
"id": 0,
"label": "FP32",
"localized": "32-bit Floating Precision",
"reload": "",
"hint": "Enables standard IEEE 754 single-precision arithmetic."
},
{
"id": 0,
"label": "FP16",
"localized": "16-bit Floating Precision",
"reload": "",
"hint": "Enables half-precision arithmetic for reduced VRAM footprint and increased velocity."
},
{
"id": 0,
"label": "Force full precision (--no-half)",
"localized": "Forced 32-bit Compute Graph",
"reload": "",
"hint": "Forces the model to operate in full-precision mode, optimizing for quality at the expense of memory efficiency."
},
{
"id": 0,
"label": "Flash",
"localized": "Flash Acceleration Protocol",
"reload": "",
"hint": "Activates high-throughput kernel optimization for attention layers."
},
{
"id": 0,
"label": "Flex attention",
"localized": "Adaptive Attention Kernel",
"reload": "",
"hint": "Allows for dynamic memory management during attention compute phases."
},
{
"id": 0,
"label": "Flash attention",
"localized": "Flash-Attn Kernel Injection",
"reload": "",
"hint": "Implements an IO-aware attention algorithm to drastically reduce VRAM usage during inference. Note: may introduce slight non-deterministic variance in generated results."
},
{
"id": 0,
"label": "Fused projections",
"localized": "Tensor Projection Fusion",
"reload": "",
"hint": "Combines discrete linear projection layers to reduce kernel launch overhead."
},
{
"id": 0,
"label": "FreeU enabled",
"localized": "FreeU Manifold Amplification Active",
"reload": "",
"hint": "Enables the architectural feature redistribution module."
},
{
"id": 0,
"label": "FreeU 1st stage backbone",
"localized": "Backbone Primary Stage",
"reload": "",
"hint": "Modifies the first stage of the backbone neural architecture."
},
{
"id": 0,
"label": "FreeU 2nd stage backbone",
"localized": "Backbone Secondary Stage",
"reload": "",
"hint": "Modifies the secondary stage of the backbone neural architecture."
},
{
"id": 0,
"label": "FreeU 1st stage skip",
"localized": "Primary Stage Skip Residual",
"reload": "",
"hint": "Residual scaling factor for the first stage skip connections."
},
{
"id": 0,
"label": "FreeU 2nd stage skip",
"localized": "Secondary Stage Skip Residual",
"reload": "",
"hint": "Residual scaling factor for the secondary stage skip connections."
},
{
"id": 0,
"label": "FoCa",
"localized": "Focused Calibration Array",
"reload": "",
"hint": "Optimization module for specific latent region focus."
},
{
"id": 0,
"label": "FasterCache cache enabled",
"localized": "Fast-Path Cache Activation",
"reload": "",
"hint": "Activates the rapid latent caching layer."
},
{
"id": 0,
"label": "FasterCache spacial skip range",
"localized": "Spatial Latent Skip Interval",
"reload": "",
"hint": "Defines the range of latent indices subjected to skip optimization."
},
{
"id": 0,
"label": "FasterCache spacial skip start",
"localized": "Spatial Skip Inception",
"reload": "",
"hint": "Starting iteration index for spatial skip logic."
},
{
"id": 0,
"label": "FasterCache spacial skip end",
"localized": "Spatial Skip Termination",
"reload": "",
"hint": "Ending iteration index for spatial skip logic."
},
{
"id": 0,
"label": "FasterCache uncond skip range",
"localized": "Unconditional Skip Interval",
"reload": "",
"hint": "Defines range of skip logic for unconditional model path."
},
{
"id": 0,
"label": "FasterCache uncond skip start",
"localized": "Unconditional Skip Inception",
"reload": "",
"hint": "Starting iteration index for unconditional path skip logic."
},
{
"id": 0,
"label": "FasterCache uncond skip end",
"localized": "Unconditional Skip Termination",
"reload": "",
"hint": "Ending iteration index for unconditional path skip logic."
},
{
"id": 0,
"label": "FasterCache guidance distilled",
"localized": "Distilled Guidance Optimization",
"reload": "",
"hint": "Applies caching specifically to distilled guidance manifolds."
},
{
"id": 0,
"label": "fullgraph",
"localized": "Complete Graph Compilation",
"reload": "",
"hint": "Compiles the entire computation graph for hardware-level optimization."
},
{
"id": 0,
"label": "Folder with stable diffusion models",
"localized": "Stable Diffusion Weight Repository",
"reload": "",
"hint": "Directory container for trained diffusion checkpoint files."
},
{
"id": 0,
"label": "Folder with Huggingface models",
"localized": "HuggingFace Asset Repository",
"reload": "",
"hint": "Directory container for external model downloads."
},
{
"id": 0,
"label": "Folder for Huggingface cache",
"localized": "HuggingFace Cache Partition",
"reload": "",
"hint": "Local buffer for temporary asset storage."
},
{
"id": 0,
"label": "Folder for Tunable ops cache",
"localized": "Kernel Tuning Cache",
"reload": "",
"hint": "Stores optimized performance kernels."
},
{
"id": 0,
"label": "Folder with VAE files",
"localized": "VAE Weight Repository",
"reload": "",
"hint": "Storage path for Variational Auto-Encoder weights."
},
{
"id": 0,
"label": "Folder with UNET files",
"localized": "UNET Architecture Repository",
"reload": "",
"hint": "Storage path for UNET model definitions."
},
{
"id": 0,
"label": "Folder with Text encoder files",
"localized": "Text-Embedding Encoder Repository",
"reload": "",
"hint": "Storage path for CLIP/T5 encoding models."
},
{
"id": 0,
"label": "Folder with LoRA network(s)",
"localized": "LoRA Adaptor Repository",
"reload": "",
"hint": "Storage path for Low-Rank Adaptation weight modules."
},
{
"id": 0,
"label": "File or Folder with user-defined styles",
"localized": "Style Definition Directory",
"reload": "",
"hint": "Collection of prompt style descriptors."
},
{
"id": 0,
"label": "Folder with user-defined wildcards",
"localized": "Wildcard Expansion Directory",
"reload": "",
"hint": "Storage for prompt randomization templates."
},
{
"id": 0,
"label": "Folder with textual inversion embeddings",
"localized": "Embedding Repository",
"reload": "",
"hint": "Storage for custom textual inversion vectors."
},
{
"id": 0,
"label": "Folder with Control models",
"localized": "Control-Net Weight Repository",
"reload": "",
"hint": "Storage path for structural guidance models."
},
{
"id": 0,
"label": "Folder with Yolo models",
"localized": "YOLO Detection Repository",
"reload": "",
"hint": "Storage for object detection weight models."
},
{
"id": 0,
"label": "Folder with ESRGAN models",
"localized": "ESRGAN Upscaler Repository",
"reload": "",
"hint": "Storage for super-resolution inference models."
},
{
"id": 0,
"label": "Folder with BSRGAN models",
"localized": "BSRGAN Upscaler Repository",
"reload": "",
"hint": "Storage for BSRGAN architecture weights."
},
{
"id": 0,
"label": "Folder with RealESRGAN models",
"localized": "Real-ESRGAN Upscaler Repository",
"reload": "",
"hint": "Storage for Real-ESRGAN architecture weights."
},
{
"id": 0,
"label": "Folder with SCUNet models",
"localized": "SCUNet Denoiser Repository",
"reload": "",
"hint": "Storage for SCUNet architecture weights."
},
{
"id": 0,
"label": "Folder with SwinIR models",
"localized": "SwinIR Transformer Repository",
"reload": "",
"hint": "Storage for Swin-transformer reconstruction weights."
},
{
"id": 0,
"label": "Folder with CLIP models",
"localized": "CLIP ViT Repository",
"reload": "",
"hint": "Storage for vision-language linkage model weights."
},
{
"id": 0,
"label": "Folder for disk offload",
"localized": "Virtual Memory Swap Partition",
"reload": "",
"hint": "Directory for offloading excessive VRAM tensors to system memory."
},
{
"id": 0,
"label": "Folder for OpenVINO cache",
"localized": "OpenVINO Runtime Cache",
"reload": "",
"hint": "Cache for compiled OpenVINO model graphs."
},
{
"id": 0,
"label": "Folder for ONNX cached models",
"localized": "ONNX Graph Repository",
"reload": "",
"hint": "Directory for intermediate Open Neural Network Exchange representations."
},
{
"id": 0,
"label": "Folder for ONNX conversion",
"localized": "ONNX Serialization Directory",
"reload": "",
"hint": "Output path for ONNX graph conversion."
},
{
"id": 0,
"label": "Folder with chaiNNer models",
"localized": "chaiNNer Graph Repository",
"reload": "",
"hint": "Storage for chaiNNer processing node definitions."
},
{
"id": 0,
"label": "File format",
"localized": "Serialization Protocol",
"reload": "",
"hint": "The data format (e.g., PNG, WebP) for output image serialization."
},
{
"id": 0,
"label": "Font file",
"localized": "Typography Descriptor",
"reload": "",
"hint": "File path for rendering text metadata overlays."
},
{
"id": 0,
"label": "Font color",
"localized": "Overlay Chromatic Value",
"reload": "",
"hint": "Hexadecimal/RGB vector for textual output."
},
{
"id": 0,
"label": "Folder for text generate",
"localized": "Text Serialization Directory",
"reload": "",
"hint": "Output directory for text generation logs."
},
{
"id": 0,
"label": "Folder for image generate",
"localized": "Pixel Output Directory",
"reload": "",
"hint": "Default repository for generated pixel buffers."
},
{
"id": 0,
"label": "Folder for control generate",
"localized": "Control-Map Output Directory",
"reload": "",
"hint": "Directory for storing auxiliary control map output."
},
{
"id": 0,
"label": "Folder for processed images",
"localized": "Post-Process Repository",
"reload": "",
"hint": "Repository for transformed or refined image assets."
},
{
"id": 0,
"label": "Folder for manually saved images",
"localized": "Manual Serialization Directory",
"reload": "",
"hint": "Primary storage path for user-initiated saves."
},
{
"id": 0,
"label": "Folder for videos",
"localized": "Temporal Sequence Repository",
"reload": "",
"hint": "Directory for video-encoded output streams."
},
{
"id": 0,
"label": "Folder for init images",
"localized": "Initial State Directory",
"reload": "",
"hint": "Storage path for source inputs for img2img operations."
},
{
"id": 0,
"label": "Folder for txt2img grids",
"localized": "T2I Grid Repository",
"reload": "",
"hint": "Path for aggregated thumbnail grids of text-to-image batches."
},
{
"id": 0,
"label": "Folder for img2img grids",
"localized": "I2I Grid Repository",
"reload": "",
"hint": "Path for aggregated thumbnail grids of image-to-image batches."
},
{
"id": 0,
"label": "Folder for control grids",
"localized": "Control Grid Repository",
"reload": "",
"hint": "Path for aggregated control-map preview grids."
},
{
"id": 0,
"label": "Font size",
"localized": "Glyph Scale Factor",
"reload": "",
"hint": "Vertical resolution of text overlays."
},
{
"id": 0,
"label": "Full VAE",
"localized": "High-Precision VAE",
"reload": "",
"hint": "Enforces maximal precision decoding in the Variational Auto-Encoder."
},
{
"id": 0,
"label": "Force offline mode",
"localized": "Air-Gapped Operation",
"reload": "",
"hint": "Disables network connectivity for asset verification."
},
{
"id": 0,
"label": "Fixed UNet precision",
"localized": "Statically Locked UNet Precision",
"reload": "",
"hint": "Forces the UNet architecture to ignore dynamic precision adjustments."
},
{
"id": 0,
"label": "Filename join string",
"localized": "Serialization Concatenator",
"reload": "",
"hint": "Character sequence separating filename components."
},
{
"id": 0,
"label": "Filename word regex",
"localized": "Serialization Regex Parser",
"reload": "",
"hint": "Regular expression for validating string composition in output filenames."
},
{
"id": 0,
"label": "Force zeros for prompts when empty",
"localized": "Null-Prompt Zeroing",
"reload": "",
"hint": "Forces prompt tensor to a zero-vector state if no input provided."
},
{
"id": 0,
"label": "fill",
"localized": "Resampling-Fill",
"reload": "",
"hint": "Re-geometries input to target container dimensions via ambient color padding for out-of-bounds regions."
},
{
"id": 0,
"label": "For image processing do exact number of steps as specified",
"localized": "Stochastic Step Enforcement",
"reload": "",
"hint": "Disables adaptive step-adjustment logic, enforcing strict iteration count."
},
{
"id": 0,
"label": "Folder with LyCORIS network(s)",
"localized": "LyCORIS Adaptor Repository",
"reload": "",
"hint": "Storage path for Low-Rank/LyCORIS weight modules."
},
{
"id": 0,
"label": "Fuse strength",
"localized": "Manifold Fusion Magnitude",
"reload": "",
"hint": "The blend ratio between model layers during weight merging."
},
{
"id": 0,
"label": "FreeInit",
"localized": "Dynamic Latent Initialization",
"reload": "",
"hint": "Re-initiates latent manifold states for structural convergence without full restart."
}
],
"g": [
{
"id": 0,
"label": "Gallery",
"localized": "Visual Data Repository",
"reload": "",
"hint": "Interface node for visual output retrieval and historical batch curation."
},
{
"id": 1,
"label": "GitHub",
"localized": "GitHub",
"reload": "",
"hint": "Remote codebase synchronization and version control integration point."
},
{
"id": 2,
"label": "Guidance",
"localized": "Latent Trajectory Vectoring",
"reload": "",
"hint": "Adjusts the deviation probability coefficient within the high-dimensional embedding space."
},
{
"id": 3,
"label": "GenerateGenerate",
"localized": "Initiate Recursive Synthesis",
"reload": "",
"hint": "Trigger the diffusion manifold processing sequence to collapse probability into bitmap representation."
},
{
"id": 4,
"label": "Generate forever",
"localized": "Infinite Iteration Loop",
"reload": "",
"hint": "Engage continuous processing cycle; will maintain state synthesis until terminated by user override command."
},
{
"id": 5,
"label": "Generate",
"localized": "Execute Render Pipeline",
"reload": "",
"hint": "Trigger the initial state-space transformation."
},
{
"id": 6,
"label": "Get receipe",
"localized": "Extract Configuration Schema",
"reload": "",
"hint": "Acquire the serialized parameter matrix for architecture reconstruction."
},
{
"id": 7,
"label": "GPU Monitor",
"localized": "Compute Hardware Telemetry",
"reload": "",
"hint": "Live diagnostic stream displaying silicon processing throughput and thermal states."
},
{
"id": 8,
"label": "Get Changelog",
"localized": "Retrieve Revision Delta Log",
"reload": "",
"hint": "Synchronize with the update history manifest to view patch notes."
},
{
"id": 9,
"label": "Generic",
"localized": "Universal Protocol",
"reload": "",
"hint": "Standardized fallback parameter set for non-specialized operations."
},
{
"id": 10,
"label": "Google GenAI",
"localized": "Google GenAI",
"reload": "",
"hint": "External API bridge to Google's proprietary latent inference cluster."
},
{
"id": 11,
"label": "Group Offload",
"localized": "Cluster Memory Sharding",
"reload": "",
"hint": "Offload partial model weights into auxiliary memory structures to optimize VRAM throughput."
},
{
"id": 12,
"label": "Grid Options",
"localized": "Tiled Matrix Configuration",
"reload": "",
"hint": "Settings for managing the spatial partitioning and arrangement of generated tiles."
},
{
"id": 13,
"label": "Grids",
"localized": "Tiled Matrices",
"reload": "",
"hint": "Array parameters for arranging multiple diffusion outputs into a single cohesive layout."
},
{
"id": 14,
"label": "Guider",
"localized": "Trajectory Control Logic",
"reload": "",
"hint": "The heuristic sub-module responsible for directing the path of noise-reduction across timesteps."
},
{
"id": 15,
"label": "Guidance scale",
"localized": "CFG Magnitude Factor",
"reload": "",
"hint": "Classifier Free Guidance intensity: determines the vector force of the prompt against the random noise. Lower values favor entropy, higher values reinforce deterministic alignment; optimal convergence at 5-10."
},
{
"id": 16,
"label": "Guidance end",
"localized": "Terminal Guidance Step",
"reload": "",
"hint": "Inject a hard break to cease the influence of CFG and PAG vectors: 1.0 represents full sequence, 0.5 effectively terminates guidance at the midway temporal step."
},
{
"id": 17,
"label": "Guidance rescale",
"localized": "Dynamic Vector Rescaling",
"reload": "",
"hint": "Normalizes the guidance manifold to prevent overflow clipping or hyper-exposed pixel saturation in high-CFG regimes."
},
{
"id": 18,
"label": "Gamma",
"localized": "Tonal Curve Gamma",
"reload": "",
"hint": "Non-linear luminosity recalibration coefficient.<br>Values < 1.0 uplift mid-range luminance while retaining peak intensity.<br>Values > 1.0 compress mid-range luminosity.<br><br>Standard state is 1.0 (no interpolation). This dynamically remaps the tonal histogram rather than applying linear shifts."
},
{
"id": 19,
"label": "Grain",
"localized": "Stochastic Texture Injection",
"reload": "",
"hint": "Synthetically introduces high-frequency pixel artifacts to simulate film granularity.<br>Higher amplitude enhances apparent analog texture.<br><br>Applied as additive Gaussian noise in the final pixel-space stage. Zero disables effect."
},
{
"id": 20,
"label": "Grid margins",
"localized": "Matrix Buffer Padding",
"reload": "",
"hint": "Define the spatial interval between contiguous tiled output blocks."
},
{
"id": 21,
"label": "Grid sections",
"localized": "Matrix Partitioning",
"reload": "",
"hint": "Configuration for regional latent manipulation sub-zones."
},
{
"id": 22,
"label": "Guidance strength",
"localized": "Vector Force Intensity",
"reload": "",
"hint": "The raw power magnitude applied to the guidance trajectory."
},
{
"id": 23,
"label": "Guidance start",
"localized": "Initial Guidance Temporal Step",
"reload": "",
"hint": "Defines the diffusion timestep where the guidance vector commences modulation."
},
{
"id": 24,
"label": "Guidance stop",
"localized": "Terminal Guidance Temporal Step",
"reload": "",
"hint": "Defines the diffusion timestep where the guidance vector terminates modulation."
},
{
"id": 25,
"label": "Gate step",
"localized": "Stochastic Threshold Gate",
"reload": "",
"hint": "Temporal trigger point for conditional processing bypass."
},
{
"id": 26,
"label": "Guess mode",
"localized": "Heuristic Inference Override",
"reload": "",
"hint": "Bypasses the requirement for an explicit prompt vector. Forces the ControlNet encoder to calculate a probabilistic best-fit hypothesis based solely on the input control tensor."
},
{
"id": 27,
"label": "gradient",
"localized": "Gradient Flow",
"reload": "",
"hint": "Linear interpolation parameters for transition state management."
},
{
"id": 28,
"label": "Gamma corrected",
"localized": "Gamma-Adjusted State",
"reload": "",
"hint": "Toggles normalization for luminance-aware transformations."
},
{
"id": 29,
"label": "General threshold",
"localized": "Semantic Classification Barrier",
"reload": "",
"hint": "Probability confidence floor for generic tag assignment (e.g., entity, action, context).<br>Only labels exceeding this float value will be propagated to output.<br>Higher values equate to stricter pruning, lower values expand the label-set."
},
{
"id": 30,
"label": "GPU",
"localized": "GPU",
"reload": "",
"hint": "Selectable hardware accelerator endpoint."
},
{
"id": 31,
"label": "Google cloud use VertexAI endpoints",
"localized": "Google Cloud VertexAI Tunneling",
"reload": "",
"hint": "Route compute requests through managed VertexAI infrastructure instances."
},
{
"id": 32,
"label": "Google cloud API key",
"localized": "Cloud Auth Token",
"reload": "",
"hint": "Security credential key for Google Cloud service handshake."
},
{
"id": 33,
"label": "Google Cloud project ID",
"localized": "Project Identifier String",
"reload": "",
"hint": "Unique UUID corresponding to your Google Cloud environment."
},
{
"id": 34,
"label": "Google Cloud location ID",
"localized": "Geographical Endpoint ID",
"reload": "",
"hint": "Regional server cluster designation for API routing."
},
{
"id": 35,
"label": "group",
"localized": "group",
"reload": "",
"hint": "Logical cluster grouping configuration."
},
{
"id": 36,
"label": "Group size",
"localized": "Cluster Partition Scale",
"reload": "",
"hint": "Quantity of elements per offloading partition."
},
{
"id": 37,
"label": "GC threshold",
"localized": "Garbage Collection Trigger",
"reload": "",
"hint": "Memory occupancy threshold that initiates automatic buffer clearance of unused latent assets."
},
{
"id": 38,
"label": "Grid max rows count",
"localized": "Maximum Matrix Verticality",
"reload": "",
"hint": "Upper constraint on the number of generated rows within a tiled output."
},
{
"id": 39,
"label": "Grid max columns count",
"localized": "Maximum Matrix Horizontality",
"reload": "",
"hint": "Upper constraint on the number of generated columns within a tiled output."
},
{
"id": 40,
"label": "Grid background color",
"localized": "Matrix Canvas Background",
"reload": "",
"hint": "Define the base hex/RGB color value for the grid canvas substrate."
},
{
"id": 41,
"label": "Gallery auto-update on tab change",
"localized": "Auto-Sync Gallery State",
"reload": "",
"hint": "Trigger a refresh on the visual repository when shifting UI focus contexts."
},
{
"id": 42,
"label": "GPU monitor interval",
"localized": "Telemetry Polling Rate",
"reload": "",
"hint": "Temporal frequency for updating hardware diagnostics."
},
{
"id": 43,
"label": "Gallery view columns",
"localized": "Repository Column Index",
"reload": "",
"hint": "Define the number of display channels in the visual repository grid."
},
{
"id": 44,
"label": "Grid image size",
"localized": "Tiled Render Dimension",
"reload": "",
"hint": "Define native resolution for individual elements within the tile grid."
},
{
"id": 45,
"label": "Global",
"localized": "Global",
"reload": "",
"hint": "System-wide parameters affecting all active threads."
}
],
"h": [
{
"id": 0,
"label": "btn_history",
"localized": "Chronological Artifact Registry",
"reload": "n/a",
"hint": "Sequential index of neural-state outputs available for re-instantiation and latent recalibration."
},
{
"id": 0,
"label": "docs_md_btn",
"localized": "Hyper-Text to Markdown Parser",
"reload": "n/a",
"hint": "Transmutes descriptive syntactical documentation nodes into structured modular documentation fragments."
},
{
"id": 0,
"label": "Huggingface",
"localized": "Huggingface Gateway",
"reload": "n/a",
"hint": "Configuration matrix for authorized integration with external model repositories and weights transmission."
},
{
"id": 0,
"label": "HiDream",
"localized": "HiDream Synthesizer",
"reload": "n/a",
"hint": "Access point for the HiDream generative protocol stack."
},
{
"id": 0,
"label": "HyperTile",
"localized": "HyperTile Latent Tiling",
"reload": "n/a",
"hint": "Advanced spatial partitioning algorithm for optimized voxel computation."
},
{
"id": 0,
"label": "HiDiffusion",
"localized": "HiDiffusion Upscale Engine",
"reload": "n/a",
"hint": "HiDiffusion utilizes recursive super-resolution algorithms to manifest high-fidelity pixel matrices, mitigating spatial duplication artifacts and optimizing computational throughput."
},
{
"id": 0,
"label": "Height",
"localized": "Vertical Y-Axis Metric",
"reload": "n/a",
"hint": "Define the absolute pixel-coordinate ceiling for generated synthetic projections."
},
{
"id": 0,
"label": "HiRes steps",
"localized": "High-Resolution Iteration Cycles",
"reload": "n/a",
"hint": "Quantified number of diffusion sampling iterations for upscaling processes. Null or zero triggers synchronous parity with primary pass parameters."
},
{
"id": 0,
"label": "Hue",
"localized": "Chromatic Phase Shift",
"reload": "n/a",
"hint": "Rotates the spectral vectors along the color manifold. Minimal variance induces subtle wavelength shifts, whereas significant values perform a full-spectrum spectral cycle. Ideal for chromatic rebalancing or mitigating unwanted spectral artifacts."
},
{
"id": 0,
"label": "Highlights",
"localized": "Luminance Peak Modulation",
"reload": "n/a",
"hint": "Calibrates the photonic intensity of high-luminance nodes. Positive coefficients amplify peak brightness; negative values suppress luminance saturation. Utilizes Lab-space luminance weighting to decouple shadow-mask fidelity from mid-tone variance."
},
{
"id": 0,
"label": "Highlights tint",
"localized": "Luminance Peak Chromaticity",
"reload": "n/a",
"hint": "Vector-blending color matrix applied to high-intensity pixels for split-toning effects. Interacts with Shadow Chromaticity and Balance vectors to induce cinematic color-grading. Default null-value (white) acts as a passive filter."
},
{
"id": 0,
"label": "HDR range",
"localized": "High Dynamic Range Amplitude",
"reload": "n/a",
"hint": "Dynamic range expansion parameters for luminance exposure latitude."
},
{
"id": 0,
"label": "HQ init latents",
"localized": "High-Fidelity Latent Initialization",
"reload": "n/a",
"hint": "Injects high-precision starting noise distributions for improved initial convergence."
},
{
"id": 0,
"label": "Height after",
"localized": "Post-Processing Vertical Scaling",
"reload": "n/a",
"hint": "Vertical coordinate adjustment post-computational pipeline."
