{
"0": [
{
"id": 0,
"label": "1st Stage",
"localized": "Primary Temporal Iteration",
"reload": "script_freescale",
"hint": "Initial initialization of the latent manifold tensor parameters."
},
{
"id": 0,
"label": "2nd Stage",
"localized": "Secondary Quantization Phase",
"reload": "script_freescale",
"hint": "Commencement of the secondary denoising vector optimization."
},
{
"id": 0,
"label": "2nd Scale",
"localized": "Sub-harmonic Magnitude",
"reload": "script_freescale",
"hint": "The scalar coefficient for the secondary perceptual guidance field."
},
{
"id": 0,
"label": "2nd Restart step",
"localized": "Phase II Recursion Anchor",
"reload": "script_freescale",
"hint": "The discrete temporal coordinate for the secondary noise injection restart."
},
{
"id": 0,
"label": "3rd Stage",
"localized": "Tertiary Convergence Cycle",
"reload": "script_freescale",
"hint": "Execution of the third-tier latent reconstruction protocol."
},
{
"id": 0,
"label": "3rd Scale",
"localized": "Tertiary Amplitude Gain",
"reload": "script_freescale",
"hint": "The amplification factor for the tertiary cross-attention matrix."
},
{
"id": 0,
"label": "3rd Restart step",
"localized": "Phase III Recursion Anchor",
"reload": "script_freescale",
"hint": "The specified step for the tertiary sampling trajectory reset."
},
{
"id": 0,
"label": "4th Stage",
"localized": "Quaternary Refinement Loop",
"reload": "script_freescale",
"hint": "Final stage processing of high-frequency detail synthesis."
},
{
"id": 0,
"label": "4th Scale",
"localized": "Quaternary Flux Intensity",
"reload": "script_freescale",
"hint": "The flux density parameter for the fourth-order diffusion heuristic."
},
{
"id": 0,
"label": "4th Restart step",
"localized": "Phase IV Recursion Anchor",
"reload": "script_freescale",
"hint": "The terminal temporal step for the quaternary sampling restart."
}
],
"_": [
{
"id": 7,
"label": "⟲",
"localized": "⟲",
"reload": "",
"hint": "Re-synchronize latent style buffers"
},
{
"id": 8,
"label": "↶",
"localized": "↶",
"reload": "",
"hint": "Inject selected hyper-stylization into current prompt string"
},
{
"id": 9,
"label": "↷",
"localized": "↷",
"reload": "",
"hint": "Commit current lexical prompt to style metadata storage"
},
{
"id": 10,
"label": "⇅",
"localized": "⇅",
"reload": "",
"hint": "Inverse resolution aspect ratio dimensions"
},
{
"id": 11,
"label": "🎲️",
"localized": "🎲️",
"reload": "",
"hint": "Initialize stochastic entropy for random seed generation"
},
{
"id": 12,
"label": "⬅️",
"localized": "⬅️",
"reload": "",
"hint": "Recall previous seed entropy from the most recent inference cycle"
},
{
"id": 13,
"label": "🕮",
"localized": "🕮",
"reload": "",
"hint": "Persist inference parameters as a persistent style template schema"
},
{
"id": 14,
"label": "📐",
"localized": "📐",
"reload": "",
"hint": "Auto-detect spatial dimensions from the current image buffer"
},
{
"id": 15,
"label": "☲",
"localized": "☲",
"reload": "",
"hint": "Toggle visual representation layout of the YOLO model array"
},
{
"id": 16,
"label": "⊜",
"localized": "⊜",
"reload": "",
"hint": "Populate XYZ coordinate grid with sequential parameter values"
},
{
"id": 17,
"label": "",
"localized": "",
"reload": "",
"hint": "Execute semantic image interrogation for caption generation"
},
{
"id": 18,
"label": "⁜",
"localized": "⁜",
"reload": "",
"hint": "Iterate through image-to-canvas fitting algorithms"
},
{
"id": 19,
"label": "➠ Control",
"localized": "➠ Control-Flow Sync",
"reload": "",
"hint": "Pipe image data into the ControlNet processing pipeline"
},
{
"id": 20,
"label": "➠ Text",
"localized": "➠ Lexical Interface",
"reload": "",
"hint": "Bridge image output to the textual processing subsystem"
},
{
"id": 21,
"label": "➠ Image",
"localized": "➠ Img-Array Link",
"reload": "",
"hint": "Transfer pixel data to the primary image-to-image interface"
},
{
"id": 22,
"label": "➠ Process",
"localized": "➠ Batch Logic",
"reload": "",
"hint": "Relocate image to the post-processing execution queue"
},
{
"id": 23,
"label": "➠ Caption",
"localized": "➠ Interrogation Link",
"reload": "",
"hint": "Forward image buffer to the semantic captioning module"
},
{
"id": 24,
"label": "➠ Sketch",
"localized": "➠ Canvas Draft",
"reload": "",
"hint": "Map image data to the neural sketch sketching subsystem"
},
{
"id": 25,
"label": "➠ Inpaint",
"localized": "➠ Mask Synthesis",
"reload": "",
"hint": "Route image to the latent-mask inpainting engine"
},
{
"id": 26,
"label": "➠ Composite",
"localized": "➠ Inpaint-Sketch Hybrid",
"reload": "",
"hint": "Migrate image to the composite inpaint-sketch workspace"
},
{
"id": 27,
"label": "controlnet_unit-0-upload",
"localized": "⬆️",
"reload": "",
"hint": "Upload external bitstream to ControlNet unit"
},
{
"id": 28,
"label": "controlnet_unit-0-reset",
"localized": "🔄",
"reload": "",
"hint": "Flush current unit parameters to default state"
},
{
"id": 29,
"label": "controlnet_unit-0-preview",
"localized": "🖼️",
"reload": "",
"hint": "Render current preprocessor preview mask"
},
{
"id": 30,
"label": "video_model_load",
"localized": "↺",
"reload": "",
"hint": "Engage real-time parameter application for video synthesis"
},
{
"id": 31,
"label": "component-5772",
"localized": "",
"reload": "",
"hint": "Reorder metadata by lexicographical name (Ascending)"
},
{
"id": 32,
"label": "component-5773",
"localized": "",
"reload": "",
"hint": "Reorder metadata by lexicographical name (Descending)"
},
{
"id": 33,
"label": "component-5774",
"localized": "",
"reload": "",
"hint": "Reorder filesystem objects by byte-size (Ascending)"
},
{
"id": 34,
"label": "component-5775",
"localized": "",
"reload": "",
"hint": "Reorder filesystem objects by byte-size (Descending)"
},
{
"id": 35,
"label": "component-5776",
"localized": "",
"reload": "",
"hint": "Reorder by pixel resolution density (Ascending)"
},
{
"id": 36,
"label": "component-5777",
"localized": "",
"reload": "",
"hint": "Reorder by pixel resolution density (Descending)"
},
{
"id": 37,
"label": "component-5778",
"localized": "",
"reload": "",
"hint": "Reorder by epoch timestamp (Ascending)"
},
{
"id": 38,
"label": "component-5779",
"localized": "",
"reload": "",
"hint": "Reorder by epoch timestamp (Descending)"
},
{
"id": 39,
"label": "quicksettings_clear",
"localized": "⊗",
"reload": "",
"hint": "Nullify current quicksetting overrides"
},
{
"id": 40,
"label": "docs_btn_search",
"localized": "🔍",
"reload": "",
"hint": "Initiate deep search across documentation index"
},
{
"id": 41,
"label": "component-5567",
"localized": "⇨",
"reload": "",
"hint": "Execute preset parameter deployment"
},
{
"id": 42,
"label": "txt2img_extra_model",
"localized": "※",
"reload": "",
"hint": "Load neural weights as secondary refinement model vs base model"
},
{
"id": 43,
"label": "txt2img_extra_scan",
"localized": "🔎︎",
"reload": "",
"hint": "Scan remote CivitAI API for missing hash metadata and visual previews"
},
{
"id": 44,
"label": "txt2img_extra_sort",
"localized": "⇕",
"reload": "",
"hint": "Reconfigure display order by: Name, Size, or Timestamp"
},
{
"id": 45,
"label": "txt2img_extra_close",
"localized": "✕",
"reload": "",
"hint": "Terminate current overlay process"
}
],
"a": [
{
"id": 755,
"label": "Advanced",
"localized": "Advanced Parametric Matrices",
"reload": "n/a",
"hint": "Execution parameters for high-fidelity heuristic manifold generation"
},
{
"id": 756,
"label": "Adapters",
"localized": "Cross-Attention Injection Modules",
"reload": "n/a",
"hint": "Configuration protocols for auxiliary latent-space conditioning adapters"
},
{
"id": 941,
"label": "Apply to model",
"localized": "Commit Weights to Neural Fabric",
"reload": "n/a",
"hint": "Initiate a destructive tensor merge onto the primary inference model"
},
{
"id": 1001,
"label": "Analyze",
"localized": "Vector Analysis & Tokenization",
"reload": "n/a",
"hint": "Perform visual-semantic parsing for prompt-vector extraction"
},
{
"id": 8587,
"label": "Apply changes",
"localized": "Reinitialize Server Kernel",
"reload": "n/a",
"hint": "Hard-flush the current system state and re-initialize the backend runtime"
},
{
"id": 1002,
"label": "Apply settings",
"localized": "Synchronize Global Config",
"reload": "n/a",
"hint": "Persist the current configuration delta to the system-level YAML registry"
},
{
"id": 5478,
"label": "Analyze model",
"localized": "Heuristic Weights Diagnostic",
"reload": "n/a",
"hint": "Run a comprehensive tensor-health and layer-architecture diagnostic"
},
{
"id": 1003,
"label": "All",
"localized": "All",
"reload": "n/a",
"hint": "Unfiltered selection of the entire data repository"
},
{
"id": 1004,
"label": "artist",
"localized": "Aesthetic Signature Tag",
"reload": "n/a",
"hint": "Metadata classifier for stylistic weighting of the latent output"
},
{
"id": 1005,
"label": "Alpha",
"localized": "Alpha",
"reload": "n/a",
"hint": "Opacity scalar for pixel-wise composition and masking"
},
{
"id": 1006,
"label": "Advanced Options",
"localized": "Hyperparameter Tuning Interface",
"reload": "n/a",
"hint": "Access low-level system variables and scheduling coefficients"
},
{
"id": 1007,
"label": "Appearance",
"localized": "GUI Manifestation",
"reload": "n/a",
"hint": "Define the visual CSS rendering properties of the interface"
},
{
"id": 1008,
"label": "Answer",
"localized": "Linguistic Output Result",
"reload": "n/a",
"hint": "The decoded textual response from the multimodal transformer"
},
{
"id": 1009,
"label": "Adjust start",
"localized": "Sigma Temporal Shift (Onset)",
"reload": "n/a",
"hint": "Temporal step coordinate for the initiation of sigma-scaling adjustments"
},
{
"id": 1010,
"label": "Adjust end",
"localized": "Sigma Temporal Shift (Termination)",
"reload": "n/a",
"hint": "Temporal step coordinate for the cessation of sigma-scaling adjustments"
},
{
"id": 1011,
"label": "AutoGuidance dropout",
"localized": "Stochastic Guidance Decoupling",
"reload": "n/a",
"hint": "Randomized drop-rate for the automated guidance scalar"
},
{
"id": 1012,
"label": "AutoGuidance layers",
"localized": "Recursive Layer Targeting",
"reload": "n/a",
"hint": "Specific UNet/Transformer blocks targeted by the autoguidance algorithm"
},
{
"id": 1013,
"label": "AutoGuidance config",
"localized": "Guidance Protocol Parameters",
"reload": "n/a",
"hint": "Detailed configuration manifest for automated classifier-free guidance"
},
{
"id": 1014,
"label": "APG momentum",
"localized": "Adaptive Preserved Gradient Momentum",
"reload": "n/a",
"hint": "Velocity coefficient for the adaptive gradient momentum optimizer"
},
{
"id": 1015,
"label": "APG rescale",
"localized": "APG Normalization Factor",
"reload": "n/a",
"hint": "Rescaling scalar for the adaptive preserved gradient output"
},
{
"id": 1016,
"label": "Attention guidance",
"localized": "Perturbed-Attention Guidance (PAG)",
"reload": "n/a",
"hint": "CFG scale coefficient utilized for PAG: Perturbed-Attention Guidance logic"
},
{
"id": 1017,
"label": "Adaptive scaling",
"localized": "Non-Linear Attention Rescaling",
"reload": "n/a",
"hint": "Adaptive modifier for the global attention-guidance magnitude"
},
{
"id": 1018,
"label": "Active IP adapters",
"localized": "Active Cross-Domain Instances",
"reload": "n/a",
"hint": "Total count of operational image-prompt conditioning modules"
},
{
"id": 1019,
"label": "Adapter",
"localized": "Inference-Time Adapter Module",
"reload": "n/a",
"hint": "Specific IP-Adapter weight file for visual conditioning"
},
{
"id": 1020,
"label": "Anchor settings",
"localized": "Temporal Anchor Consistency",
"reload": "n/a",
"hint": "Parameters for maintaining frame-to-frame latent stability"
},
{
"id": 1021,
"label": "Alpha preset",
"localized": "Transparency Logic Presets",
"reload": "n/a",
"hint": "Pre-defined configurations for alpha-channel blending behavior"
},
{
"id": 1022,
"label": "Append heatmaps to results",
"localized": "Activation Map Serialization",
"reload": "n/a",
"hint": "Serialize attention-density heatmaps into the output metadata container"
},
{
"id": 1023,
"label": "Auto apply",
"localized": "Real-Time Heuristic Injection",
"reload": "n/a",
"hint": "Automatically commit enhanced parameters to the runtime buffer"
},
{
"id": 1024,
"label": "Amplify LUT",
"localized": "Lookup Table Gain",
"reload": "n/a",
"hint": "Increase the intensity of the color-grading lookup table transformation"
},
{
"id": 1025,
"label": "Add time info",
"localized": "Temporal Metadata Injection",
"reload": "n/a",
"hint": "Embed generation duration into the image metadata headers"
},
{
"id": 1026,
"label": "Add text info",
"localized": "Semantic Label Overlay",
"reload": "n/a",
"hint": "Render generation parameters as a visual text overlay on the output grid"
},
{
"id": 1027,
"label": "Add metadata",
"localized": "Exif/XMP Payload Injection",
"reload": "n/a",
"hint": "Inject generation parameters into the file's binary header"
},
{
"id": 1028,
"label": "Allowed languages",
"localized": "ISO Linguistic Filtering",
"reload": "n/a",
"hint": "Permitted natural language sets for the semantic classifier"
},
{
"id": 1029,
"label": "Allowed alphabets",
"localized": "Character Set Whitelist",
"reload": "n/a",
"hint": "Restrict processing to specific UTF-8 character ranges"
},
{
"id": 1030,
"label": "Apply to prompt",
"localized": "Commit to Semantic Input",
"reload": "n/a",
"hint": "Automatically synchronize the enhanced result to the primary prompt buffer"
},
{
"id": 1031,
"label": "Auto enhance",
"localized": "Iterative Semantic Refinement",
"reload": "n/a",
"hint": "Automatically run prompt-optimization cycles before every sampling step"
},
{
"id": 1032,
"label": "ACI: Color to Mask",
"localized": "Chroma-Key Latent Masking",
"reload": "n/a",
"hint": "Target specific RGB values for automated inpainting mask generation"
},
{
"id": 1033,
"label": "ACI: Color tolerance",
"localized": "Epsilon Variance Threshold",
"reload": "n/a",
"hint": "Mathematical tolerance for calculating color-proximity in mask generation"
},
{
"id": 1034,
"label": "ACI: Denoising strength",
"localized": "Latent Reconstruction Intensity",
"reload": "n/a",
"hint": "Adjust the variance threshold for the inpainting noise-reduction pass"
},
{
"id": 1035,
"label": "ACI: Mask dilate",
"localized": "Mask Morphological Expansion",
"reload": "n/a",
"hint": "Increase the radius of the generated binary mask via pixel dilation"
},
{
"id": 1036,
"label": "ACI: Mask erode",
"localized": "Mask Morphological Contraction",
"reload": "n/a",
"hint": "Decrease the radius of the generated binary mask via pixel erosion"
},
{
"id": 1037,
"label": "ACI: Mask blur",
"localized": "Gaussian Edge Smoothing",
"reload": "n/a",
"hint": "Apply a Gaussian kernel blur to the mask edges for seamless blending"
},
{
"id": 1038,
"label": "Adaptive restore",
"localized": "Non-Linear Restoration Heuristics",
"reload": "n/a",
"hint": "Dynamically adjust the intensity of the image restoration filter"
},
{
"id": 1039,
"label": "Apply noise",
"localized": "Gaussian Noise Injection",
"reload": "n/a",
"hint": "Inject stochastic noise into the latent space for texture generation"
},
{
"id": 1040,
"label": "Auto min score",
"localized": "Confidence Threshold Minimum",
"reload": "n/a",
"hint": "Lower bound for automated classifier confidence scores"
},
{
"id": 1041,
"label": "Auto-segment",
"localized": "Recursive Semantic Segmentation",
"reload": "n/a",
"hint": "Automatically partition image into semantic regions via segment-anything algorithms"
},
{
"id": 1042,
"label": "Auto-mask",
"localized": "Automated Latent Isolation",
"reload": "n/a",
"hint": "Automatically generate isolation masks based on object detection"
},
{
"id": 1043,
"label": "Active",
"localized": "State: Enabled",
"reload": "n/a",
"hint": "Set the module status to active inference"
},
{
"id": 1044,
"label": "Attention",
"localized": "Soft-Attention Mapping",
"reload": "n/a",
"hint": "Utilize the transformer's attention map for conditioning"
},
{
"id": 1045,
"label": "Adain",
"localized": "Adaptive Instance Normalization",
"reload": "n/a",
"hint": "Perform style transfer via mean and variance synchronization"
},
{
"id": 1046,
"label": "Attention Adain",
"localized": "Coupled Attention-Style Normalization",
"reload": "n/a",
"hint": "Hybrid approach combining attention maps with instance normalization"
},
{
"id": 1047,
"label": "Apply filter",
"localized": "Kernel Convolution Pass",
"reload": "n/a",
"hint": "Execute a post-processing filter pass on the generated buffer"
},
{
"id": 1048,
"label": "Alpha matting",
"localized": "Semantic Foreground Extraction",
"reload": "n/a",
"hint": "Refine edge transparency for high-precision background removal"
},
{
"id": 1049,
"label": "Append Caption Files",
"localized": "Recursive Caption Concatenation",
"reload": "n/a",
"hint": "Append new semantic descriptors to existing text files instead of standard overwriting"
},
{
"id": 1050,
"label": "a1111",
"localized": "Legacy Encoder Compatibility",
"reload": "n/a",
"hint": "Use the original A1111-style text encoder normalization"
},
{
"id": 1051,
"label": "Autocast",
"localized": "Mixed-Precision FP16/BF16 Logic",
"reload": "n/a",
"hint": "Dynamically switch between precision modes to optimize VRAM throughput"
},
{
"id": 1052,
"label": "Auto",
"localized": "Auto",
"reload": "n/a",
"hint": "Allow the backend to automatically determine optimal parameters"
},
{
"id": 1053,
"label": "accuracy",