},
{
"id": 0,
"label": "Height mask",
"localized": "Vertical Exclusion Masking",
"reload": "n/a",
"hint": "Spatial constraint vector for vertical coordinate modulation."
},
{
"id": 0,
"label": "Hires use control",
"localized": "Upscale Controlnet Integration",
"reload": "n/a",
"hint": "Enables spatial guidance signals during the high-resolution enhancement phase."
},
{
"id": 0,
"label": "Hands",
"localized": "Manual Extremity Correction",
"reload": "n/a",
"hint": "Specialized heuristic guidance for multi-digit appendage restoration."
},
{
"id": 0,
"label": "High threshold",
"localized": "Edge Detection Upper Bound",
"reload": "n/a",
"hint": "The upper threshold limit for gradient-based structural extraction."
},
{
"id": 0,
"label": "high noise",
"localized": "High-Frequency Noise Injection",
"reload": "n/a",
"hint": "Modulates the intensity of stochastic noise variance in latent space."
},
{
"id": 0,
"label": "Hypertile UNet Enabled",
"localized": "UNet HyperTile Acceleration",
"reload": "n/a",
"hint": "Toggle for adaptive UNet block tiling for computational memory optimization."
},
{
"id": 0,
"label": "Hypertile HiRes pass only",
"localized": "HiRes-Exclusive Tiling",
"reload": "n/a",
"hint": "Limits adaptive tiling protocols solely to the high-resolution generation phase."
},
{
"id": 0,
"label": "Hypertile UNet max tile size",
"localized": "UNet Maximum Partition Density",
"reload": "n/a",
"hint": "Defines the maximal spatial extent of UNet processing segments."
},
{
"id": 0,
"label": "Hypertile UNet min tile size",
"localized": "UNet Minimum Partition Density",
"reload": "n/a",
"hint": "Defines the minimal spatial extent of UNet processing segments."
},
{
"id": 0,
"label": "Hypertile UNet swap size",
"localized": "UNet Memory Swap Allocation",
"reload": "n/a",
"hint": "Sets the buffer threshold for memory-to-disk swapping during UNet processing."
},
{
"id": 0,
"label": "Hypertile UNet depth",
"localized": "UNet Hierarchical Processing Depth",
"reload": "n/a",
"hint": "Configures the recursive decomposition layers for UNet tiling."
},
{
"id": 0,
"label": "Hypertile VAE Enabled",
"localized": "VAE HyperTile Acceleration",
"reload": "n/a",
"hint": "Toggles adaptive tiling protocols for the Variational Autoencoder."
},
{
"id": 0,
"label": "Hypertile VAE tile size",
"localized": "VAE Partition Density",
"reload": "n/a",
"hint": "Specifies the geometric dimension of VAE processing tiles."
},
{
"id": 0,
"label": "Hypertile VAE swap size",
"localized": "VAE Memory Swap Allocation",
"reload": "n/a",
"hint": "Configures buffer limits for VAE-related memory transactions."
},
{
"id": 0,
"label": "HiDiffusion apply RAU-Net",
"localized": "RAU-Net Topology Integration",
"reload": "n/a",
"hint": "Activates the Recursive Attention UNet architectural framework."
},
{
"id": 0,
"label": "HiDiffusion apply MSW-MSA",
"localized": "MSW-MSA Attention Mechanism",
"reload": "n/a",
"hint": "Enables Multi-Scale Windowed Multi-Head Self-Attention layers."
},
{
"id": 0,
"label": "HiDiffusion aggressive at step",
"localized": "Aggressive Diffusion Convergence Step",
"reload": "n/a",
"hint": "Defines the temporal index for intensified diffusion optimization."
},
{
"id": 0,
"label": "HiDiffusion override T1 ratio",
"localized": "T1 Latent Ratio Override",
"reload": "n/a",
"hint": "Forces the T1 latent distribution ratio parameter."
},
{
"id": 0,
"label": "HiDiffusion override T2 ratio",
"localized": "T2 Latent Ratio Override",
"reload": "n/a",
"hint": "Forces the T2 latent distribution ratio parameter."
},
{
"id": 0,
"label": "hidet",
"localized": "hidet",
"reload": "n/a",
"hint": "Compiler optimization backend for tensor arithmetic acceleration."
},
{
"id": 0,
"label": "Hide legacy tabs",
"localized": "Deprecate Legacy Interface Nodes",
"reload": "n/a",
"hint": "Removes obsolete interface modules from the primary navigation array."
},
{
"id": 0,
"label": "Hide input range sliders",
"localized": "Omit Scalar Range Interfaces",
"reload": "n/a",
"hint": "Suppress visual representation of slider-based scalar controls."
},
{
"id": 0,
"label": "Hide params headers",
"localized": "Suppress Parameter Metadata Headers",
"reload": "n/a",
"hint": "Collapses descriptive headers associated with procedural parameter clusters."
},
{
"id": 0,
"label": "histogram",
"localized": "Luminance Histogram Distribution",
"reload": "n/a",
"hint": "Generates a statistical density graph of pixel luminance values."
},
{
"id": 0,
"label": "HuggingFace token",
"localized": "HuggingFace Authorization Credential",
"reload": "n/a",
"hint": "Secure authentication token for repository handshake protocols."
},
{
"id": 0,
"label": "HuggingFace mirror",
"localized": "HuggingFace Repository Mirror",
"reload": "n/a",
"hint": "Alternate latency-optimized endpoint for external data fetching."
},
{
"id": 0,
"label": "HED",
"localized": "HED",
"reload": "n/a",
"hint": "Holistically-Nested Edge detection algorithm for structural feature extraction."
}
],
"i": [
{
"id": 0,
"label": "Images",
"localized": "Visual Synthesis Arrays",
"reload": "",
"hint": "Instantiate visual matrices<br>Unified processing interface<br>Supports Tensor-to-Image (T2I) and Image-to-Image (I2I) protocols<br>With optional neural-guidance parameters"
},
{
"id": 1,
"label": "I2I",
"localized": "Recursive Image Synthesis",
"reload": "",
"hint": "Instantiate recursive image synthesis from existing source data<br>Legacy interface mimicking original trans-dimensional image-to-image algorithmic behavior"
},
{
"id": 2,
"label": "Input",
"localized": "Telemetry Feed",
"reload": "img2img_results_input_mobile",
"hint": "Enable/disable spatial telemetry input streams utilized to calibrate generation vectors"
},
{
"id": 3,
"label": "Image",
"localized": "Spatial Render",
"reload": "",
"hint": "Instantiate render from existing spatial data"
},
{
"id": 4,
"label": "Inpaint",
"localized": "Delta-Patching",
"reload": "",
"hint": "Initiate local variable pixel-stream modification"
},
{
"id": 5,
"label": "Inputs",
"localized": "Telemetry Arrays",
"reload": "control_params_mask",
"hint": "Configuration subroutines governing telemetry source arrays"
},
{
"id": 6,
"label": "Initial",
"localized": "Primordial Resolution",
"reload": "",
"hint": "Initialize spatial grid resolution parameters prior to processing cycle"
},
{
"id": 7,
"label": "Info",
"localized": "System Diagnostics",
"reload": "btn_info",
"hint": "Retrieve terminal diagnostic data streams"
},
{
"id": 8,
"label": "install",
"localized": "Inject",
"reload": "",
"hint": "Execute binary deployment sequence"
},
{
"id": 9,
"label": "Image Options",
"localized": "Render Configuration Parameters",
"reload": "",
"hint": "Define output matrix specifications including container formatting, metadata encoding, and grid orchestration"
},
{
"id": 10,
"label": "Image Paths",
"localized": "Storage Vector Pathing",
"reload": "",
"hint": "Define persistent data directory structures and object-naming syntax"
},
{
"id": 11,
"label": "Image Metadata",
"localized": "Embedded Data Headers",
"reload": "",
"hint": "Configuration for serializing metadata embedded within rendered synthesis results"
},
{
"id": 12,
"label": "IP Adapters",
"localized": "Neural Proxy Adapters",
"reload": "",
"hint": "Auxiliary plugin models that calibrate neural guidance vectors toward targeted visual outcomes"
},
{
"id": 13,
"label": "Input Media",
"localized": "Source Telemetry",
"reload": "",
"hint": "Upload and synchronize source data for recursive generation, delta-patching, or neural guidance processing"
},
{
"id": 14,
"label": "Input Image",
"localized": "Source Matrix",
"reload": "",
"hint": "Primary visual input stream for capture analysis"
},
{
"id": 15,
"label": "IPEX",
"localized": "IPEX Backend",
"reload": "",
"hint": "Intel Performance Extension backend runtime configuration"
},
{
"id": 16,
"label": "Image Gallery",
"localized": "Rendered Asset Repository",
"reload": "",
"hint": "Visual interface for browsing cached generation outputs"
},
{
"id": 17,
"label": "Intermediate Image Saving",
"localized": "Snapshot Caching",
"reload": "",
"hint": "Persistent storage for intermediate render states during processing cycles"
},
{
"id": 18,
"label": "Initial seed",
"localized": "Entropy Nucleus",
"reload": "",
"hint": "Deterministic integer determining the quantum state of the random noise injection. Synchronizing this with identical processing parameters recreates an identical result vector."
},
{
"id": 19,
"label": "Include detections",
"localized": "Incorporate Object-Masking Overlays",
"reload": "",
"hint": "Append original matrix with delineated object-detection spatial zones"
},
{
"id": 20,
"label": "IY model",
"localized": "Infinite-You Model",
"reload": "",
"hint": "Select persistent identity-retention model architecture"
},
{
"id": 21,
"label": "IY scale",
"localized": "Infinite-You Resonance",
"reload": "",
"hint": "Calibrate the influence factor of the identity-retention module"
},
{
"id": 22,
"label": "IY start",
"localized": "Infinite-You Activation Step",
"reload": "",
"hint": "Define temporal step for identity-retention engine engagement"
},
{
"id": 23,
"label": "IY end",
"localized": "Infinite-You Termination Step",
"reload": "",
"hint": "Define temporal step for identity-retention engine disengagement"
},
{
"id": 24,
"label": "Identity guidance",
"localized": "Identity Vector Locking",
"reload": "",
"hint": "Enable persistent facial or structural identity constraint mechanisms"
},
{
"id": 25,
"label": "Iterate seed per line",
"localized": "Cyclical Entropy Progression",
"reload": "",
"hint": "Increment the entropy nucleus value for each sequential text string processed"
},
{
"id": 26,
"label": "Iterations",
"localized": "Temporal Cycles",
"reload": "",
"hint": "Define the quantity of procedural temporal frames to generate"
},
{
"id": 27,
"label": "Interpolate frames",
"localized": "Temporal Interpolation",
"reload": "",
"hint": "Generate transitional frames between keyframes using spatial fluid dynamics"
},
{
"id": 28,
"label": "Include main grid",
"localized": "Render Main Synthesis Grid",
"reload": "",
"hint": "Export primary XY coordinate synthesis matrix"
},
{
"id": 29,
"label": "Include sub grids",
"localized": "Render Sub-Coordinate Grids",
"reload": "",
"hint": "Export secondary XY coordinate synthesis sub-matrices"
},
{
"id": 30,
"label": "Include images",
"localized": "Render Individual Assets",
"reload": "",
"hint": "Export discrete visual assets alongside grid matrices"
},
{
"id": 31,
"label": "invert",
"localized": "Invert",
"reload": "",
"hint": "Perform a bitwise inversion on the mask array"
},
{
"id": 32,
"label": "Init image same as control",
"localized": "Synchronize Control-to-Render Source",
"reload": "",
"hint": "Directly map the control telemetry stream into the recursive image-to-image synthesis pipeline as a transformation baseline."
},
{
"id": 33,
"label": "Inpaint masked only",
"localized": "Isolated Patching",
"reload": "",
"hint": "Restrict processing vectors strictly to masked coordinate zones"
},
{
"id": 34,
"label": "Invert mask",
"localized": "Polarize Selection",
"reload": "",
"hint": "Reverse current selection mask polarity"
},
{
"id": 35,
"label": "IOU",
"localized": "Intersection Over Union Threshold",
"reload": "",
"hint": "Configure spatial overlap sensitivity coefficient"
},
{
"id": 36,
"label": "Init strength",
"localized": "Primordial Injection Density",
"reload": "",
"hint": "Control the coherence strength of the initial source matrix"
},
{
"id": 37,
"label": "Input directory",
"localized": "Telemetry Ingest Node",
"reload": "",
"hint": "Locate the primary storage vector containing raw telemetry data for processing"
},
{
"id": 38,
"label": "Include rating",
"localized": "Tag Sentiment Analysis",
"reload": "",
"hint": "Append content-classification metadata tags (e.g., safe, questionable, explicit) to render output.<br>Useful for autonomous filtering/indexing of generated imagery."
},
{
"id": 39,
"label": "inference-mode",
"localized": "Strict Inference Protocol",
"reload": "",
"hint": "Optimized execution mode; strictly disables gradient calculation pathways to accelerate processing speed and stabilize throughput."
},
{
"id": 40,
"label": "inductor",
"localized": "Inductor Compiler",
"reload": "",
"hint": "Activate PyTorch Inductor graph compilation for hardware-level optimization"
},
{
"id": 41,
"label": "Image quality",
"localized": "Render Fidelity Density",
"reload": "",
"hint": "Configure compression/fidelity constants for exported assets"
},
{
"id": 42,
"label": "Include mask in outputs",
"localized": "Encode Selection Mask",
"reload": "",
"hint": "Bypass mask deletion post-processing; export selection mask as supplemental asset"
},
{
"id": 43,
"label": "Include invisible watermark",
"localized": "Cryptographic Steganography",
"reload": "",
"hint": "Inject invisible steganographic signatures into the pixel matrix via bit-depth modification"
},
{
"id": 44,
"label": "Invisible watermark string",
"localized": "Cryptographic Key",
"reload": "",
"hint": "Define the signature key for steganographic injection. Keep extremely concise to prevent pixel-stream corruption."
},
{
"id": 45,
"label": "Image watermark position",
"localized": "Signature Alignment",
"reload": "",
"hint": "Define spatial coordinates for signature placement"
},
{
"id": 46,
"label": "Image watermark file",
"localized": "External Signature Reference",
"reload": "",
"hint": "Load external asset to serve as steganographic signature foundation"
},
{
"id": 47,
"label": "Images filename pattern",
"localized": "Nomenclature Syntax",
"reload": "",
"hint": "Configure asset naming taxonomy using the following variables:<br><pre>seq, uuid<br>date, datetime, job_timestamp<br>generation_number, batch_number<br>model, model_shortname<br>model_hash, model_name<br>sampler, seed, steps, cfg<br>clip_skip, denoising<br>hasprompt, prompt, styles<br>prompt_hash, prompt_no_styles<br>prompt_spaces, prompt_words<br>height, width, image_hash<br></pre>"
},
{
"id": 48,
"label": "inline",
"localized": "Linear Arrangement",
"reload": "",
"hint": "Linear UI alignment with all secondary element arrays (scrolling enabled)"
},
{
"id": 49,
"label": "Inpainting include greyscale mask in results",
"localized": "Export Greyscale Mask",
"reload": "",
"hint": "Embed mask-map overlay as a greyscale auxiliary output stream"
},
{
"id": 50,
"label": "Inpainting include masked composite in results",
"localized": "Export Composite Overlay",
"reload": "",
"hint": "Embed synthesized composite visual in the output results stream"
},
{
"id": 51,
"label": "Image transparent color fill",
"localized": "Alpha Channel Null-Filler",
"reload": "",
"hint": "Define chromatic replacement for null alpha-channel voids"
},
{
"id": 52,
"label": "Inpainting conditioning mask strength",
"localized": "Conditioning Bias Constant",
"reload": "",
"hint": "Modulates mask influence during recursive patching. 1.0 = Full opacity constraint (default). 0.0 = Null conditioning constraint. Reduced constants assist in maintaining composition integrity, but may diminish drastic modification efficiency."
},
{
"id": 53,
"label": "Image resize algorithm",
"localized": "Interpolation Vector Algorithm",
"reload": "",
"hint": "Select mathematical scaling algorithm for spatial resizing"
},
{
"id": 54,
"label": "Image repeats per epoch",
"localized": "Epoch Cycle Multiplier",
"reload": "",
"hint": "Frequency count for iteration cycles within each epoch"
},
{
"id": 55,
"label": "Interpolation Method",
"localized": "Spatial Interpolation Protocol",
"reload": "",
"hint": "Select weighting logic for matrix merging"
},
{
"id": 56,
"label": "In Blocks",
"localized": "Internal Block Indexing",
"reload": "",
"hint": "Downsampling indices for UNet architecture (12 nodes for SD1.5, 9 nodes for SDXL)"
},
{
"id": 57,
"label": "Input model",
"localized": "Primary Model Node",
"reload": "",
"hint": "Designate the primary neural model architecture"
},
{
"id": 58,
"label": "Info object",
"localized": "Diagnostic Entity",
"reload": "",
"hint": "Retrieve instantiated data object diagnostics"
}
],
"k": [
{
"id": 0,
"label": "Kanvas change",
"localized": "Quantum Flux Re-Calibration",
"reload": "false",
"hint": "Re-initialize the spatial dimensions of the virtual workspace via flux-displacement vectors."
},
{
"id": 1,
"label": "Kolors",
"localized": "Chromatic Spectrum Array",
"reload": "false",
"hint": "Adjust the multi-dimensional color parity matrix to align with latent space parameters."
},
{
"id": 2,
"label": "Kanvas Settings",
"localized": "Kanvas Configuration Topology",
"reload": "false",
"hint": "Modify the base-layer architecture and grid-stabilization protocols."
},
{
"id": 3,
"label": "Keep Thinking Trace",
"localized": "Retain Cognitive Resonance Logs",
"reload": "false",
"hint": "Embed the heuristic decision-tree snapshots directly into the output stream for post-process neural analysis. Essential for decrypting the model's non-linear logic pathways. Active only in Recursive Thought-Capable models."
},
{
"id": 4,
"label": "Keep Prefill",
"localized": "Retain Seed-Sequence Integrity",
"reload": "false",
"hint": "Preserve the initial prompt-injection markers within the resultant data cluster. Disabling this initiates a sanitization sequence, stripping the model's guidance vector from the finalized output."
},
{
"id": 5,
"label": "Keep aspect ratio",
"localized": "Maintain Geometric Ratio Lock",
"reload": "false",
"hint": "Enforce a fixed spatial relationship between the x-axis and y-axis to prevent tensor distortion."
}
],
"l": [
{
"id": 1,
"label": "Load model",
"localized": "Initialize Model Matrix",
"reload": "",
"hint": "Initiate the loading sequence for the primary diffusion neural weights."
},
{
"id": 2,
"label": "Load custom model",
"localized": "Inject Custom Model Data",
"reload": "",
"hint": "Inject a non-standardized model core with the specific hyper-parameter configuration array."
},
{
"id": 3,
"label": "LaMa Remove",
"localized": "LaMa Object Deletion",
"reload": "",
"hint": "Execute the LaMa (Resolution-robust Large Mask Inpainting) algorithm to excise anomalous data signatures."
},
{
"id": 4,
"label": "Lite",
"localized": "Lite",
"reload": "",
"hint": "Activate lightweight heuristic processing mode for optimized throughput."
},
{
"id": 5,
"label": "LTXVideo",
"localized": "LTX-Video Synthesis",
"reload": "",
"hint": "Engage the LTX high-fidelity temporal video generation framework."
},
{
"id": 6,
"label": "Load",
"localized": "Load",
"reload": "",
"hint": "Initialize data stream."
},
{
"id": 7,
"label": "Live Previews",
"localized": "Real-time Telemetry Previews",
"reload": "",
"hint": "Configure parameters for live-stream telemetry and auditory notification vectors."
},
{
"id": 8,
"label": "Legacy options",
"localized": "Obsolete System Parameters",
"reload": "",
"hint": "Access deprecated legacy control protocols; usage is highly discouraged due to stability risks."
},
{
"id": 9,
"label": "List",
"localized": "Directory Listing",
"reload": "",
"hint": "Enumerate the full manifest of currently accessible model modules."
},
{
"id": 10,
"label": "Loader",
"localized": "Assembly Module",
"reload": "",
"hint": "Provides an interface to construct a unified diffusion model by splicing disparate algorithmic components."
},
{
"id": 11,
"label": "List models",
"localized": "Enumerate Model Nodes",
"reload": "",
"hint": "Perform a recursive directory scan of available model assets."
},
{
"id": 12,
"label": "Load receipe",
"localized": "Load Configuration Manifest",
"reload": "",
"hint": "Ingest a pre-defined architectural recipe for complex model composition."
},
{
"id": 13,
"label": "Lora",
"localized": "LoRA Injector",
"reload": "",
"hint": "LoRA (Low-Rank Adaptation): A modular, fine-tuned sub-network architecture overlaid onto the primary latent model."
},
{
"id": 14,
"label": "Local",
"localized": "Local Storage Assets",
"reload": "",
"hint": "Access models pre-cached within the local storage environment for immediate deployment."
},
{
"id": 15,
"label": "LTX",
"localized": "LTX",
"reload": "",
"hint": "Interface for Latent Temporal X-stream (LTX) protocols."
},
{
"id": 16,
"label": "Latent Corrections",
"localized": "Latent Manifold Correction",
"reload": "",
"hint": "Invoke algorithmic post-processing to rectify drift within the latent representation space."
},
{
"id": 17,
"label": "Layerwise Casting",
"localized": "Layer-specific Precision Casting",
"reload": "",
"hint": "Optimize memory throughput via selective precision casting across network layers."
},
{
"id": 18,
"label": "LinFusion",
"localized": "LinFusion Protocol",
"reload": "",
"hint": "Enable the LinFusion linearized attention approximation mechanism."
},
{
"id": 19,
"label": "Log Display",
"localized": "System Event Log",
"reload": "",
"hint": "Visualizer for kernel-level operational event tracking."
},
{
"id": 20,
"label": "List all locally available models",
"localized": "Manifest Local Node Repository",
"reload": "",
"hint": "Query the local file system for all validated diffusion model binaries."
},
{
"id": 21,
"label": "Last Generate",
"localized": "Final Generation Cache",
"reload": "",
"hint": "Retrieve the output matrix from the most recent compute cycle."
},
{
"id": 22,
"label": "LUT",
"localized": "LUT Color Matrix",
"reload": "",
"hint": "Look-Up Table (LUT) chromatic remapping module. Upload a .cube transform file to recalibrate output colorimetry. LUTs apply 3D transformation matrices for standardized chromatic styling."
},
{
"id": 23,
"label": "low order",
"localized": "Low-Order Approximation",
"reload": "",
"hint": "Constrain computational processes to a reduced-order operational complexity."
},
{
"id": 24,
"label": "LSC layer indices",
"localized": "LSC Layer Vector Index",
"reload": "",
"hint": "Specify the indices for Latent Space Control (LSC) layer engagement."
},
{
"id": 25,
"label": "LSC fully qualified name",
"localized": "LSC Absolute Identifier",
"reload": "",
"hint": "Define the absolute, unique URI identifier for the target LSC node."
},
{
"id": 26,
"label": "LSC skip attention blocks",
"localized": "LSC Bypass Attention Nodes",
"reload": "",
"hint": "Nullify the attention mechanism computation for specified LSC block segments."
},
{
"id": 27,
"label": "LSC skip feed-forward blocks",
"localized": "LSC Bypass Feed-Forward Nodes",
"reload": "",
"hint": "Nullify the feed-forward neural processing for specified LSC block segments."
},
{
"id": 28,
"label": "LSC skip attention scores",
"localized": "LSC Discard Attention Matrices",
"reload": "",
"hint": "Suppress the generation of attention scoring matrices within the LSC module."
},
{
"id": 29,
"label": "LSC dropout rate",
"localized": "LSC Entropy Injection Rate",
"reload": "",
"hint": "Calibrate the stochastic dropout coefficient for LSC regularization."
},
{
"id": 30,
"label": "LUT strength",
"localized": "LUT Transform Amplitude",
"reload": "",
"hint": "Modulate the intensity coefficient of the active LUT transform. 1.0 represents nominal gain; values < 1.0 attenuate toward the raw source, while > 1.0 amplify spectral saturation."
},
{
"id": 31,
"label": "Latent brightness",
"localized": "Latent Luminosity Gain",
"reload": "",
"hint": "Manipulate signal luminance amplitude directly within the latent manifold."
},
{
"id": 32,
"label": "Latent sharpen",
"localized": "Latent Spatial Kernel Sharpen",
"reload": "",
"hint": "Apply high-pass spatial filtering directly to latent data tensors."
},
{
"id": 33,
"label": "Latent color",
"localized": "Latent Chromatic Balance",
"reload": "",
"hint": "Adjust the RGB spectral variance within the latent space."
},
{
"id": 34,
"label": "Latent clamp",
"localized": "Latent Tensor Bounding",
"reload": "",
"hint": "Apply a sigmoid-based bounding constraint to prune outliers from the Gaussian distribution. Useful for normalizing high-guidance artifacts by strictly clipping values outside the designated boundary-threshold vector."
},
{
"id": 35,
"label": "Latent range",
"localized": "Latent Scalar Range",
"reload": "",
"hint": "Initialize the scalar boundary constraints for latent tensor values."
},
{
"id": 36,
"label": "Latent threshold",
"localized": "Latent Cutoff Threshold",
"reload": "",
"hint": "Define the activation cutoff coefficient for latent clamping."
},
{
"id": 37,
"label": "Latent maximize",
"localized": "Latent Dynamic Range Max",
"reload": "",
"hint": "Normalize latent tensor output by computing the peak value ratio against a 4x boundary multiplier. Maximizes signal range for downstream post-processing pipelines."
},
{
"id": 38,
"label": "Latent center",
"localized": "Latent Distribution Median",
"reload": "",
"hint": "Recenter the latent distribution centroid during the tensor unfolding process."
},
{
"id": 39,
"label": "Latent max range",
"localized": "Latent Maximum Bounds",
"reload": "",
"hint": "Set the absolute maximum ceiling for latent tensor amplitude."
},
{
"id": 40,
"label": "Latent tint",
"localized": "Latent Chromatic Tint",
"reload": "",
"hint": "Inject a color-bias vector into the latent noise manifold."
},
{
"id": 41,
"label": "Layer options",
"localized": "Advanced Layer Parameters",
"reload": "",
"hint": "Manually reconfigure hyperparameters for the IP-Adapter multi-layer interface."
},
{
"id": 42,
"label": "Layer scales",
"localized": "Layer Scaling Coefficients",
"reload": "",
"hint": "Adjust the gain factor per individual model layer."
},
{
"id": 43,
"label": "Length",
"localized": "Temporal Vector Length",
"reload": "",
"hint": "Define the sequence length for generative vector extension."
},
{
"id": 44,
"label": "Loops",
"localized": "Iterative Recursion Cycles",
"reload": "",
"hint": "Define the recursive depth for image re-processing. The output of cycle N acts as the primary input for cycle N+1. Setting to 1 yields standard linear processing."
},
{
"id": 45,
"label": "Level",
"localized": "Operational Level",
"reload": "",
"hint": "Set the hierarchy depth for style-aligned feature extraction."
},
{
"id": 46,
"label": "Latent mode",
"localized": "Latent Synthesis Protocol",
"reload": "",
"hint": "Enable/disable direct latent-space temporal processing."
},
{
"id": 47,
"label": "Loop video",
"localized": "Video Loopback Synthesis",
"reload": "",
"hint": "Enable cyclic video sequence processing."
},
{
"id": 48,
"label": "LLM model",
"localized": "LLM Inference Engine",
"reload": "",
"hint": "Designate the Large Language Model for semantic prompt expansion. Vision-capable engines are tagged with ; engines capable of recursive reasoning are tagged with ."
},
{
"id": 49,
"label": "LBM Method",
"localized": "LBM Synthesis Algorithm",
"reload": "",
"hint": "Select the Latent Blend Matrix (LBM) computational method."
},
{
"id": 50,
"label": "LBM Composite",
"localized": "LBM Composite Mixer",
"reload": "",
"hint": "Configure blending ratios for LBM tensor composition."
},
{
"id": 51,
"label": "LBM Steps",
"localized": "LBM Sampling Iterations",
"reload": "",
"hint": "Define the total sampling steps for the LBM sub-routine."
},
{
"id": 52,
"label": "left",
"localized": "Left Vector",
"reload": "",
"hint": "Spatial orientation axis: Left."
},
{
"id": 53,
"label": "Live update",
"localized": "Live Telemetry Update",
"reload": "",
"hint": "Synchronize display feedback in real-time."
},
{
"id": 54,
"label": "Low threshold",
"localized": "Minimum Activation Threshold",
"reload": "",
"hint": "Set the lower-bound floor for feature detection."
},
{
"id": 55,
"label": "Large",
"localized": "Large Scale Format",
"reload": "",
"hint": "Engage high-resolution scaling profile."
},
{
"id": 56,
"label": "LTX model",
"localized": "LTX Neural Core",
"reload": "",
"hint": "Select the target LTX inference neural network."
},
{
"id": 57,
"label": "LTX frames number",
"localized": "LTX Temporal Frame Count",
"reload": "",
"hint": "Define the total number of frames in the LTX sequence buffer."
},
{
"id": 58,
"label": "LTX frames skip",
"localized": "LTX Temporal Stride Skip",
"reload": "",
"hint": "Define the temporal sampling interval (skip rate) for LTX processing."
},
{
"id": 59,
"label": "LTX enable upsampling",
"localized": "Enable LTX Super-Resolution",
"reload": "",
"hint": "Activate neural upscaling to boost frame resolution."
},
{
"id": 60,
"label": "LTX upsample ratio",
"localized": "LTX Scaling Factor",
"reload": "",
"hint": "Set the multiplier coefficient for frame super-resolution."
},
{
"id": 61,
"label": "LTX enable refine",
"localized": "Enable LTX Refinement",
"reload": "",
"hint": "Engage second-pass sharpening for temporal coherency."
},
{
"id": 62,
"label": "LTX refine strength",
"localized": "LTX Refinement Intensity",
"reload": "",
"hint": "Adjust the corrective force of the LTX refinement pass."
},
{
"id": 63,
"label": "LTX decode timestep",
"localized": "LTX Decoder Epoch",
"reload": "",
"hint": "Set the VAE decoding timestep for LTX latent streams."
},
{
"id": 64,
"label": "LTX enable audio",
"localized": "Enable LTX Audio Layer",
"reload": "",
"hint": "Engage synchronized audio synthesis protocols."
},
{
"id": 65,
"label": "Loop",
"localized": "Cyclic Iteration",
"reload": "",
"hint": "Enable infinite feedback loop processing."
},
{
"id": 66,
"label": "Local directory name",
"localized": "Local Root Identifier",
"reload": "",
"hint": "Designate the file system path for extension deployment. Null value defaults to root repository."
},
{
"id": 67,
"label": "Libs",
"localized": "Library Dependencies",
"reload": "",
"hint": "Manage external library dependency pointers."
},
{
"id": 68,
"label": "Latent history size",
"localized": "Latent Buffer Depth",
"reload": "",
"hint": "Define the number of latent states retained in the history queue."
},
{
"id": 69,
"label": "LLama repo",
"localized": "LLaMA Repository Link",
"reload": "",
"hint": "Source URI for the LLaMA model architecture repository."
},
{
"id": 70,
"label": "low noise",
"localized": "Low-Entropy Noise Floor",
"reload": "",
"hint": "Reduce the initial variance coefficient of the latent noise seed."
},
{
"id": 71,
"label": "Load caption models direct to GPU",
"localized": "Direct GPU VRAM Loading",
"reload": "",
"hint": "Bypass host RAM; load captioning models directly into the GPU VRAM array."
},
{
"id": 72,
"label": "leaf_level",
"localized": "Tree Branching Level",
"reload": "",
"hint": "Define the terminal recursion depth (Leaf Level) for the offloading algorithm."
},
{
"id": 73,
"label": "LLM",
"localized": "Large Language Model",
"reload": "",
"hint": "Language inference core."
},
{
"id": 74,
"label": "Layerwise casting storage",
"localized": "Layerwise Cache Repository",
"reload": "",
"hint": "Target directory for persistent storage of quantized layer weights."
},
{
"id": 75,
"label": "Layerwise non-blocking operations",
"localized": "Asynchronous Layer Execution",
"reload": "",
"hint": "Enable non-blocking, parallelized execution across neural layer clusters."
},
{
"id": 76,
"label": "Lumina: Use mask in transformers",
"localized": "Lumina Transformer Masking",
"reload": "",
"hint": "Enable attention-masking logic within the Lumina transformer core."
},
{
"id": 77,
"label": "Listen on all interfaces",
"localized": "Bind Network Interfaces",
"reload": "",
"hint": "Bind the web-service listener to all active network hardware interfaces."
},
{
"id": 78,
"label": "LinFusion apply distillation on load",
"localized": "LinFusion Distillation Trigger",
"reload": "",
"hint": "Execute model distillation during the initialization loading phase."
},
{
"id": 79,
"label": "Light",
"localized": "Light",
"reload": "",
"hint": "Activate light-theme UI visualization."
},
{
"id": 80,
"label": "Log view update period",
"localized": "Telemetry Log Refresh Rate",
"reload": "",
"hint": "Set the interval (in milliseconds) for log data telemetry refreshes."
},
{
"id": 81,
"label": "Live preview display period",
"localized": "Preview Telemetry Frequency",
"reload": "",
"hint": "Request a visualization frame every N steps; set to 0 to disable throughput."
},
{
"id": 82,
"label": "Load custom Diffusers pipeline",
"localized": "Inject Diffusers Pipeline",
"reload": "",
"hint": "Initialize a non-standard Diffusers pipeline manifest."
},
{
"id": 83,
"label": "LoRA force reload always",
"localized": "Force LoRA Refresh",
"reload": "",
"hint": "Flush memory cache; force re-ingestion of LoRA networks from storage on every iteration. Essential for dynamic development; disable for stable high-performance cycles."
},
{
"id": 84,
"label": "LoRA load using Diffusers method",
"localized": "Invoke Diffusers Native Loader",
"reload": "",
"hint": "Utilize built-in Diffusers loading protocols rather than the native SD.Next implementation. May impact cross-compatibility."
},
{
"id": 85,
"label": "LoRA native apply to text encoder",
"localized": "Native LoRA Text-Encoder Binding",
"reload": "",
"hint": "Enable direct patching of LoRA weights onto the Text Encoder transformer stack."
},
{
"id": 86,
"label": "LoRA native fuse with model",
"localized": "Native LoRA Fusion Merge",
"reload": "",
"hint": "Merge LoRA weights into the primary model matrix for optimal VRAM latency. Warning: Residual LoRA signatures may persist post-removal. Perform model reload to cleanse state."
},
{
"id": 87,
"label": "LoRA diffusers fuse with model",
"localized": "Diffusers LoRA Fusion Merge",
"reload": "",
"hint": "Merge LoRA via Diffusers framework for torch.compile synchronization. Warning: Residual LoRA signatures may persist post-removal. Perform model reload to cleanse state."
},
{
"id": 88,
"label": "LoRA auto-apply tags",
"localized": "LoRA Metadata Tag Injection",
"reload": "",
"hint": "Automatically parse trigger tokens from LoRA manifest. Set value to N to extract the top N tags, -1 for full extraction, 0 to disable."
},
{
"id": 89,
"label": "LoRA memory cache",
"localized": "LoRA Transient Memory Buffer",
"reload": "",
"hint": "Define the volume of LoRA networks held in hot-cache before secondary reload is triggered."
},
{
"id": 90,
"label": "LoRA add hash info to metadata",
"localized": "Inject LoRA Hash Checksum",
"reload": "",
"hint": "Append binary hash checksums to generated image EXIF/metadata for lineage tracking."
},
{
"id": 91,
"label": "LDSR Path",
"localized": "LDSR Directory Path",
"reload": "",
"hint": "Define the file path for LDSR (Latent Diffusion Super Resolution) binaries."
},
{
"id": 92,
"label": "LoRA load using legacy method",
"localized": "Legacy LoRA Loading Protocol",
"reload": "",
"hint": "Fallback to deprecated LoRA loading logic."
},
{
"id": 93,
"label": "Loaded LoRA",
"localized": "Active LoRA Nodes",
"reload": "",
"hint": "Registry of currently active, memory-loaded LoRA adapters."
},
{
"id": 94,
"label": "LoRA target filename",
"localized": "LoRA Target Path",
"reload": "",
"hint": "File system reference for the target LoRA network."
},
{
"id": 95,
"label": "Layer skip guidance",
"localized": "Layer Skip Heuristic",
"reload": "",
"hint": "Apply navigational bias to the layer-skipping algorithm."
},
{
"id": 96,
"label": "LineArt",
"localized": "LineArt Feature Extraction",
"reload": "",
"hint": "Activate LineArt structural contour mapping."
},
{
"id": 97,
"label": "Leres Depth",
"localized": "Leres Depth Mapping",
"reload": "",
"hint": "Activate LeReS (Learning-based Relative Depth) estimation module."
}
],
"m": [
{
"id": 0,
"label": "Mask",
"localized": "Spatial Occlusion Filter",
"reload": "",
"hint": "Image spatial occlusion and filtering configuration parameters."
},
{
"id": 1,
"label": "Models",
"localized": "Neural Weight Arrays",
"reload": "",
"hint": "Ingest, transcode, or fuse your neural weight arrays and manage heuristic metadata."
},
{
"id": 2,
"label": "Manage extensions",
"localized": "Plugin Lifecycle Orchestration",
"reload": "",
"hint": ""
},
{
"id": 3,
"label": "Manual install",
"localized": "User-Initiated Deployment",
"reload": "",
"hint": "Manually initiate plugin deployment."
},
{
"id": 4,
"label": "Models & Networks",
"localized": "Weight Arrays & Topology Graphs",
"reload": "",
"hint": "Enumerate available neural weight arrays and computational topology graphs."
},
{
"id": 5,
"label": "Model Loading",
"localized": "Weight Array Ingestion",
"reload": "",
"hint": "Configuration for memory-mapping and buffering of neural weight arrays."
},
{
"id": 6,
"label": "Model Options",
"localized": "Neural Parameter Tuning",
"reload": "",
"hint": "Configuration for fine-tuning the operational behavior of specific neural weight arrays."
},
{
"id": 7,
"label": "Model Offloading",
"localized": "VRAM Cache Eviction",
"reload": "",
"hint": "Configuration for VRAM cache eviction and memory-management heuristics."
},
{
"id": 8,
"label": "Model Quantization",
"localized": "Bit-Depth Compression",
"reload": "",
"hint": "Configuration for bit-depth compression, utilized to optimize VRAM footprint."
},
{
"id": 9,
"label": "Model Compile",
"localized": "Kernel JIT Compilation",
"reload": "",
"hint": "Configuration for diverse Just-In-Time (JIT) kernel compilation protocols."
},
{
"id": 10,
"label": "Metadata",
"localized": "Heuristic Data-Tags",
"reload": "",
"hint": "Synchronize heuristic data-tags for all indexed neural weight arrays."
},
{
"id": 11,
"label": "Merge",
"localized": "Weight Fusion",
"reload": "",
"hint": "Execute mathematical fusion of dual or poly-neural weight arrays into a novel manifold."
},
{
"id": 12,
"label": "Manual Block Merge",
"localized": "Granular Layer-Weight Fusion",
"reload": "",
"hint": ""
},
{
"id": 13,
"label": "Merge Modules",
"localized": "Sub-Component Fusion",
"reload": "",
"hint": ""
},
{
"id": 14,
"label": "Model",
"localized": "Base Manifold",
"reload": "",
"hint": "Baseline neural manifold."
},
{
"id": 15,
"label": "Model metadata",
"localized": "Manifold Telemetry",
"reload": "",
"hint": ""
},
{
"id": 16,
"label": "ModernUI",
"localized": "Neomorphic Interface Engine",
"reload": "",
"hint": ""
},
{
"id": 17,
"label": "Modular Pipelines",
"localized": "Asynchronous Processing Gates",
"reload": "",
"hint": ""
},
{
"id": 18,
"label": "Models Paths",
"localized": "Weight Array Storage Vectors",
"reload": "",
"hint": ""
},
{
"id": 19,
"label": "Mobile",
"localized": "Handheld UI Optimization",
"reload": "",
"hint": ""
},
{
"id": 20,
"label": "Merge multiple models",
"localized": "Poly-manifold Fusion",
"reload": "",
"hint": ""
},
{
"id": 21,
"label": "Max shift",
"localized": "Peak Latent Displacement",
"reload": "",
"hint": "Maximum displacement scalar for high-resolution kernels when leveraging dynamic shifting logic."
},
{
"id": 22,
"label": "Merge detailers",
"localized": "Detail-Feature Aggregation",
"reload": "",
"hint": "Synthesize results from poly-detailer loops into a singular occluding mask prior to refining iterations."
},
{
"id": 23,
"label": "Max detected",
"localized": "Ceiling of Feature Detection",
"reload": "",
"hint": "Maximum count of detectable entities permitted for detailer loop processing."
},
{
"id": 24,
"label": "Min confidence",
"localized": "Minimum Probability Threshold",
"reload": "",
"hint": "Minimum confidence scalar for validated detected entities."
},
{
"id": 25,
"label": "Max overlap",
"localized": "Spatial Intersection Threshold",
"reload": "",
"hint": "Maximum spatial intersection between dual detected entities before pruning occurs."
},
{
"id": 26,
"label": "Min size",
"localized": "Minimum Spatial Footprint",
"reload": "",
"hint": "Minimum detectable spatial footprint as a normalized percentage of the total frame."
},
{
"id": 27,
"label": "Max size",
"localized": "Maximum Spatial Footprint",
"reload": "",
"hint": "Maximum detectable spatial footprint as a normalized percentage of the total frame."
},
{
"id": 28,
"label": "Midtones",
"localized": "Luminance Mid-Range Bias",
"reload": "",
"hint": "Calibrates luminance intensity within the median range.<br>Positive values elevate mid-range brightness; negative values attenuate luminance.<br><br>Targeting pixel values proximal to the median luminance using a Gaussian mask in CIELAB space, isolating shadows and highlights from iterative modulation."
},
{
"id": 29,
"label": "Momentum",
"localized": "Kinetic Persistence",
"reload": "",
"hint": ""
},
{
"id": 30,
"label": "Mode x-axis",
"localized": "X-Vector Modulation",
"reload": "",
"hint": ""
},
{
"id": 31,
"label": "Mode y-axis",
"localized": "Y-Vector Modulation",
"reload": "",
"hint": ""
},
{
"id": 32,
"label": "Mask Dropout",
"localized": "Occlusion Entropy Injection",
"reload": "",
"hint": ""
},
{
"id": 33,
"label": "Multi decoder",
"localized": "Poly-Decoder Array",
"reload": "",
"hint": ""
},
{
"id": 34,
"label": "Mode",
"localized": "Semantic Analysis Heuristic",
"reload": "",
"hint": "Interrogation heuristics.<br><b>Fast</b>: Rapid captioning, ignoring linguistic flavor.<br><b>Classic</b>: Balanced semantic fidelity vs. processing velocity.<br><b>Best</b>: Comprehensive vector analysis, high-latency, peak fidelity.<br><b>Negative</b>: Generating antithetical prompt tokens."
},
{
"id": 35,
"label": "Method",
"localized": "Operational Protocol",
"reload": "",
"hint": ""
},
{
"id": 36,
"label": "Model repo",
"localized": "HuggingFace Manifold URI",
"reload": "",
"hint": "HuggingFace repository identifier for the manifold"
},
{
"id": 37,
"label": "Model gguf",
"localized": "GGUF Quantized Manifold",
"reload": "",
"hint": "Ancillary GGUF-encoded quantized manifold URI on HuggingFace"
},
{
"id": 38,
"label": "Model type",
"localized": "Manifold Quantization Variant",
"reload": "",
"hint": "Ancillary GGUF manifold bit-depth compression variant"
},
{
"id": 39,
"label": "Model file",
"localized": "Specific Weight-Vector File",
"reload": "",
"hint": "Ancillary specific GGUF manifold binary within the repository"
},
{
"id": 40,
"label": "Max tokens",
"localized": "Linguistic Token Ceiling",
"reload": "",
"hint": "Maximum lexical token generation limit.<br>The system remains oblivious to this constraint during generation; it doesn't optimize for conciseness or verbosity, it simply dictates a hard-coded termination point for the output stream."
},
{
"id": 41,
"label": "masked",
"localized": "Occluded-State",
"reload": "",
"hint": ""
},
{
"id": 42,
"label": "Mask invert",
"localized": "Occlusion Polarity Inversion",
"reload": "",
"hint": ""
},
{
"id": 43,
"label": "Mask strength",
"localized": "Occlusion Opacity Scalar",
"reload": "",
"hint": ""
},
{
"id": 44,
"label": "Multistep restore",
"localized": "Recursive Fidelity Restoration",
"reload": "",
"hint": ""
},
{
"id": 45,
"label": "Mask blur",
"localized": "Occlusion Edge Smoothing",
"reload": "",
"hint": "Gaussian blur radius applied to occlusion boundaries in pixel space"
},
{
"id": 46,
"label": "Min guidance",
"localized": "Minimum Latent Guidance",
"reload": "",
"hint": ""
},
{
"id": 47,
"label": "Max guidance",
"localized": "Maximum Latent Guidance",
"reload": "",
"hint": ""
},
{
"id": 48,
"label": "Motion level",
"localized": "Temporal Motion Scalar",
"reload": "",
"hint": ""
},
{
"id": 49,
"label": "Mode after",
"localized": "Post-Process Logic",
"reload": "",
"hint": ""
},
{
"id": 50,
"label": "Method after",
"localized": "Post-Process Protocol",
"reload": "",
"hint": ""
},
{
"id": 51,
"label": "Mode mask",
"localized": "Occlusion Logic",
"reload": "",
"hint": ""
},
{
"id": 52,
"label": "Method mask",
"localized": "Occlusion Protocol",
"reload": "",
"hint": ""
},
{
"id": 53,
"label": "Maximum units",
"localized": "Processing Node Ceiling",
"reload": "",
"hint": ""
},
{
"id": 54,
"label": "Max faces",
"localized": "Facial Feature Ceiling",
"reload": "",
"hint": ""
},
{
"id": 55,
"label": "Medium",
"localized": "Median Latency",
"reload": "",
"hint": ""
},
{
"id": 56,
"label": "Merge alpha",
"localized": "Fusion Alpha-Blending",
"reload": "",
"hint": ""
},
{
"id": 57,
"label": "Mask only",
"localized": "Occlusion-Isolated Mode",
"reload": "",
"hint": ""
},
{
"id": 58,
"label": "Max tags",
"localized": "Semantic Tag Ceiling",
"reload": "",
"hint": "Maximum lexical tag count permitted in metadata output.<br>Constrains result set when frame features are high-density.<br>Tags are prioritized via confidence scalar."
},
{
"id": 59,
"label": "Memory",
"localized": "VRAM Allocation",
"reload": "",
"hint": ""
},
{
"id": 60,
"label": "Memory optimization",
"localized": "VRAM Throughput Tuning",
"reload": "",
"hint": ""
},
{
"id": 61,
"label": "Model Info",
"localized": "Manifold Telemetry",
"reload": "",
"hint": ""
},
{
"id": 62,
"label": "Model pipeline",
"localized": "Manifold Pipeline Routing",
"reload": "",
"hint": "In the event of failed autodetect, explicitly select the manifold-type taxonomy before execution."
},
{
"id": 63,
"label": "Model auto-load on start",
"localized": "Initialize Manifold at Startup",
"reload": "",
"hint": ""
},
{
"id": 64,
"label": "Model load using multiple threads",
"localized": "Parallel Weight-Stream Ingestion",
"reload": "",
"hint": ""
},
{
"id": 65,
"label": "Model auto-download on demand",
"localized": "Just-In-Time Weight Retrieval",
"reload": "",
"hint": ""
},
{
"id": 66,
"label": "Model load using streams",
"localized": "Asynchronous Streamed Ingestion",
"reload": "",
"hint": "Initiate manifold ingestion via data-streams, optimized for network-attached storage latency."