"localized": "Floating Point Determinism",
"reload": "n/a",
"hint": "Prioritize mathematical accuracy over inference speed"
},
{
"id": 1054,
"label": "atiadlxx (AMD only)",
"localized": "RDNA-Specific Driver Protocol",
"reload": "n/a",
"hint": "Utilize AMD-specific display library extensions"
},
{
"id": 1055,
"label": "aot_ts_nvfuser",
"localized": "AOT-NVFuser Optimization",
"reload": "n/a",
"hint": "Ahead-of-time compilation for NVIDIA fusion kernels"
},
{
"id": 1056,
"label": "Additional image browser folders",
"localized": "External Directory Symlinks",
"reload": "n/a",
"hint": "Auxiliary paths for the system-wide image navigation interface"
},
{
"id": 1057,
"label": "Add system information to metadata",
"localized": "Hardware Environment Telemetry",
"reload": "n/a",
"hint": "Include GPU/CPU/CUDA versions in the image binary header"
},
{
"id": 1058,
"label": "Autolaunch browser upon startup",
"localized": "Automated WebUI Instantiation",
"reload": "n/a",
"hint": "Automatically open the browser interface upon server readiness"
},
{
"id": 1059,
"label": "Allowed aspect ratios",
"localized": "W/H Ratio Constraints",
"reload": "n/a",
"hint": "Whitelisted dimensions for the UI generation sliders"
},
{
"id": 1060,
"label": "Approximate",
"localized": "Low-Fidelity Neural Approximation",
"reload": "n/a",
"hint": "High-speed, low-resolution neural approximation for real-time visualization"
},
{
"id": 1061,
"label": "Additional postprocessing operations",
"localized": "Secondary Render Pipeline",
"reload": "n/a",
"hint": "Configure auxiliary effects to run after the primary sampler"
},
{
"id": 1062,
"label": "Apply color correction",
"localized": "Global Histogram Matching",
"reload": "n/a",
"hint": "Synchronize the color distribution of the result with the original seed image"
},
{
"id": 1063,
"label": "Apply mask as overlay",
"localized": "Visual Mask Verification Overlay",
"reload": "n/a",
"hint": "Render the mask as a semi-transparent layer for debugging"
},
{
"id": 1064,
"label": "Apply sRGB linearization",
"localized": "Gamma-Space Linear Transformation",
"reload": "n/a",
"hint": "Convert non-linear sRGB values to a linear mathematical space"
},
{
"id": 1065,
"label": "Available networks",
"localized": "Neural Weights Inventory",
"reload": "n/a",
"hint": "List of all localized LoRA, LyCORIS, and Hypernetworks"
},
{
"id": 1066,
"label": "Auto-convert SD15 embeddings to SDXL",
"localized": "Cross-Architecture Latent Remapping",
"reload": "n/a",
"hint": "Map low-dimensional SD1.5 vectors to the high-dimensional SDXL space"
},
{
"id": 1067,
"label": "alias",
"localized": "Symbolic Pointer",
"reload": "n/a",
"hint": "Assign a shorthand string for complex model references"
},
{
"id": 1068,
"label": "Attention query chunk size",
"localized": "Q-Vector Partition Size",
"reload": "n/a",
"hint": "Define the size of memory chunks for attention-query processing"
},
{
"id": 1069,
"label": "Attention kv chunk size",
"localized": "KV-Vector Partition Size",
"reload": "n/a",
"hint": "Define the size of memory chunks for key-value attention pairs"
},
{
"id": 1070,
"label": "Attention chunking threshold",
"localized": "VRAM Spillover Threshold",
"reload": "n/a",
"hint": "The VRAM limit at which attention chunking protocols are triggered"
},
{
"id": 1071,
"label": "Attempt VAE roll back for NaN values",
"localized": "Recursive FP32 VAE Fallback",
"reload": "n/a",
"hint": "Switch to 32-bit precision if the VAE encounters Not-a-Number errors"
},
{
"id": 1072,
"label": "Add extended info to filename when saving grid",
"localized": "Verbose Filename Serialization",
"reload": "n/a",
"hint": "Inject generation parameters into the physical file name of the output grid"
},
{
"id": 1073,
"label": "Add LoRA to prompt",
"localized": "Syntactic LoRA Injection",
"reload": "n/a",
"hint": "Automatically insert the LoRA activation syntax into the prompt field"
},
{
"id": 1074,
"label": "Alpha Ratio",
"localized": "Alpha Blending Coefficient",
"reload": "n/a",
"hint": "Weighting factor for the alpha-channel transparency mix"
},
{
"id": 1075,
"label": "ALPHA Block Weight Preset",
"localized": "Residual Layer Weighting Matrix",
"reload": "n/a",
"hint": "Predefined scalars for individual layer-block transparency"
},
{
"id": 1076,
"label": "Automatically determine rank",
"localized": "Dynamic SVD Rank Approximation",
"reload": "n/a",
"hint": "Automatically calculate the optimal rank for LoRA weight extraction"
},
{
"id": 1077,
"label": "Autorank ratio",
"localized": "SVD Singular Value Ratio",
"reload": "n/a",
"hint": "The energy-preservation ratio for automated rank determination"
},
{
"id": 1078,
"label": "Advanced guidance params",
"localized": "Deep-Guidance Coefficients",
"reload": "n/a",
"hint": "Access to underlying guidance vectors and scheduler scales"
},
{
"id": 1079,
"label": "Adapter 1",
"localized": "Conditioning Slot Alpha",
"reload": "n/a",
"hint": "Primary slot for cross-modal adapter injection"
},
{
"id": 1080,
"label": "Adapter 2",
"localized": "Conditioning Slot Beta",
"reload": "n/a",
"hint": "Secondary slot for cross-modal adapter injection"
},
{
"id": 1081,
"label": "Adapter 3",
"localized": "Conditioning Slot Gamma",
"reload": "n/a",
"hint": "Tertiary slot for cross-modal adapter injection"
},
{
"id": 1082,
"label": "Adapter 4",
"localized": "Conditioning Slot Delta",
"reload": "n/a",
"hint": "Quaternary slot for cross-modal adapter injection"
},
{
"id": 1083,
"label": "Audio",
"localized": "Acoustic Wavetable",
"reload": "n/a",
"hint": "Digital audio stream for temporal synchronization"
},
{
"id": 1084,
"label": "Advanced Options",
"localized": "Heuristic Override Panel",
"reload": "n/a",
"hint": "Advanced tuning for the multimodal analysis engine"
},
{
"id": 1085,
"label": "Advanced Options",
"localized": "Hyper-Parameter Matrix",
"reload": "n/a",
"hint": "Access to low-level generation variables"
},
{
"id": 1086,
"label": "Advanced Options",
"localized": "System-Level Overrides",
"reload": "n/a",
"hint": "Bypass standard inference settings with custom overrides"
}
],
"b": [
{
"id": 0,
"label": "Batch",
"localized": "Quantum Iteration Sequence",
"reload": "n/a",
"hint": "Configures the multiplexed data-stream batching parameters"
},
{
"id": 1,
"label": "Batch Caption",
"localized": "Automated Semantic Meta-Tagging",
"reload": "n/a",
"hint": "Executes a recursive vision-language model inference for mass labeling"
},
{
"id": 2,
"label": "Batch Tag",
"localized": "Lexical Descriptor Aggregation",
"reload": "n/a",
"hint": "Triggers a deep-danbooru interrogation sequence across multiple datasets"
},
{
"id": 3,
"label": "Benchmark",
"localized": "Computational Stress Diagnostics",
"reload": "n/a",
"hint": "Initiates a performance telemetry probe for hardware overhead assessment"
},
{
"id": 4,
"label": "Backend Settings",
"localized": "Substrate Core Architecture",
"reload": "n/a",
"hint": "Fine-tunes the underlying tensor execution engines and compute kernels"
},
{
"id": 5,
"label": "body",
"localized": "body",
"reload": "n/a",
"hint": "The primary container for the GUI DOM hierarchy"
},
{
"id": 6,
"label": "Beta",
"localized": "Non-Deterministic Evaluation Phase",
"reload": "n/a",
"hint": "Experimental feature set subject to high-entropy instability"
},
{
"id": 7,
"label": "Balanced Offload",
"localized": "Equilibrium Memory Shifting",
"reload": "n/a",
"hint": "Optimizes the heuristic allocation between VRAM and system-level paging"
},
{
"id": 8,
"label": "BitsAndBytes",
"localized": "Quantized Precision Logic",
"reload": "n/a",
"hint": "Enables low-bitwidth integer arithmetic for memory-efficient inference"
},
{
"id": 9,
"label": "Batch count",
"localized": "Sequential Iteration Frequency",
"reload": "n/a",
"hint": "Determines the total temporal cycles of generative iterations"
},
{
"id": 10,
"label": "Batch size",
"localized": "Concurrent Tensor Parallelism",
"reload": "n/a",
"hint": "Adjusts the width of the spatial processing vector for parallel synthesis"
},
{
"id": 11,
"label": "Beta schedule",
"localized": "Stochastic Decay Algorithm",
"reload": "n/a",
"hint": "Specifies the noise-diffusion gradient function for variance scheduling"
},
{
"id": 12,
"label": "Base shift",
"localized": "Resolution-Scale Linear Bias",
"reload": "n/a",
"hint": "Establishes the foundational offset for dynamic latent resolution scaling"
},
{
"id": 13,
"label": "Brightness",
"localized": "Luminance Amplitude Adjustment",
"reload": "n/a",
"hint": "Modulates the radiant intensity of the pixel-grid output"
},
{
"id": 14,
"label": "Block",
"localized": "Modular Structural Unit",
"reload": "n/a",
"hint": "Isolates specific neural layers for granular manipulation"
},
{
"id": 15,
"label": "Block size",
"localized": "Symmetric Matrix Tiling",
"reload": "n/a",
"hint": "Defines the granularity of the spatial segmentation grid"
},
{
"id": 16,
"label": "Banned words",
"localized": "Negative Token Constraints",
"reload": "n/a",
"hint": "Filters designated semantic vectors from the latent embedding space"
},
{
"id": 17,
"label": "Blur",
"localized": "Gaussian Kernel Convolution",
"reload": "n/a",
"hint": "Applies a frequency-damping filter to the visual matrix"
},
{
"id": 18,
"label": "Batch input directory",
"localized": "Source Ingress Path",
"reload": "n/a",
"hint": "Defines the logical filesystem node for incoming data-streams"
},
{
"id": 19,
"label": "Batch output directory",
"localized": "Egress Terminal Path",
"reload": "n/a",
"hint": "The target filesystem endpoint for processed artifacts"
},
{
"id": 20,
"label": "Batch mask directory",
"localized": "Alpha-Channel Array Repository",
"reload": "n/a",
"hint": "Specifies the storage location for secondary segmentation masks"
},
{
"id": 21,
"label": "Background threshold",
"localized": "Luma-Key Isolation Cutoff",
"reload": "n/a",
"hint": "Calibrates the sensitivity of the distal layer extraction"
},
{
"id": 22,
"label": "Boost",
"localized": "Amplification Gain Factor",
"reload": "n/a",
"hint": "Increases the signal-to-noise ratio for specific generative nodes"
},
{
"id": 23,
"label": "Base",
"localized": "Foundational Parameters",
"reload": "n/a",
"hint": "Core configuration variables for the primary diffusion sequence"
},
{
"id": 24,
"label": "Blend strength",
"localized": "Interpolation Weighting",
"reload": "n/a",
"hint": "Determines the coefficient for mixing disparate latent tensors"
},
{
"id": 25,
"label": "Base model",
"localized": "Primary Weights Checkpoint",
"reload": "n/a",
"hint": "The fundamental neural network weights utilized for inference"
},
{
"id": 26,
"label": "Backend",
"localized": "Compute Runtime Engine",
"reload": "n/a",
"hint": "Selects the specific execution environment for tensor operations"
},
{
"id": 27,
"label": "Benchmark steps",
"localized": "Iteration Cycles Count",
"reload": "n/a",
"hint": "Defines the number of sampling steps for the diagnostic phase"
},
{
"id": 28,
"label": "Benchmark level",
"localized": "Diagnostic Depth Tier",
"reload": "n/a",
"hint": "Sets the intensity of the performance evaluation routine"
},
{
"id": 29,
"label": "balanced",
"localized": "Optimized Balance",
"reload": "n/a",
"hint": "Maintains a stable ratio between latency and throughput"
},
{
"id": 30,
"label": "block_level",
"localized": "Hierarchical Node Depth",
"reload": "n/a",
"hint": "Sets the depth of the offload strategy within the UNet blocks"
},
{
"id": 31,
"label": "Backend storage",
"localized": "Trained Weights Repository",
"reload": "n/a",
"hint": "Defines the persistence layer for the model quantization state"
},
{
"id": 32,
"label": "BF16",
"localized": "Bfloat16 Precision Mode",
"reload": "n/a",
"hint": "Implements Brain Floating-Point 16 for high-dynamic-range compute"
},
{
"id": 33,
"label": "Batch matrix-matrix",
"localized": "Standard GEMM Multiplication",
"reload": "n/a",
"hint": "Executes traditional General Matrix Multiply kernels for cross-attention"
},
{
"id": 34,
"label": "BCFHW",
"localized": "T5 Tensor Layout (Batch-Channel-Frame-Height-Width)",
"reload": "n/a",
"hint": "Configures the spatial-temporal dimension ordering for video tensors"
},
{
"id": 35,
"label": "BFCHW",
"localized": "Standard Feature Ordering (Batch-Frame-Channel-Height-Width)",
"reload": "n/a",
"hint": "Arranges dimensions for standard frame-based processing"
},
{
"id": 36,
"label": "BCHW",
"localized": "Static Spatial Layout (Batch-Channel-Height-Width)",
"reload": "n/a",
"hint": "The default 4D tensor format for image-based inference"
},
{
"id": 37,
"label": "Batch mode uses sequential seeds",
"localized": "Deterministic Seed Progression",
"reload": "n/a",
"hint": "Ensures linear increments in the PRNG for batch reproducibility"
},
{
"id": 38,
"label": "Batch uses original name",
"localized": "Filenames Metadata Preservation",
"reload": "n/a",
"hint": "Retains the initial string identifier from the source files"
},
{
"id": 39,
"label": "Base images folder",
"localized": "Primary Visual Artifact Path",
"reload": "n/a",
"hint": "The root directory for synthesized image output"
},
{
"id": 40,
"label": "Base grids folder",
"localized": "Tiled Matrix Output Path",
"reload": "n/a",
"hint": "The root directory for the consolidated image grid artifacts"
},
{
"id": 41,
"label": "Build info on first access",
"localized": "Lazy Initialization Build",
"reload": "n/a",
"hint": "Defers the metadata compilation until the initial UI request event"
},
{
"id": 42,
"label": "Beta Ratio",
"localized": "Noise Coefficient Ratio",
"reload": "n/a",
"hint": "Modulates the fractional relationship between noise steps"
},
{
"id": 43,
"label": "BETA Block Weight Preset",
"localized": "Experimental Layer Weight Profiles",
"reload": "n/a",
"hint": "Applies pre-configured weight distributions for the Beta Unet phase"
},
{
"id": 44,
"label": "Base model type",
"localized": "Architecture Classification",
"reload": "n/a",
"hint": "Identifies the structural category of the neural weights"
}
],
"c": [
{
"id": 0,
"label": "caption_nav",
"localized": "Semantic Tagging Matrix",
"reload": "",
"hint": "Synthesize high-fidelity descriptive metadata from visual data buffers"
},
{
"id": 1,
"label": "contributors",
"localized": "Subroutine Architects",
"reload": "",
"hint": ""
},
{
"id": 2,
"label": "txt2img_clear_prompt_btn",
"localized": "Purge",
"reload": "",
"hint": "Flush all current linguistic input buffers"
},
{
"id": 3,
"label": "component-940",
"localized": "Query Lifecycle Status",
"reload": "",
"hint": ""
},
{
"id": 4,
"label": "",
"localized": "Neural Layer Compositor",
"reload": "",
"hint": ""
},
{
"id": 5,
"label": "control_params_elements",
"localized": "Guidance Parameters",
"reload": "",
"hint": "Execute generation with deterministic spatial constraints"
},
{
"id": 6,
"label": "",
"localized": "ControlNet",
"reload": "",
"hint": "Advanced hyper-network for structural conditioning"
},
{
"id": 7,
"label": "caption_tab_controls",
"localized": "Parameter Array",
"reload": "",
"hint": ""
},
{
"id": 8,
"label": "",
"localized": "Iterative Tagging",
"reload": "",
"hint": ""
},
{
"id": 9,
"label": "btn_console",
"localized": "Kernel Terminal",
"reload": "",
"hint": ""
},
{
"id": 10,
"label": "ui_update_check",
"localized": "Check System Revisions",
"reload": "",
"hint": ""
},
{
"id": 11,
"label": "",
"localized": "Revision Manifest",
"reload": "",
"hint": ""
},
{
"id": 12,
"label": "",
"localized": "Compute Topology",
"reload": "",
"hint": "Global configuration for floating-point precision, attention mechanisms, and hardware optimization"
},
{
"id": 13,
"label": "",
"localized": "Current State",
"reload": "",
"hint": "Analyze internal weight distribution of the active inference model"
},
{
"id": 14,
"label": "",
"localized": "CivitAI Repository",
"reload": "",
"hint": "Interface for remote asset acquisition from the CivitAI network"
},
{
"id": 15,
"label": "component-5503",
"localized": "Compute Missing Hashsums",
"reload": "",
"hint": ""
},
{
"id": 16,
"label": "",
"localized": "Neural Collective",
"reload": "",
"hint": ""
},
{
"id": 17,
"label": "",
"localized": "Distributed Node",
"reload": "",
"hint": ""
},
{
"id": 18,
"label": "txt2img_extra_details_close_desc",
"localized": "Terminate View",
"reload": "",
"hint": ""
},
{
"id": 19,
"label": "change_checkpoint",
"localized": "Switch Base Model",
"reload": "",
"hint": ""
},
{
"id": 20,
"label": "change_refiner",
"localized": "Switch Refinement Model",
"reload": "",
"hint": ""
},
{
"id": 21,
"label": "change_vae",
"localized": "Switch VAE Engine",
"reload": "",
"hint": ""
},
{
"id": 22,
"label": "change_reference",
"localized": "Switch Reference Latents",
"reload": "",
"hint": ""
},
{
"id": 23,
"label": "",
"localized": "Spectral Corrections",
"reload": "",
"hint": "Active modulation of chrominance and luminance during the sampling cycle"
},
{
"id": 24,
"label": "",
"localized": "Control Methodologies",
"reload": "",
"hint": ""
},
{
"id": 25,
"label": "",
"localized": "Control Input Source",
"reload": "",
"hint": "Inject an external visual buffer for structural initialization"
},
{
"id": 26,
"label": "",
"localized": "ChronoEdit",
"reload": "",
"hint": ""
},
{
"id": 27,
"label": "",
"localized": "Cross-Attention Bridge",
"reload": "",
"hint": ""
},
{
"id": 28,
"label": "",
"localized": "CLIP Skip Rate",
"reload": "",
"hint": "Premature exit index for the CLIP text encoder; 1 denotes the final layer, 2 denotes the penultimate, etc."