},
{
"id": 67,
"label": "Model load model direct to GPU",
"localized": "Direct-to-VRAM Buffer Injection",
"reload": "",
"hint": ""
},
{
"id": 68,
"label": "Model types not to offload",
"localized": "Persistent VRAM Assets",
"reload": "",
"hint": ""
},
{
"id": 69,
"label": "Modules to always offload",
"localized": "Volatile VRAM Assets",
"reload": "",
"hint": ""
},
{
"id": 70,
"label": "Modules to never offload",
"localized": "Immutable VRAM Assets",
"reload": "",
"hint": ""
},
{
"id": 71,
"label": "Model types not to quantize",
"localized": "Full-Precision Manifold Types",
"reload": "",
"hint": ""
},
{
"id": 72,
"label": "Modules to not convert",
"localized": "Conversion-Exempt Modules",
"reload": "",
"hint": ""
},
{
"id": 73,
"label": "Modules dtype dict",
"localized": "Module Bit-Depth Registry",
"reload": "",
"hint": ""
},
{
"id": 74,
"label": "Math",
"localized": "Compute Arithmetic Logic",
"reload": "",
"hint": ""
},
{
"id": 75,
"label": "Memory limit",
"localized": "VRAM Capacity Ceiling",
"reload": "",
"hint": ""
},
{
"id": 76,
"label": "migraphx",
"localized": "MIGraphX Acceleration",
"reload": "",
"hint": ""
},
{
"id": 77,
"label": "max-autotune",
"localized": "Peak-Performance Autotuning",
"reload": "",
"hint": ""
},
{
"id": 78,
"label": "max-autotune-no-cudagraphs",
"localized": "Non-CUDA-Graph Autotuning",
"reload": "",
"hint": ""
},
{
"id": 79,
"label": "Maximum image size (MP)",
"localized": "Raster Pixel Ceiling (MP)",
"reload": "",
"hint": ""
},
{
"id": 80,
"label": "Max words",
"localized": "Token-Vector Ceiling",
"reload": "",
"hint": ""
},
{
"id": 81,
"label": "Modern",
"localized": "Contemporary Interface UI",
"reload": "",
"hint": ""
},
{
"id": 82,
"label": "Mount URL subpath",
"localized": "URI Sub-Namespace Mapping",
"reload": "",
"hint": ""
},
{
"id": 83,
"label": "Mobile scale",
"localized": "Viewport Scaling Factor",
"reload": "",
"hint": ""
},
{
"id": 84,
"label": "Move detailer model to CPU when complete",
"localized": "De-allocate Detailer Weight-Vector to RAM",
"reload": "",
"hint": ""
},
{
"id": 85,
"label": "Move base model to CPU when using refiner",
"localized": "Base-Manifold RAM-Swapping During Refinement",
"reload": "",
"hint": ""
},
{
"id": 86,
"label": "Move base model to CPU when using VAE",
"localized": "Base-Manifold RAM-Swapping During VAE Encoding",
"reload": "",
"hint": ""
},
{
"id": 87,
"label": "Move refiner model to CPU when not in use",
"localized": "Idle Refiner RAM-Swapping",
"reload": "",
"hint": ""
},
{
"id": 88,
"label": "Move VAE and CLIP to RAM when training",
"localized": "Auxiliary Weight-Vector RAM-Swapping",
"reload": "",
"hint": ""
},
{
"id": 89,
"label": "Model name",
"localized": "Manifold Designation",
"reload": "",
"hint": ""
},
{
"id": 90,
"label": "Model base path",
"localized": "Manifold Storage Vector",
"reload": "",
"hint": ""
},
{
"id": 91,
"label": "Max shard size",
"localized": "Fragmented Data-Shard Ceiling",
"reload": "",
"hint": ""
},
{
"id": 92,
"label": "Model class",
"localized": "Manifold Taxonomy",
"reload": "",
"hint": ""
},
{
"id": 93,
"label": "Mid Block",
"localized": "Central Bottleneck Layer",
"reload": "",
"hint": "UNet architecture's central Bottleneck layer (scalar variable)"
},
{
"id": 94,
"label": "Model precision",
"localized": "Manifold Floating-Point Precision",
"reload": "",
"hint": ""
},
{
"id": 95,
"label": "Maximum rank",
"localized": "Rank-Decomposition Ceiling",
"reload": "",
"hint": ""
},
{
"id": 96,
"label": "Midas depth",
"localized": "MiDaS Depth Projection",
"reload": "",
"hint": ""
},
{
"id": 97,
"label": "MLSD",
"localized": "MLSD Line-Detection Logic",
"reload": "",
"hint": ""
},
{
"id": 98,
"label": "MediaPipe Face",
"localized": "MediaPipe Facial Mesh-Vector",
"reload": "",
"hint": ""
},
{
"id": 99,
"label": "Marigold Depth",
"localized": "Marigold Depth Projection",
"reload": "",
"hint": ""
}
],
"n": [
{
"id": 0,
"label": "Networks",
"localized": "Neural Connectivity Matrix",
"reload": "",
"hint": "Primary interface for inter-node architectural data-flow visualization"
},
{
"id": 0,
"label": "New row",
"localized": "New row",
"reload": "",
"hint": "Instantiate fresh horizontal vector alignment"
},
{
"id": 0,
"label": "New column",
"localized": "New column",
"reload": "",
"hint": "Instantiate fresh vertical vector alignment"
},
{
"id": 0,
"label": "Nunchaku",
"localized": "Nunchaku",
"reload": "",
"hint": "Nunchaku-protocol acceleration module"
},
{
"id": 0,
"label": "NudeNet",
"localized": "NudeNet",
"reload": "",
"hint": "Algorithmic obfuscation layer for biologically explicit visual data detection"
},
{
"id": 0,
"label": "Nunchaku Engine",
"localized": "Nunchaku Engine",
"reload": "",
"hint": "Core processing unit for the Nunchaku-based tensor optimization suite"
},
{
"id": 0,
"label": "NNCF: Neural Network Compression Framework",
"localized": "NNCF: Neural Network Compression Framework",
"reload": "",
"hint": "Neural Network Compression Framework for parameter state-space reduction"
},
{
"id": 0,
"label": "Noise Options",
"localized": "Stochastic Variance Parameters",
"reload": "",
"hint": "Configuration matrix for gaussian perturbation and latent entropy injection"
},
{
"id": 0,
"label": "Networks panel",
"localized": "Connectivity Dashboard",
"reload": "",
"hint": "Interface for real-time monitoring of interconnected sub-modules"
},
{
"id": 0,
"label": "Networks UI",
"localized": "Connectivity UI",
"reload": "",
"hint": "User interface layer for interacting with neural network weights and modules"
},
{
"id": 0,
"label": "Networks Scan",
"localized": "Recursive Connectivity Inventory",
"reload": "",
"hint": "Systematic indexer for discovering available weight-sets in the storage path"
},
{
"id": 0,
"label": "Negative prompt",
"localized": "Inverse Semantic Constraint",
"reload": "",
"hint": "Specify conceptual exclusion vectors to subtract from the latent diffusion manifold"
},
{
"id": 0,
"label": "Number",
"localized": "Number",
"reload": "",
"hint": "Numerical floating-point integer parameter"
},
{
"id": 0,
"label": "negative",
"localized": "negative",
"reload": "",
"hint": "Vector exclusion marker"
},
{
"id": 0,
"label": "None",
"localized": "None",
"reload": "",
"hint": "Null-value assignment"
},
{
"id": 0,
"label": "NSFW allowed",
"localized": "NSFW allowed",
"reload": "",
"hint": "Disable biological-content filtration protocols in augmented semantic strings"
},
{
"id": 0,
"label": "Noise strength",
"localized": "Stochastic Perturbation Magnitude",
"reload": "",
"hint": "Scalar coefficient for the injected entropy signal"
},
{
"id": 0,
"label": "NMS",
"localized": "NMS",
"reload": "",
"hint": "Non-Maximum Suppression heuristic for redundant candidate pruning"
},
{
"id": 0,
"label": "Near threshold",
"localized": "Proximity Thresholding",
"reload": "",
"hint": "Distance-metric boundary for vector association"
},
{
"id": 0,
"label": "Noise scale",
"localized": "Stochastic Perturbation Amplitude",
"reload": "",
"hint": "Normalization coefficient for the noise variance"
},
{
"id": 0,
"label": "Note",
"localized": "System Annotation",
"reload": "",
"hint": "Transient metadata log entry"
},
{
"id": 0,
"label": "Non-blocking move operations",
"localized": "Asynchronous Memory Migration",
"reload": "",
"hint": "Enable non-serial I/O data transfers between VRAM/RAM buffers"
},
{
"id": 0,
"label": "Nunchaku attention",
"localized": "Nunchaku Attention-Mechanism",
"reload": "",
"hint": "Overrides standard self-attention with Nunchaku-optimized FP16 kernels for enhanced latency throughput on NVIDIA Tensor Cores.<br>May yield performance delta on architectures prioritizing FP16 operations over BF16.<br><br>Scoped to Flux-variant models (Dev, Schnell, Kontext, Fill, etc.); inert for Qwen/SDXL/Sana architectures.<br><br>Status: Deactivated by default."
},
{
"id": 0,
"label": "Nunchaku offloading",
"localized": "Nunchaku Block-Pipelining",
"reload": "",
"hint": "Activates localized block-based CPU-to-GPU offloading utilizing asynchronous CUDA stream concurrent execution to minimize VRAM saturation.<br>Employs ping-pong buffering: compute-on-GPU simultaneous with fetch-to-RAM cycle to hide I/O latency bottlenecks.<br><br>Trade-off: Increased inference latency for decreased VRAM footprint.<br>Supersedes standard SD.Next transformer pipeline offloading.<br><br>Optimized for low-VRAM memory environments. Recommend disabling for systems with VRAM headroom (16GB+) to maximize throughput.<br>Compatible with Flux/Qwen architecture-sets. Ignored for SDXL systems.<br>Status: Deactivated by default."
},
{
"id": 0,
"label": "native",
"localized": "native",
"reload": "",
"hint": "Primary system-default implementation"
},
{
"id": 0,
"label": "no-grad",
"localized": "no-grad",
"reload": "",
"hint": "Invoke torch.no_grad context to suppress gradient backpropagation, optimizing for inference-only memory overhead"
},
{
"id": 0,
"label": "Numbered filenames",
"localized": "Sequential Indexing",
"reload": "",
"hint": "Enable auto-incrementing integer suffixes for output file serialization"
},
{
"id": 0,
"label": "Network card size (px)",
"localized": "Connectivity Visualization Radius (px)",
"reload": "",
"hint": "Define viewport geometry for network UI elements"
},
{
"id": 0,
"label": "Noise multiplier for image processing",
"localized": "Stochastic Scalar for Image Synthesis",
"reload": "",
"hint": "Adjustable gain coefficient for noise injection during latent post-processing"
},
{
"id": 0,
"label": "New model name",
"localized": "Unique Model Identifier",
"reload": "",
"hint": "Designate target naming string for serialized merge outputs"
},
{
"id": 0,
"label": "Number of ReBasin Iterations",
"localized": "ReBasin Permutation Cycles",
"reload": "",
"hint": "Define quantity of permutation/alignment passes for latent-space model merging"
},
{
"id": 0,
"label": "Network prompt",
"localized": "Connectivity Prompting",
"reload": "",
"hint": "Inject specific neural-network weighting instructions into the generation pipeline"
},
{
"id": 0,
"label": "Network negative prompt",
"localized": "Inverse Connectivity Prompting",
"reload": "",
"hint": "Inject specific neural-network exclusion instructions into the generation pipeline"
},
{
"id": 0,
"label": "Network parameters",
"localized": "Connectivity Configuration Parameters",
"reload": "",
"hint": "Set architectural adjustment parameters for network-controlled weights"
}
],
"o": [
{
"id": 0,
"label": "txt2img_results_mobile",
"localized": "Visual Output Matrix (Mobile)",
"reload": "false",
"hint": "Engage/disengage visualization of computational data packets: current generative synthesis and real-time waveform feed-through during the iteration cycle"
},
{
"id": 0,
"label": "OpenCLiP",
"localized": "OpenCLiP Logic Core",
"reload": "false",
"hint": "Analyze vector-space imagery utilizing the CLiP (Contrastive Language-Image Pre-training) neural heuristic via the OpenCLiP abstraction layer"
},
{
"id": 0,
"label": "ONNX",
"localized": "ONNX",
"reload": "false",
"hint": "Initialize Open Neural Network Exchange runtime environment"
},
{
"id": 0,
"label": "Override",
"localized": "Parameter Override",
"reload": "false",
"hint": "Bypass current system equilibrium states and force injection of localized metadata directives"
},
{
"id": 0,
"label": "Optimum Quanto",
"localized": "Optimum Quanto Matrix",
"reload": "false",
"hint": "Initialize weight quantization protocols for optimized tensor compression"
},
{
"id": 0,
"label": "Optimum Quanto: post-load",
"localized": "Optimum Quanto: Post-Load Sequence",
"reload": "false",
"hint": "Execute post-initialization weight quantization compression"
},
{
"id": 0,
"label": "Optional",
"localized": "Optional",
"reload": "false",
"hint": "Non-mandatory field directive"
},
{
"id": 0,
"label": "Olive",
"localized": "Olive Accelerator",
"reload": "false",
"hint": "Initialize the Olive (Optimization Loop for Inference and Validation) optimization backend"
},
{
"id": 0,
"label": "OpenVINO",
"localized": "OpenVINO Engine",
"reload": "false",
"hint": "Initialize OpenVINO hardware inference acceleration engine"
},
{
"id": 0,
"label": "Other...",
"localized": "Other...",
"reload": "false",
"hint": "Supplementary configuration parameters"
},
{
"id": 0,
"label": "Outputs & Images",
"localized": "Generative Resultant & Raster Data",
"reload": "false",
"hint": "Management console for saved rasterization output arrays"
},
{
"id": 0,
"label": "Override settings",
"localized": "Parameter Injection Override",
"reload": "false",
"hint": "If synthesis vectors diverge from global system constants, inject specific parameters to supersede core configurational logic for this operational workflow"
},
{
"id": 0,
"label": "Override sampler",
"localized": "Sampler Logic Override",
"reload": "false",
"hint": "Supersede the primary diffusion sampling algorithm"
},
{
"id": 0,
"label": "Override steps",
"localized": "Iterative Step-Count Override",
"reload": "false",
"hint": "Force injection of manual iteration count for diffusion cycles"
},
{
"id": 0,
"label": "Ortho",
"localized": "Orthogonal Projection",
"reload": "false",
"hint": "Enable orthogonal geometric constraints for tensor reconstruction"
},
{
"id": 0,
"label": "Offload face module",
"localized": "Decommission Facial Heuristic",
"reload": "false",
"hint": "Release GPU memory allocated to the facial feature processing module"
},
{
"id": 0,
"label": "Override scheduler",
"localized": "Scheduler Logic Override",
"reload": "false",
"hint": "Supersede the noise schedule convergence algorithm"
},
{
"id": 0,
"label": "Optional image description",
"localized": "Supplemental Contextual Vector",
"reload": "false",
"hint": "Inject additional linguistic descriptive metadata"
},
{
"id": 0,
"label": "Order",
"localized": "Temporal Sequence",
"reload": "false",
"hint": "Define the temporal ordering of generated frame arrays"
},
{
"id": 0,
"label": "Overlay",
"localized": "Raster Overlay Layer",
"reload": "false",
"hint": "Apply secondary layer transparency composite"
},
{
"id": 0,
"label": "Override resolution",
"localized": "Dimensionality Override",
"reload": "false",
"hint": "Force re-mapping of viewport coordinate dimensions"
},
{
"id": 0,
"label": "Offload processor",
"localized": "Processor Memory Decommissioning",
"reload": "false",
"hint": "Shift computational overhead to host memory buffers"
},
{
"id": 0,
"label": "Output directory",
"localized": "Data Export Path",
"reload": "false",
"hint": "Designate the local sector destination for serialized output image data"
},
{
"id": 0,
"label": "original",
"localized": "Original",
"reload": "false",
"hint": "Native Latent Diffusion Model baseline architecture"
},
{
"id": 0,
"label": "Offload caption models",
"localized": "Captioning Heuristic Offload",
"reload": "false",
"hint": "Deallocate linguistic interpretation modules from high-speed VRAM"
},
{
"id": 0,
"label": "Offload during pre-forward",
"localized": "Pre-Forward Memory Purge",
"reload": "false",
"hint": "Execute memory dump during the pre-forward inference phase"
},
{
"id": 0,
"label": "Offload using streams",
"localized": "Stream-Based Memory Migration",
"reload": "false",
"hint": "Utilize asynchronous data streaming for memory offloading operations"
},
{
"id": 0,
"label": "Offload low watermark",
"localized": "Low-Threshold Memory Reclamation",
"reload": "false",
"hint": "Establish the lower threshold for memory buffer reclamation"
},
{
"id": 0,
"label": "Offload GPU high watermark",
"localized": "GPU High-Threshold Memory Purge",
"reload": "false",
"hint": "Establish the maximum VRAM capacity threshold before mandatory offloading"
},
{
"id": 0,
"label": "Offload CPU high watermark",
"localized": "CPU High-Threshold Memory Purge",
"reload": "false",
"hint": "Establish the maximum system RAM capacity threshold before mandatory offloading"
},
{
"id": 0,
"label": "Offload blocks",
"localized": "Modular Block Offloading",
"reload": "false",
"hint": "Segment and offload specific computational blocks"
},
{
"id": 0,
"label": "OpenVINO activations mode",
"localized": "OpenVINO Activation State",
"reload": "false",
"hint": "Configure the activation functions for OpenVINO engine utilization"
},
{
"id": 0,
"label": "ONNX Execution Provider",
"localized": "ONNX Runtime Provider",
"reload": "false",
"hint": "Designate the hardware execution interface for ONNX processing"
},
{
"id": 0,
"label": "ONNX allow fallback to CPU",
"localized": "Allow CPU Execution Failover",
"reload": "false",
"hint": "Authorize automatic fallback to CPU logic gates when primary accelerator provider fails"
},
{
"id": 0,
"label": "ONNX cache converted models",
"localized": "Cache Transcoded Models",
"reload": "false",
"hint": "Persist neural model architectures transcoded to ONNX format within the local cache repository for rapid retrieval"
},
{
"id": 0,
"label": "ONNX unload base model when processing refiner",
"localized": "Purge Base Model during Refinement",
"reload": "false",
"hint": "Clear the base neural model from active memory during the execution of the refiner pipeline"
},
{
"id": 0,
"label": "Olive use FP16 on optimization",
"localized": "Olive: Enable 16-bit Precision",
"reload": "false",
"hint": "Apply 16-bit floating point precision arithmetic to the optimized model output. Revert to 32-bit floating point if inactive"
},
{
"id": 0,
"label": "Olive force FP32 for VAE Encoder",
"localized": "Olive: Force 32-bit VAE",
"reload": "false",
"hint": "Force 32-bit floating point precision specifically for the VAE encoder. Overrides FP16 setting; toggle this if experiencing numerical instability (NaN) or zero-value raster output"
},
{
"id": 0,
"label": "Olive use static dimensions",
"localized": "Olive: Static Geometry",
"reload": "false",
"hint": "Lock dimensional tensors to static constants to optimize throughput latency. (OrtTransformersOptimization)"
},
{
"id": 0,
"label": "Olive cache optimized models",
"localized": "Cache Optimized Models",
"reload": "false",
"hint": "Save Olive-processed neural network topologies as a persistent cache"
},
{
"id": 0,
"label": "OpenVINO disable model caching",
"localized": "Disable OpenVINO Model Caching",
"reload": "false",
"hint": "Suppress persistent storage of compiled model binaries"
},
{
"id": 0,
"label": "OpenVINO disable memory cleanup after compile",
"localized": "Bypass Post-Compile Memory Reclamation",
"reload": "false",
"hint": "Prevent automatic memory buffer purging following the compilation cycle"
},
{
"id": 0,
"label": "onediff",
"localized": "OneDiff Accelerator",
"reload": "false",
"hint": "Initialize the OneDiff acceleration library"
},
{
"id": 0,
"label": "olive-ai",
"localized": "Olive-AI Core",
"reload": "false",
"hint": "Initialize the Olive-AI optimization framework"
},
{
"id": 0,
"label": "openvino_fx",
"localized": "OpenVINO_FX Interface",
"reload": "false",
"hint": "Initialize the OpenVINO graph-based execution interface"
},
{
"id": 0,
"label": "Overwrite existing",
"localized": "Allow Data Overwrite",
"reload": "false",
"hint": "Permit the destruction of pre-existing files with identical nomenclature"
},
{
"id": 0,
"label": "Out Block",
"localized": "UNet Output Block",
"reload": "false",
"hint": "Upsampling blocks within the UNet topology (12 vector nodes for SD1.5, 9 nodes for SDXL)"
},
{
"id": 0,
"label": "Overwrite model",
"localized": "Overwrite Neural Architecture",
"reload": "false",
"hint": "Supersede current model weights with incoming data"
},
{
"id": 0,
"label": "Output model",
"localized": "Export Neural Architecture",
"reload": "false",
"hint": "Designate the final serialized neural network output object"
},
{
"id": 0,
"label": "Overwrite existing file",
"localized": "Force File Overwrite",
"reload": "false",
"hint": "Permit automatic replacement of data at the target file system sector"
},
{
"id": 0,
"label": "Options",
"localized": "Configuration Modalities",
"reload": "false",
"hint": "Modify advanced operational settings"
},
{
"id": 0,
"label": "OpenBody",
"localized": "OpenBody Heuristic",
"reload": "false",
"hint": "Initialize the OpenBody human pose detection matrix"
}
],
"p": [
{
"id": 1,
"label": "Process",
"localized": "Compute Sequence",
"reload": "",
"hint": "Initiate latent-space manipulation on existing raster data. Utilizable for super-resolution scaling, environmental background extraction, stochastic censorship of non-compliant probabilistic content, and modulation of algorithmic effect filters."
},
{
"id": 2,
"label": "Prompts",
"localized": "Semantic Vectors",
"reload": "",
"hint": "Primary generative vector seeds and negative constraint inhibition parameters."
},
{
"id": 3,
"label": "Pause",
"localized": "Temporal Stasis",
"reload": "",
"hint": "Initiate immediate suspension of the computational inference manifold."
},
{
"id": 4,
"label": "Post",
"localized": "Post-Render Scaling",
"reload": "",
"hint": "Execute dimensional geometry adjustment following the primary inference completion."
},
{
"id": 5,
"label": "Preview",
"localized": "Heuristic Visualization",
"reload": "",
"hint": "Render an intermittent estimation of the output manifold during state convergence."
},
{
"id": 6,
"label": "Process Image",
"localized": "Execute Raster Inference",
"reload": "",
"hint": "Deploy computational cycles upon a discrete rasterized data array."
},
{
"id": 7,
"label": "Process Batch",
"localized": "Mass Vector Computation",
"reload": "",
"hint": "Synchronized queue execution for clustered rasterized data arrays."
},
{
"id": 8,
"label": "Process Folder",
"localized": "Recursive Directory Ingestion",
"reload": "",
"hint": "Recursive inference execution across all file-system directory blocks."
},
{
"id": 9,
"label": "Provider",
"localized": "Backend Compute Interface",
"reload": "",
"hint": "Select the hardware acceleration protocol for neural weight processing."
},
{
"id": 10,
"label": "Pipeline Modifiers",
"localized": "Latent Stream Alterations",
"reload": "",
"hint": "Auxiliary functional subroutines activated during the generative inference phase."
},
{
"id": 11,
"label": "Postprocessing",
"localized": "Latent Refinement Logic",
"reload": "",
"hint": "Configuration arrays for post-inference architectural upscaling and noise modulation."
},
{
"id": 12,
"label": "Preset Block Merge",
"localized": "Heuristic Weight Fusion",
"reload": "",
"hint": "Automated merging protocol for localized neural weight strata."
},
{
"id": 13,
"label": "Preview metadata",
"localized": "Manifest Metadata Visualization",
"reload": "",
"hint": "Display encoded provenance data embedded within the raster output."
},
{
"id": 14,
"label": "Prompt",
"localized": "Semantic Vector",
"reload": "",
"hint": "Define the textual entropy descriptor for the intended generative output."
},
{
"id": 15,
"label": "Processed Preview",
"localized": "Pre-Inference Visualization",
"reload": "",
"hint": "Toggle observational status of the pre-processed input vector state prior to generative completion."
},
{
"id": 16,
"label": "PixelArt",
"localized": "Quantized Geometry",
"reload": "",
"hint": "Apply a discrete coordinate quantization filter to simulate low-fidelity raster aesthetics."
},
{
"id": 17,
"label": "PAG: Perturbed attention guidance",
"localized": "PAG: Perturbed Attention Guidance",
"reload": "",
"hint": "Utilize divergent attention perturbation to enhance structural coherence."
},
{
"id": 18,
"label": "PAB: Pyramid attention broadcast",
"localized": "PAB: Pyramid Attention Broadcast",
"reload": "",
"hint": "Broadcast hierarchical pyramid attention vectors across the neural layers."
},
{
"id": 19,
"label": "Para-attention",
"localized": "Parallel Attention Stream",
"reload": "",
"hint": "Execute simultaneous attention mechanisms for accelerated weight convergence."
},
{
"id": 20,
"label": "Paths for specific models",
"localized": "Model Weight Directories",
"reload": "",
"hint": "Define filesystem navigational nodes for specific neural weight matrices."
},
{
"id": 21,
"label": "Prediction method",
"localized": "Stochastic Inference Architecture",
"reload": "",
"hint": "Defines the fundamental mathematical approach for latent step prediction. Options: default, epsilon (standard variance), sample (direct denoising), v_prediction (velocity-based), flow_prediction (flow-matching paradigm)."
},
{
"id": 22,
"label": "PAG scale",
"localized": "PAG Intensity Scalar",
"reload": "",
"hint": "Quantify the magnitude of attention perturbation applied to the inference."
},
{
"id": 23,
"label": "PAG start",
"localized": "PAG Initial Threshold",
"reload": "",
"hint": "Set the initiation step in the diffusion sequence for PAG activation."
},
{
"id": 24,
"label": "PAG stop",
"localized": "PAG Termination Threshold",
"reload": "",
"hint": "Set the terminal step in the diffusion sequence for PAG activation."
},
{
"id": 25,
"label": "PAG layers",
"localized": "PAG Stratum Count",
"reload": "",
"hint": "Define the quantity of neural layers subjected to PAG modulation."
},
{
"id": 26,
"label": "PAG config",
"localized": "PAG Configuration Schema",
"reload": "",
"hint": "Assign the operational JSON configuration for PAG parameters."
},
{
"id": 27,
"label": "Perform SDSA",
"localized": "Execute SDSA",
"reload": "",
"hint": "Initiate Stable Diffusion Spatial Alignment protocols."
},
{
"id": 28,
"label": "Perform Injection",
"localized": "Execute Latent Injection",
"reload": "",
"hint": "Execute manual injection of supplementary vector data into the latent stream."
},
{
"id": 29,
"label": "PhotoMaker Model",
"localized": "PhotoMaker Weight Matrix",
"reload": "",
"hint": "Specify the identification weight matrix for PhotoMaker operations."
},
{
"id": 30,
"label": "Penalty",
"localized": "Constraint Penalty",
"reload": "",
"hint": "Weight scalar applied to negative constraint violations."
},
{
"id": 31,
"label": "positive",
"localized": "positive",
"reload": "",
"hint": "Positive semantic assertion vector."
},
{
"id": 32,
"label": "Prompt EX",
"localized": "Extended Semantic Injection",
"reload": "",
"hint": "Advanced augmentation for expanded semantic vectors."
},
{
"id": 33,
"label": "Power",
"localized": "Magnitude Coefficient",
"reload": "",
"hint": "Amplitude scaler for regional semantic influence."
},
{
"id": 34,
"label": "Prompt thresholds",
"localized": "Semantic Thresholds",
"reload": "",
"hint": "Define sensitivity cutoff points for vector activation."
},
{
"id": 35,
"label": "Preset",
"localized": "Configuration Preset",
"reload": "",
"hint": "Load a pre-configured array of system parameters."