},
{
"id": 29,
"label": "",
"localized": "Cache-DiT",
"reload": "",
"hint": ""
},
{
"id": 30,
"label": "",
"localized": "CFG-Zero Latency",
"reload": "",
"hint": ""
},
{
"id": 31,
"label": "",
"localized": "Cache Directories",
"reload": "",
"hint": ""
},
{
"id": 32,
"label": "",
"localized": "External Model Loader",
"reload": "",
"hint": ""
},
{
"id": 33,
"label": "",
"localized": "Client Execution Log",
"reload": "",
"hint": ""
},
{
"id": 34,
"label": "",
"localized": "CLIP Semantic Analysis",
"reload": "",
"hint": ""
},
{
"id": 35,
"label": "",
"localized": "Latent Context",
"reload": "",
"hint": ""
},
{
"id": 36,
"label": "",
"localized": "Correction Algorithm",
"reload": "",
"hint": ""
},
{
"id": 37,
"label": "",
"localized": "Chromaticity",
"reload": "",
"hint": ""
},
{
"id": 38,
"label": "",
"localized": "Centroid Alignment",
"reload": "",
"hint": ""
},
{
"id": 39,
"label": "",
"localized": "Color Grading Matrix",
"reload": "",
"hint": ""
},
{
"id": 40,
"label": "",
"localized": "Portrait Aspect Crop",
"reload": "",
"hint": "Geometric normalization of input buffer for IP-Adapter compatibility"
},
{
"id": 41,
"label": "",
"localized": "Concept Tokens",
"reload": "",
"hint": ""
},
{
"id": 42,
"label": "",
"localized": "Heatmap Distribution",
"reload": "",
"hint": ""
},
{
"id": 43,
"label": "",
"localized": "Cosine Scalar I",
"reload": "",
"hint": ""
},
{
"id": 44,
"label": "",
"localized": "Cosine Scalar II",
"reload": "",
"hint": ""
},
{
"id": 45,
"label": "",
"localized": "Cosine Scalar III",
"reload": "",
"hint": ""
},
{
"id": 46,
"label": "",
"localized": "Model Cache Residency",
"reload": "",
"hint": ""
},
{
"id": 47,
"label": "",
"localized": "Cosine Scale Factor",
"reload": "",
"hint": ""
},
{
"id": 48,
"label": "",
"localized": "Cosine Background Bias",
"reload": "",
"hint": ""
},
{
"id": 49,
"label": "",
"localized": "Control Guidance Magnitude",
"reload": "",
"hint": ""
},
{
"id": 50,
"label": "",
"localized": "Luminance Contrast",
"reload": "",
"hint": ""
},
{
"id": 51,
"label": "",
"localized": "Delimiter: Comma",
"reload": "",
"hint": ""
},
{
"id": 52,
"label": "",
"localized": "Columnar Grid",
"reload": "",
"hint": ""
},
{
"id": 53,
"label": "",
"localized": "Compile Video Stream",
"reload": "",
"hint": ""
},
{
"id": 54,
"label": "",
"localized": "Censor Logic",
"reload": "",
"hint": ""
},
{
"id": 55,
"label": "",
"localized": "Language Validation",
"reload": "",
"hint": ""
},
{
"id": 56,
"label": "",
"localized": "Policy Compliance Scan",
"reload": "",
"hint": ""
},
{
"id": 57,
"label": "",
"localized": "Lexical Blacklist Filter",
"reload": "",
"hint": ""
},
{
"id": 58,
"label": "",
"localized": "Preprocess Control Buffers",
"reload": "",
"hint": ""
},
{
"id": 59,
"label": "",
"localized": "Denoising Override",
"reload": "",
"hint": ""
},
{
"id": 60,
"label": "",
"localized": "Chromatic Variation",
"reload": "",
"hint": ""
},
{
"id": 61,
"label": "",
"localized": "Temporal Delta Rate",
"reload": "",
"hint": ""
},
{
"id": 62,
"label": "",
"localized": "Post-Context Window",
"reload": "",
"hint": ""
},
{
"id": 63,
"label": "",
"localized": "Contextual Alpha Mask",
"reload": "",
"hint": ""
},
{
"id": 64,
"label": "",
"localized": "Isolate Control Input",
"reload": "",
"hint": "Bypasses primary latent initialization in favor of ControlNet or IP-Adapter source buffers."
},
{
"id": 65,
"label": "",
"localized": "CN Processing Mode",
"reload": "",
"hint": ""
},
{
"id": 66,
"label": "",
"localized": "CN Influence Strength",
"reload": "",
"hint": ""
},
{
"id": 67,
"label": "",
"localized": "CN Temporal Start",
"reload": "",
"hint": ""
},
{
"id": 68,
"label": "",
"localized": "CN Temporal End",
"reload": "",
"hint": ""
},
{
"id": 69,
"label": "",
"localized": "CN Tiling Array",
"reload": "",
"hint": ""
},
{
"id": 70,
"label": "",
"localized": "Control Weighting Factor",
"reload": "",
"hint": ""
},
{
"id": 71,
"label": "",
"localized": "ControlNet-XS Architecture",
"reload": "",
"hint": ""
},
{
"id": 72,
"label": "",
"localized": "Coarse Grain Resolution",
"reload": "",
"hint": ""
},
{
"id": 73,
"label": "",
"localized": "Chromatic Mapping",
"reload": "",
"hint": ""
},
{
"id": 74,
"label": "",
"localized": "Crop to Fit Resolution",
"reload": "",
"hint": "Adjusts source aspect ratios to target dimensions by discarding peripheral pixels during upscaling."
},
{
"id": 75,
"label": "",
"localized": "CLIP Engine Model",
"reload": "",
"hint": "Neural model for cross-modal similarity scoring. High-density models increase accuracy at the cost of VRAM."
},
{
"id": 76,
"label": "",
"localized": "Caption Generation Engine",
"reload": "",
"hint": "BLIP-based semantic analyzer that creates a base description for CLIP refinement."
},
{
"id": 77,
"label": "",
"localized": "Buffer Chunk Size",
"reload": "",
"hint": "Batch size for processing semantic flavors. Increases throughput but consumes significant GPU memory."
},
{
"id": 78,
"label": "",
"localized": "CLIP Beam Width",
"reload": "",
"hint": "Determines the search breadth during semantic generation for higher descriptive precision."
},
{
"id": 79,
"label": "",
"localized": "Token Confidence Threshold",
"reload": "",
"hint": "Probability floor for character-specific tag inclusion. Low values increase recall; high values increase precision."
},
{
"id": 80,
"label": "",
"localized": "Cross-Attention Matrix",
"reload": "",
"hint": ""
},
{
"id": 81,
"label": "",
"localized": "CPU (Host) Execution",
"reload": "",
"hint": "Offloads all compute to the CPU; maximizes stability at the cost of extreme latency."
},
{
"id": 82,
"label": "",
"localized": "RAM Resident Models",
"reload": "",
"hint": "Number of weights kept in host memory for zero-latency switching."
},
{
"id": 83,
"label": "",
"localized": "Combined Pipeline",
"reload": "",
"hint": ""
},
{
"id": 84,
"label": "",
"localized": "Compression Ratio",
"reload": "",
"hint": ""
},
{
"id": 85,
"label": "",
"localized": "Compel Syntax",
"reload": "",
"hint": ""
},
{
"id": 86,
"label": "",
"localized": "Channels-Last Memory Layout",
"reload": "",
"hint": ""
},
{
"id": 87,
"label": "",
"localized": "cuDNN Depth Benchmark",
"reload": "",
"hint": ""
},
{
"id": 88,
"label": "",
"localized": "cuDNN Benchmark Limit",
"reload": "",
"hint": ""
},
{
"id": 89,
"label": "",
"localized": "cudaMallocAsync Allocator",
"reload": "",
"hint": "Enables asynchronous memory allocation to reduce fragmentation and overhead on modern GPUs."
},
{
"id": 90,
"label": "",
"localized": "CLIP Skip Active",
"reload": "",
"hint": ""
},
{
"id": 91,
"label": "",
"localized": "Cache-DiT Logic Active",
"reload": "",
"hint": ""
},
{
"id": 92,
"label": "",
"localized": "Cache-DiT Forward Blocks",
"reload": "",
"hint": ""
},
{
"id": 93,
"label": "",
"localized": "Cache-DiT Backward Blocks",
"reload": "",
"hint": ""
},
{
"id": 94,
"label": "",
"localized": "Residual Threshold Delta",
"reload": "",
"hint": ""
},
{
"id": 95,
"label": "",
"localized": "Warmup Iterations",
"reload": "",
"hint": ""
},
{
"id": 96,
"label": "",
"localized": "CFG-Zero Active",
"reload": "",
"hint": ""
},
{
"id": 97,
"label": "",
"localized": "CFG-Zero Star Bias",
"reload": "",
"hint": ""
},
{
"id": 98,
"label": "",
"localized": "CFG-Zero Step Count",
"reload": "",
"hint": ""
},
{
"id": 99,
"label": "",
"localized": "CUDA Graph Optimization",
"reload": "",
"hint": ""
},
{
"id": 100,
"label": "",
"localized": "Flush Volatile Storage",
"reload": "",
"hint": ""
},
{
"id": 101,
"label": "",
"localized": "Archive Batch as ZIP",
"reload": "",
"hint": ""
},
{
"id": 102,
"label": "",
"localized": "Spatial Cover",
"reload": "",
"hint": "Scales buffer to fill the entire target canvas."
},
{
"id": 103,
"label": "",
"localized": "Minimalist UI View",
"reload": "",
"hint": ""
},
{
"id": 104,
"label": "",
"localized": "Text Encoder Cache",
"reload": "",
"hint": ""
},
{
"id": 105,
"label": "",
"localized": "Spatial Contain",
"reload": "",
"hint": ""
},
{
"id": 106,
"label": "",
"localized": "Control Word Delimiters",
"reload": "",
"hint": ""
},
{
"id": 107,
"label": "",
"localized": "Attention Modifier Precision",
"reload": "",
"hint": ""
},
{
"id": 108,
"label": "",
"localized": "Network Weight Precision",
"reload": "",
"hint": ""
},
{
"id": 109,
"label": "",
"localized": "Cached VAE Weights",
"reload": "",
"hint": ""
},
{
"id": 110,
"label": "",
"localized": "Checkpoint Format",
"reload": "",
"hint": ""
},
{
"id": 111,
"label": "",
"localized": "LoRA Weight Array",
"reload": "",
"hint": ""
},
{
"id": 112,
"label": "",
"localized": "CivitAI Access Token",
"reload": "",
"hint": ""
},
{
"id": 113,
"label": "",
"localized": "Custom Inference Pipeline",
"reload": "",
"hint": ""
},
{
"id": 114,
"label": "",
"localized": "Custom Weights Model",
"reload": "",
"hint": ""
},
{
"id": 115,
"label": "",
"localized": "ControlNet Unit I",
"reload": "",
"hint": ""
},
{
"id": 116,
"label": "",
"localized": "ControlNet Unit II",
"reload": "",
"hint": ""
},
{
"id": 117,
"label": "",
"localized": "ControlNet Unit III",
"reload": "",
"hint": ""
},
{
"id": 118,
"label": "",
"localized": "ControlNet Unit IV",
"reload": "",
"hint": ""
},
{
"id": 119,
"label": "",
"localized": "ControlNet-XS Unit I",
"reload": "",
"hint": ""
},
{
"id": 120,
"label": "",
"localized": "ControlNet-XS Unit II",
"reload": "",
"hint": ""
},
{
"id": 121,
"label": "",
"localized": "ControlNet-XS Unit III",
"reload": "",
"hint": ""
},
{
"id": 122,
"label": "",
"localized": "ControlNet-XS Unit IV",
"reload": "",
"hint": ""
},
{
"id": 123,
"label": "",
"localized": "Control-LLLite Unit I",
"reload": "",
"hint": ""
},
{
"id": 124,
"label": "",
"localized": "Control-LLLite Unit II",
"reload": "",
"hint": ""
},
{
"id": 125,
"label": "",
"localized": "Control-LLLite Unit III",
"reload": "",
"hint": ""
},
{
"id": 126,
"label": "",
"localized": "Control-LLLite Unit IV",
"reload": "",
"hint": ""
},
{
"id": 127,
"label": "",
"localized": "Guidance Node Settings",
"reload": "",
"hint": ""
},
{
"id": 128,
"label": "",
"localized": "Canny Edge Detection",
"reload": "",
"hint": ""
},
{
"id": 129,
"label": "",
"localized": "Conditioning State",
"reload": "",
"hint": ""
},
{
"id": 130,
"label": "",
"localized": "Batch Semantic Processor",
"reload": "",
"hint": ""
},
{
"id": 131,
"label": "",
"localized": "Control Elements",
"reload": "",
"hint": "Structural adapters used to steer the diffusion process via external spatial references"
}
],
"d": [
{
"id": 0,
"label": "Docs",
"localized": "Knowledge Base Access",
"reload": "",
"hint": "Retrieves encoded technical documentation for system architecture."
},
{
"id": 0,
"label": "Discord",
"localized": "Neural Sync Hub",
"reload": "",
"hint": "Synchronizes with the community-based distributed intelligence network."
},
{
"id": 110,
"label": "Detail",
"localized": "Sub-Pixel Enhancement",
"reload": "",
"hint": "Executes a high-fidelity recursive generation pass on localized spatial coordinates."
},
{
"id": 0,
"label": "Delete",
"localized": "De-allocate Memory",
"reload": "",
"hint": "Initiates a permanent purge of the current buffer metadata."
},
{
"id": 0,
"label": "Default",
"localized": "Base Initialization",
"reload": "",
"hint": "Resets the heuristic state to primary factory parameters."
},
{
"id": 111,
"label": "Download updates",
"localized": "Patch Binary Stream",
"reload": "",
"hint": "Synchronizes local core logic with the remote master repository."
},
{
"id": 112,
"label": "Download model",
"localized": "Ingest Weights",
"reload": "",
"hint": "Pulls a quantized neural weight distribution into local storage."
},
{
"id": 0,
"label": "Diffusers",
"localized": "Diffusion Framework",
"reload": "",
"hint": "Utilizes the HuggingFace-based diffusion architecture for latent space traversal."
},
{
"id": 0,
"label": "Distilled",
"localized": "Condensed Weights",
"reload": "",
"hint": "Utilizes a model with optimized teacher-student distillation parameters."
},
{
"id": 0,
"label": "Description",
"localized": "Metadata Summary",
"reload": "",
"hint": "Displays the linguistic summary of the current object's attributes."
},
{
"id": 113,
"label": "Details",
"localized": "Granular Refinement",
"reload": "",
"hint": "Toggles visibility of fine-grained architectural parameters."
},
{
"id": 0,
"label": "Detailer",
"localized": "Post-Processing Refiner",
"reload": "",
"hint": "Applies a secondary inference pass at enhanced resolution for identified geometric clusters."
},
{
"id": 0,
"label": "Denoise",
"localized": "Entropy Reduction",
"reload": "",
"hint": "Configures the stochastic variance threshold for iterative denoising cycles."
},
{
"id": 0,
"label": "DirectML",
"localized": "DML Backend",
"reload": "",
"hint": "Enables the Microsoft Direct Machine Learning hardware abstraction layer."
},
{
"id": 0,
"label": "Download model from huggingface",
"localized": "HF Weights Ingestion",
"reload": "",
"hint": "Requests a neural distribution file from the HuggingFace cloud infrastructure."