},
{
"id": 36,
"label": "Pad frames",
"localized": "Frame Buffer Padding",
"reload": "",
"hint": "Inject buffer data into temporal frame sequences."
},
{
"id": 37,
"label": "Prefill text",
"localized": "Semantic Seed Injection",
"reload": "",
"hint": "Pre-inject initial semantic strings into the model's context window to bias the generative convergence path. Note: These inputs are purged from the finalized response."
},
{
"id": 38,
"label": "Prompt prefix",
"localized": "Initial Semantic Header",
"reload": "",
"hint": "Force-prepend specific semantic strings to the model query. Effective for locking in static quality descriptors or artistic identifiers."
},
{
"id": 39,
"label": "Prompt suffix",
"localized": "Terminal Semantic Footer",
"reload": "",
"hint": "Force-append specific semantic strings to the model query. Effective for preserving stylistic immutable constraints."
},
{
"id": 40,
"label": "Padding",
"localized": "Buffer Padding",
"reload": "",
"hint": "Define spatial buffer boundaries for image synthesis."
},
{
"id": 41,
"label": "Prompt strength",
"localized": "Semantic Weight Intensity",
"reload": "",
"hint": "Quantify the influence coefficient of the injected semantic vector."
},
{
"id": 42,
"label": "Preview start",
"localized": "Visualization Initiation",
"reload": "",
"hint": "Define the diffusion step threshold to begin heuristic output observation."
},
{
"id": 43,
"label": "Preview end",
"localized": "Visualization Termination",
"reload": "",
"hint": "Define the diffusion step threshold to cease heuristic output observation."
},
{
"id": 44,
"label": "Pixels to expand",
"localized": "Coordinate Expansion Factor",
"reload": "",
"hint": "Define the scalar expansion for pixel-space interpolation."
},
{
"id": 45,
"label": "Processor",
"localized": "Compute Pre-Processor",
"reload": "",
"hint": "Select the algorithmic logic for ControlNet data parsing."
},
{
"id": 46,
"label": "Pose confidence",
"localized": "Structural Confidence Score",
"reload": "",
"hint": "Establish the statistical probability threshold for pose detection."
},
{
"id": 47,
"label": "Parameter free",
"localized": "Static Parameter Mode",
"reload": "",
"hint": "Bypass dynamic parameter modulation."
},
{
"id": 48,
"label": "Processed",
"localized": "Rendered State",
"reload": "",
"hint": "Toggle UI visualization of post-inference processed datasets."
},
{
"id": 49,
"label": "Postprocess mask",
"localized": "Masked Refinement Logic",
"reload": "",
"hint": "Apply post-inference algorithmic processing constrained to a masked focal region."
},
{
"id": 50,
"label": "PixelArt block size",
"localized": "Geometry Grid Density",
"reload": "",
"hint": "Define the structural block dimension for quantization filters."
},
{
"id": 51,
"label": "PixelArt sharpen",
"localized": "Geometry Edge Enhancement",
"reload": "",
"hint": "Modulate the high-pass filter intensity for discretized geometry edges."
},
{
"id": 52,
"label": "Platform",
"localized": "Compute Architecture",
"reload": "",
"hint": "Identify the underlying hardware computational fabric."
},
{
"id": 53,
"label": "Pipeline",
"localized": "Execution Stream",
"reload": "",
"hint": "Define the serialized sequence of generative operational steps."
},
{
"id": 54,
"label": "Perform warmup",
"localized": "Execute Latency Priming",
"reload": "",
"hint": "Execute preliminary inference cycles to initialize the hardware buffer state."
},
{
"id": 55,
"label": "Prompt attention normalization",
"localized": "Semantic Weight Calibration",
"reload": "",
"hint": "Normalize vector token intensities to prevent semantic drift. Stabilizes the neural convergence manifold."
},
{
"id": 56,
"label": "performance",
"localized": "Performance",
"reload": "",
"hint": "Compute throughput efficiency metrics."
},
{
"id": 57,
"label": "PAG layer names",
"localized": "PAG Stratum Identifiers",
"reload": "",
"hint": "Delimited list of target neural strata. Available strata: d[0-5], m[0], u[0-8]. Default: m0."
},
{
"id": 58,
"label": "PAB cache enabled",
"localized": "PAB Caching Protocol",
"reload": "",
"hint": "Toggle the persistent memory storage for Pyramid Attention broadcast states."
},
{
"id": 59,
"label": "PAB spacial skip range",
"localized": "PAB Spatial Bypass Interval",
"reload": "",
"hint": "Define the spatial skip range coefficient for attention broadcasting."
},
{
"id": 60,
"label": "PAB spacial skip start",
"localized": "PAB Spatial Bypass Start",
"reload": "",
"hint": "Set initial threshold for spatial skip broadcast logic."
},
{
"id": 61,
"label": "PAB spacial skip end",
"localized": "PAB Spatial Bypass End",
"reload": "",
"hint": "Set termination threshold for spatial skip broadcast logic."
},
{
"id": 62,
"label": "ParaAttention first-block cache enabled",
"localized": "ParaAttention Initial Cache",
"reload": "",
"hint": "Enable memoization of the primary computational block in the parallel attention stream."
},
{
"id": 63,
"label": "ParaAttention residual diff threshold",
"localized": "ParaAttention Residual Variance Cutoff",
"reload": "",
"hint": "Set the variance threshold for residual differential calculation."
},
{
"id": 64,
"label": "Parallel process images in batch",
"localized": "Multithreaded Raster Ingestion",
"reload": "",
"hint": "Enable concurrent processing of image data within the batch vector."
},
{
"id": 65,
"label": "precompile",
"localized": "Pre-compile",
"reload": "",
"hint": "Trigger static compilation of neural kernels prior to active inference."
},
{
"id": 66,
"label": "Panel minimum width",
"localized": "UI Container Min-Width",
"reload": "",
"hint": "Define the minimal dimensional footprint for UI interface containers."
},
{
"id": 67,
"label": "Persist UI layout",
"localized": "Layout State Persistence",
"reload": "",
"hint": "Force serialization of the current UI geometry state to non-volatile storage."
},
{
"id": 68,
"label": "Progress update period",
"localized": "Telemetry Polling Interval",
"reload": "",
"hint": "Define the update frequency in milliseconds for the heuristic progress visualization."
},
{
"id": 69,
"label": "Play a notification upon completion",
"localized": "Acoustic Inference Signal",
"reload": "",
"hint": "Trigger an audio event upon the successful termination of the generative sequence."
},
{
"id": 70,
"label": "Path to notification sound",
"localized": "Signal Source Path",
"reload": "",
"hint": "Specify the filesystem directory for the completion signal waveform."
},
{
"id": 71,
"label": "Postprocessing operation order",
"localized": "Post-Inference Sequence",
"reload": "",
"hint": "Define the execution order for stacked post-inference operations."
},
{
"id": 72,
"label": "Prompt padding",
"localized": "Semantic Vector Padding",
"reload": "",
"hint": "Stabilize convergence by injecting token buffers when sequence length exceeds 75 units."
},
{
"id": 73,
"label": "Pad prompt and negative prompt to be same length",
"localized": "Symmetric Semantic Padding",
"reload": "",
"hint": "Enforce unified vector length between positive and negative constraints."
},
{
"id": 74,
"label": "Pin training dataset to memory",
"localized": "Dataset RAM Residency",
"reload": "",
"hint": "Lock training dataset into volatile RAM to eliminate I/O latency."
},
{
"id": 75,
"label": "Primary model",
"localized": "Primary Weight Matrix",
"reload": "",
"hint": "Designate the lead neural weight matrix for synthesis."
},
{
"id": 76,
"label": "Preset Interpolation Ratio",
"localized": "Preset Blending Scalar",
"reload": "",
"hint": "Define the interpolation weight between two distinct preset configurations."
},
{
"id": 77,
"label": "Prune",
"localized": "Model Pruning",
"reload": "",
"hint": "Execute neural connection excision to optimize model weight footprint."
},
{
"id": 78,
"label": "Prediction type",
"localized": "Latent Prediction Paradigm",
"reload": "",
"hint": "Set the mathematical model type for latent variance reduction."
},
{
"id": 79,
"label": "Prompt enhance",
"localized": "Semantic Vector Augmentation",
"reload": "",
"hint": "Invoke external Large Language Model logic to iterate and optimize semantic input vectors."
},
{
"id": 80,
"label": "PidiNet",
"localized": "PidiNet Architecture",
"reload": "",
"hint": "Utilize PidiNet edge-detection neural architecture."
},
{
"id": 81,
"label": "Parameters",
"localized": "System Configuration Array",
"reload": "",
"hint": "Core state variables utilized throughout the generative inference execution."
},
{
"id": 82,
"label": "Postprocess upscale",
"localized": "Terminal Super-Resolution",
"reload": "",
"hint": "Engage terminal super-resolution protocols."
}
],
"q": [
{
"id": 1,
"label": "Quick Settings",
"localized": "Rapid-Access Parameter Hub",
"reload": "false",
"hint": "Synchronized nodes and prioritized configuration clusters for near-instantaneous neural pathway adjustment."
},
{
"id": 2,
"label": "Quantized",
"localized": "Binarized Vector State",
"reload": "false",
"hint": "The process of collapsing high-dimensional floating-point tensors into low-precision discrete bit-states to optimize computational latency."
},
{
"id": 3,
"label": "Qwen layered",
"localized": "Multi-Staged Qwen Architecture",
"reload": "false",
"hint": "Configuring the Qwen transformer stack into distinct sequential layers for iterative feature extraction."
},
{
"id": 4,
"label": "Quicksettings",
"localized": "Rapid-Access Hub",
"reload": "false",
"hint": "The unified interface for accelerated configuration tweaking."
},
{
"id": 5,
"label": "Qwen layered number of layers",
"localized": "Qwen Stratification Index",
"reload": "false",
"hint": "Defining the total depth of the multi-layered Qwen neural architecture."
},
{
"id": 6,
"label": "Quantization mode",
"localized": "Bit-Compression Protocol",
"reload": "false",
"hint": "Selecting the algorithmic methodology for reducing tensor bit-depth."
},
{
"id": 7,
"label": "Quantization type",
"localized": "Precision-Reduction Paradigm",
"reload": "false",
"hint": "Defining the specific mathematical strategy for mapping continuous values to quantized integers."
},
{
"id": 8,
"label": "Quantized MatMul type",
"localized": "Condensed Tensor-Multiply Logic",
"reload": "false",
"hint": "Specifying the accelerated kernel operations for performing matrix multiplications on quantized data structures."
},
{
"id": 9,
"label": "Quantization type for Text Encoders",
"localized": "Semantic-Processor Compression Paradigm",
"reload": "false",
"hint": "Defining the specific mathematical strategy for mapping continuous values within the Text Encoder modules."
},
{
"id": 10,
"label": "Quantized MatMul type for Text Encoders",
"localized": "Semantic-Processor Condensed Tensor-Multiply Logic",
"reload": "false",
"hint": "Specifying the accelerated kernel operations for performing matrix multiplications on Text Encoder data structures."
},
{
"id": 11,
"label": "Quantize convolutional layers",
"localized": "Convolutional Kernel Compression",
"reload": "false",
"hint": "Applying bit-depth reduction protocols to standard convolutional neural network layers."
},
{
"id": 12,
"label": "Quantize using GPU",
"localized": "Hardware-Accelerated Bit-Shifting",
"reload": "false",
"hint": "Utilizing GPU-level compute shaders to perform tensor quantization, bypassing CPU-bottlenecking."
},
{
"id": 13,
"label": "Quantization weights type",
"localized": "Synaptic Weight Compression Paradigm",
"reload": "false",
"hint": "Determining the mathematical precision strategy specifically for model weight parameters."
},
{
"id": 14,
"label": "Quantization activations type",
"localized": "Dynamic Activation Compression Paradigm",
"reload": "false",
"hint": "Determining the mathematical precision strategy specifically for layer activation states."
},
{
"id": 15,
"label": "Quicksettings list",
"localized": "Rapid-Access Registry",
"reload": "false",
"hint": "A comma-delimited sequence of directive identifiers slated for immediate interface deployment on the top-level command dashboard."
}
],
"r": [
{
"id": 1,
"label": "Refine",
"localized": "Recursive Synthesis Calibration",
"reload": "n/a",
"hint": "Initiates post-process semantic refinement protocols to reconstruct latent fidelity and enhance structural precision metrics."
},
{
"id": 2,
"label": "Restore",
"localized": "Retrograde Parameter Extraction",
"reload": "n/a",
"hint": "Reinstates configurational vectors from the active prompt buffer or the preceding epoch's finalized manifold."
},
{
"id": 3,
"label": "component-754",
"localized": "Anchor Point Initialization",
"reload": "n/a",
"hint": "Resets spatial coordinate anchors for the consistency matrix."
},
{
"id": 4,
"label": "component-982",
"localized": "Reload model",
"reload": "n/a",
"hint": "Flushes current weights and re-initializes the computational graph from disk storage."
},
{
"id": 5,
"label": "txt2img_reprocess",
"localized": "Iterative Manifold Re-Projection",
"reload": "n/a",
"hint": "Re-executes prior generative cycles using modified algorithmic heuristics."
},
{
"id": 6,
"label": "",
"localized": "Spatial Scaling Directive",
"reload": "n/a",
"hint": "Defines the target dimensions for coordinate space interpolation."
},
{
"id": 7,
"label": "",
"localized": "Relative Dimensional Scaling",
"reload": "n/a",
"hint": "Adjusts the output resolution according to a relative multiplier coefficient."
},
{
"id": 8,
"label": "",
"localized": "Spatial Scaling Directive",
"reload": "n/a",
"hint": "Defines the target dimensions for coordinate space interpolation."
},
{
"id": 9,
"label": "control_mask_refresh",
"localized": "Live Diagnostic Preview",
"reload": "n/a",
"hint": "Executes a real-time visualization of the current control layer mask."
},
{
"id": 10,
"label": "",
"localized": "Reference Archetype",
"reload": "n/a",
"hint": "Catalog of canonical model structures available for autonomous procurement upon initial activation."
},
{
"id": 11,
"label": "framepack_btn_reset_model",
"localized": "Reset formulation",
"reload": "n/a",
"hint": "Clears the current video synthesis recipe."
},
{
"id": 12,
"label": "video_generation_info_button",
"localized": "Initiate Sequence",
"reload": "n/a",
"hint": "Commences the video frame generation process."
},
{
"id": 13,
"label": "component-8738",
"localized": "Synchronize Extension Registry",
"reload": "n/a",
"hint": "Queries remote repositories to update the index of accessible modular extensions."
},
{
"id": 14,
"label": "restart_submit",
"localized": "Server Lifecycle Reboot",
"reload": "n/a",
"hint": "Terminates current process threads and re-spawns the computation environment."
},
{
"id": 15,
"label": "request_notifications",
"localized": "Broadcast System Interrupts",
"reload": "n/a",
"hint": "Authorizes the transmission of asynchronous status alerts to the browser client."
},
{
"id": 16,
"label": "ui_defaults_restore",
"localized": "Revert UI to Baseline",
"reload": "n/a",
"hint": "Resets user interface configuration vectors to the factory-default state."
},
{
"id": 17,
"label": "ui_defaults_view",
"localized": "Query UI Manifest",
"reload": "n/a",
"hint": "Forces a refresh of current interface parameters and state variables."
},
{
"id": 18,
"label": "component-8685",
"localized": "Deep Re-Installation",
"reload": "n/a",
"hint": "Purges existing package files and re-fetches dependencies."
},
{
"id": 19,
"label": "system_info_tab_refresh_btn",
"localized": "Pulse System Metrics",
"reload": "n/a",
"hint": "Initiates a status update of current hardware and software operational states."
},
{
"id": 20,
"label": "system_info_tab_refresh_full_btn",
"localized": "Flush System Telemetry",
"reload": "n/a",
"hint": "Performs a comprehensive re-fetch of all system data logs."
},
{
"id": 21,
"label": "system_info_tab_benchmark_btn",
"localized": "Run System Stress Test",
"reload": "n/a",
"hint": "Evaluates computational throughput using standardized synthetic workload profiles."
},
{
"id": 22,
"label": "system_info_tab_refresh_bench_btn",
"localized": "Reload Benchmark Log",
"reload": "n/a",
"hint": "Refreshes the displayed metrics from the last completed benchmark execution."
},
{
"id": 23,
"label": "defaults_submit",
"localized": "Reset Global Configuration",
"reload": "n/a",
"hint": "Restores primary server environment variables to initial settings."
},
{
"id": 24,
"label": "",
"localized": "Overwrite Buffer",
"reload": "n/a",
"hint": "Substitutes current visual data with new input stream."
},
{
"id": 25,
"label": "btn_history_refresh",
"localized": "Sync History Cache",
"reload": "n/a",
"hint": "Re-indexes the local session history database."
},
{
"id": 26,
"label": "txt2img_reprocess_decode",
"localized": "Re-Decode Pass",
"reload": "n/a",
"hint": "Re-executes the latent-to-pixel decoding pipeline."
},
{
"id": 27,
"label": "txt2img_reprocess_refine",
"localized": "Re-Refine Pass",
"reload": "n/a",
"hint": "Re-executes the secondary high-fidelity refinement pass."
},
{
"id": 28,
"label": "txt2img_reprocess_detail",
"localized": "Re-Detail Pass",
"reload": "n/a",
"hint": "Re-executes facial feature reconstruction logic."
},
{
"id": 29,
"label": "",
"localized": "Isolate Subject Plane",
"reload": "n/a",
"hint": "Excision of background data from the primary subject mask."
},
{
"id": 30,
"label": "",
"localized": "RAS: Region-Adaptive Sampling",
"reload": "n/a",
"hint": "Activates region-specific diffusion density algorithms."
},
{
"id": 31,
"label": "",
"localized": "Spatial Rescaling",
"reload": "n/a",
"hint": "Manipulates image geometry using either fixed vector coordinates or relative scaling factors."
},
{
"id": 32,
"label": "",
"localized": "Re-index Models",
"reload": "n/a",
"hint": "Triggers a directory sweep for newly deposited model assets."
},
{
"id": 33,
"label": "",
"localized": "Re-Initialize Model Components",
"reload": "n/a",
"hint": "Hot-swaps modular internal structures of the active model."
},
{
"id": 34,
"label": "",
"localized": "Rescale Signal-to-Noise",
"reload": "n/a",
"hint": "Performs a zero-terminal SNR (Signal-to-Noise Ratio) recalibration on the beta variance schedules."
},
{
"id": 35,
"label": "",
"localized": "Seed-Linked Dimensional Scaling (Width)",
"reload": "n/a",
"hint": "Attempts to maintain global structural coherence despite changes to the lateral resolution."
},
{
"id": 36,
"label": "",
"localized": "Seed-Linked Dimensional Scaling (Height)",
"reload": "n/a",
"hint": "Attempts to maintain global structural coherence despite changes to the longitudinal resolution."
},
{
"id": 37,
"label": "",
"localized": "Refinement Guidance Flux",
"reload": "n/a",
"hint": "Adjusts the CFG (Classifier Free Guidance) scalar specific to the refinement phase."
},
{
"id": 38,
"label": "",
"localized": "Rescaling Manifold Topology",
"reload": "n/a",
"hint": "Configures the geometric transform behavior during the secondary latent phase: - none: zero geometric variance; - fixed: force-fit to target matrix; - crop: centering logic; - fill: border padding synthesis; - outpaint: extrapolation expansion; - context: algorithmic surrounding-pixel blending."
},
{
"id": 39,
"label": "",
"localized": "Rescaling Algorithm",
"reload": "n/a",
"hint": "Defines the mathematical interpolation kernel used for geometry manipulation."
},
{
"id": 40,
"label": "",
"localized": "Target Width Vector",
"reload": "n/a",
"hint": "Explicitly sets the horizontal pixel count. If zero, calculates based on linked slider values."
},
{
"id": 41,
"label": "",
"localized": "Target Height Vector",
"reload": "n/a",
"hint": "Explicitly sets the vertical pixel count. If zero, calculates based on linked slider values."
},
{
"id": 42,
"label": "",
"localized": "Rescaling Coefficient",
"reload": "n/a",
"hint": "Global multiplier for input geometry."
},
{
"id": 43,
"label": "",
"localized": "Fall-back Sampling Engine",
"reload": "n/a",
"hint": "Designates a secondary sampler to engage if the primary module encounters an incompatible task vector."
},
{
"id": 44,
"label": "",
"localized": "Refiner Initialization Threshold",
"reload": "n/a",
"hint": "Sets the fractional progression point at which the refiner model overrides base generation."
},
{
"id": 45,
"label": "",
"localized": "Refiner Iteration Count",
"reload": "n/a",
"hint": "Determines the total temporal steps allocated to the refiner diffusion pass."
},
{
"id": 46,
"label": "",
"localized": "Refine Prompt Injection",
"reload": "n/a",
"hint": "Updates the text conditioning vector for the secondary encoder/refiner pipeline."
},
{
"id": 47,
"label": "",
"localized": "Refine Negative Conditioning",
"reload": "n/a",
"hint": "Updates the exclusion vector for the secondary encoder/refiner pipeline."
},
{
"id": 48,
"label": "",
"localized": "Stochastic Noise Injection",
"reload": "n/a",
"hint": "Introduces supplemental Gaussian noise to enhance micro-detail synthesis."
},
{
"id": 49,
"label": "",
"localized": "Stochastic Noise Decay",
"reload": "n/a",
"hint": "Defines the terminal temporal step for additive noise injection."
},
{
"id": 50,
"label": "",
"localized": "Loop X-Axis Tiling",
"reload": "n/a",
"hint": "Enables periodic continuity along the horizontal vector space."
},
{
"id": 51,
"label": "",
"localized": "Loop Y-Axis Tiling",
"reload": "n/a",
"hint": "Enables periodic continuity along the vertical vector space."
},
{
"id": 52,
"label": "",
"localized": "Re-Swap Modular Architecture",
"reload": "n/a",
"hint": "Swaps the active model for the face-swapping pipeline."
},
{
"id": 53,
"label": "",
"localized": "Preserve Original Manifold",
"reload": "n/a",
"hint": "Ensures the retention of source image data after processing loops."
},
{
"id": 54,
"label": "",
"localized": "Step-wise Restart",
"reload": "n/a",
"hint": "Defines the temporal index at which the process restarts the chain."
},
{
"id": 55,
"label": "",
"localized": "Reconstitute Pipeline Post-End",
"reload": "n/a",
"hint": "Restores primary pipeline state after completion of the current task."
},
{
"id": 56,
"label": "",
"localized": "Entropy Reset Loopback",
"reload": "n/a",
"hint": "Randomizes the noise seed after every individual iterative cycle."
},
{
"id": 57,
"label": "",
"localized": "Stochastic Seed Matrix",
"reload": "n/a",
"hint": "Generates a permutation matrix of random seeds for the prompt grid."
},
{
"id": 58,
"label": "",
"localized": "Reconstitute Pipeline Post-End",
"reload": "n/a",
"hint": "Restores the primary pipeline configuration after task conclusion."
},
{
"id": 59,
"label": "",
"localized": "Dimensional Rows",
"reload": "n/a",
"hint": "Defines the number of rows in the output grid matrix."
},
{
"id": 60,
"label": "",
"localized": "Repetition Impedance",
"reload": "n/a",
"hint": "Applies a penalty coefficient to tokens currently present in the prompt/output vector to mitigate semantic looping."
},
{
"id": 61,
"label": "",
"localized": "Redux Prompt Intensity",
"reload": "n/a",
"hint": "Controls the relative weight of the prompt strength in the Flux conditioning pass."
},
{
"id": 62,
"label": "",
"localized": "Right-side Vector",
"reload": "n/a",
"hint": "Defines the directional bias for right-hand outpainting."
},
{
"id": 63,
"label": "",
"localized": "Reference Query Weighting",
"reload": "n/a",
"hint": "Adjusts the influence coefficient of the query vector from the reference model."
},
{
"id": 64,
"label": "",
"localized": "Reference ADAIN Weighting",
"reload": "n/a",
"hint": "Modulates the intensity of Adaptive Instance Normalization during the reference injection pass."
},
{
"id": 65,
"label": "",
"localized": "Refine Upscaler Module",
"reload": "n/a",
"hint": "Selects the secondary super-resolution model for post-initial upscaling."
},
{
"id": 66,
"label": "",
"localized": "Refine Foreground Masking",
"reload": "n/a",
"hint": "Selects the methodology for foreground refinement isolation."
},
{
"id": 67,
"label": "",
"localized": "Recursive Subdirectory Scan",
"reload": "n/a",
"hint": "Activates deep-path traversal to process images nested within subordinate directory structures."
},
{
"id": 68,
"label": "",
"localized": "Rebase System Path",
"reload": "n/a",
"hint": "Synchronizes the system paths to the base repository."
},
{
"id": 69,
"label": "",
"localized": "Repository Registry",
"reload": "n/a",
"hint": "Catalog of linked git repositories."
},
{
"id": 70,
"label": "",
"localized": "Refiner Model Anchor",
"reload": "n/a",
"hint": "Designates the primary weight file utilized for secondary diffusion passes."
},
{
"id": 71,
"label": "",
"localized": "Log Torch Stream Activity",
"reload": "n/a",
"hint": "Commences verbose telemetry logging of PyTorch tensor streams."
},
{
"id": 72,
"label": "",
"localized": "Remote VAE Identity",
"reload": "n/a",
"hint": "Defines the data format for VAE (Variational AutoEncoder) encoded images over remote links."
},
{
"id": 73,
"label": "",
"localized": "Remote VAE Encoder",
"reload": "n/a",
"hint": "Directs encoding tasks to the specified remote VAE server cluster."
},
{
"id": 74,
"label": "",
"localized": "RAS State Toggle",
"reload": "n/a",
"hint": "Enables or disables Region-Adaptive Sampling algorithms."
},
{
"id": 75,
"label": "",
"localized": "Reduce-Overhead Mode",
"reload": "n/a",
"hint": "Optimizes the compilation graph to minimize computational latency."
},
{
"id": 76,
"label": "",
"localized": "Repeated-Kernel Execution",
"reload": "n/a",
"hint": "Enables optimized execution of repeated kernel operations."
},
{
"id": 77,
"label": "",
"localized": "Model Root Path",
"reload": "n/a",
"hint": "Establishes the absolute filesystem root for all model assets."
},
{
"id": 78,
"label": "",
"localized": "Background Rescaling Color",
"reload": "n/a",
"hint": "Defines the hex-value background padding color used during resizing operations."
},
{
"id": 79,
"label": "",
"localized": "Suppress Meta-Data Params",
"reload": "n/a",
"hint": "Forces the override of default behavior; ignores parameters embedded in source metadata."
},
{
"id": 80,
"label": "",
"localized": "Suppress Meta-Data Settings",
"reload": "n/a",
"hint": "Forces the override of default behavior; ignores system settings embedded in source metadata."
},
{
"id": 81,
"label": "",
"localized": "Request Queue Status",
"reload": "n/a",
"hint": "Queries the status of pending asynchronous requests to HuggingFace."
},
{
"id": 82,
"label": "",
"localized": "Rust Binary Linkage",
"reload": "n/a",
"hint": "Configures the Rust runtime path for HuggingFace backend integration."
},
{
"id": 83,
"label": "",
"localized": "Restore Raw Prompt Tokens",
"reload": "n/a",
"hint": "Reinstates the original, unparsed prompt string from the input cache."
},
{
"id": 84,
"label": "",
"localized": "Recycle Model Cache",
"reload": "n/a",
"hint": "Attempts to reuse the dictionary of currently loaded model weights to minimize load-time latency."
},
{
"id": 85,
"label": "",
"localized": "ReBasin Permutation",
"reload": "n/a",
"hint": "Executes a multi-stage model fusion protocol utilizing permutation matrices to unify feature weights from multiple sources."
},
{
"id": 86,
"label": "",
"localized": "Swap VAE Manifold",
"reload": "n/a",
"hint": "Substitutes the Variational AutoEncoder weights during the merge process."
},
{
"id": 87,
"label": "",
"localized": "Reference Unit 01",
"reload": "n/a",
"hint": "Initial primary reference unit input channel."
}
],
"s": [
{
"id": 1,
"label": "Sampler",
"localized": "Heuristic Latent Distillation Protocol",
"reload": "n/a",
"hint": "Neural stochastic iteration parameters. Orchestrates the transmogrification of high-entropy white noise vectors into coherent manifold projections via iterative denoising recursion."
},
{
"id": 2,
"label": "Scripts",
"localized": "Macro-Execution Subroutines",
"reload": "n/a",
"hint": "Injects auxiliary algorithmic logic hooks into the primary generative computation pipeline."
},
{
"id": 3,
"label": "Scale",
"localized": "Tensor Magnification Factor",
"reload": "n/a",
"hint": "Interpolates the pixel lattice to target dimensional metrics. Overrides static width/height constraints if non-zero."
},
{
"id": 4,
"label": "Swap X/Y",
"localized": "Transpose Cartesian Matrices",
"reload": "n/a",
"hint": "Inverts the primary procedural iteration axes."
},
{
"id": 5,
"label": "Swap Y/Z",
"localized": "Transpose Lateral-Depth Matrices",
"reload": "n/a",
"hint": "Inverts the secondary procedural iteration axes."
},
{
"id": 6,
"label": "Swap X/Z",
"localized": "Transpose Transverse-Depth Matrices",
"reload": "n/a",
"hint": "Inverts the tertiary procedural iteration axes."
},
{
"id": 7,
"label": "Set prompt",
"localized": "Initialize Prompt Buffer",
"reload": "n/a",
"hint": "Flushes and overwrites the primary latent encoding buffer with enhanced token vectors."
},
{
"id": 8,
"label": "Skip",
"localized": "Vector Stream Abort",
"reload": "n/a",
"hint": "Terminates current inference epoch and cycles to the next queue directive."
},
{
"id": 9,
"label": "Stop",
"localized": "Signal Interruption",
"reload": "n/a",
"hint": "Triggers immediate cessation of the GPU inference cycle."
},
{
"id": 10,
"label": "Save",
"localized": "Archive Persistence",
"reload": "n/a",
"hint": "Commits binary buffer data to long-term storage medium."
},
{
"id": 11,
"label": "Sketch",
"localized": "Heuristic Vector Trace",
"reload": "n/a",
"hint": "Initiates low-fidelity vector tracing for initial manifold approximation."
},
{
"id": 12,
"label": "Size & Inputs",
"localized": "Resolution & Vector Feed",
"reload": "n/a",
"hint": "Configures the dimensions of the generation raster and auxiliary sensory data input streams."
},
{
"id": 13,
"label": "Set receipe",
"localized": "Inject Protocol Template",
"reload": "n/a",
"hint": "Assigns predefined procedural parameters to the active inference session."
},
{
"id": 14,
"label": "Scale by",
"localized": "Magnification Multiplier",
"reload": "n/a",
"hint": "Upsamples source pixel-arrays via localized scaling coefficients."
},
{
"id": 15,
"label": "Scale to",
"localized": "Normalize Target Resolution",
"reload": "n/a",
"hint": "Resamples source arrays into fixed dimensional coordinate bounds."
},
{
"id": 16,
"label": "Server Info",
"localized": "Host Telemetry",
"reload": "n/a",
"hint": "Diagnostic overview of server-side operational states."
},
{
"id": 17,
"label": "Settings",
"localized": "Configuration Matrix",
"reload": "n/a",
"hint": "Global application state and parameter modification center."
},
{
"id": 18,
"label": "System",
"localized": "System Core",
"reload": "n/a",
"hint": "Hardware environment settings and low-level diagnostic data."
},
{
"id": 19,
"label": "Shutdown server",
"localized": "Terminate Host Instance",
"reload": "n/a",
"hint": "Graceful deactivation of the operational daemon."
},
{
"id": 20,
"label": "Start profiling",
"localized": "Initiate Diagnostic Tracing",
"reload": "n/a",
"hint": "Starts active monitoring and performance logging of computational throughput."
},
{
"id": 21,
"label": "System Info",
"localized": "System Diagnostics",
"reload": "n/a",
"hint": "Comprehensive hardware and environment telemetry report."
},
{
"id": 22,
"label": "Set UI defaults",
"localized": "Reset Interface Defaults",
"reload": "n/a",
"hint": "Commits current state-variables as the global initialization baseline."
},
{
"id": 23,
"label": "Set UI menu states",
"localized": "Initialize Menu Hierarchies",
"reload": "n/a",
"hint": "Configures the default state-persistence of UI dropdowns and expandables."
},
{
"id": 24,
"label": "Send interrupt",
"localized": "Transmit SIGTERM",
"reload": "n/a",
"hint": "Dispatches an interruption signal to the worker threads."
},
{
"id": 25,
"label": "Submit results",
"localized": "Commit Batch Output",
"reload": "n/a",
"hint": "Finalizes and pushes current operational batch results to output buffers."
},
{
"id": 26,
"label": "Server Settings",
"localized": "Daemon Configuration",
"reload": "n/a",
"hint": "Parameters governing the backend process life-cycle."
},
{
"id": 27,
"label": "System Paths",
"localized": "Directory Mapping",
"reload": "n/a",
"hint": "Configures logical file system pointers for model assets and storage nodes."
},
{
"id": 28,
"label": "Show all pages",
"localized": "Expose All Interfaces",
"reload": "n/a",
"hint": "Renders the full administrative view layer."
},
{
"id": 29,
"label": "Save model",
"localized": "Persist Model Weights",
"reload": "n/a",
"hint": "Commits the current model state into checkpoint format."
},
{
"id": 30,
"label": "Scan missing",
"localized": "Analyze Asset Integrity",
"reload": "n/a",
"hint": "Initiates a recursive search for non-indexed model dependencies."
},
{
"id": 31,
"label": "Save receipe",
"localized": "Export Protocol Configuration",
"reload": "n/a",
"hint": "Dumps the current procedural parameters to a storage schema."
},
{
"id": 32,
"label": "Simple Merge",
"localized": "Unary Weight Integration",
"reload": "n/a",
"hint": "Performs basic weighted summation of model parameter tensors."
},
{
"id": 33,
"label": "Style",
"localized": "Stylistic Modulation",
"reload": "n/a",
"hint": "Injects supplementary bias layers into the generation manifold."
},
{
"id": 34,
"label": "SD 1.5",
"localized": "Stable Diffusion v1.5 Engine",
"reload": "n/a",
"hint": "Targeting legacy 1.5 architecture protocols."
},
{
"id": 35,
"label": "SD XL",
"localized": "Stable Diffusion XL Engine",
"reload": "n/a",
"hint": "Targeting high-fidelity XL architecture protocols."
},
{
"id": 36,
"label": "Start",
"localized": "Initialize Sequence",
"reload": "n/a",
"hint": "Begins the computation pipeline."
},
{
"id": 37,
"label": "Select",
"localized": "Choose Selection",
"reload": "n/a",
"hint": "Interface for selecting style modifiers."
},
{
"id": 38,
"label": "Size",
"localized": "Output Dimensions",
"reload": "n/a",
"hint": "Configures total viewport resolution."
},
{
"id": 39,
"label": "Size & Batch",
"localized": "Dimension & Throughput",
"reload": "n/a",
"hint": "Configures spatial resolution and quantity of generation cycles."
},
{
"id": 40,
"label": "Seed",
"localized": "Entropy Origin",
"reload": "n/a",
"hint": "Initial numeric state for random noise generation."
},
{
"id": 41,
"label": "Script",
"localized": "Execution Module",
"reload": "n/a",
"hint": "Selects custom Python hooks for generative post-processing."
},
{
"id": 42,
"label": "Stable Diffusion 3.x",
"localized": "Stable Diffusion 3.x Engine",
"reload": "n/a",
"hint": "Targeting SD3 architecture protocols."
},
{
"id": 43,
"label": "SDNQ: SD.Next Quantization",
"localized": "SDNQ: Precision Compression",
"reload": "n/a",
"hint": "Configuration for tensor weight bit-depth reduction."
},
{
"id": 44,
"label": "Save Options",
"localized": "Persistence Preferences",
"reload": "n/a",
"hint": "Configures output formatting and directory hierarchies."
},
{
"id": 45,
"label": "Startup & Server Options",
"localized": "Init & Daemon Parameters",
"reload": "n/a",
"hint": "Initialization sequence configuration."
},
{
"id": 46,
"label": "SeedVR",
"localized": "Entropy Virtualized Reality",
"reload": "n/a",
"hint": "Processing parameters for spatialized entropy."
},
{
"id": 47,
"label": "Styles",
"localized": "Stylistic Overlays",
"reload": "n/a",
"hint": "Manages libraries of prompt modifier presets."
},
{
"id": 48,
"label": "Search & Download",
"localized": "Query & Fetch",
"reload": "n/a",
"hint": "Interface for external repository asset retrieval."
},
{
"id": 49,
"label": "Server log",
"localized": "Daemon Event Stream",
"reload": "n/a",
"hint": "Real-time output stream of backend events."
},
{
"id": 50,
"label": "Steps",
"localized": "Iterative Cycles",
"reload": "n/a",
"hint": "Total number of denoising recursive refinements. Increased values converge toward higher latent precision."
},
{
"id": 51,
"label": "Sampling method",
"localized": "Denoising Algorithm",
"reload": "n/a",
"hint": "The mathematical solver kernel responsible for image synthesis."
},
{
"id": 52,
"label": "Sigma method",
"localized": "Noise Distribution Schedule",
"reload": "n/a",
"hint": "Governs the decay curve of signal-to-noise ratio across steps. Karras optimizes high-frequency convergence."
},
{
"id": 53,
"label": "Sigma adjust",
"localized": "Noise Schedule Offset",
"reload": "n/a",
"hint": "Modifies the base noise distribution value."
},
{
"id": 54,
"label": "Sampler order",
"localized": "Solver Complexity",
"reload": "n/a",
"hint": "Higher-order Taylor expansion logic for solving differential equations; increases precision, increases compute cost."
},
{
"id": 55,
"label": "SLG scale",
"localized": "Skip-Layer Guidance Intensity",
"reload": "n/a",
"hint": "Controls magnitude of skip-layer latent steering."
},
{
"id": 56,
"label": "SLG start",
"localized": "Skip-Layer Guidance Onset",
"reload": "n/a",
"hint": "Step index where guidance signal initiates."
},
{
"id": 57,
"label": "SLG stop",
"localized": "Skip-Layer Guidance Termination",
"reload": "n/a",
"hint": "Step index where guidance signal terminates."
},
{
"id": 58,
"label": "SLG layers",
"localized": "Skip-Layer Depth",
"reload": "n/a",
"hint": "Specifies the depth of U-Net layers to be guided."
},
{
"id": 59,
"label": "SLG config",
"localized": "Skip-Layer Parameters",
"reload": "n/a",
"hint": "Advanced configuration for layer skipping."
},
{
"id": 60,
"label": "SEG scale",
"localized": "Semantic Entropy Guidance",
"reload": "n/a",
"hint": "Controls the magnitude of semantic entropy steering."
},
{
"id": 61,
"label": "SEG blur sigma",
"localized": "Semantic Blur Radius",
"reload": "n/a",
"hint": "Governs the spatial variance of the semantic filter."
},
{
"id": 62,
"label": "SEG blur threshold inf",
"localized": "Semantic Cutoff Threshold",
"reload": "n/a",
"hint": "The asymptotic limit for semantic filtering."
},
{
"id": 63,
"label": "SEG start",
"localized": "Semantic Onset",
"reload": "n/a",
"hint": "Step index for semantic guidance initiation."
},
{
"id": 64,
"label": "SEG stop",
"localized": "Semantic Termination",
"reload": "n/a",
"hint": "Step index for semantic guidance cessation."
},
{
"id": 65,
"label": "SEG layers",
"localized": "Semantic Depth Scope",
"reload": "n/a",
"hint": "Scope of semantic filtering in model layers."
},
{
"id": 66,
"label": "SEG config",
"localized": "Semantic Configuration",
"reload": "n/a",
"hint": "Settings for semantic entropy modulation."
},
{
"id": 67,
"label": "Strength",
"localized": "Latent Alteration Index",
"reload": "n/a",
"hint": "Governs the degree of divergence from the initial input tensor."
},
{
"id": 68,
"label": "Sort detections",
"localized": "Reorder Bounding Boxes",
"reload": "n/a",
"hint": "Sorts detected features by coordinate position."
},
{
"id": 69,
"label": "Saturation",
"localized": "Color Chroma Amplitude",
"reload": "n/a",
"hint": "Amplify color intensity channels. Values > 1.0 hyper-saturate, < 0.0 attenuate toward monochrome."
},
{
"id": 70,
"label": "Sharpness",
"localized": "Frequency Contrast Gain",
"reload": "n/a",
"hint": "Enhances high-frequency detail via kernel-based unsharp masking."
},
{
"id": 71,
"label": "Shadows",
"localized": "Dark-Region Luminance",
"reload": "n/a",
"hint": "Manipulates the low-end of the tonal spectrum via Lab color space weighted masking."
},
{
"id": 72,
"label": "Shadows tint",
"localized": "Low-Key Chromatic Offset",
"reload": "n/a",
"hint": "Applies split-toning color bias to shadows."
},
{
"id": 73,
"label": "Split tone balance",
"localized": "Crossover Modulation",
"reload": "n/a",
"hint": "Determines the crossover point between shadow and highlight interpolation curves."
},
{
"id": 74,
"label": "Subject",
"localized": "Primary Focus Node",
"reload": "n/a",
"hint": "The central object reference for consistory pipelines."
},
{
"id": 75,
"label": "Same latent",
"localized": "Persistent Noise Matrix",
"reload": "n/a",
"hint": "Locks the stochastic initialization seed for structural continuity."
},
{
"id": 76,
"label": "Share queries",
"localized": "Global Request Bus",
"reload": "n/a",
"hint": "Propagates semantic query tokens across nodes."
},
{
"id": 77,
"label": "Sigma",
"localized": "Noise Magnitude",
"reload": "n/a",
"hint": "Primary noise variance control."
},
{
"id": 78,
"label": "Stride",
"localized": "Vector Displacement",
"reload": "n/a",
"hint": "Spatial displacement step for demofusion processing."
},
{
"id": 79,
"label": "Structure",
"localized": "Geometric Constraint",
"reload": "n/a",
"hint": "Maintains facial or structural alignment via pose-detection masks."
},
{
"id": 80,
"label": "Save HDR image",
"localized": "Persist Radiance Map",
"reload": "n/a",
"hint": "Exports output as high-dynamic-range pixel data."
},
{
"id": 81,
"label": "Scale factor",
"localized": "Upsampling Coefficient",
"reload": "n/a",
"hint": "Ratio for resolution enlargement."
},
{
"id": 82,
"label": "Strength curve",
"localized": "Denoising Decay Function",
"reload": "n/a",
"hint": "Non-linear mapping of denoising strength over iterative steps."
},
{
"id": 83,
"label": "Slider",
"localized": "Linear Input Vector",
"reload": "n/a",
"hint": "Adjusts a continuous floating-point parameter."
},
{
"id": 84,
"label": "Set at prompt start",
"localized": "Immediate Trigger",
"reload": "n/a",
"hint": "Executes parameter injection at the genesis of the prompt string."
},
{
"id": 85,
"label": "space",
"localized": "Padding Token",
"reload": "n/a",
"hint": "Token-space separator."
},
{
"id": 86,
"label": "Skip guidance layers",
"localized": "Bypass Guidance Modules",
"reload": "n/a",
"hint": "Disables latent guidance for specific neural layers."
},
{
"id": 87,
"label": "Shared options",
"localized": "Global Parameter Pool",
"reload": "n/a",
"hint": "Synchronization of parameters across image generation sub-processes."
},
{
"id": 88,
"label": "Shift",
"localized": "Tensor Bias Shift",
"reload": "n/a",
"hint": "Adjusts the centroid of latent value distributions."
},
{
"id": 89,
"label": "Spatial frequency",
"localized": "Waveform Frequency",
"reload": "n/a",
"hint": "Adjusts the temporal-spatial frequency of video generation."
},
{
"id": 90,
"label": "Save as copy",
"localized": "Duplicate Archive",
"reload": "n/a",
"hint": "Writes binary data to secondary storage slot."
},
{
"id": 91,
"label": "Sensitivity",
"localized": "Threshold Responsiveness",
"reload": "n/a",
"hint": "Governs detector trigger sensitivity."
},
{
"id": 92,
"label": "System prompt",
"localized": "Core System Directive",
"reload": "n/a",
"hint": "The immutable system-level instruction set governing LLM behavior."
},
{
"id": 93,
"label": "Source subject",
"localized": "Reference Node",
"reload": "n/a",
"hint": "The primary subject ID used for BLIP diffusion mapping."
},
{
"id": 94,
"label": "Smooth mask",
"localized": "Gauss-Kernel Mask Interpolation",
"reload": "n/a",
"hint": "Applies a smoothing kernel to binary input masks."
},
{
"id": 95,
"label": "Scale after",
"localized": "Post-Generation Resizing",
"reload": "n/a",
"hint": "Upscaling triggered post-inference."
},
{
"id": 96,
"label": "Scale mask",
"localized": "Spatial Mask Amplification",
"reload": "n/a",
"hint": "Resizes input masking regions."
},
{
"id": 97,
"label": "Show input",
"localized": "Visualize Input Buffer",
"reload": "n/a",
"hint": "Renders raw input tensors for inspection."
},
{
"id": 98,
"label": "Show preview",
"localized": "Visualize Latent Projection",
"reload": "n/a",
"hint": "Renders transient denoising steps to the UI viewport."
},
{
"id": 99,
"label": "Separate init image",
"localized": "Isolate Init Source",
"reload": "n/a",
"hint": "Allocates a dedicated buffer channel for input imagery, bypassing control-net collision."
},
{
"id": 100,
"label": "Skip input frames",
"localized": "Frame Decimation",
"reload": "n/a",
"hint": "Drops input frames based on modulo stride."
},
{
"id": 101,
"label": "Style fidelity",
"localized": "Stylistic Preservation Index",
"reload": "n/a",
"hint": "Governs the strictness of style adherence against input references."
},
{
"id": 102,
"label": "Scribble",
"localized": "Sketch-to-Map",
"reload": "n/a",
"hint": "Activates scribble-based spatial conditioning."
},
{
"id": 103,
"label": "Score threshold",
"localized": "Minimum Relevance Metric",
"reload": "n/a",
"hint": "Filters detection events based on confidence scoring."
},
{
"id": 104,
"label": "Sampler shift",
"localized": "Solver Latent Offset",
"reload": "n/a",
"hint": "Injects bias into sampler scheduling."
},
{
"id": 105,
"label": "Save output",
"localized": "Output Commit",
"reload": "n/a",
"hint": "Persists generated output stream."
},
{
"id": 106,
"label": "Show result images",
"localized": "Render Output Gallery",
"reload": "n/a",
"hint": "Renders generated assets to the UI canvas."
},
{
"id": 107,
"label": "Save Caption Files",
"localized": "Serialize Meta-Description",
"reload": "n/a",
"hint": "Writes image descriptive data to external text blocks."
},
{
"id": 108,
"label": "Sort alphabetically",
"localized": "Lexicographical Sort",
"reload": "n/a",
"hint": "Sorts taxonomy tags via ASCII values."
},
{
"id": 109,
"label": "Show confidence scores",
"localized": "Display Relevance Metrics",
"reload": "n/a",
"hint": "Displays the statistical probability index for each tag."
},
{
"id": 110,
"label": "Search",
"localized": "Find",
"reload": "n/a",
"hint": "Query search interface."
},
{
"id": 111,
"label": "Sort by",
"localized": "Order Strategy",
"reload": "n/a",
"hint": "Defines the criteria for sorting results."
},
{
"id": 112,
"label": "Specific branch name",
"localized": "Repo Branch Identifier",
"reload": "n/a",
"hint": "Targets a specific Git repository branch."
},
{
"id": 113,
"label": "Submodules",
"localized": "Recursive Repository Modules",
"reload": "n/a",
"hint": "Manages sub-dependency version control."
},
{
"id": 114,
"label": "Server start time",
"localized": "System Uptime",
"reload": "n/a",
"hint": "Timestamp of daemon initiation."
},
{
"id": 115,
"label": "State",
"localized": "Operational State",
"reload": "n/a",
"hint": "Current daemon process status."
},
{
"id": 116,
"label": "Search Docs",
"localized": "Query Knowledge Base",
"reload": "n/a",
"hint": "Interface for technical documentation retrieval."
},
{
"id": 117,
"label": "Search GitHub Wiki Pages",
"localized": "Query Wiki Repository",
"reload": "n/a",
"hint": "Interface for community-driven technical documentation."
},
{
"id": 118,
"label": "Search Changelog",
"localized": "Query Version History",
"reload": "n/a",
"hint": "Interface for revision history logs."
},
{
"id": 119,
"label": "Stage boundary ratio",
"localized": "Transition Threshold",
"reload": "n/a",
"hint": "Controls the boundary transition logic for multi-stage models."
},
{
"id": 120,
"label": "sequential",
"localized": "Linear Processing",
"reload": "n/a",
"hint": "Enforces serialized layer execution for low-VRAM constraints."
},
{
"id": 121,
"label": "SVD rank size",
"localized": "Singular Value Decomposition Dimensionality",
"reload": "n/a",
"hint": "Configures the compression matrix rank."
},
{
"id": 122,
"label": "SVD steps",
"localized": "SVD Iteration Cycles",
"reload": "n/a",
"hint": "Number of cycles for SVD approximation."
},
{
"id": 123,
"label": "Shuffle weights in post mode",
"localized": "Stochastic Weight Permutation",
"reload": "n/a",
"hint": "Applies random permutation to weight tensors for quantization stabilization."
},
{
"id": 124,
"label": "SDXL: Use weighted pooled embeds",
"localized": "SDXL: Embed-Pooling Bias",
"reload": "n/a",
"hint": "Enables weighted averaging of text encoder embeddings."
},
{
"id": 125,
"label": "Sana: Use complex human instructions",
"localized": "Sana: Heuristic Semantic Parsing",
"reload": "n/a",
"hint": "Enables high-level instruction-following for Sana architectures."
},
{
"id": 126,
"label": "Scaled-Dot-Product",
"localized": "Dot-Product Attention Optimization",
"reload": "n/a",
"hint": "Utilizes FlashAttention or equivalent kernels for computation efficiency. Note: non-deterministic output."
},
{
"id": 127,
"label": "Sage attention",
"localized": "Sage Optimization Kernel",
"reload": "n/a",
"hint": "Experimental attention acceleration framework. Potential for instability."
},
{
"id": 128,
"label": "stable-fast",
"localized": "Fast-Path Computation",
"reload": "n/a",
"hint": "Enables high-speed graph compilation."
},
{
"id": 129,
"label": "Save all generated images",
"localized": "Persist Full Batch",
"reload": "n/a",
"hint": "Forces write-to-disk for all inference outcomes."