},
{
"id": 0,
"label": "Dropdown",
"localized": "Selection Array",
"reload": "",
"hint": "An interactive interface element for selecting discrete configuration states."
},
{
"id": 0,
"label": "dynamic",
"localized": "Adaptive Shifting",
"reload": "",
"hint": "Dynamically recalibrates the flow-shifting schedule based on real-time spatial resolution metrics."
},
{
"id": 0,
"label": "Detailer models",
"localized": "Refinement Checkpoints",
"reload": "",
"hint": "Designates the specialized detection weights for the post-processing phase."
},
{
"id": 0,
"label": "Detailer list",
"localized": "Refinement Queue",
"reload": "",
"hint": "Displays the current stack of active refinement modules."
},
{
"id": 0,
"label": "Detailer classes",
"localized": "Target Classifiers",
"reload": "",
"hint": "Filters the detection algorithm to specific semantic categories in the latent space."
},
{
"id": 0,
"label": "Detailer prompt",
"localized": "Refinement Tokenization",
"reload": "",
"hint": "Overrides the global prompt for localized refinement passes."
},
{
"id": 0,
"label": "Detailer negative prompt",
"localized": "Refinement Exclusion",
"reload": "",
"hint": "Overrides the global negative prompt for localized refinement passes."
},
{
"id": 0,
"label": "Detailer steps",
"localized": "Refinement Cycles",
"reload": "",
"hint": "Quantifies the number of iterative denoising passes for the refinement sub-process."
},
{
"id": 0,
"label": "Detailer strength",
"localized": "Refinement Variance",
"reload": "",
"hint": "Determines the degree of deviation allowed during the refinement inference pass."
},
{
"id": 0,
"label": "Detailer resolution",
"localized": "Refinement Dimensions",
"reload": "",
"hint": "Sets the pixel density for the localized enhancement process."
},
{
"id": 0,
"label": "Denoising batch size",
"localized": "Parallel Entropy Reduction",
"reload": "",
"hint": "Calculates the number of concurrent denoising operations in a single compute cycle."
},
{
"id": 0,
"label": "Dilate tau",
"localized": "Temporal Dilation Factor",
"reload": "",
"hint": "Adjusts the temporal constant for scale-free latent interpolation."
},
{
"id": 0,
"label": "Draw legend",
"localized": "Render Metadata Overlay",
"reload": "",
"hint": "Superimposes a visual key mapping for the generated output matrix."
},
{
"id": 0,
"label": "Denoising strength",
"localized": "Stochastic Variance Intensity",
"reload": "",
"hint": "Regulates the algorithm's deviation from the initial latent state. A value of 0 preserves identity, while 1 maximizes novelty."
},
{
"id": 0,
"label": "Denoise start",
"localized": "Phase Transition Offset",
"reload": "",
"hint": "Defines the temporal coordinate where the primary model cedes control to the refiner."
},
{
"id": 0,
"label": "down",
"localized": "Negative Y-Axis",
"reload": "",
"hint": "Extends the canvas toward the lower vertical boundary."
},
{
"id": 0,
"label": "Decode chunks",
"localized": "Segmented VAE Tiling",
"reload": "",
"hint": "Processes the latent video stream in discrete temporal segments."
},
{
"id": 0,
"label": "Dilate",
"localized": "Morphological Expansion",
"reload": "",
"hint": "Applies a kernel-based expansion to the pixel mask boundaries."
},
{
"id": 0,
"label": "Depth and normal",
"localized": "Spatial Geometry Mapping",
"reload": "",
"hint": "Extracts both Z-buffer depth and surface orientation vectors from the visual data."
},
{
"id": 0,
"label": "Distance threshold",
"localized": "Proximity Limit",
"reload": "",
"hint": "Sets the Euclidean distance cutoff for the detection algorithm."
},
{
"id": 0,
"label": "Depth threshold",
"localized": "Z-Buffer Cutoff",
"reload": "",
"hint": "Configures the sensitivity threshold for the depth-based geometry engine."
},
{
"id": 0,
"label": "Denoising steps",
"localized": "Inference Iterations",
"reload": "",
"hint": "The quantity of discrete cycles required to resolve the latent noise into a coherent signal."
},
{
"id": 0,
"label": "Depth map",
"localized": "Z-Buffer Projection",
"reload": "",
"hint": "Visualizes the distance of objects from the focal plane as a grayscale gradient."
},
{
"id": 0,
"label": "Dynamic shift",
"localized": "Kinetic Flow Recalibration",
"reload": "",
"hint": "Automates the adjustment of temporal flow vectors in video generation."
},
{
"id": 0,
"label": "Duration",
"localized": "Temporal Magnitude",
"reload": "",
"hint": "Specifies the total length of the sequence in temporal units."
},
{
"id": 0,
"label": "Device Info",
"localized": "Hardware Telemetry",
"reload": "",
"hint": "Displays real-time hardware diagnostics and resource allocation."
},
{
"id": 0,
"label": "Diffusers load using Run:ai streamer",
"localized": "Streamer-Optimized Ingestion",
"reload": "",
"hint": "Utilizes the Run:ai streaming protocol for accelerated model loading."
},
{
"id": 0,
"label": "Disable accelerate",
"localized": "Bypass CUDA Acceleration",
"reload": "",
"hint": "Disables the high-level optimization wrappers for raw tensor operations."
},
{
"id": 0,
"label": "Disable T5 text encoder",
"localized": "Bypass T5 Transformer",
"reload": "",
"hint": "Prevents the loading of the large language model encoder to conserve VRAM."
},
{
"id": 0,
"label": "Dynamic loss threshold",
"localized": "Adaptive Quantization Loss",
"reload": "",
"hint": "Dynamically adjusts the precision loss floor during quantized inference."
},
{
"id": 0,
"label": "Dequantize using torch.compile",
"localized": "JIT Dequantization",
"reload": "",
"hint": "Uses Torch Just-In-Time compilation to handle bit-depth restoration."
},
{
"id": 0,
"label": "Dequantize using full precision",
"localized": "FP32 Restoration",
"reload": "",
"hint": "Restores quantized weights to 32-bit floating point precision."
},
{
"id": 0,
"label": "Disabled",
"localized": "Inactive State",
"reload": "",
"hint": "Deactivates the specified functional module."
},
{
"id": 0,
"label": "Dynamic Attention BMM",
"localized": "Segmented Batch Matrix Multiplication",
"reload": "",
"hint": "Serializes the attention mechanism to reduce the peak memory footprint at the cost of throughput."
},
{
"id": 0,
"label": "Dynamic attention",
"localized": "Adaptive VRAM Allocation",
"reload": "",
"hint": "Modulates the attention mechanism's memory usage dynamically per inference step."
},
{
"id": 0,
"label": "Dynamic Attention slicing rate",
"localized": "Slicing Frequency",
"reload": "",
"hint": "Sets the granularity of the attention mechanism's temporal slicing."
},
{
"id": 0,
"label": "Dynamic Attention trigger rate",
"localized": "Activation Threshold",
"reload": "",
"hint": "Sets the VRAM consumption point that triggers the dynamic attention fallback."
},
{
"id": 0,
"label": "Deterministic mode",
"localized": "Fixed Entropy Seed",
"reload": "",
"hint": "Disables non-deterministic CUDA kernels to ensure exact bit-for-bit reproducibility."
},
{
"id": 0,
"label": "DirectML retry ops for NaN",
"localized": "DML Error Recovery",
"reload": "",
"hint": "Automatically retries operations when Not-a-Number (NaN) errors are detected in the DML pipeline."
},
{
"id": 0,
"label": "deep-cache",
"localized": "Deep-Level Tensor Caching",
"reload": "",
"hint": "Implements a multi-level caching system for deep neural layers to accelerate generation."
},
{
"id": 0,
"label": "DeepCache cache interval",
"localized": "Cache Refresh Periodicity",
"reload": "",
"hint": "Determines how many steps are skipped between deep-layer cache updates."
},
{
"id": 0,
"label": "Directory for temporary images; leave empty for default",
"localized": "Buffer Storage Path",
"reload": "",
"hint": "The file system location for volatile image data."
},
{
"id": 0,
"label": "Do not display video output in UI",
"localized": "Headless Video Processing",
"reload": "",
"hint": "Suppresses the rendering of the video stream in the local interface."
},
{
"id": 0,
"label": "Directory name pattern",
"localized": "Naming Heuristics",
"reload": "",
"hint": "Defines the lexical structure for file system organization using bracketed metadata tokens."
},
{
"id": 0,
"label": "Dark",
"localized": "Luminance Minimized",
"reload": "",
"hint": "Applies a low-light visual skin to the interface."
},
{
"id": 0,
"label": "Disabled UI tabs",
"localized": "Hidden Modules",
"reload": "",
"hint": "Prevents the initialization of specified interface containers."
},
{
"id": 0,
"label": "Disable variable aspect ratio",
"localized": "Fixed Aspect Constraints",
"reload": "",
"hint": "Forces the interface to conform to standard geometric ratios."
},
{
"id": 0,
"label": "Desktop",
"localized": "Workstation Environment",
"reload": "",
"hint": "Optimizes the UI layout for high-resolution desktop displays."
},
{
"id": 0,
"label": "Downscale high resolution live previews",
"localized": "Preview Sub-Sampling",
"reload": "",
"hint": "Reduces the visual fidelity of real-time generation previews to conserve bandwidth."
},
{
"id": 0,
"label": "Detailer use model augment",
"localized": "Enhanced Precision Detection",
"reload": "",
"hint": "Enables FP16/FP32 augmentation for the object detection sub-routine."
},
{
"id": 0,
"label": "Default strength",
"localized": "Primary Multiplier",
"reload": "",
"hint": "The base scalar applied to external neural weights (LoRA) within the prompt."
},
{
"id": 0,
"label": "Do not change selected model when reading generation parameters",
"localized": "Lock Current Weights",
"reload": "",
"hint": "Prevents the system from switching the active checkpoint when importing metadata."
},
{
"id": 0,
"label": "Do conditional and unconditional denoising in one batch",
"localized": "Unified Batch Inference",
"reload": "",
"hint": "Combines CFG positive and negative passes into a single matrix operation."
},
{
"id": 0,
"label": "Disable NaN check",
"localized": "Bypass Overflow Validation",
"reload": "",
"hint": "Suppresses the safety check for numerical instabilities in the tensor flow."
},
{
"id": 0,
"label": "Disallow models in ckpt format",
"localized": "Legacy Binary Exclusion",
"reload": "",
"hint": "Forces the use of safe-tensor formats and blocks legacy pickle-based files."
},
{
"id": 0,
"label": "Default upscaler for image resize operations",
"localized": "Base Interpolation Algorithm",
"reload": "",
"hint": "The primary algorithm used for geometric resolution transformations."
},
{
"id": 0,
"label": "Debug info",
"localized": "System Verbosity",
"reload": "",
"hint": "Outputs low-level diagnostic logs for troubleshooting."
},
{
"id": 0,
"label": "Download folder",
"localized": "Ingestion Target",
"reload": "",
"hint": "The local destination for newly acquired neural weights."
},
{
"id": 0,
"label": "DWPose",
"localized": "Distilled Whole-Body Pose",
"reload": "",
"hint": "An optimized estimator for human skeletal geometry."
},
{
"id": 0,
"label": "Depth Anything",
"localized": "Universal Monocular Depth",
"reload": "",
"hint": "A generalized model for extracting depth buffers from any visual input."
},
{
"id": 0,
"label": "Depth Pro",
"localized": "High-Fidelity Metric Depth",
"reload": "",
"hint": "An advanced engine for high-precision Z-axis reconstruction."
},
{
"id": 0,
"label": "Decode",
"localized": "VAE Latent Restoration",
"reload": "",
"hint": "Translates the compressed latent representation back into the pixel domain."
}
],
"e": [
{
"id": 843,
"label": "Enhance prompt",
"localized": "Synthesize Lexical Augmentation",
"reload": "script_flux_prompt_enhance_(legacy)",
"hint": "Initiate heuristic expansion of the semantic vector space via high-order LLM iteration."
},
{
"id": 0,
"label": "Enhance now",
"localized": "Execute Hyper-Heuristics",
"reload": "script_prompt_enhance",
"hint": "Trigger the localized LLM subsystem to perform stochastic recursive optimization on the current prompt string."
},
{
"id": 0,
"label": "Extensions",
"localized": "Modular Subroutines",
"reload": "",
"hint": "Interface for the integration of third-party algorithmic expansion modules."
},
{
"id": 0,
"label": "Extract LoRA",
"localized": "Decompile Low-Rank Adaptation",
"reload": "",
"hint": "Isolate the synaptic weight differentials from the base model architecture."
},
{
"id": 0,
"label": "Embedded metadata",
"localized": "Encoded Header Telemetry",
"reload": "",
"hint": "Extraction of serialized latent configuration parameters from the binary file header."
},
{
"id": 0,
"label": "Extension list",
"localized": "Registry of Active Modules",
"reload": "component-8571",
"hint": "A comprehensive index of currently initialized algorithmic extensions."
},
{
"id": 0,
"label": "Execution Precision",
"localized": "Floating-Point Quantization",
"reload": "settings_cuda",
"hint": "Configure the bit-depth of the tensor compute kernels for optimized throughput."
},
{
"id": 0,
"label": "Embeddings",
"localized": "Latent Vector Manifolds",
"reload": "settings_extra_networks",
"hint": "Management interface for the injection of specialized textual inversion embeddings."
},
{
"id": 0,
"label": "Extract currently loaded LoRA(s)",
"localized": "Siphon Runtime Adaptations",
"reload": "component-5745",
"hint": "Retrieve the active delta-weight matrices from the VRAM allocation."
},
{
"id": 0,
"label": "Enable LayerSkipConfig",
"localized": "Activate Synaptic Pruning",
"reload": "txt2img",
"hint": "Engage selective skip-connections within the transformer block architecture."
},
{
"id": 0,
"label": "Enable refine pass",
"localized": "Secondary Diffusion Refinement",
"reload": "txt2img",
"hint": "Utilize a high-resolution diffusion pass to stabilize local manifold variance and enhance high-frequency detail."
},
{
"id": 0,
"label": "Enable detailer pass",
"localized": "Localized Object Rectification",
"reload": "txt2img",
"hint": "Execute a targeted inpainting sub-routine on detected semantic regions at native resolution."
},
{
"id": 0,
"label": "Edge padding",
"localized": "Peripheral Buffer Margin",
"reload": "txt2img",
"hint": "Define the radial expansion coefficient for the segmentation mask perimeter."
},
{
"id": 0,
"label": "Edge blur",
"localized": "Gaussian Boundary Softening",
"reload": "txt2img",
"hint": "Apply a kernel-based convolution to the mask boundaries for seamless latent integration."
},
{
"id": 0,
"label": "End",
"localized": "Termination Threshold",
"reload": "txt2img",
"hint": "Define the temporal cutoff point for the denoising trajectory."
},
{
"id": 0,
"label": "ETA",
"localized": "Temporal Convergence Estimate",
"reload": "script_apg",
"hint": "Projected duration for the completion of the current compute task."
},
{
"id": 0,
"label": "Enable FreeU",
"localized": "Fourier-Space Upsampling",
"reload": "script_consistory",
"hint": "Apply strategic re-weighting to the U-Net skip connections to enhance structural fidelity."
},
{
"id": 0,
"label": "Enable tonemap",
"localized": "Luminance Range Re-mapping",
"reload": "script_hdr",
"hint": "Apply a non-linear compression algorithm to the high-dynamic-range output."
},
{
"id": 0,
"label": "Enabled",
"localized": "Operational State: Active",
"reload": "script_kohya_hires_fix",
"hint": "Engage the specified algorithmic correction layer."
},
{
"id": 0,
"label": "Exposure",
"localized": "Photonic Flux Intensity",
"reload": "script_lut_color_grading",
"hint": "Modulate the simulated sensor integration time for global luminance adjustment."
},
{
"id": 0,
"label": "Encoder",
"localized": "Semantic Translation Engine",
"reload": "script_mulan",
"hint": "The transformer subsystem responsible for mapping natural language to latent vectors."
},
{
"id": 0,
"label": "Enhanced prompt",
"localized": "Augmented Semantic String",
"reload": "script_prompt_enhance",
"hint": "The resultant high-entropy output string generated by the LLM refinement pass."
},
{
"id": 0,
"label": "Edit start",
"localized": "Modification Inception",
"reload": "script_ledits",
"hint": "Define the initial step for the application of localized latent edits."
},
{
"id": 0,
"label": "Edit stop",
"localized": "Modification Cessation",
"reload": "script_ledits",
"hint": "Define the final step for the application of localized latent edits."
},
{
"id": 0,
"label": "Erode",
"localized": "Morphological Contraction",
"reload": "control",
"hint": "Apply a structuring element to diminish the pixel density of binary regions."
},
{
"id": 0,
"label": "edge",
"localized": "Boundary Discontinuity",
"reload": "control",
"hint": "Detect high-frequency transitions in the pixel intensity matrix."
},
{
"id": 0,
"label": "Ensemble size",
"localized": "Stochastic Parallel Count",
"reload": "control",
"hint": "The number of independent diffusion paths computed for consensus averaging."
},
{
"id": 0,
"label": "Enable",
"localized": "Engage Subsystem",
"reload": "video",
"hint": "Initialize the specified processing pipeline."
},
{
"id": 0,
"label": "Erode size",
"localized": "Subtractive Kernel Radius",
"reload": "extras",
"hint": "The dimensional scale of the morphological erosion operation."
},
{
"id": 0,
"label": "Enable PixelArt",
"localized": "Discrete Quantization Filter",
"reload": "extras",
"hint": "Engage a down-sampling algorithm to simulate retro-stylized raster graphics."
},
{
"id": 0,
"label": "Enable edge detection",
"localized": "Discontinuity Analysis Pass",
"reload": "extras",
"hint": "Initialize a Canny or Sobel filter to isolate structural contours."
},
{
"id": 0,
"label": "Edge block size",
"localized": "Segmental Analysis Window",
"reload": "extras",
"hint": "Configure the spatial dimensions for the local edge-detection kernel."