},
{
"id": 130,
"label": "Save interrupted images",
"localized": "Persist Interrupted Frames",
"reload": "n/a",
"hint": "Saves incomplete latent states upon signal abortion."
},
{
"id": 131,
"label": "Save all generated image grids",
"localized": "Persist Montage Grids",
"reload": "n/a",
"hint": "Writes tiled visual collections to storage."
},
{
"id": 132,
"label": "Show metadata in full screen image browser",
"localized": "Expose Extended Image Header",
"reload": "n/a",
"hint": "Displays image generation metadata within the viewing utility."
},
{
"id": 133,
"label": "Save init images",
"localized": "Archive Initial Input",
"reload": "n/a",
"hint": "Preserves the seed-images for future tracing."
},
{
"id": 134,
"label": "Save image before hires",
"localized": "Archive Pre-Upscale State",
"reload": "n/a",
"hint": "Snapshots the latent buffer prior to resolution expansion."
},
{
"id": 135,
"label": "Save image before refiner",
"localized": "Archive Pre-Refinement State",
"reload": "n/a",
"hint": "Snapshots the latent buffer prior to secondary refinement pass."
},
{
"id": 136,
"label": "Save image before detailer",
"localized": "Archive Pre-Detailing State",
"reload": "n/a",
"hint": "Snapshots the latent buffer prior to detail enhancement pass."
},
{
"id": 137,
"label": "Save image before color correction",
"localized": "Archive Pre-Calibration State",
"reload": "n/a",
"hint": "Snapshots the pixel-array prior to color normalization."
},
{
"id": 138,
"label": "Save inpainting mask",
"localized": "Persist Mask Overlay",
"reload": "n/a",
"hint": "Archives the binary transparency mask used in inpainting."
},
{
"id": 139,
"label": "Save inpainting masked composite",
"localized": "Persist Composite Masked Output",
"reload": "n/a",
"hint": "Archives the masked region merged with the background context."
},
{
"id": 140,
"label": "Save images to a subdirectory",
"localized": "Route to Sub-Node",
"reload": "n/a",
"hint": "Organizes assets into timestamped or semantic child directories."
},
{
"id": 141,
"label": "Save metadata in image",
"localized": "Embed Metadata in Binary",
"reload": "n/a",
"hint": "Injects EXIF/PNG-info parameters directly into the image header."
},
{
"id": 142,
"label": "Save metadata to text file",
"localized": "Serialize Metadata to Text",
"reload": "n/a",
"hint": "Writes generation parameters to sidecar .txt files."
},
{
"id": 143,
"label": "Save metadata to JSON file",
"localized": "Serialize Metadata to JSON",
"reload": "n/a",
"hint": "Writes generation parameters to sidecar .json schemas."
},
{
"id": 144,
"label": "System information to include in metadata",
"localized": "Telemetry Injection Level",
"reload": "n/a",
"hint": "Defines the scope of system diagnostics to be included in image headers."
},
{
"id": 145,
"label": "Standard",
"localized": "Default Profile",
"reload": "n/a",
"hint": "Baseline operation profile."
},
{
"id": 146,
"label": "Show MOTD",
"localized": "Render Message of the Day",
"reload": "n/a",
"hint": "Displays administrative bulletin at startup."
},
{
"id": 147,
"label": "sidebar",
"localized": "Right-Pane UI Node",
"reload": "n/a",
"hint": "Docked interface element located on the viewport right-hand-side."
},
{
"id": 148,
"label": "Show log view",
"localized": "Display Event Log",
"reload": "n/a",
"hint": "Exposes the backend event console."
},
{
"id": 149,
"label": "Show grid in results",
"localized": "Render Montage View",
"reload": "n/a",
"hint": "Aggregates image outputs into a grid layout."
},
{
"id": 150,
"label": "Send seed when sending prompt or image to other interface",
"localized": "Propagate Entropy State",
"reload": "n/a",
"hint": "Transmits the noise-seed parameter across interface boundaries."
},
{
"id": 151,
"label": "Send size when sending prompt or image to another interface",
"localized": "Propagate Geometry State",
"reload": "n/a",
"hint": "Transmits dimensional data across interface boundaries."
},
{
"id": 152,
"label": "Show labels for aside tabs",
"localized": "Render Aside Labels",
"reload": "n/a",
"hint": "Displays text descriptors for side-docked UI tabs."
},
{
"id": 153,
"label": "Show labels for main tabs",
"localized": "Render Core Labels",
"reload": "n/a",
"hint": "Displays text descriptors for central UI tabs."
},
{
"id": 154,
"label": "Show labels for page tabs",
"localized": "Render Sub-Page Labels",
"reload": "n/a",
"hint": "Displays text descriptors for nested UI tabs."
},
{
"id": 155,
"label": "Show ticks for input range slider",
"localized": "Render Slider Tick-Marks",
"reload": "n/a",
"hint": "Displays precision markings for value-sliders."
},
{
"id": 156,
"label": "Show parameter outline",
"localized": "Render Parameter Bordering",
"reload": "n/a",
"hint": "Displays visual outlines for configuration input fields."
},
{
"id": 157,
"label": "Simple",
"localized": "Reduced-Fidelity VAE",
"reload": "n/a",
"hint": "High-speed approximation kernel. Reduces resolution 8x; optimizes throughput at the cost of precision."
},
{
"id": 158,
"label": "SeedVR CFG Scale",
"localized": "Entropy VR Guidance Intensity",
"reload": "n/a",
"hint": "Configuration for spatial guidance in VR mode."
},
{
"id": 159,
"label": "Sort order",
"localized": "Tag Sorting Logic",
"reload": "n/a",
"hint": "Configures the taxonomy sorting sequence."
},
{
"id": 160,
"label": "Skip CivitAI scan for regex pattern(s)",
"localized": "Bypass Asset Scanner Pattern",
"reload": "n/a",
"hint": "Excludes specific directory patterns from external repo scans."
},
{
"id": 161,
"label": "Show reference styles",
"localized": "Expose Build-in Stylistic Assets",
"reload": "n/a",
"hint": "Toggles visibility of static styling presets."
},
{
"id": 162,
"label": "Skip Generation if NaN found in latents",
"localized": "NaN-Check Abort Protocol",
"reload": "n/a",
"hint": "Halts generation if Floating-Point-Not-a-Number errors occur."
},
{
"id": 163,
"label": "Save grids to a subdirectory",
"localized": "Route Montage to Sub-Node",
"reload": "n/a",
"hint": "Organizes collection-grids into dedicated storage hierarchies."
},
{
"id": 164,
"label": "Show live previews",
"localized": "Render Transient Denoising",
"reload": "n/a",
"hint": "Streams latent visualization updates during generation."
},
{
"id": 165,
"label": "Save resumable optimizer state when training",
"localized": "Persist Checkpoint State",
"reload": "n/a",
"hint": "Saves training momentum buffers to disk for session resumption."
},
{
"id": 166,
"label": "Save training settings to a text file",
"localized": "Serialize Training Config",
"reload": "n/a",
"hint": "Writes the training hyperparameter matrix to a sidecar file."
},
{
"id": 167,
"label": "Show previews as a grid",
"localized": "Render Montage Previews",
"reload": "n/a",
"hint": "Aggregates live visualization into a montage layout."
},
{
"id": 168,
"label": "Show progressbar",
"localized": "Render Throughput Meter",
"reload": "n/a",
"hint": "Displays the iterative step completion percentage."
},
{
"id": 169,
"label": "Save generated images within tensorboard",
"localized": "Persist to TensorBoard",
"reload": "n/a",
"hint": "Streams generated assets into the TensorBoard visualization environment."
},
{
"id": 170,
"label": "Save loss CSV file every n steps",
"localized": "Serialize Loss Metrics",
"reload": "n/a",
"hint": "Periodically writes the objective-function loss error to CSV logs."
},
{
"id": 171,
"label": "Save images to a subdirectory when using Save button",
"localized": "Save-Action Sub-Directory Routing",
"reload": "n/a",
"hint": "Configures storage logic for manual save events."
},
{
"id": 172,
"label": "Secondary model",
"localized": "Secondary Weight-Matrix",
"reload": "n/a",
"hint": "Defines the secondary model for merging operations."
},
{
"id": 173,
"label": "SDXL",
"localized": "Stable Diffusion XL Model",
"reload": "n/a",
"hint": "StableDiffusion XL model architecture."
},
{
"id": 174,
"label": "Save metadata",
"localized": "Persist Header Data",
"reload": "n/a",
"hint": "Enables metadata inclusion in model checkpoints."
},
{
"id": 175,
"label": "safetensors",
"localized": "SafeTensors Format",
"reload": "n/a",
"hint": "Serializes model tensors into secure binary format."
},
{
"id": 176,
"label": "shuffle",
"localized": "Load-Permutation Merge",
"reload": "n/a",
"hint": "Memory-mapped tensor computation; balances VRAM/SystemRAM utilization. Optimizes SDXL merging."
},
{
"id": 177,
"label": "Save diffusers",
"localized": "Serialize Diffusers-Library",
"reload": "n/a",
"hint": "Exports model as a collection of diffuser-format files."
},
{
"id": 178,
"label": "Save safetensors",
"localized": "Serialize SafeTensors-Format",
"reload": "n/a",
"hint": "Exports model as a secure SafeTensors checkpoint."
},
{
"id": 179,
"label": "Sort",
"localized": "Sort Action",
"reload": "n/a",
"hint": "Trigger to order the repository view."
},
{
"id": 180,
"label": "Sort downloads into subfolders",
"localized": "Auto-Categorize Downloads",
"reload": "n/a",
"hint": "Organizes fetched assets into logical sub-directories."
},
{
"id": 181,
"label": "Subfolder template",
"localized": "Directory Naming Schema",
"reload": "n/a",
"hint": "Template string for auto-directory creation."
},
{
"id": 182,
"label": "Search models",
"localized": "Query Model Repository",
"reload": "n/a",
"hint": "Searches the model index."
},
{
"id": 183,
"label": "Select model",
"localized": "Choose Model Checkpoint",
"reload": "n/a",
"hint": "Selection interface for model binary loading."
},
{
"id": 184,
"label": "Specify model variant",
"localized": "Identify Model Iteration",
"reload": "n/a",
"hint": "Selects specific revision of a model checkpoint."
},
{
"id": 185,
"label": "Specify model revision",
"localized": "Identify Revision Hash",
"reload": "n/a",
"hint": "Selects specific git-hash revision of a model."
},
{
"id": 186,
"label": "SegmentAnything",
"localized": "Semantic Segmentation Processor",
"reload": "n/a",
"hint": "Utilizes SegmentAnything AI for mask generation."
},
{
"id": 187,
"label": "Sections",
"localized": "Segmentation Nodes",
"reload": "n/a",
"hint": "Configuration for video-segmentation temporal segments."
},
{
"id": 188,
"label": "Samplers",
"localized": "Denoising Solvers",
"reload": "n/a",
"hint": "High-level interface for sampler/scheduler management."
}
],
"t": [
{
"id": 1,
"label": "T2I",
"localized": "T2I",
"reload": "n/a",
"hint": "Instantiate visual data from lexical vectors<br>Legacy interface mimicking the primordial latent-to-pixel stream serialization"
},
{
"id": 2,
"label": "T2I Adapter",
"localized": "T2I Adapter Subroutine",
"reload": "n/a",
"hint": "Neural conditioning injection module"
},
{
"id": 3,
"label": "Tagger",
"localized": "Feature Extractor",
"reload": "n/a",
"hint": "Catalog visual nodes via anime-optimized latent manifold classification (WaifuDiffusion/DeepBooru protocols)."
},
{
"id": 4,
"label": "Tag",
"localized": "Tag",
"reload": "n/a",
"hint": "Execute token classification sequence."
},
{
"id": 5,
"label": "Text Encoder",
"localized": "Semantic Vectorizer",
"reload": "n/a",
"hint": "Configuration for natural language embedding matrix transformation during inference."
},
{
"id": 6,
"label": "Text",
"localized": "Text",
"reload": "n/a",
"hint": "Convert linguistic input into visual data structure."
},
{
"id": 7,
"label": "TorchAO",
"localized": "Torch Architecture Optimization",
"reload": "n/a",
"hint": "Apply accelerated quantization kernels for tensor throughput."
},
{
"id": 8,
"label": "TensorRT",
"localized": "TensorRT Engine",
"reload": "n/a",
"hint": "Enable NVIDIA high-performance graph compilation."
},
{
"id": 9,
"label": "Torch Options",
"localized": "Torch Compute Parameters",
"reload": "n/a",
"hint": "Back-end tensor arithmetic configuration."
},
{
"id": 10,
"label": "Token Merging",
"localized": "ToMe (Token Merge)",
"reload": "n/a",
"hint": "Collapse redundant latent patches to optimize compute cycles."
},
{
"id": 11,
"label": "TeaCache",
"localized": "TeaCache Temporal Cache",
"reload": "n/a",
"hint": "Minimize redundant calculation via latent state caching."
},
{
"id": 12,
"label": "Theme options",
"localized": "UI Shell Manifest",
"reload": "n/a",
"hint": "Visual framework skin configuration."
},
{
"id": 13,
"label": "Task History",
"localized": "Execution Audit Log",
"reload": "n/a",
"hint": "Chronological record of generated latent operations."
},
{
"id": 14,
"label": "Tone",
"localized": "Tone",
"reload": "n/a",
"hint": "Adjust color space luminance distribution."
},
{
"id": 15,
"label": "Timestep spacing",
"localized": "Diffusion Scheduler Interval",
"reload": "n/a",
"hint": "Define the cadence of the diffusion trajectory. Options:<br>- default: Vanilla model cadence<br>- leading: Linearized interval distribution<br>- linspace: Boundary-inclusive sampling<br>- trailing: Retrograde interval distribution"
},
{
"id": 16,
"label": "Timesteps presets",
"localized": "Scheduler Macros",
"reload": "n/a",
"hint": "Load predefined temporal sequencing templates."
},
{
"id": 17,
"label": "Timesteps override",
"localized": "Temporal Scalar Override",
"reload": "n/a",
"hint": "Forced manual control of diffusion iterations."
},
{
"id": 18,
"label": "thresholding",
"localized": "Dynamic Thresholding",
"reload": "n/a",
"hint": "Clamp latent activations to mitigate saturation artifacts."
},
{
"id": 19,
"label": "Tint strength",
"localized": "Chrominance Bias",
"reload": "n/a",
"hint": "Adjust spectral intensity bias."
},
{
"id": 20,
"label": "Texture tiling",
"localized": "Seamless Manifold Mapping",
"reload": "n/a",
"hint": "Apply torus-topology mapping for infinite pattern repetition."
},
{
"id": 21,
"label": "Threshold",
"localized": "Activation Ceiling",
"reload": "n/a",
"hint": "Define the cutoff for significance filtering."
},
{
"id": 22,
"label": "Trigger word",
"localized": "Activation Vector",
"reload": "n/a",
"hint": "Specific lexical key to unlock concept embedding."
},
{
"id": 23,
"label": "Temperature",
"localized": "Entropy Scalar",
"reload": "n/a",
"hint": "Increase stochastic variance in the generation manifold."
},
{
"id": 24,
"label": "Timestep",
"localized": "Temporal Index",
"reload": "n/a",
"hint": "Current coordinate within the diffusion decay process."
},
{
"id": 25,
"label": "Tile prompt: x=1 y=1",
"localized": "Tile Kernel [1,1]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [1,1]."
},
{
"id": 26,
"label": "Tile prompt: x=1 y=2",
"localized": "Tile Kernel [1,2]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [1,2]."
},
{
"id": 27,
"label": "Tile prompt: x=1 y=3",
"localized": "Tile Kernel [1,3]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [1,3]."
},
{
"id": 28,
"label": "Tile prompt: x=1 y=4",
"localized": "Tile Kernel [1,4]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [1,4]."
},
{
"id": 29,
"label": "Tile prompt: x=2 y=1",
"localized": "Tile Kernel [2,1]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [2,1]."
},
{
"id": 30,
"label": "Tile prompt: x=2 y=2",
"localized": "Tile Kernel [2,2]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [2,2]."
},
{
"id": 31,
"label": "Tile prompt: x=2 y=3",
"localized": "Tile Kernel [2,3]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [2,3]."
},
{
"id": 32,
"label": "Tile prompt: x=2 y=4",
"localized": "Tile Kernel [2,4]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [2,4]."
},
{
"id": 33,
"label": "Tile prompt: x=3 y=1",
"localized": "Tile Kernel [3,1]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [3,1]."
},
{
"id": 34,
"label": "Tile prompt: x=3 y=2",
"localized": "Tile Kernel [3,2]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [3,2]."
},
{
"id": 35,
"label": "Tile prompt: x=3 y=3",
"localized": "Tile Kernel [3,3]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [3,3]."
},
{
"id": 36,
"label": "Tile prompt: x=3 y=4",
"localized": "Tile Kernel [3,4]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [3,4]."
},
{
"id": 37,
"label": "Tile prompt: x=4 y=1",
"localized": "Tile Kernel [4,1]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [4,1]."
},
{
"id": 38,
"label": "Tile prompt: x=4 y=2",
"localized": "Tile Kernel [4,2]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [4,2]."
},
{
"id": 39,
"label": "Tile prompt: x=4 y=3",
"localized": "Tile Kernel [4,3]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [4,3]."
},
{
"id": 40,
"label": "Tile prompt: x=4 y=4",
"localized": "Tile Kernel [4,4]",
"reload": "n/a",
"hint": "Sub-region prompt injection for spatial segment [4,4]."
},
{
"id": 41,
"label": "Temporal frequency",
"localized": "Oscillation Rate",
"reload": "n/a",
"hint": "Set the sampling rate across the temporal domain."
},
{
"id": 42,
"label": "Top-K",
"localized": "Top-K Selection",
"reload": "n/a",
"hint": "Truncate token candidates to the K most probable activations.<br>Lower values induce deterministic convergence; higher values broaden probabilistic exploration.<br>0 = Full diversity mode."
},
{
"id": 43,
"label": "Top-P",
"localized": "Top-P Nucleus Sampling",
"reload": "n/a",
"hint": "Dynamically constrain token candidate set by cumulative probability mass (e.g., 0.9).<br>Adapts sample entropy based on confidence score.<br>1 = Linear probability mode."
},
{
"id": 44,
"label": "Thinking mode",
"localized": "Chain-of-Thought Engine",
"reload": "n/a",
"hint": "Activate autoregressive reasoning protocols to extend inference depth.<br>Increases computational latency for higher logic fidelity.<br>May require 'prefill' injection for specific LLM architectures like Qwen3-VL.<br><br>Compatible modules are designated by the  icon."
},
{
"id": 45,
"label": "Target subject",
"localized": "Objective Identity",
"reload": "n/a",
"hint": "Define the primary semantic anchor for diffusion."
},
{
"id": 46,
"label": "Tool",
"localized": "Tool",
"reload": "n/a",
"hint": "Select functional instrument."
},
{
"id": 47,
"label": "Textbox",
"localized": "Data Input Field",
"reload": "n/a",
"hint": "String injection buffer."
},
{
"id": 48,
"label": "Tile overlap",
"localized": "Kernel Stride Padding",
"reload": "n/a",
"hint": "Pixel-space intersection buffer to eliminate latent seam artifacts during reconstruction."
},
{
"id": 49,
"label": "T2I Strength",
"localized": "T2I Fidelity Coefficient",
"reload": "n/a",
"hint": "Control the magnitude of text-to-image influence."
},
{
"id": 50,
"label": "Time embedding mix",
"localized": "Temporal Interpolation Blend",
"reload": "n/a",
"hint": "Coefficient for embedding vector reconciliation."
},
{
"id": 51,
"label": "Tiling options",
"localized": "Torus Mapping Config",
"reload": "n/a",
"hint": "Configure texture coordinate wrapping."
},
{
"id": 52,
"label": "Tiny",
"localized": "Tiny",
"reload": "n/a",
"hint": "Minimalist operational footprint."
},
{
"id": 53,
"label": "True guidance",
"localized": "CFG-Verified Guidance",
"reload": "n/a",
"hint": "Enable Classifier-Free Guidance optimization."
},
{
"id": 54,
"label": "Tile frames",
"localized": "Temporal Tile Subdivision",
"reload": "n/a",
"hint": "Divide frame-space into processing tiles."
},
{
"id": 55,
"label": "Task",
"localized": "Heuristic Mode",
"reload": "n/a",
"hint": "Modify the inference subroutine. Default to <b>Use Prompt</b> for standard lexical synthesis.<br>Otherwise, consult the inline documentation for specialized operation protocols."
},
{
"id": 56,
"label": "Tagger Model",
"localized": "Classification Heuristic",
"reload": "n/a",
"hint": "Select model for semantic labeling.<br><b>WaifuDiffusion</b> (wd-*): Modern multi-threshold tagging.<br><b>DeepBooru</b>: Legacy heuristic thresholding."
},
{
"id": 57,
"label": "Torch",
"localized": "Torch",
"reload": "n/a",
"hint": "Compute framework initialization state."
},
{
"id": 58,
"label": "Transformers load using Run:ai streamer",
"localized": "Async Transformer Ingestion (Run:ai)",
"reload": "n/a",
"hint": "Stream weights directly to GPU memory."
},
{
"id": 59,
"label": "Temporal steps",
"localized": "Temporal Iteration Depth",
"reload": "n/a",
"hint": "Count of discretization intervals."
},
{
"id": 60,
"label": "TE",
"localized": "TE",
"reload": "n/a",
"hint": "Text Encoder quantization state."
},
{
"id": 61,
"label": "true",
"localized": "true",
"reload": "n/a",
"hint": "Boolean activation."
},
{
"id": 62,
"label": "Text encoder model",
"localized": "Vectorizer Architecture",
"reload": "n/a",
"hint": "Target model for linguistic token encoding."
},
{
"id": 63,
"label": "Text encoder cache size",
"localized": "Embedding RAM Allocation",
"reload": "n/a",
"hint": "Size of the reserved memory buffer for cached vectors."
},
{
"id": 64,
"label": "T5: Use shared instance of text encoder",
"localized": "T5 Shared Memory Pool",
"reload": "n/a",
"hint": "Enable instance pooling for T5 embedding modules."
},
{
"id": 65,
"label": "Tunable ops limit",
"localized": "Kernel Optimization Cap",
"reload": "n/a",
"hint": "Limit for dynamic kernel tuning."
},
{
"id": 66,
"label": "ToMe",
"localized": "ToMe",
"reload": "n/a",
"hint": "Token Merging acceleration engine."
},
{
"id": 67,
"label": "ToDo",
"localized": "ToDo",
"reload": "n/a",
"hint": "Deferred operation protocol."
},
{
"id": 68,
"label": "ToMe token merging ratio",
"localized": "ToMe Compression Ratio",
"reload": "n/a",
"hint": "Set the magnitude of patch consolidation via ToMe. (0 disables)"
},
{
"id": 69,
"label": "ToDo token merging ratio",
"localized": "ToDo Compression Ratio",
"reload": "n/a",
"hint": "Set the magnitude of patch consolidation via ToDo. (0 disables)"
},
{
"id": 70,
"label": "TaylorSeer",
"localized": "TaylorSeer",
"reload": "n/a",
"hint": "Taylor-expansion based latent visualization."
},
{
"id": 71,
"label": "TeaCache cache enabled",
"localized": "TeaCache Memory Persistence",
"reload": "n/a",
"hint": "Toggle state persistence for cached latents."
},
{
"id": 72,
"label": "TeaCache L1 threshold",
"localized": "TeaCache L1 Deviation",
"reload": "n/a",
"hint": "Sensitivity coefficient for L1-norm latent updates."
},
{
"id": 73,
"label": "TAESD",
"localized": "TAESD",
"reload": "n/a",
"hint": "Tiny AutoEncoder for Stable Diffusion (fast latent decoding)."
},
{
"id": 74,
"label": "TAESD variant",
"localized": "TAESD Model Revision",
"reload": "n/a",
"hint": "Select specific TAESD architecture revision."
},
{
"id": 75,
"label": "TAESD decode layers",
"localized": "TAESD Decoding Depth",
"reload": "n/a",
"hint": "Number of active reconstruction layers for TAESD."
},
{
"id": 76,
"label": "Tensorboard flush period",
"localized": "Telemetry Write Interval",
"reload": "n/a",
"hint": "Frequency of telemetry synchronization to logging stream."
},
{
"id": 77,
"label": "Tertiary model",
"localized": "Model C",
"reload": "n/a",
"hint": "Third weight vector for model merging arithmetic."
},
{
"id": 78,
"label": "Time period",
"localized": "Time Horizon",
"reload": "n/a",
"hint": "Metadata for temporal datasets."
},
{
"id": 79,
"label": "T2I-Adapter unit 1",
"localized": "Adapter Node 1",
"reload": "n/a",
"hint": "Primary control conditioning network instance."
},
{
"id": 80,
"label": "T2I-Adapter unit 2",
"localized": "Adapter Node 2",
"reload": "n/a",
"hint": "Secondary control conditioning network instance."
},
{
"id": 81,
"label": "T2I-Adapter unit 3",
"localized": "Adapter Node 3",
"reload": "n/a",
"hint": "Tertiary control conditioning network instance."
},
{
"id": 82,
"label": "T2I-Adapter unit 4",
"localized": "Adapter Node 4",
"reload": "n/a",
"hint": "Quaternary control conditioning network instance."