},
{
"id": 0,
"label": "Edge image weight",
"localized": "Contour Influence Scalar",
"reload": "extras",
"hint": "Define the relative importance of the detected edges in the final synthesis."
},
{
"id": 0,
"label": "Escape brackets",
"localized": "Syntax Delimiter Sanitization",
"reload": "caption",
"hint": "Apply backslash-prefixing to special characters to prevent prompt parser collisions."
},
{
"id": 0,
"label": "Exclude tags",
"localized": "Negative Semantic Filter",
"reload": "caption",
"hint": "Define a blacklist of lexical tokens to be purged from the captioning output."
},
{
"id": 0,
"label": "Extension GIT repository URL",
"localized": "Remote Subroutine Source",
"reload": "component-8593",
"hint": "The network address for the version-controlled repository containing the module."
},
{
"id": 0,
"label": "ExecutionProvider.CPU",
"localized": "Central Compute Engine",
"reload": "component-8529",
"hint": "Utilize the general-purpose processor for tensor calculations."
},
{
"id": 0,
"label": "ExecutionProvider.DirectML",
"localized": "DirectX Machine Learning Interface",
"reload": "component-8529",
"hint": "Utilize the hardware-agnostic graphics API for accelerated inference."
},
{
"id": 0,
"label": "ExecutionProvider.CUDA",
"localized": "Parallel Compute Unified Architecture",
"reload": "component-8529",
"hint": "Utilize the proprietary GPU kernel architecture for maximum throughput."
},
{
"id": 0,
"label": "ExecutionProvider.ROCm",
"localized": "Radeon Open Compute Layer",
"reload": "component-8529",
"hint": "Utilize the open-source platform for GPU-accelerated computing."
},
{
"id": 0,
"label": "ExecutionProvider.MIGraphX",
"localized": "Graph Inference Engine",
"reload": "component-8529",
"hint": "Utilize the AMD graph-based optimization backend."
},
{
"id": 0,
"label": "ExecutionProvider.OpenVINO",
"localized": "Intel Visual Inference Optimization",
"reload": "component-8529",
"hint": "Utilize the hardware-optimized toolkit for Intel architectures."
},
{
"id": 0,
"label": "Enable modular pipelines (experimental)",
"localized": "Atomic Component Orchestration",
"reload": "settings_model_options",
"hint": "Initialize the highly-volatile decoupled workflow architecture."
},
{
"id": 0,
"label": "Expandable segments",
"localized": "Elastic Memory Allocation",
"reload": "settings_backends",
"hint": "Allow for dynamic scaling of data-segment buffers within the VRAM."
},
{
"id": 0,
"label": "Enable use of reference models",
"localized": "Contextual Model Referencing",
"reload": "settings_extra_networks",
"hint": "Activate secondary model weights for guided latent generation."
},
{
"id": 0,
"label": "Enable embeddings support",
"localized": "Inversion Vector Integration",
"reload": "settings_extra_networks",
"hint": "Allow the injection of custom lexical embeddings into the text encoder."
},
{
"id": 0,
"label": "Enable file wildcards support",
"localized": "Stochastic Token Injection",
"reload": "settings_extra_networks",
"hint": "Engage the parser to replace file placeholders with randomized lexical tokens."
},
{
"id": 0,
"label": "Extra noise multiplier for img2img",
"localized": "Stochastic Variance Scalar",
"reload": "settings_legacy_options",
"hint": "Apply an additional gain factor to the initial noise distribution."
},
{
"id": 0,
"label": "Embeddings train templates directory",
"localized": "Manifold Training Schema Repository",
"reload": "settings_legacy_options",
"hint": "Filesystem path for the structural templates used in textual inversion training."
},
{
"id": 0,
"label": "Enable Hypernetwork support",
"localized": "Shallow MLP Weight Injection",
"reload": "settings_legacy_options",
"hint": "Activate the application of supplementary multi-layer perceptron weights."
},
{
"id": 0,
"label": "Enable tensorboard logging",
"localized": "Heuristic Telemetry Serialization",
"reload": "settings_legacy_options",
"hint": "Export real-time performance and loss metrics to a visualized dashboard."
}
],
"f": [
{
"id": -1,
"label": "Fixed",
"localized": "Deterministic Resolution Matrix",
"reload": "n/a",
"hint": "Quantize the pixel array to the target resolution manifold. If the dimensional tensors do not align, a skewed aspect ratio projection will occur. "
},
{
"id": -1,
"label": "Folder",
"localized": "Directory Node",
"reload": "n/a",
"hint": ""
},
{
"id": 1,
"label": "FramePack",
"localized": "Temporal Packetization",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Frames",
"localized": "Temporal Indices",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Fallback guidance",
"localized": "Auxiliary Guidance Vector",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU",
"localized": "Fourier-Space Upsampling",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Faster Cache",
"localized": "Low-Latency Buffer",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folders",
"localized": "Directory Repositories",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Fetch model preview metadata",
"localized": "Retrieve Checkpoint Metadata Headers",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Flow shift",
"localized": "Vector Flow Bias",
"reload": "n/a",
"hint": "Modulate the shift parameter for flow-matching latent models. This re-allocates the denoising step distribution across the temporal schedule.
Scaling Factors:
- >1.0: Priorities structural global coherence via early denoising kernels.
- <1.0: Priorities high-frequency micro-details via late-stage denoising refinement.
- 1.0: Isometric balanced schedule.
Default flow-matching architectures typically operate at a bias of 3. This parameter is bypassed if dynamic stochastic shifting is active."
},
{
"id": -1,
"label": "FDG scales",
"localized": "Frequency Domain Guidance Scales",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FDG weights",
"localized": "Frequency Domain Guidance Coefficients",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FDG rescale space",
"localized": "FDG Normalization Manifold",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Force HiRes",
"localized": "Override High-Resolution Synthesis",
"reload": "n/a",
"hint": "Hires.fix triggers automatically on latent-space upscaling; however, it is bypassed for non-latent spatial upscalers. Engage this to enforce a secondary synthesis pass on non-latent upscaled buffers."
},
{
"id": -1,
"label": "FreeU preset",
"localized": "FreeU Configuration Profile",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FaceID Model",
"localized": "Biometric Identity Tensor",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Final strength",
"localized": "Terminal Interpolation Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "full",
"localized": "Full-Precision FP32",
"reload": "n/a",
"hint": "Enforce 32-bit floating point precision across all compute kernels."
},
{
"id": -1,
"label": "Fall-off exponent (lower=higher detail)",
"localized": "Decay Exponent Bias",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Fill strength",
"localized": "Infill Inpainting Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Face",
"localized": "Anatomical Facial Node",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Face confidence",
"localized": "Biometric Validation Threshold",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP model variant",
"localized": "Floating Point Architecture Variant",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP resolution",
"localized": "Floating Point Spatial Resolution",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP duration",
"localized": "Floating Point Temporal Span",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP target FPS",
"localized": "Target Temporal Frequency",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP interpolation",
"localized": "Floating Point Frame Interpolation",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP init strength",
"localized": "Initial Latent Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP end strength",
"localized": "Terminal Latent Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP vision strength",
"localized": "Visual Conditioning Amplitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP section prompts",
"localized": "Segmented Prompt Encodings",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP latent window size",
"localized": "Latent Temporal Window Dimension",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP steps",
"localized": "Inference Iteration Cycles",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP sampler shift",
"localized": "Sampling Schedule Offset",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP CFG scale",
"localized": "Classifier-Free Guidance Amplitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP distilled CFG scale",
"localized": "Distilled Guidance Coefficient",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP CFG re-scale",
"localized": "CFG Normalization Factor",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP system prompt",
"localized": "System-Level Directive Encoding",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP model receipe",
"localized": "Model Architecture Schema",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP enable TeaCache",
"localized": "Initialize TeaCache Buffer",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP use optimized system prompt",
"localized": "Execute Optimized System Directives",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP enable CFGZero",
"localized": "Activate Zero-Shot CFG",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP enable Preview",
"localized": "Engage Real-time VAE Preview",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP attention",
"localized": "Attention Mechanism Kernel",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FP VAE",
"localized": "Variational Autoencoder Node",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FPS",
"localized": "Frames Per Second",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Foreground threshold",
"localized": "Subject Segmentation Threshold",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Frame change sensitivity",
"localized": "Temporal Delta Sensitivity",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Filename",
"localized": "I/O Identifier",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Force model eval",
"localized": "Enforce Evaluation Mode",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "false",
"localized": "Boolean: False",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Full precision (--no-half-vae)",
"localized": "FP32 VAE Mode",
"reload": "n/a",
"hint": "Utilize 32-bit floating point precision for the Autoencoder stage. Mitigates artifacts and NaNs at the cost of significantly higher VRAM consumption."
},
{
"id": -1,
"label": "FP32",
"localized": "Floating Point 32-bit",
"reload": "n/a",
"hint": "Utilize high-precision 32-bit floating point operations for tensor calculations."
},
{
"id": -1,
"label": "FP16",
"localized": "Floating Point 16-bit",
"reload": "n/a",
"hint": "Utilize half-precision 16-bit floating point operations to accelerate inference cycles."
},
{
"id": -1,
"label": "Force full precision (--no-half)",
"localized": "Universal FP32 Override",
"reload": "n/a",
"hint": "Disable half-precision (FP16) optimizations for the main UNet/Transformer core. Maximizes numerical stability."
},
{
"id": -1,
"label": "Flash",
"localized": "Flash Kernel",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Flex attention",
"localized": "Flexible Attention Dispatcher",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Flash attention",
"localized": "Flash-Attention Acceleration",
"reload": "n/a",
"hint": "Optimized attention mechanism utilizing tiling and recomputation to minimize VRAM bandwidth. Note: May introduce non-deterministic variance."
},
{
"id": -1,
"label": "Fused projections",
"localized": "Fused Linear Projections",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU enabled",
"localized": "Engage FreeU Heuristics",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU 1st stage backbone",
"localized": "Primary Backbone Modulation",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU 2nd stage backbone",
"localized": "Secondary Backbone Modulation",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU 1st stage skip",
"localized": "Primary Skip Connection Bias",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeU 2nd stage skip",
"localized": "Secondary Skip Connection Bias",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FoCa",
"localized": "Focus-Driven Attention",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache cache enabled",
"localized": "Enable FasterCache Buffering",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache spacial skip range",
"localized": "Spatial Delta Skip Range",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache spacial skip start",
"localized": "Spatial Skip Commencement",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache spacial skip end",
"localized": "Spatial Skip Termination",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache uncond skip range",
"localized": "Unconditioned Skip Range",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache uncond skip start",
"localized": "Unconditioned Skip Commencement",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache uncond skip end",
"localized": "Unconditioned Skip Termination",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FasterCache guidance distilled",
"localized": "Distilled Guidance Caching",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "fullgraph",
"localized": "Full Computation Graph",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with stable diffusion models",
"localized": "Stable Diffusion Checkpoint Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with Huggingface models",
"localized": "HuggingFace Transformer Cache",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for Huggingface cache",
"localized": "HF Local Storage Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for Tunable ops cache",
"localized": "Tunable Operator Cache",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with VAE files",
"localized": "VAE Weights Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with UNET files",
"localized": "UNet Architecture Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with Text encoder files",
"localized": "CLIP/T5 Encoder Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with LoRA network(s)",
"localized": "LoRA Adapter Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "File or Folder with user-defined styles",
"localized": "Custom Style CSS/JSON Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with user-defined wildcards",
"localized": "Dynamic Wildcard Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with textual inversion embeddings",
"localized": "Textual Inversion TI Embedding Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with Control models",
"localized": "ControlNet Adapter Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with Yolo models",
"localized": "YOLO Segmentation Models",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with ESRGAN models",
"localized": "ESRGAN Upscaler Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with BSRGAN models",
"localized": "BSRGAN Upscaler Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with RealESRGAN models",
"localized": "Real-ESRGAN Weights Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with SCUNet models",
"localized": "SCUNet Denoiser Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with SwinIR models",
"localized": "SwinIR Transformer Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with CLIP models",
"localized": "CLIP Vision/Text Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for disk offload",
"localized": "Disk-Based VRAM Offload Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for OpenVINO cache",
"localized": "OpenVINO IR Cache",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for ONNX cached models",
"localized": "ONNX Runtime Cache",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for ONNX conversion",
"localized": "ONNX Export Staging Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with chaiNNer models",
"localized": "ChaiNNer Graph Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "File format",
"localized": "Serialization Format",
"reload": "n/a",
"hint": "Select the MIME type/extension for image serialization."
},
{
"id": -1,
"label": "Font file",
"localized": "Typography Asset",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Font color",
"localized": "Typography Hex Code",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for text generate",
"localized": "Prompt Output Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for image generate",
"localized": "Synthesis Output Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for control generate",
"localized": "ControlMap Output Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for processed images",
"localized": "Post-Processed Output Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for manually saved images",
"localized": "Manual Archive Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for videos",
"localized": "Temporal Sequence Export Path",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for init images",
"localized": "Seed Image Input Directory",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for txt2img grids",
"localized": "T2I Image Grid Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for img2img grids",
"localized": "I2I Image Grid Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder for control grids",
"localized": "ControlNet Grid Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Font size",
"localized": "Typography Point Scale",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Full VAE",
"localized": "Uncompressed VAE Preview",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Force offline mode",
"localized": "Local-Only Execution Mode",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Fixed UNet precision",
"localized": "Static UNet Tensor Precision",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Filename join string",
"localized": "Identifier Concatenation Delimiter",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Filename word regex",
"localized": "Identifier Regular Expression",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Force zeros for prompts when empty",
"localized": "Null-Vector Prompt Initialization",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "fill",
"localized": "Latent Padding Infill",
"reload": "n/a",
"hint": "Scale the bitmap to fit the bounding box and populate empty peripheral regions with chromatic extrapolation."
},
{
"id": -1,
"label": "For image processing do exact number of steps as specified",
"localized": "Deterministic Step Invariant",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Folder with LyCORIS network(s)",
"localized": "LyCORIS Adapter Repository",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "Fuse strength",
"localized": "Weight Fusion Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": -1,
"label": "FreeInit",
"localized": "Stochastic Initializer",
"reload": "n/a",
"hint": ""
}
],
"g": [
{
"id": 695420,
"label": "Gallery",
"localized": "Neural Manifestation Repository",
"reload": "",
"hint": "Synchronized visual buffer for post-inference output visualization"
},
{
"id": 746860,
"label": "GitHub",
"localized": "GitHub",
"reload": "",
"hint": ""
},
{
"id": 142340,
"label": "Guidance",
"localized": "Parametric Steering Vector",
"reload": "",
"hint": "Vectorized scalar for latent space directional alignment. Reference: txt2img"
},
{
"id": 815414,
"label": "GenerateGenerate",
"localized": "Initialize Synthetic Synthesis Cycle",
"reload": "",
"hint": "Triggers the generative heuristic engine. Reference: txt2img"
},
{
"id": 843477,
"label": "Generate forever",
"localized": "Iterative Infinity Recursion",
"reload": "",
"hint": "Executes a continuous inference loop across the latent manifold until manual interrupt signal is received. Reference: control"
},
{
"id": 554652,
"label": "Generate",
"localized": "Materialize Data Stream",
"reload": "",
"hint": "Initiates the tensor computation sequence for visual synthesis. Reference: video"
},
{
"id": 318712,
"label": "Get receipe",
"localized": "Retrieve Hyper-Parameter Formula",
"reload": "",
"hint": "Fetches the architectural blueprint and weight initialization constants. Reference: video"
},
{
"id": 587375,
"label": "GPU Monitor",
"localized": "Hardware Compute Sentinel",
"reload": "",
"hint": ""
},
{
"id": 158580,
"label": "Get Changelog",
"localized": "Synchronize Version Delta Logs",
"reload": "",
"hint": "Aggregates chronological modification datasets for the current environment. Reference: system_tab_changelog"
},
{
"id": 607314,
"label": "Generic",
"localized": "Non-Specific Module",
"reload": "",
"hint": "Universal procedural logic handler. Reference: video"
},
{
"id": 790533,
"label": "Google GenAI",
"localized": "Mountain View Heuristic Engine",
"reload": "",
"hint": "Interfacing with remote cloud-based probabilistic modeling architecture. Reference: settings_model_options"
},
{
"id": 742841,
"label": "Group Offload",
"localized": "Clustered Memory Sharding",
"reload": "",
"hint": "Redistributes tensor arrays to secondary storage controllers during peak utilization. Reference: settings_offload"
},
{
"id": 204550,
"label": "Grid Options",
"localized": "Tiled Matrix Configurations",
"reload": "",
"hint": "Defines the topological layout for multi-sample aggregate visualization. Reference: settings_saving-images"
},
{
"id": 360707,
"label": "Grids",
"localized": "Matrix Arrays",
"reload": "",
"hint": "Orthogonal arrangements of reconstructed image data. Reference: settings_saving-paths"
},
{
"id": 544460,
"label": "Guider",
"localized": "Pathing Stabilizer",
"reload": "",
"hint": "Active agent for prompt-alignment during diffusion step sampling. Reference: txt2img"
},
{
"id": 987483,
"label": "Guidance scale",
"localized": "CFG Amplitude Modulator",
"reload": "",
"hint": "Classifier Free Guidance magnitude: quantifies the force applied to align the latent trajectory with the prompt vector. High values minimize divergence but risk chromatic saturation. Reference: txt2img"
},
{
"id": 229987,
"label": "Guidance end",
"localized": "Convergence Cutoff Threshold",
"reload": "",
"hint": "Specifies the temporal step index where CFG and PAG influence is terminated. Value 1.0 indicates full-spectrum influence. Reference: txt2img"
},
{
"id": 797241,
"label": "Guidance rescale",
"localized": "Luminance Normalization Bias",
"reload": "",
"hint": "Applies a correction algorithm to recalibrate guidance vectors, mitigating high-CFG overexposure artifacts. Reference: txt2img"
},
{
"id": 536098,
"label": "Gamma",
"localized": "Photometric Exponent Correction",
"reload": "",
"hint": "Non-linear luminance transformation factor. Reference: script_hdr"
},
{
"id": 977053,
"label": "Grid margins",
"localized": "Interstitial Matrix Padding",
"reload": "",
"hint": "Spatial separation pixels between adjacent tile boundaries. Reference: script_prompt_matrix"
},
{
"id": 196556,
"label": "Grid sections",
"localized": "Segmented Array Domains",
"reload": "",
"hint": "Defines sub-region coordinates for regionalized prompt processing. Reference: script_regional_prompting"
},
{
"id": 298282,
"label": "Guidance strength",
"localized": "Vector Influence Intensity",
"reload": "",
"hint": "Magnitude of the steering coefficient in Selective Latent Guidance. Reference: script_slg"
},
{
"id": 220054,
"label": "Guidance start",
"localized": "Inference Phase Initialization",
"reload": "",
"hint": "Step index where the steering algorithm begins processing. Reference: script_slg"
},
{
"id": 339396,
"label": "Guidance stop",
"localized": "Inference Phase Termination",
"reload": "",
"hint": "Step index where the steering algorithm ceases processing. Reference: script_slg"
},
{
"id": 544474,
"label": "Gate step",
"localized": "Heuristic Gating Threshold",
"reload": "",
"hint": "Control parameter for T-Gate attention bypass mechanism. Reference: script_t-gate"
},
{
"id": 745778,
"label": "Guess mode",
"localized": "Probabilistic Inference Heuristic",
"reload": "",
"hint": "Bypasses textual conditioning, compelling the ControlNet encoder to derive latent intent from source feature maps alone. Reference: control"
},
{
"id": 648602,
"label": "gradient",
"localized": "Differential Vector Slope",
"reload": "",
"hint": "Calculates the derivative of the loss function across the weight manifold. Reference: control"
},
{
"id": 508732,
"label": "Gamma corrected",
"localized": "Linearized Color Space Mapping",
"reload": "",
"hint": "Applies inverse-power law transformations to achieve perceptual uniformity. Reference: control"
},
{
"id": 422619,
"label": "General threshold",
"localized": "Confidence Filter Coefficient",
"reload": "",
"hint": "The probabilistic minimum required for tag extraction; high values enhance semantic precision, low values increase recall density. Reference: caption"
},
{
"id": 574347,
"label": "GPU",
"localized": "GPU",
"reload": "",
"hint": "Graphics Processing Unit: Parallel arithmetic silicon for tensor operations. Reference: component-8625"
},
{
"id": 615967,
"label": "Google cloud use VertexAI endpoints",
"localized": "VertexAI Remote Node Uplink",
"reload": "",
"hint": "Redirects local compute requests to Google's specialized VertexAI tensor infrastructure. Reference: settings_model_options"
},
{
"id": 252876,
"label": "Google cloud API key",
"localized": "Cloud Authentication Token",
"reload": "",
"hint": "Cryptographic credential for authorizing VertexAI service requests. Reference: settings_model_options"
},
{
"id": 465355,
"label": "Google Cloud project ID",
"localized": "Cloud Project Identifier",
"reload": "",
"hint": "The unique alphanumeric string identifying your cloud resource cluster. Reference: settings_model_options"
},
{
"id": 250280,
"label": "Google Cloud location ID",
"localized": "Geospatial Node Region",
"reload": "",
"hint": "The physical data center location hosting the remote inference engine. Reference: settings_model_options"
},
{
"id": 986047,
"label": "group",
"localized": "Cluster Grouping",
"reload": "",
"hint": "Aggregates specific nodes for collective memory management. Reference: settings_offload"
},
{
"id": 687483,
"label": "Group size",
"localized": "Quantization Block Dimension",
"reload": "",
"hint": "Size of the tensor block for localized bit-depth reduction. Reference: settings_quantization"
},
{
"id": 841221,
"label": "GC threshold",
"localized": "Garbage Collection Limit",
"reload": "",
"hint": "Trigger threshold for automated memory cleanup routines. Reference: settings_backends"
},
{
"id": 909282,
"label": "Grid max rows count",
"localized": "Maximum Vertical Matrix Bound",
"reload": "",
"hint": "Upper limit for the number of rows generated in aggregate tile sheets. Reference: settings_saving-images"
},
{
"id": 640624,
"label": "Grid max columns count",
"localized": "Maximum Horizontal Matrix Bound",
"reload": "",
"hint": "Upper limit for the number of columns generated in aggregate tile sheets. Reference: settings_saving-images"
},
{
"id": 928780,
"label": "Grid background color",
"localized": "Matrix Substrate Chromacity",
"reload": "",
"hint": "Defines the hex value for the background layer behind image tiles. Reference: settings_saving-images"
},
{
"id": 593259,
"label": "Gallery auto-update on tab change",
"localized": "Dynamic Buffer Refresh",
"reload": "",
"hint": "Triggers an asynchronous fetch of the image repository when switching UI contexts. Reference: settings_saving-images"
},
{
"id": 487449,
"label": "GPU monitor interval",
"localized": "Telemetry Sampling Frequency",
"reload": "",
"hint": "Time delay in milliseconds between hardware utilization status queries. Reference: settings_ui"
},
{
"id": 228004,
"label": "Gallery view columns",
"localized": "Buffer Layout Density",
"reload": "",
"hint": "Configures the number of image slots visible per row in the UI. Reference: settings_ui"
},
{
"id": 475510,
"label": "Grid image size",
"localized": "Thumbnail Dimensional Scale",
"reload": "",
"hint": "The pixel resolution for individual images within the aggregate matrix. Reference: settings_ui"
},
{
"id": 265916,
"label": "Global",
"localized": "Universal Namespace",
"reload": "",
"hint": "Context-independent parameters applicable across all sub-routines. Reference: control"
}
],
"h": [
{
"id": 7001,
"label": "History",
"localized": "Temporal Iteration Log",
"reload": "btn_history",
"hint": "A persistent chronological buffer of prior synthesis artifacts available for recursive pipeline injection and secondary refinement cycles."
},
{
"id": 7002,
"label": "html2md",
"localized": "html2md",
"reload": "docs_md_btn",
"hint": "An automated parser utility designed to transform hyper-textual markup structures into simplified markdown syntax for documentation serialization."
},
{
"id": 7003,
"label": "Huggingface",
"localized": "HuggingFace Neural Repository",
"reload": "",
"hint": "Interface parameters dedicated to the authentication and telemetry handshaking with the HuggingFace remote model repository architecture."
},
{
"id": 7004,
"label": "HiDream",
"localized": "HiDream Latent Protocol",
"reload": "",
"hint": "Proprietary model configuration sub-routines for the HiDream neural architecture framework."
},
{
"id": 7005,
"label": "HyperTile",
"localized": "HyperTile Spatial Optimizer",
"reload": "",
"hint": "An advanced spatial decomposition algorithm designed to optimize VRAM throughput via strategic tile-based latent processing."
},
{
"id": 7006,
"label": "HiDiffusion",
"localized": "HiDiffusion Multi-Res Protocol",
"reload": "",
"hint": "A specialized high-fidelity synthesis framework that leverages RAU-Net and MSW-MSA logic to facilitate ultra-high-resolution image generation while mitigating tiling artifacts and maintaining global semantic structural integrity."
},
{
"id": 7007,
"label": "Height",
"localized": "Vertical Y-Axis Dimension",
"reload": "",
"hint": "The quantitative pixel density across the vertical coordinate axis of the output tensor."
},
{
"id": 7008,
"label": "HiRes steps",
"localized": "HiRes Iteration Cycles",
"reload": "",
"hint": "The specific count of denoising sub-steps allocated for the secondary high-resolution latent upscaling pass; a null value (0) defaults to the primary sampler's step count."
},
{
"id": 7009,
"label": "HDR clamp",
"localized": "High Dynamic Range Statistical Clamp",
"reload": "",
"hint": "A non-linear value stabilizer that prunes divergent outliers from the tensor distribution, preventing pixel burnout and artifacting at high Classifier-Free Guidance (CFG) magnitudes by enforcing strict boundary thresholds."
},
{
"id": 7010,
"label": "HDR maximize",
"localized": "HDR Luminance Normalization",
"reload": "",
"hint": "Calculates a dynamic normalization coefficient to re-scale the internal tensor range, maximizing available bit-depth and luminance headroom for downstream post-processing applications like Photoshop."
},
{
"id": 7011,
"label": "HDR range",
"localized": "HDR Boundary Delta",
"reload": "",
"hint": "The defined mathematical window for the dynamic range stabilization algorithm's operational scope."
},
{
"id": 7012,
"label": "Hue",
"localized": "Chromatic Phase Shift",
"reload": "",
"hint": "The angular shift within the HSL color space applied via the Look-Up Table (LUT) grading module."
},
{
"id": 7013,
"label": "HQ init latents",
"localized": "High-Fidelity Latent Initialization",
"reload": "",
"hint": "A specialized protocol for preparing high-precision latent starter tensors for the InstantIR synthesis pipeline."
},
{
"id": 7014,
"label": "Height after",
"localized": "Post-Processing Verticality",
"reload": "",
"hint": "The final vertical dimension scaling factor applied after the ControlNet conditioning phase."
},
{
"id": 7015,
"label": "Height mask",
"localized": "Vertical Spatial Occlusion Mask",
"reload": "",
"hint": "A bitmap or vector mask used to restrict height-based calculations to specific spatial coordinates."
},
{
"id": 7016,
"label": "Hires use control",
"localized": "ControlNet HiRes Injection",
"reload": "",
"hint": "Enable or disable the application of ControlNet conditioning during the high-resolution latent refinement pass."
},
{
"id": 7017,
"label": "Hands",
"localized": "Manual Extremity Kinematics",
"reload": "",
"hint": "A specialized ControlNet model designed to improve the topological accuracy and digit consistency of synthesized human hands."
},
{
"id": 7018,
"label": "High threshold",
"localized": "Canny Upper Edge Threshold",
"reload": "",
"hint": "The upper sensitivity boundary for the edge-detection preprocessor, determining the inclusion of high-contrast structural features."
},
{
"id": 7019,
"label": "high noise",
"localized": "Stochastic Noise Amplitude",
"reload": "",
"hint": "The magnitude of high-frequency random distribution added to the latent space during initial diffusion steps."
},
{
"id": 7020,
"label": "Hypertile UNet Enabled",
"localized": "HyperTile UNet Module Activation",
"reload": "",
"hint": "Toggles the tile-based memory optimization within the core UNet denoising framework."
},
{
"id": 7021,
"label": "Hypertile HiRes pass only",
"localized": "Exclusive HiRes HyperTile Mode",
"reload": "",
"hint": "Restricts HyperTile spatial decomposition to the high-resolution second-stage pass, leaving the initial generation untouched."
},
{
"id": 7022,
"label": "Hypertile UNet max tile size",
"localized": "UNet Max Tiling Dimension",
"reload": "",
"hint": "The upper pixel-boundary limit for individual tiles processed by the UNet spatial optimizer."
},
{
"id": 7023,
"label": "Hypertile UNet min tile size",
"localized": "UNet Min Tiling Dimension",
"reload": "",
"hint": "The minimum acceptable pixel-boundary for UNet tiles, below which no further decomposition occurs."
},
{
"id": 7024,
"label": "Hypertile UNet swap size",
"localized": "UNet Memory Swap Allocation",
"reload": "",
"hint": "The internal buffer size allocated for tile-swapping operations during UNet compute cycles."
},
{
"id": 7025,
"label": "Hypertile UNet depth",
"localized": "UNet Decomposition Depth",
"reload": "",
"hint": "The number of recursive layers within the UNet architecture where HyperTile optimization is actively applied."
},
{
"id": 7026,
"label": "Hypertile VAE Enabled",
"localized": "HyperTile VAE Module Activation",
"reload": "",
"hint": "Toggles the tile-based memory optimization within the Variational Autoencoder (VAE) encoding/decoding phase."
},
{
"id": 7027,
"label": "Hypertile VAE tile size",
"localized": "VAE Tiling Dimension",
"reload": "",
"hint": "The specific spatial dimension for VAE tile processing, aimed at reducing peak VRAM usage during image reconstruction."
},
{
"id": 7028,
"label": "Hypertile VAE swap size",
"localized": "VAE Memory Swap Allocation",
"reload": "",
"hint": "The internal buffer size allocated for tile-swapping operations during VAE encoding/decoding cycles."
},
{
"id": 7029,
"label": "HiDiffusion apply RAU-Net",
"localized": "RAU-Net Integration",
"reload": "",
"hint": "Enables the Recursive Attention UNet (RAU-Net) component of the HiDiffusion protocol for enhanced semantic consistency at high resolutions."
},
{
"id": 7030,
"label": "HiDiffusion apply MSW-MSA",
"localized": "MSW-MSA Integration",
"reload": "",
"hint": "Enables Multi-Scale Window-based Multi-head Self-Attention (MSW-MSA) to improve structural detail in high-resolution diffusion."
},
{
"id": 7031,
"label": "HiDiffusion aggressive at step",
"localized": "Aggressive Denoising Trigger Step",
"reload": "",
"hint": "The specific iteration index where the HiDiffusion algorithm switches to more intensive structural refinement logic."
},
{
"id": 7032,
"label": "HiDiffusion override T1 ratio",
"localized": "T1 Latent Override Ratio",
"reload": "",
"hint": "Manual override for the primary transformation ratio within the HiDiffusion latent scaling algorithm."
},
{
"id": 7033,
"label": "HiDiffusion override T2 ratio",
"localized": "T2 Latent Override Ratio",
"reload": "",
"hint": "Manual override for the secondary transformation ratio within the HiDiffusion latent scaling algorithm."
},
{
"id": 7034,
"label": "hidet",
"localized": "hidet",
"reload": "",
"hint": "Enables the Hidet deep learning compiler for automated graph-level optimizations and kernel fusion."
},
{
"id": 7035,
"label": "Hide legacy tabs",
"localized": "Obfuscate Deprecated UI Elements",
"reload": "",
"hint": "Removes visibility of outdated navigation tabs from the primary user interface to streamline the workspace."
},
{
"id": 7036,
"label": "Hide input range sliders",
"localized": "Suppress Analog Input Sliders",
"reload": "",
"hint": "Disables the rendering of horizontal range sliders, restricting input to numerical text fields for precise parameterization."
},
{
"id": 7037,
"label": "Hide params headers",
"localized": "Collapse Parameter Metadata Headers",
"reload": "",
"hint": "Hides the organizational headers within the parameter interface to maximize vertical screen real estate."
},
{
"id": 7038,
"label": "HuggingFace token",
"localized": "HuggingFace API Credential",
"reload": "",
"hint": "A secure alphanumeric string required for authenticating requests to private or restricted HuggingFace model repositories."
},
{
"id": 7039,
"label": "HuggingFace mirror",
"localized": "HuggingFace Repository Mirror",
"reload": "",
"hint": "An alternative network endpoint for downloading model weights, useful for bypassing localized connectivity bottlenecks."
},
{
"id": 7040,
"label": "HED",
"localized": "HED",
"reload": "",
"hint": "Holistically-nested Edge Detection: a preprocessor that generates soft-edge maps optimized for maintaining painterly or organic outlines."
}
],
"i": [
{
"id": 0,
"label": "Images",
"localized": "Visual Matrix Synthesizer",
"reload": "n/a",
"hint": "Initiate pixel-tensor synthesis protocols
Unified manifold interface
Supports T2I and I2I sub-routines
With optional heuristic control guidance"
},
{
"id": 1,
"label": "I2I",
"localized": "I2I",
"reload": "n/a",
"hint": "Synthesize image-space via antecedent visual tensors
Legacy buffer interface mirroring primordial image-to-image heuristics"
},
{
"id": 2,
"label": "Input",
"localized": "Data Ingress",
"reload": "n/a",
"hint": "Toggle visibility of the source manifold used to guide generation latents"
},
{
"id": 3,
"label": "Image",
"localized": "Visual Primitive",
"reload": "n/a",
"hint": "Synthesize image-space via antecedent visual tensors"
},
{
"id": 4,
"label": "Inpaint",
"localized": "Latent Reconstruction",
"reload": "n/a",
"hint": ""
},
{
"id": 5,
"label": "Inputs",
"localized": "Ingress Parameters",
"reload": "n/a",
"hint": "Hyperparameters governing the localized input manifold"
},
{
"id": 6,
"label": "Initial",
"localized": "Primordial Resolution",
"reload": "n/a",
"hint": "Calibrate spatial tensor dimensions prior to compute processing"
},
{
"id": 7,
"label": "Info",
"localized": "Metadata Diagnostics",
"reload": "n/a",
"hint": ""
},
{
"id": 8,
"label": "install",
"localized": "Deploy Module",
"reload": "n/a",
"hint": ""
},
{
"id": 9,
"label": "Image Options",
"localized": "Visual Output Protocols",
"reload": "n/a",
"hint": "Configuration for encoding formats, metadata headers, and grid-array orchestration"
},
{
"id": 10,
"label": "Image Paths",
"localized": "Directory Architecture",
"reload": "n/a",
"hint": "Configuration for file-system nomenclature and egress directory structures"
},
{
"id": 11,
"label": "Image Metadata",
"localized": "Serialized Headers",
"reload": "n/a",
"hint": "Protocols for the management of metadata injected into synthesized visual assets"
},
{
"id": 12,
"label": "IP Adapters",
"localized": "Image-Prompt Adapter Manifolds",
"reload": "n/a",
"hint": "IP adapters are plugin neural modules that bias the generation toward target reference latents"
},
{
"id": 13,
"label": "Input Media",
"localized": "Ingress Source Buffer",
"reload": "n/a",
"hint": "Inject source visual data for image-to-image, latent reconstruction, or control-net processing"
},
{
"id": 14,
"label": "Input Image",
"localized": "Source Visual Tensor",
"reload": "n/a",
"hint": ""
},
{
"id": 15,
"label": "IPEX",
"localized": "Intel-PyTorch Execution Provider",
"reload": "n/a",
"hint": ""
},
{
"id": 16,
"label": "Image Gallery",
"localized": "Visual Asset Repository",
"reload": "n/a",
"hint": ""
},
{
"id": 17,
"label": "Intermediate Image Saving",
"localized": "Transient State Persistance",
"reload": "n/a",
"hint": ""
},
{
"id": 18,
"label": "Initial seed",
"localized": "Stochastic Nucleus",
"reload": "n/a",
"hint": "A scalar value initializing the pseudo-random number generator; identical parameters and seed will yield deterministic tensor parity"
},
{
"id": 19,
"label": "Include detections",
"localized": "Overlay Semantic Detections",
"reload": "n/a",
"hint": "Include the source manifold with highlighted semantic segmentation boundaries"
},
{
"id": 20,
"label": "IY model",
"localized": "Infinite-You Neural Model",
"reload": "n/a",
"hint": ""
},
{
"id": 21,
"label": "IY scale",
"localized": "Infinite-You Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": 22,
"label": "IY start",
"localized": "Infinite-You Temporal Onset",
"reload": "n/a",
"hint": ""
},
{
"id": 23,
"label": "IY end",
"localized": "Infinite-You Temporal Termination",
"reload": "n/a",
"hint": ""
},
{
"id": 24,
"label": "Identity guidance",
"localized": "Biometric Fidelity Bias",
"reload": "n/a",
"hint": ""
},
{
"id": 25,
"label": "Include original image",
"localized": "Persist Source Manifold",
"reload": "n/a",
"hint": ""
},
{
"id": 26,
"label": "Iterate seed per line",
"localized": "Sequential Seed Modulation",
"reload": "n/a",
"hint": ""
},
{
"id": 27,
"label": "Iterations",
"localized": "Recursion Cycles",
"reload": "n/a",
"hint": ""
},
{
"id": 28,
"label": "Interpolate frames",
"localized": "Temporal Frame Synthesis",
"reload": "n/a",
"hint": ""
},
{
"id": 29,
"label": "Include main grid",
"localized": "Global Grid Matrix",
"reload": "n/a",
"hint": ""
},
{
"id": 30,
"label": "Include sub grids",
"localized": "Nested Sub-Grid Arrays",
"reload": "n/a",
"hint": ""
},
{
"id": 31,
"label": "Include images",
"localized": "Persist Individual Tensors",
"reload": "n/a",
"hint": ""
},
{
"id": 32,
"label": "invert",
"localized": "Bitwise Inversion",
"reload": "n/a",
"hint": ""
},
{
"id": 33,
"label": "Init image same as control",
"localized": "Synchronized Control-Ingress",
"reload": "n/a",
"hint": "Simultaneously map the Control-net buffer as the source manifold for img2img-type modification tasks."