}
],
"u": [
{
"id": 1,
"label": "Unload model",
"localized": "De-initialize Neural Weights",
"reload": "null",
"hint": "Purge the currently active neural topography from VRAM volatile memory buffers"
},
{
"id": 2,
"label": "Upload",
"localized": "Data Stream Ingestion",
"reload": "null",
"hint": "Initialize packet transmission of local assets into the processing matrix"
},
{
"id": 3,
"label": "Unload",
"localized": "De-allocate",
"reload": "null",
"hint": "Sever link to currently instantiated module"
},
{
"id": 4,
"label": "Update all installed",
"localized": "Synchronize All Extensions",
"reload": "null",
"hint": "Initiate automated retrieval of latest binary patchsets for all integrated subsystems"
},
{
"id": 5,
"label": "Update",
"localized": "Synchronize",
"reload": "null",
"hint": "Commence handshake protocol to verify and retrieve latest repository state"
},
{
"id": 6,
"label": "User interface",
"localized": "Holographic Control Matrix",
"reload": "null",
"hint": "Calibrate and define parameters for the primary human-machine abstraction layer"
},
{
"id": 7,
"label": "Update all",
"localized": "Mass Synchronization",
"reload": "null",
"hint": "Trigger full-spectrum update cycle across all registered entities"
},
{
"id": 8,
"label": "UNet/DiT",
"localized": "UNet/DiT Architecture",
"reload": "null",
"hint": "Specify structural parameters for the denoising diffusion processing engine"
},
{
"id": 9,
"label": "Upscale",
"localized": "Super-Resolution Interpolation",
"reload": "null",
"hint": "Engage vector reconstruction algorithms to enhance pixel density and spatial resolution"
},
{
"id": 10,
"label": "UI Tabs",
"localized": "Control Matrix Navigation Modules",
"reload": "null",
"hint": "Specify active interface viewport channels"
},
{
"id": 11,
"label": "Upscaling",
"localized": "Upscaling Sub-Process",
"reload": "null",
"hint": "Configure parameters for algorithmic spatial reconstruction"
},
{
"id": 12,
"label": "Use segmentation",
"localized": "Engage Spatial Segmentation Matrix",
"reload": "null",
"hint": "Execute precision focal masking using pre-computed boundary tensors"
},
{
"id": 13,
"label": "Unload adapter",
"localized": "Purge Adapter Weights",
"reload": "null",
"hint": "Flush IP adapter neural state from memory buffer immediately post-inference to prevent persistent contamination"
},
{
"id": 14,
"label": "Use same seed",
"localized": "Lock Entropy Baseline",
"reload": "null",
"hint": "Maintain constant seed vector for deterministic output generation"
},
{
"id": 15,
"label": "Use defaults",
"localized": "Restore Factory Configuration",
"reload": "null",
"hint": "Reset parameters to baseline hardcoded initialization state"
},
{
"id": 16,
"label": "Use text inputs",
"localized": "Parse Semantic Input Streams",
"reload": "null",
"hint": "Initialize processing of external lexical data strings"
},
{
"id": 17,
"label": "Use random seeds",
"localized": "Inject Stochastic Noise",
"reload": "null",
"hint": "Enable dynamic randomization of the initial entropy vector"
},
{
"id": 18,
"label": "Use vision",
"localized": "Engage Computer Vision Analysis",
"reload": "null",
"hint": "Integrate optical sensor input data into the heuristic refinement sequence.<br><br>Exclusive feature for vision-optimized neural architectures, denoted by the  nexus icon."
},
{
"id": 19,
"label": "Use samplers",
"localized": "Engage Probabilistic Samplers",
"reload": "null",
"hint": "Activate stochastic token acquisition (randomized selection based on Top-k/Top-p telemetry) or utilize greedy decoders (deterministic selection of high-probability tokens).<br>Activation increases output variance and heuristic creativity at the cost of deterministic output."
},
{
"id": 20,
"label": "Unload after processing",
"localized": "Flush Memory Post-Cycle",
"reload": "null",
"hint": "Automatically de-allocate assets from the processing heap following inference completion"
},
{
"id": 21,
"label": "up",
"localized": "Up",
"reload": "null",
"hint": "Vector direction: Positive Y-axis"
},
{
"id": 22,
"label": "Upscaler",
"localized": "Super-Resolution Algorithm",
"reload": "null",
"hint": "Select the pre-trained neural architecture responsible for spatial density expansion."
},
{
"id": 23,
"label": "Units",
"localized": "Metric Quantification",
"reload": "null",
"hint": "Define the standard unit system for coordinate calculation"
},
{
"id": 24,
"label": "Unload processor",
"localized": "De-allocate Processing Core",
"reload": "null",
"hint": "Release compute resources utilized by the current processing module"
},
{
"id": 25,
"label": "Use spaces",
"localized": "Render Lexical Delimiters",
"reload": "null",
"hint": "Translate underscore separators into white-space buffers within tag output strings.<br>Distinct prompt processing protocols vary in preference between whitespace buffers (e.g., 'long hair') and underscore joins (e.g., 'long_hair')."
},
{
"id": 26,
"label": "Username",
"localized": "Operator Designation",
"reload": "null",
"hint": "Establish the unique identification string for the current session operator"
},
{
"id": 27,
"label": "UNET model",
"localized": "UNET Core Engine",
"reload": "null",
"hint": "Define the primary UNET neural weight repository"
},
{
"id": 28,
"label": "Use torch streams",
"localized": "Enable PyTorch Asynchronous Streaming",
"reload": "null",
"hint": "Utilize concurrent torch execution pipelines for computational efficiency"
},
{
"id": 29,
"label": "Use SVD quantization",
"localized": "Apply Singular Value Decomposition Compression",
"reload": "null",
"hint": "Optimize neural density using SVD tensor reduction protocols"
},
{
"id": 30,
"label": "Use Dynamic quantization",
"localized": "Enable Adaptive Bit-Depth Quantization",
"reload": "null",
"hint": "Activate real-time tensor value normalization to reduce bit-width footprint"
},
{
"id": 31,
"label": "Use quantized MatMul",
"localized": "Optimize Matrix Multiplication Tensors",
"reload": "null",
"hint": "Force execution of accelerated, reduced-precision matrix algebra kernels"
},
{
"id": 32,
"label": "Use quantized MatMul with conv",
"localized": "Hybrid Convolutional/Matrix Quantization",
"reload": "null",
"hint": "Integrate reduced-precision convolution kernels into matrix algebra operations"
},
{
"id": 33,
"label": "Use line break as prompt segment marker",
"localized": "Utilize Newline Delimiters for Vector Chunking",
"reload": "null",
"hint": "Parse line breaks as hard stops for lexical segmentation"
},
{
"id": 34,
"label": "Use zeros for prompt padding",
"localized": "Inject Null Padding Tensors",
"reload": "null",
"hint": "Force absolute zero-value tensors during padding to eliminate residual signal noise"
},
{
"id": 35,
"label": "Upcast sampling",
"localized": "Elevation of Floating-Point Precision",
"reload": "null",
"hint": "Up-sample precision during sampling cycles; achieves parity with --no-half protocols with optimized memory allocation"
},
{
"id": 36,
"label": "Unset",
"localized": "Nullify Assignment",
"reload": "null",
"hint": "Clear the currently defined configuration variable"
},
{
"id": 37,
"label": "UI save only saves selected image",
"localized": "Restrict Storage to Active Selection",
"reload": "null",
"hint": "Filter storage protocols to capture only the user-designated focal artifact"
},
{
"id": 38,
"label": "Use image gallery cache",
"localized": "Enable Visual Asset Caching",
"reload": "null",
"hint": "Buffer imagery in local high-speed storage for rapid retrieval"
},
{
"id": 39,
"label": "Use fixed width thumbnails",
"localized": "Standardize Thumbnail Dimensions",
"reload": "null",
"hint": "Enforce uniform X-axis pixel constraints for all rendered image previews"
},
{
"id": 40,
"label": "UI theme",
"localized": "Interface Aesthetic Schema",
"reload": "null",
"hint": "Select color palette and lighting configuration for the operator console"
},
{
"id": 41,
"label": "UI request timeout",
"localized": "Request Latency Threshold",
"reload": "null",
"hint": "Define the maximum waiting window for system request responses before aborting"
},
{
"id": 42,
"label": "UI locale",
"localized": "Localization Protocol",
"reload": "null",
"hint": "Configure language packet settings for the console interface"
},
{
"id": 43,
"label": "Unload upscaler after processing",
"localized": "Purge Upscaler from Compute Buffer",
"reload": "null",
"hint": "Flush high-resolution reconstruction assets after the final rendering stage"
},
{
"id": 44,
"label": "Upscaler latent steps",
"localized": "Latent Reconstruction Iterations",
"reload": "null",
"hint": "Define refinement cycles for the spatial reconstruction process"
},
{
"id": 45,
"label": "Upscaler tile size",
"localized": "Reconstruction Tile Dimensions",
"reload": "null",
"hint": "Define the pixel dimensions of reconstruction segments. (Input '0' to disable tiling and process as single monolith)"
},
{
"id": 46,
"label": "Upscaler tile overlap",
"localized": "Reconstruction Tile Stitching Overlap",
"reload": "null",
"hint": "Buffer zone for inter-tile alignment. (Lower values increase probability of visible seam artifacts)"
},
{
"id": 47,
"label": "Use cached model config when available",
"localized": "Utilize Persistent Model Metadata",
"reload": "null",
"hint": "Retrieve local configuration blobs for model instantiation if found in cache"
},
{
"id": 48,
"label": "UI show on startup",
"localized": "Initialize Interface on Boot",
"reload": "null",
"hint": "Toggle the visibility of the primary control matrix upon system startup"
},
{
"id": 49,
"label": "UI sidebar width (%)",
"localized": "Sidebar Horizontal Constraint",
"reload": "null",
"hint": "Define the X-axis pixel footprint of the sidebar navigation panel"
},
{
"id": 50,
"label": "UI height (%)",
"localized": "Console Vertical Constraint",
"reload": "null",
"hint": "Define the Y-axis pixel footprint of the primary interface"
},
{
"id": 51,
"label": "UI fetch network info on mouse-over",
"localized": "On-Hover Telemetry Retrieval",
"reload": "null",
"hint": "Initiate network handshake to fetch object data upon cursor proximity"
},
{
"id": 52,
"label": "Use reference values when available",
"localized": "Engage Reference Metadata",
"reload": "null",
"hint": "Leverage known reference parameters for auxiliary operations when accessible"
},
{
"id": 53,
"label": "user",
"localized": "User",
"reload": "null",
"hint": "Operator identification parameters"
},
{
"id": 54,
"label": "Upcast attention layer",
"localized": "Attention Mechanism Precision Elevation",
"reload": "null",
"hint": "Force elevated bit-precision within attention neural layers"
},
{
"id": 55,
"label": "Use separate base dict",
"localized": "Utilize Isolated Dictionary Schema",
"reload": "null",
"hint": "Deploy distinct foundational dictionary for current operation"
},
{
"id": 56,
"label": "Use model EMA weights when possible",
"localized": "Deploy Exponential Moving Average Weights",
"reload": "null",
"hint": "Leverage EMA weight snapshots for enhanced inference stability"
},
{
"id": 57,
"label": "Use Kohya method for handling multiple LoRA",
"localized": "Engage Kohya-Protocol Multi-LoRA Aggregation",
"reload": "null",
"hint": "Utilize the specific Kohya methodology for integrating concurrent LoRA weight streams"
},
{
"id": 58,
"label": "UI scripts order",
"localized": "Script Execution Priority Matrix",
"reload": "null",
"hint": "Establish sequential precedence for active scripts"
},
{
"id": 59,
"label": "Use upscaler as suffix",
"localized": "Append Upscaler Metadata as Suffix",
"reload": "null",
"hint": "Attach the identifier of the upscaling module to the final output file string"
},
{
"id": 60,
"label": "Unload Current Model from VRAM",
"localized": "Immediate VRAM Purge",
"reload": "null",
"hint": "Force complete evacuation of active neural weights from the GPU memory buffer"
},
{
"id": 61,
"label": "unet",
"localized": "UNET",
"reload": "null",
"hint": "UNET architectural subsystem"
},
{
"id": 62,
"label": "Upsample",
"localized": "Upsample",
"reload": "null",
"hint": "Execute data-point interpolation"
}
],
"v": [
{
"id": 0,
"label": "Video",
"localized": "Temporal Motion Stream",
"reload": "",
"hint": "Initialize chrono-synaptic playback sequences utilizing multi-vector rendering protocols. Incorporates text-to-pixel matrix synthesis and bi-temporal frame-anchoring for start-end oscillation stability."
},
{
"id": 1,
"label": "Video Params",
"localized": "Temporal Output Configs",
"reload": "",
"hint": "Calibrating the packet encoding parameters for the resultant visual stream propagation."
},
{
"id": 2,
"label": "VLM Caption",
"localized": "Vision-Language Neural Parser",
"reload": "",
"hint": "Commence heuristic analysis of pictorial data clusters via semiotic interpretation subroutines."
},
{
"id": 3,
"label": "Variational Auto Encoder",
"localized": "Latent Space Compression Matrix",
"reload": "",
"hint": "Configure the manifold decompression parameters facilitating the inverse-transform reconstruction of high-fidelity visual constructs."
},
{
"id": 4,
"label": "Video Output",
"localized": "Rendered Temporal Manifestation",
"reload": "",
"hint": ""
},
{
"id": 5,
"label": "Variation",
"localized": "Probabilistic Perturbation Vector",
"reload": "",
"hint": "Secondary stochastic seeding stream designated for fusion with the primary deterministic entropy source."
},
{
"id": 6,
"label": "Variation strength",
"localized": "Entropy Amplitude Modulator",
"reload": "",
"hint": "Magnitude coefficient of the injection vector. At zero, the causal matrix remains static. At unity, the output undergoes full divergent phase-shift (except within ancestral decay chains, where results are unpredictable)."
},
{
"id": 7,
"label": "Vignette",
"localized": "Radial Luminance Attenuation",
"reload": "",
"hint": "Executes non-linear chromatic decay at the coordinate perimeters to artificially focus visual data processing. Elevated parameters induce more aggressive photon-falloff gradients. Disable by nulling; mimics classical optical lens refraction mechanics."
},
{
"id": 8,
"label": "VAE type",
"localized": "Latent Decompression Protocol",
"reload": "",
"hint": "Select your operational mode: Full-fidelity manifold expansion, lossy-optimized compression, or remote distributed compute inference."
},
{
"id": 9,
"label": "Version",
"localized": "Iterative Release Hash",
"reload": "",
"hint": ""
},
{
"id": 10,
"label": "Video format",
"localized": "Encoded Stream Topology",
"reload": "",
"hint": "The fundamental binary syntax and compression algorithm for temporal data export."
},
{
"id": 11,
"label": "Video duration",
"localized": "Temporal Sequence Length",
"reload": "",
"hint": ""
},
{
"id": 12,
"label": "Video engine",
"localized": "Temporal Processing Kernel",
"reload": "",
"hint": ""
},
{
"id": 13,
"label": "Video model",
"localized": "Temporal Synthesis Core",
"reload": "",
"hint": ""
},
{
"id": 14,
"label": "VAE decode",
"localized": "Latent Manifold De-synthesis",
"reload": "",
"hint": ""
},
{
"id": 15,
"label": "Video interpolation",
"localized": "Motion Vector Smoothing",
"reload": "",
"hint": ""
},
{
"id": 16,
"label": "Video codec",
"localized": "Stream Compression Schema",
"reload": "",
"hint": ""
},
{
"id": 17,
"label": "Video options",
"localized": "Temporal Variable Array",
"reload": "",
"hint": ""
},
{
"id": 18,
"label": "Video save video",
"localized": "Archive Temporal Stream",
"reload": "",
"hint": ""
},
{
"id": 19,
"label": "Video save frames",
"localized": "Archive Sequential Stills",
"reload": "",
"hint": ""
},
{
"id": 20,
"label": "Video save safetensors",
"localized": "Serialize Weighted Tensor Snapshot",
"reload": "",
"hint": ""
},
{
"id": 21,
"label": "Video file",
"localized": "Temporal Data Artifact",
"reload": "",
"hint": ""
},
{
"id": 22,
"label": "VLM Model",
"localized": "Visual Language Cognition Matrix",
"reload": "",
"hint": "Select the primary neural network architecture for multimodal cross-referencing. Architectures compatible with recursive thought-loops are flagged with an  glyph."
},
{
"id": 23,
"label": "VLM Max Tokens",
"localized": "Token Generation Ceiling",
"reload": "",
"hint": "Defines the absolute quantitative limit of output vector sequences. The cognitive core remains oblivious to this threshold during inference; hitting the ceiling triggers a hard-termination of the stream."
},
{
"id": 24,
"label": "VLM Num Beams",
"localized": "Concurrent Search Trajectories",
"reload": "",
"hint": "Maintains parallel probability branches for sequence optimization. Equivalent to simultaneous simulation of divergent draft timelines. Computationally intensive; generally inferior to standard stochastic sampling in modern hyper-models. Nullify by setting to 1."
},
{
"id": 25,
"label": "VLM Temperature",
"localized": "Stochastic Variance Coefficient",
"reload": "",
"hint": "Regulates the pseudo-randomness of token selection heuristics. Minimized coefficients (e.g., 0.1) enforce deterministic, high-probability output paths. Maximized coefficients (e.g., 0.9) amplify divergent, creative heuristic paths. Set to 0 for absolute deterministic output."
},
{
"id": 26,
"label": "VLM",
"localized": "VLM",
"reload": "",
"hint": ""
},
{
"id": 27,
"label": "VAE",
"localized": "VAE",
"reload": "",
"hint": "Variational Auto-Encoder: The foundational synaptic decoder architecture responsible for collapsing latent space coordinates into visual pixel-arrays upon generation completion."
},
{
"id": 28,
"label": "VAE model",
"localized": "De-serialization Weight-Map",
"reload": "",
"hint": "Neural hyper-parameters facilitating refined granularity and chromatic alignment in the finalized output matrix."
},
{
"id": 29,
"label": "VAE slicing",
"localized": "Linear VRAM Buffer-Segmentation",
"reload": "",
"hint": "Parses batch latents through the decoder in serial segments to conserve VRAM throughput. Provides a marginal computational efficiency gain during manifold expansion."
},
{
"id": 30,
"label": "VAE tiling",
"localized": "Grid-based Spatial Partitioning",
"reload": "",
"hint": "Decomposes ultra-high resolution latent grids into overlapping sub-matrices for low-memory environments. Induces a minor temporal penalty due to fragmentation re-assembly."
},
{
"id": 31,
"label": "VAE tile size",
"localized": "Sub-Matrix Partition Dimensions",
"reload": "",
"hint": ""
},
{
"id": 32,
"label": "VAE tile overlap",
"localized": "Partition Seam Overlap",
"reload": "",
"hint": ""
},
{
"id": 33,
"label": "verbose",
"localized": "Verbosity",
"reload": "",
"hint": ""
},
{
"id": 34,
"label": "VAE sliced encode",
"localized": "Segmented Latent Compression",
"reload": "",
"hint": ""
},
{
"id": 35,
"label": "VGen params",
"localized": "V-Gen Initialization Parameters",
"reload": "",
"hint": ""
}
],
"w": [
{
"id": 1,
"label": "Wiki",
"localized": "Knowledge Repository Interface",
"reload": "false",
"hint": "Access the centralized data nodes for documentation retrieval"
},
{
"id": 2,
"label": "Wildcards",
"localized": "Stochastic Variable Injection",
"reload": "false",
"hint": "Dynamically substitute prompts using randomized pattern descriptors"
},
{
"id": 3,
"label": "WanAI",
"localized": "WanAI Neural Architecture",
"reload": "false",
"hint": "Activate primary WanAI generative substrate"
},
{
"id": 4,
"label": "Watermarking",
"localized": "Steganographic Imprint",
"reload": "false",
"hint": "Apply a cryptographic signal to the frame buffer for origin verification"
},
{
"id": 5,
"label": "Width",
"localized": "Horizontal Pixel Array",
"reload": "false",
"hint": "Define the X-axis dimensional resolution"
},
{
"id": 6,
"label": "Weight",
"localized": "Synaptic Magnitude",
"reload": "false",
"hint": "Adjust the scalar intensity of the vector influence"
},
{
"id": 7,
"label": "Width after",
"localized": "Post-Process Horizontal Width",
"reload": "false",
"hint": "Specify the X-axis vector boundary following secondary processing"
},
{
"id": 8,
"label": "Width mask",
"localized": "Horizontal Occlusion Layer",
"reload": "false",
"hint": "Determine the X-axis coordinate bounds for masked operations"
},
{
"id": 9,
"label": "WebP lossless compression",
"localized": "Bit-Perfect WebP Serialization",
"reload": "false",
"hint": "Execute high-fidelity image data stream serialization without loss of entropy"
},
{
"id": 10,
"label": "wavelet",
"localized": "Wavelet Analysis",
"reload": "false",
"hint": "Perform frequency-domain decomposition for signal processing"
},
{
"id": 11,
"label": "Weights clip",
"localized": "Synaptic Amplitude Clipping",
"reload": "false",
"hint": "Constrain merged tensor coefficients to parity with the primary heuristic to prevent spectral thermal runaway and chrominance saturation"
}
],
"x": [
{
"id": 1,
"label": "XS",
"localized": "XS",
"reload": "n/a",
"hint": "Nano-scale optimization protocol."
},
{
"id": 2,
"label": "X components",
"localized": "X-dimensional structural vectors",
"reload": "n/a",
"hint": "The fundamental constituents within the X-axis manifold."
},
{
"id": 3,
"label": "X overlap",
"localized": "X-axis harmonic resonance overlap",
"reload": "n/a",
"hint": "The degree of constructive interference between X-dimensional data buffers."
},
{
"id": 4,
"label": "X-axis tiles",
"localized": "X-axis quantum grid segments",
"reload": "n/a",
"hint": "Discretized packets along the lateral computational horizon."
},
{
"id": 5,
"label": "X-axis tile overlap",
"localized": "X-axis segment phase-shift",
"reload": "n/a",
"hint": "The cross-linked boundary latency between adjacent grid segments."
},
{
"id": 6,
"label": "X type",
"localized": "X-coordinate matrix category",
"reload": "n/a",
"hint": "The specific classification of the Cartesian traversal vector."
},
{
"id": 7,
"label": "X values",
"localized": "X-axis data streams",
"reload": "n/a",
"hint": "Input array for the X-axis, serialized by delimiter protocols."
},
{
"id": 8,
"label": "xhinker",
"localized": "xhinker",
"reload": "n/a",
"hint": "Neural-synaptic bridge calibration sequence."
},
{
"id": 9,
"label": "xFormers",
"localized": "xFormers",
"reload": "n/a",
"hint": "VRAM entropy mitigation layer. Stochastic output variance initiated."
},
{
"id": 10,
"label": "xet",
"localized": "xet",
"reload": "n/a",
"hint": "External heuristic engagement terminal."
},
{
"id": 11,
"label": "XYZ Grid",
"localized": "XYZ Multi-Dimensional Spatio-Temporal Matrix",
"reload": "n/a",
"hint": "A hyper-dimensional array processing engine designed to extrapolate image variance across ternary parameter vectors."
}
],
"y": [
{
"id": 0,
"label": "Y components",
"localized": "Vertical Vector Quantization Nodes",
"reload": "null",
"hint": "Calibrate the axis-aligned coordinate projections for the vertical plane."
},
{
"id": 1,
"label": "Y overlap",
"localized": "Vertical Tessellation Interleaving",
"reload": "null",
"hint": "Adjust the pixel-boundary bleed to optimize seamless vertical reconstruction."
},
{
"id": 2,
"label": "Y-axis tiles",
"localized": "Y-Dimension Latent Shards",
"reload": "null",
"hint": "Define the quantity of distinct latent patches generated along the vertical axis."
},
{
"id": 3,
"label": "Y-axis tile overlap",
"localized": "Vertical Shard Cross-Fading",
"reload": "null",
"hint": "Configure the spatial blending coefficient for latent patches overlapping in the Y-dimension."
},
{
"id": 4,
"label": "Y type",
"localized": "Y-Axis Variable Taxonomy",
"reload": "null",
"hint": "Select the parameter class to undergo recursive iteration across the vertical vector."
},
{
"id": 5,
"label": "Y values",
"localized": "Vertical Iteration Sequence",
"reload": "null",
"hint": "Input the discrete parameter tokens for the vertical vector, delineated by comma delimiters."
}
],
"z": [
{
"id": 0,
"label": "ZImageTurbo",
"localized": "Hyper-Quantum Pixel Accelerator",
"reload": "null",
"hint": "Engage the tachyonic vector pipeline to force-multiply image generation frequency."
},
{
"id": 0,
"label": "ZeroStar init steps",
"localized": "Null-Point Origin Calibration Cycles",
"reload": "null",
"hint": "Sets the foundational iterative threshold for the latent vector collapse."
},
{
"id": 0,
"label": "Zero",
"localized": "Null-State Singularity",
"reload": "null",
"hint": "Resets the heuristic bias to a perfect vacuum state."
},
{
"id": 0,
"label": "Z type",
"localized": "Depth-Axis Paradigm",
"reload": "null",
"hint": "Selects the dimensional metadata protocol for the Z-coordinate interpolation."
},
{
"id": 0,
"label": "Z values",
"localized": "Depth-Axis Scalar Array",
"reload": "null",
"hint": "Input the multi-phasic scalar distribution for the Z-axis, delimited by chronon-commas."
},
{
"id": 0,
"label": "Zoe Depth",
"localized": "Zoe Spatial-Depth Mapping",
"reload": "null",
"hint": "Activates the monocular depth-sensing manifold via Zoe-Net neural pathways."
}
]
}
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