},
{
"id": 34,
"label": "Inpaint masked only",
"localized": "Localized Region Synthesis",
"reload": "n/a",
"hint": ""
},
{
"id": 35,
"label": "Invert mask",
"localized": "Binary Mask Flip",
"reload": "n/a",
"hint": ""
},
{
"id": 36,
"label": "IOU",
"localized": "Intersection Over Union",
"reload": "n/a",
"hint": ""
},
{
"id": 37,
"label": "Init strength",
"localized": "Primordial Bias Magnitude",
"reload": "n/a",
"hint": ""
},
{
"id": 38,
"label": "Input directory",
"localized": "Source Ingress Path",
"reload": "n/a",
"hint": "The file-system directory containing the visual tensors for batch processing"
},
{
"id": 39,
"label": "Intermediates",
"localized": "Candidate Flavor Pool",
"reload": "n/a",
"hint": "Spatial size of the transient candidate pool for matching visual features to semantic tags. Final selection is filtered by Min/Max Flavour constraints. High values optimize semantic fidelity at the cost of compute latency."
},
{
"id": 40,
"label": "Include rating",
"localized": "Safety-Classifier Metadata",
"reload": "n/a",
"hint": "Append content-rating vectors to output (e.g., safe, questionable, explicit). Essential for automated content-filtering protocols."
},
{
"id": 41,
"label": "Image width",
"localized": "Horizontal Pixel Dimension",
"reload": "n/a",
"hint": ""
},
{
"id": 42,
"label": "Image height",
"localized": "Vertical Pixel Dimension",
"reload": "n/a",
"hint": ""
},
{
"id": 43,
"label": "inference-mode",
"localized": "Strict Inference Engine",
"reload": "n/a",
"hint": "An optimized execution state, stricter than no-grad, ensuring the model operates exclusively in a read-only inference state for safety and speed."
},
{
"id": 44,
"label": "inductor",
"localized": "Torch Inductor Backend",
"reload": "n/a",
"hint": ""
},
{
"id": 45,
"label": "Image quality",
"localized": "Compression Fidelity Factor",
"reload": "n/a",
"hint": ""
},
{
"id": 46,
"label": "Include mask in outputs",
"localized": "Append Binary Mask Tensor",
"reload": "n/a",
"hint": ""
},
{
"id": 47,
"label": "Include invisible watermark",
"localized": "Steganographic Bit-Modulation",
"reload": "n/a",
"hint": "Inject an imperceptible steganographic watermark by modulating discrete pixel bit-values"
},
{
"id": 48,
"label": "Invisible watermark string",
"localized": "Steganographic Key",
"reload": "n/a",
"hint": "The alphanumeric string for steganographic injection. Minimize length to prevent visual artifacting."
},
{
"id": 49,
"label": "Image watermark position",
"localized": "Watermark Spatial Coordinates",
"reload": "n/a",
"hint": ""
},
{
"id": 50,
"label": "Image watermark file",
"localized": "Watermark Source Asset",
"reload": "n/a",
"hint": ""
},
{
"id": 51,
"label": "Images filename pattern",
"localized": "Nomenclature String Template",
"reload": "n/a",
"hint": "Utilize the following tokens to define the procedural filename logic:
seq, uuid
date, datetime, job_timestamp
generation_number, batch_number
model, model_shortname
model_hash, model_name
sampler, seed, steps, cfg
clip_skip, denoising
hasprompt, prompt, styles
prompt_hash, prompt_no_styles
prompt_spaces, prompt_words
height, width, image_hash
"
},
{
"id": 52,
"label": "inline",
"localized": "Inline Buffer Flow",
"reload": "n/a",
"hint": "Synchronous alignment with all peripheral interface elements (scrollable)"
},
{
"id": 53,
"label": "Inpainting include greyscale mask in results",
"localized": "Persist Luma-Mask Buffer",
"reload": "n/a",
"hint": ""
},
{
"id": 54,
"label": "Inpainting include masked composite in results",
"localized": "Persist Composite Mask Overlay",
"reload": "n/a",
"hint": ""
},
{
"id": 55,
"label": "Image transparent color fill",
"localized": "Alpha-Channel Null Fill",
"reload": "n/a",
"hint": ""
},
{
"id": 56,
"label": "Inpainting conditioning mask strength",
"localized": "Mask Conditioning Magnitude",
"reload": "n/a",
"hint": "Determines the degree of occlusion for the original manifold during latent reconstruction. 1.0 indicates absolute masking; 0.0 indicates total transparency. Lower values preserve global composition but inhibit structural transformation."
},
{
"id": 57,
"label": "Image resize algorithm",
"localized": "Resampling Heuristic",
"reload": "n/a",
"hint": ""
},
{
"id": 58,
"label": "Image repeats per epoch",
"localized": "Epoch Ingestion Frequency",
"reload": "n/a",
"hint": ""
},
{
"id": 59,
"label": "Interpolation Method",
"localized": "Latent Blending Heuristic",
"reload": "n/a",
"hint": ""
},
{
"id": 60,
"label": "In Blocks",
"localized": "UNet Downsampling Blocks",
"reload": "n/a",
"hint": "The downsampling block architecture of the UNet (12 vectors for SD1.5, 9 vectors for SDXL)"
},
{
"id": 61,
"label": "Input model",
"localized": "Source Weights Manifold",
"reload": "n/a",
"hint": ""
},
{
"id": 62,
"label": "Info object",
"localized": "Diagnostic Metadata Entity",
"reload": "n/a",
"hint": ""
}
],
"k": [
{
"id": 0,
"label": "Kanvas change",
"localized": "Quantum Flux Inversion",
"reload": "",
"hint": "Initiates a recalibration of the multidimensional render buffer."
},
{
"id": 0,
"label": "Kanvas Settings",
"localized": "Holographic Substrate Configuration",
"reload": "",
"hint": "Access the underlying parameters for the localized photogrammetric lattice."
},
{
"id": 0,
"label": "Keep Thinking Trace",
"localized": "Retain Neural Synaptic Residue",
"reload": "",
"hint": "Preserve the latent heuristic processing cycles within the final cognitive output.
Essential for auditing the stochastic pathing of the inference engine.
Requires a model capable of asynchronous introspection modes."
},
{
"id": 0,
"label": "Keep Prefill",
"localized": "Maintain Seeded Initializer State",
"reload": "",
"hint": "Integrate the primary semantic primer at the terminal interface of the output sequence.
If nullified, the prompt-injection vectors used to guide the neural bias are stripped from the dataset."
},
{
"id": 0,
"label": "Keep aspect ratio",
"localized": "Stabilize Dimensional Proportionality",
"reload": "",
"hint": "Lock the spatial constraints of the output tensor to prevent geometric variance."
}
],
"l": [
{
"id": 7,
"label": "Load model",
"localized": "Initialize Neural Weight Matrix",
"reload": "",
"hint": "Engage the primary synaptic array and synchronize weighting tensors."
},
{
"id": 15,
"label": "Load custom model",
"localized": "Initialize External Synapse Map",
"reload": "",
"hint": "Integrate a bespoke neuro-architectural configuration with specific hyper-parameter alignment."
},
{
"id": 17,
"label": "LaMa Remove",
"localized": "LaMa Entropy Erasure",
"reload": "",
"hint": "Apply Large Mask Inpainting to neutralize localized entropy signatures."
},
{
"id": 19,
"label": "Lite",
"localized": "Lite",
"reload": "",
"hint": "Execute via reduced-compute low-precision protocols."
},
{
"id": 24,
"label": "LTXVideo",
"localized": "LTX Temporal Synthesis",
"reload": "",
"hint": "Execute high-fidelity temporal frame interpolation via LTX architecture."
},
{
"id": 31,
"label": "Load",
"localized": "Initialize",
"reload": "",
"hint": "Trigger the ingestion protocol for external data assets."
},
{
"id": 35,
"label": "Live Previews",
"localized": "Real-time Render Stream",
"reload": "",
"hint": "Visual telemetry configuration and auditory notification subsystem status."
},
{
"id": 41,
"label": "Legacy options",
"localized": "Deprecated Archival Protocols",
"reload": "",
"hint": "Access vintage architectural parameters (Warning: suboptimal for modern workflows)."
},
{
"id": 42,
"label": "List",
"localized": "Enumerate",
"reload": "",
"hint": "Generate a categorical index of all accessible neural architectures."
},
{
"id": 43,
"label": "Loader",
"localized": "Modular Assembly Engine",
"reload": "",
"hint": "Manually synthesize a diffusion infrastructure from discrete modular components."
},
{
"id": 44,
"label": "List models",
"localized": "Enumerate Architectures",
"reload": "",
"hint": ""
},
{
"id": 45,
"label": "Load receipe",
"localized": "Initialize Config Preset",
"reload": "",
"hint": ""
},
{
"id": 51,
"label": "Lora",
"localized": "Low-Rank Adapter (LoRA)",
"reload": "",
"hint": "Inject a localized low-rank adaptation layer into the base neural manifold."
},
{
"id": 57,
"label": "Local",
"localized": "On-Premise Assets",
"reload": "",
"hint": "Architectures currently cached on local storage ready for immediate execution."
},
{
"id": 61,
"label": "LTX",
"localized": "LTX",
"reload": "",
"hint": ""
},
{
"id": 63,
"label": "Layerwise Casting",
"localized": "Synaptic Precision Casting",
"reload": "",
"hint": ""
},
{
"id": 65,
"label": "LinFusion",
"localized": "LinFusion Linearizer",
"reload": "",
"hint": ""
},
{
"id": 67,
"label": "Log Display",
"localized": "Telemetry Console",
"reload": "",
"hint": ""
},
{
"id": 69,
"label": "List all locally available models",
"localized": "Enumerate On-Premise Manifolds",
"reload": "",
"hint": ""
},
{
"id": 71,
"label": "Last Generate",
"localized": "Previous Inference Cycle",
"reload": "",
"hint": ""
},
{
"id": 73,
"label": "low order",
"localized": "Low-Order Convergence",
"reload": "",
"hint": ""
},
{
"id": 74,
"label": "LSC layer indices",
"localized": "LSC Synaptic Indices",
"reload": "",
"hint": ""
},
{
"id": 75,
"label": "LSC fully qualified name",
"localized": "LSC Global Namespace",
"reload": "",
"hint": ""
},
{
"id": 76,
"label": "LSC skip attention blocks",
"localized": "LSC Attention Bypass",
"reload": "",
"hint": ""
},
{
"id": 77,
"label": "LSC skip feed-forward blocks",
"localized": "LSC MLP Bypass",
"reload": "",
"hint": ""
},
{
"id": 78,
"label": "LSC skip attention scores",
"localized": "LSC Score Bypassing",
"reload": "",
"hint": ""
},
{
"id": 79,
"label": "LSC dropout rate",
"localized": "LSC Stochastic Sparsity",
"reload": "",
"hint": ""
},
{
"id": 81,
"label": "Layer options",
"localized": "Synaptic Layer Overrides",
"reload": "",
"hint": "Directly manipulate advanced IP-Adapter architectural depth parameters."
},
{
"id": 82,
"label": "Layer scales",
"localized": "Synaptic Amplitude Scaling",
"reload": "",
"hint": ""
},
{
"id": 84,
"label": "Length",
"localized": "Token Extent",
"reload": "",
"hint": ""
},
{
"id": 86,
"label": "Loops",
"localized": "Iterative Feedback Cycles",
"reload": "",
"hint": "Recursive processing depth. If set to 1, the feedback loop remains dormant."
},
{
"id": 89,
"label": "Level",
"localized": "Magnitude",
"reload": "",
"hint": ""
},
{
"id": 92,
"label": "Latent mode",
"localized": "Latent Manifold State",
"reload": "",
"hint": ""
},
{
"id": 93,
"label": "Loop video",
"localized": "Temporal Cyclic Feedback",
"reload": "",
"hint": ""
},
{
"id": 95,
"label": "LLM model",
"localized": "Syntactic Reasoning Engine",
"reload": "",
"hint": "Select the large language manifold for prompt semantic enrichment.
Vision-capable nodes:
Thinking-active nodes: "
},
{
"id": 97,
"label": "LBM Method",
"localized": "LBM Algorithm",
"reload": "",
"hint": ""
},
{
"id": 98,
"label": "LBM Composite",
"localized": "LBM Multi-Layer Synthesis",
"reload": "",
"hint": ""
},
{
"id": 99,
"label": "LBM Steps",
"localized": "LBM Inference Iterations",
"reload": "",
"hint": ""
},
{
"id": 100,
"label": "left",
"localized": "Left-Axis",
"reload": "",
"hint": ""
},
{
"id": 102,
"label": "Live update",
"localized": "Real-time Telemetry Refresh",
"reload": "",
"hint": ""
},
{
"id": 103,
"label": "Low threshold",
"localized": "Lower Gradient Limit",
"reload": "",
"hint": ""
},
{
"id": 104,
"label": "Large",
"localized": "Macro-Scale",
"reload": "",
"hint": ""
},
{
"id": 105,
"label": "LTX model",
"localized": "LTX Neural Kernel",
"reload": "",
"hint": ""
},
{
"id": 106,
"label": "LTX frames number",
"localized": "LTX Temporal Depth",
"reload": "",
"hint": ""
},
{
"id": 107,
"label": "LTX frames skip",
"localized": "LTX Temporal Sparsity",
"reload": "",
"hint": ""
},
{
"id": 108,
"label": "LTX enable upsampling",
"localized": "LTX Spatial Upscaling",
"reload": "",
"hint": ""
},
{
"id": 109,
"label": "LTX upsample ratio",
"localized": "LTX Upscale Magnitude",
"reload": "",
"hint": ""
},
{
"id": 110,
"label": "LTX enable refine",
"localized": "LTX Iterative Refinement",
"reload": "",
"hint": ""
},
{
"id": 111,
"label": "LTX refine strength",
"localized": "LTX Refinement Intensity",
"reload": "",
"hint": ""
},
{
"id": 112,
"label": "LTX decode timestep",
"localized": "LTX VAE Decode Phase",
"reload": "",
"hint": ""
},
{
"id": 113,
"label": "LTX enable audio",
"localized": "LTX Sonic Datastream",
"reload": "",
"hint": ""
},
{
"id": 114,
"label": "Loop",
"localized": "Cyclic Sequence",
"reload": "",
"hint": ""
},
{
"id": 116,
"label": "Local directory name",
"localized": "Namespace Path",
"reload": "",
"hint": "Directory for extension injection; leave null for system default."
},
{
"id": 117,
"label": "Libs",
"localized": "Binary Dependecies",
"reload": "",
"hint": ""
},
{
"id": 119,
"label": "Latent history size",
"localized": "Latent State Buffer Size",
"reload": "",
"hint": ""
},
{
"id": 120,
"label": "LLama repo",
"localized": "LLama Repository URI",
"reload": "",
"hint": ""
},
{
"id": 121,
"label": "low noise",
"localized": "Sub-Decibel Variance",
"reload": "",
"hint": ""
},
{
"id": 122,
"label": "leaf_level",
"localized": "Node Leaf Depth",
"reload": "",
"hint": ""
},
{
"id": 123,
"label": "LLM",
"localized": "LLM",
"reload": "",
"hint": ""
},
{
"id": 124,
"label": "Layerwise casting storage",
"localized": "Layerwise VRAM Buffering",
"reload": "",
"hint": ""
},
{
"id": 125,
"label": "Layerwise non-blocking operations",
"localized": "Asynchronous Layer Execution",
"reload": "",
"hint": ""
},
{
"id": 126,
"label": "Lumina: Use mask in transformers",
"localized": "Lumina Masked Attention",
"reload": "",
"hint": ""
},
{
"id": 127,
"label": "LinFusion apply distillation on load",
"localized": "LinFusion Load-Time Distillation",
"reload": "",
"hint": ""
},
{
"id": 128,
"label": "Light",
"localized": "Lightweight Theme",
"reload": "",
"hint": ""
},
{
"id": 129,
"label": "Log view update period",
"localized": "Telemetry Refresh Frequency",
"reload": "",
"hint": "Console update interval in milliseconds."
},
{
"id": 130,
"label": "Live preview display period",
"localized": "Telemetry Sampling Interval",
"reload": "",
"hint": "Sample render preview every n iterations (0 to bypass)."
},
{
"id": 131,
"label": "Load custom Diffusers pipeline",
"localized": "Initialize Custom Diffuser Stack",
"reload": "",
"hint": ""
},
{
"id": 133,
"label": "LoRA force reload always",
"localized": "Force LoRA Synaptic Refresh",
"reload": "",
"hint": "Bypass cache and re-read adapter weights from storage every inference cycle. Useful for external weight tuning."
},
{
"id": 134,
"label": "LoRA load using Diffusers method",
"localized": "LoRA Diffuser Compatibility Mode",
"reload": "",
"hint": "Use the integrated Diffusers adapter method instead of native synaptic injection."
},
{
"id": 135,
"label": "LoRA native apply to text encoder",
"localized": "LoRA CLIP/T5 Synaptic Injection",
"reload": "",
"hint": ""
},
{
"id": 136,
"label": "LoRA native fuse with model",
"localized": "Permanent Synaptic Fusion (Native)",
"reload": "",
"hint": "Merge adapter weights directly into the base manifold tensor.
Warning: Resulting manifold state is mutated. Re-initialize base model to purge fusion residues."
},
{
"id": 137,
"label": "LoRA diffusers fuse with model",
"localized": "Permanent Synaptic Fusion (Diffusers)",
"reload": "",
"hint": "Merge adapter weights for reduced VRAM overhead and optimized torch.compile execution."
},
{
"id": 138,
"label": "LoRA auto-apply tags",
"localized": "LoRA Metadata Tag Injection",
"reload": "",
"hint": "Automatically inject trigger tokens from adapter metadata into the input prompt buffer."
},
{
"id": 139,
"label": "LoRA memory cache",
"localized": "LoRA Synaptic Buffer Capacity",
"reload": "",
"hint": "Maximum number of adapters to maintain in active VRAM."
},
{
"id": 140,
"label": "LoRA add hash info to metadata",
"localized": "LoRA Cryptographic Hash Injection",
"reload": "",
"hint": "Embed unique adapter identifiers into the output metadata for artifact reproducibility."
},
{
"id": 141,
"label": "LDSR Path",
"localized": "LDSR URI Path",
"reload": "",
"hint": ""
},
{
"id": 142,
"label": "LoRA load using legacy method",
"localized": "LoRA Archival Injection Method",
"reload": "",
"hint": ""
},
{
"id": 143,
"label": "Loaded LoRA",
"localized": "Active LoRA Adapters",
"reload": "",
"hint": ""
},
{
"id": 144,
"label": "LoRA target filename",
"localized": "LoRA File Descriptor",
"reload": "",
"hint": ""
},
{
"id": 145,
"label": "Layer skip guidance",
"localized": "Synaptic Skip Guidance",
"reload": "",
"hint": ""
},
{
"id": 146,
"label": "LineArt",
"localized": "Edge Geometry Detection",
"reload": "",
"hint": ""
},
{
"id": 147,
"label": "Leres Depth",
"localized": "LeReS Spatial Depth Mapping",
"reload": "",
"hint": ""
}
],
"m": [
{
"id": 0,
"label": "Mask",
"localized": "Dimensional Occlusion Lattice",
"reload": "",
"hint": "Interface for image-space masking and alpha-channel occlusion parameters."
},
{
"id": 0,
"label": "Models",
"localized": "Neural Weights Repositories",
"reload": "",
"hint": "Procedures for downloading, converting, or synthetic merging of model weights and metadata indexing."
},
{
"id": 0,
"label": "Manage extensions",
"localized": "Integrate Modular Subroutines",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Manual install",
"localized": "Hard-Link Installation",
"reload": "",
"hint": "Directly initialize extension components via manual directory mapping."
},
{
"id": 0,
"label": "Models & Networks",
"localized": "Weights & Node Architectures",
"reload": "",
"hint": "Global index of available latent space models and auxiliary network nodes."
},
{
"id": 0,
"label": "Model Loading",
"localized": "Neural Weight Initializer",
"reload": "",
"hint": "Parameters governing the ingestion of model data into active memory states."
},
{
"id": 0,
"label": "Model Options",
"localized": "Structural Logic Toggles",
"reload": "",
"hint": "Fine-tuned behavioral settings for specific latent diffusion models."
},
{
"id": 0,
"label": "Model Offloading",
"localized": "Dynamic VRAM Flushing",
"reload": "",
"hint": "Logic governing the eviction of inactive weights from video memory to optimize hardware overhead."
},
{
"id": 0,
"label": "Model Quantization",
"localized": "Bit-Depth Decimation",
"reload": "",
"hint": "Techniques for reducing the precision of floating-point weights to decrease the memory footprint."
},
{
"id": 0,
"label": "Model Compile",
"localized": "Instruction Set Optimization",
"reload": "",
"hint": "Execution of specialized model compilation methods to accelerate inference throughput."
},
{
"id": 0,
"label": "Metadata",
"localized": "Schema Headers",
"reload": "",
"hint": "Re-index and update the semantic metadata across all detected neural weight sets."
},
{
"id": 0,
"label": "Merge",
"localized": "Weighted Weighted-Average Synthesis",
"reload": "",
"hint": "Synthesize a new model by interpolating weights from two or more source checkpoints."
},
{
"id": 0,
"label": "Manual Block Merge",
"localized": "Discrete Layer Interpolation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Merge Modules",
"localized": "Segmented Fusion Units",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model",
"localized": "Core Checkpoint",
"reload": "",
"hint": "The primary generative model utilized for latent space navigation."
},
{
"id": 0,
"label": "Model metadata",
"localized": "Weighted Tag Schema",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ModernUI",
"localized": "Post-Legacy Interface",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modular Pipelines",
"localized": "Segmented Sequence Logic",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Models Paths",
"localized": "Directory Target Pointers",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mobile",
"localized": "Handheld Viewport",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Merge multiple models",
"localized": "Multi-Source Weighted Blending",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max shift",
"localized": "Upper Bound Spatial Displacement",
"reload": "",
"hint": "Maximum value for spatial displacement during high-resolution dynamic scaling."
},
{
"id": 0,
"label": "Merge detailers",
"localized": "Recursive Mask Consolidation",
"reload": "",
"hint": "Synthesize results from multiple detailing passes into a singular mask before secondary processing."
},
{
"id": 0,
"label": "Max detected",
"localized": "Entity Recognition Limit",
"reload": "",
"hint": "Hard limit for the number of object instances targeted for the detailing sub-process."
},
{
"id": 0,
"label": "Min confidence",
"localized": "Probability Threshold",
"reload": "",
"hint": "The floor value for detection probability required to trigger item processing."
},
{
"id": 0,
"label": "Max overlap",
"localized": "Intersection Threshold",
"reload": "",
"hint": "The maximum allowable spatial overlap between detected entities before suppression occurs."
},
{
"id": 0,
"label": "Min size",
"localized": "Lower Area Bound",
"reload": "",
"hint": "The minimum dimensional threshold of a detected object expressed as a percentage of the total canvas."
},
{
"id": 0,
"label": "Max size",
"localized": "Upper Area Bound",
"reload": "",
"hint": "The maximum dimensional threshold of a detected object expressed as a percentage of the total canvas."
},
{
"id": 0,
"label": "Max Range",
"localized": "Scalar Domain Limit",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Momentum",
"localized": "Inertial Optimization Gradient",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mode x-axis",
"localized": "Horizontal Vector State",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mode y-axis",
"localized": "Vertical Vector State",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mask Dropout",
"localized": "Stochastic Occlusion Decay",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Multi decoder",
"localized": "Parallel Decompression Array",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mode",
"localized": "Analysis Heuristics",
"reload": "",
"hint": "Interrogation heuristic.
Fast: Optimized captioning with low-latency token selection.
Classic: Standardized analysis balancing throughput and fidelity.
Best: Computational-heavy exhaustive analysis for maximum quality.
Negative: Extrapolate semantic tokens for the negative conditioning vector."
},
{
"id": 0,
"label": "Method",
"localized": "Algorithmic Procedure",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model repo",
"localized": "Remote Repository URI",
"reload": "",
"hint": "HuggingFace repository identifier for the target weights."
},
{
"id": 0,
"label": "Model gguf",
"localized": "Quantized GGUF Node",
"reload": "",
"hint": "Optional path for a GGUF-quantized weight set hosted on a remote repository."
},
{
"id": 0,
"label": "Model type",
"localized": "Weight Precision Class",
"reload": "",
"hint": "Specifies the quantization architecture (e.g., GGUF) for the selected weights."
},
{
"id": 0,
"label": "Model file",
"localized": "Binary Asset Target",
"reload": "",
"hint": "Target a specific binary file within a multi-file weight repository."
},
{
"id": 0,
"label": "Max tokens",
"localized": "Upper Sequence Limit",
"reload": "",
"hint": "The hard limit for generated tokens in a single response cycle. Note that the LLM engine does not adjust its internal logic based on this limit; it merely truncates the sequence once the ceiling is reached."
},
{
"id": 0,
"label": "masked",
"localized": "Occlusion Targeted",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mask invert",
"localized": "Logical Bitwise NOT",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mask strength",
"localized": "Influence Magnitude",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Multistep restore",
"localized": "Iterative Fidelity Reconstruction",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mask blur",
"localized": "Gaussian Edge Softening",
"reload": "",
"hint": "Pixel-radius for softening the transitions on the occlusion boundary."
},
{
"id": 0,
"label": "Min guidance",
"localized": "Guidance Floor",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max guidance",
"localized": "Guidance Ceiling",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Motion level",
"localized": "Temporal Variance Delta",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mode after",
"localized": "Post-Process State",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Method after",
"localized": "Post-Process Procedure",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mode mask",
"localized": "Occlusion Logic State",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Method mask",
"localized": "Occlusion Mapping Procedure",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Maximum units",
"localized": "Unit Ceiling",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max faces",
"localized": "Facial Recognition Limit",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Medium",
"localized": "Mid-Tier Density",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Merge alpha",
"localized": "Transparency Alpha Blending",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mask only",
"localized": "Exclusive Occlusion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max Length",
"localized": "Sequence Length Limit",
"reload": "",
"hint": "The ceiling for the number of generated tokens during semantic captioning."
},
{
"id": 0,
"label": "Min Flavors",
"localized": "Token Density Floor",
"reload": "",
"hint": "The minimum quantity of descriptive semantic tags to retain in the processed prompt."
},
{
"id": 0,
"label": "Max Flavors",
"localized": "Token Density Ceiling",
"reload": "",
"hint": "The maximum quantity of descriptive semantic tags allowed in the processed prompt."
},
{
"id": 0,
"label": "Max tags",
"localized": "Attribute Limit",
"reload": "",
"hint": "Upper bound for output tags. Items are prioritized by confidence scores before truncation."
},
{
"id": 0,
"label": "Memory",
"localized": "VRAM Allocation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Memory optimization",
"localized": "Resource Efficiency Protocol",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model Info",
"localized": "Weights Telemetry",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model pipeline",
"localized": "Architecture Pipeline",
"reload": "",
"hint": "Manually override the model architecture type if the automated detection protocol fails to initialize."
},
{
"id": 0,
"label": "Model auto-load on start",
"localized": "Boot-Time Weights Ingestion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model load using multiple threads",
"localized": "Parallel Thread Ingestion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model auto-download on demand",
"localized": "Dynamic Remote Ingestion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model load using streams",
"localized": "Buffered Stream Ingestion",
"reload": "",
"hint": "Enables optimized bit-streaming for weight loading across high-latency network storage."
},
{
"id": 0,
"label": "Model load model direct to GPU",
"localized": "Direct-to-VRAM Mapping",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model types not to offload",
"localized": "Offload Exemption List",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modules to always offload",
"localized": "Static Offload Targets",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modules to never offload",
"localized": "Persistent Memory Residents",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model types not to quantize",
"localized": "Quantization Exemption List",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modules to not convert",
"localized": "Conversion Bypass Nodes",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modules dtype dict",
"localized": "Data-Type Schema Map",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Math",
"localized": "Precision Arithmetic",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Memory limit",
"localized": "VRAM Ceiling",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "migraphx",
"localized": "MIGraphX-Backend",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "max-autotune",
"localized": "Aggressive Tuning Profile",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "max-autotune-no-cudagraphs",
"localized": "Tuning Profile (Legacy Graph)",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Maximum image size (MP)",
"localized": "Resolution Mega-Pixel Limit",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max words",
"localized": "String Token Limit",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Modern",
"localized": "Contemporary UI",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mount URL subpath",
"localized": "Sub-URL Endpoint Mapping",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mobile scale",
"localized": "Handheld Viewport Scalar",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Move detailer model to CPU when complete",
"localized": "Post-Detailing CPU Eviction",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Move base model to CPU when using refiner",
"localized": "Refiner-Stage VRAM Offloading",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Move base model to CPU when using VAE",
"localized": "VAE-Stage VRAM Offloading",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Move refiner model to CPU when not in use",
"localized": "Idle Refiner Offloading",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Move VAE and CLIP to RAM when training",
"localized": "Training-State System Memory Transfer",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model name",
"localized": "Checkpointer ID",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model base path",
"localized": "Root Weights Directory",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Max shard size",
"localized": "Segmented File Limit",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Model class",
"localized": "Architecture Class",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Mid Block",
"localized": "Median UNet Lattice",
"reload": "",
"hint": "Primary central block within the UNet architecture."
},
{
"id": 0,
"label": "Model precision",
"localized": "Floating Point Accuracy",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Maximum rank",
"localized": "LoRA Dimensional Rank",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Midas depth",
"localized": "MiDaS Depth Estimation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "MLSD",
"localized": "M-LSD Segment Detection",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "MediaPipe Face",
"localized": "MediaPipe Neural Mesh",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Marigold Depth",
"localized": "Marigold Iterative Depth",
"reload": "",
"hint": ""
}
],
"n": [
{
"id": 0,
"label": "Networks",
"localized": "Neural Lattice Interface",
"reload": "btn_extra_networks",
"hint": "Cybernetic user portal for multi-layered neural weight configurations"
},
{
"id": 0,
"label": "New row",
"localized": "Vector Row Initialization",
"reload": "",
"hint": "Initialize a horizontal array for parallel processing streams"
},
{
"id": 0,
"label": "New column",
"localized": "Vertical Matrix Expansion",
"reload": "",
"hint": "Append a vertical vector axis to the current UI topology"
},
{
"id": 0,
"label": "Nunchaku",
"localized": "Nunchaku Accelerator",
"reload": "",
"hint": "High-velocity inference optimization protocols"
},
{
"id": 0,
"label": "nsfw",
"localized": "Bio-Metric Filtering",
"reload": "",
"hint": "Toggle restricted anatomical generative outputs"
},
{
"id": 0,
"label": "NudeNet",
"localized": "Anatomical Logic Gate",
"reload": "",
"hint": "Polymorphic heuristic module for the detection and obfuscation of biological exposure parameters"
},
{
"id": 0,
"label": "Nunchaku Engine",
"localized": "Nunchaku Warp Core",
"reload": "",
"hint": "Primary execution kernel for quantized neural workloads"
},
{
"id": 0,
"label": "NNCF: Neural Network Compression Framework",
"localized": "NNCF: Neural Density Optimization",
"reload": "",
"hint": "Framework for algorithmic weight pruning and architectural distillation"
},
{
"id": 0,
"label": "Noise Options",
"localized": "Entropy Variance Parameters",
"reload": "",
"hint": "Configuration for stochastic diffusion perturbations"
},
{
"id": 0,
"label": "Networks panel",
"localized": "Lattice Control Console",
"reload": "",
"hint": "Primary interface for external neural module management"
},
{
"id": 0,
"label": "Networks UI",
"localized": "Lattice Visualization GUI",
"reload": "",
"hint": "Graphical deployment layer for extra-network subroutines"
},
{
"id": 0,
"label": "Networks Scan",
"localized": "Lattice Recursive Audit",
"reload": "",
"hint": "Initiate deep-sector scan for unlinked neural weight packages"
},
{
"id": 0,
"label": "Negative prompt",
"localized": "Null-Vector Specification",
"reload": "",
"hint": "Input anti-lexical tokens to define spatial exclusion zones within the latent manifold"
},
{
"id": 0,
"label": "Number",
"localized": "Integer Scalar",
"reload": "",
"hint": "Numerical value for discrete variable modulation"
},
{
"id": 0,
"label": "negative",
"localized": "Anti-Matter Trace",
"reload": "",
"hint": "Inverse influence coefficients for the prompt matrix"
},
{
"id": 0,
"label": "None",
"localized": "Null State",
"reload": "",
"hint": "Deactivate current regional prompting heuristics"
},
{
"id": 0,
"label": "NSFW allowed",
"localized": "Unrestricted Biometric Output",
"reload": "",
"hint": "Authorize the generation of adult-class biological data via enhanced prompt-logic"
},
{
"id": 0,
"label": "Noise strength",
"localized": "Stochastic Amplitude",
"reload": "",
"hint": "Intensity of thermal noise injection into the diffusion process"
},
{
"id": 0,
"label": "NMS",
"localized": "Non-Maximum Suppression",
"reload": "",
"hint": "Redundant overlapping signal elimination algorithm"
},
{
"id": 0,
"label": "Near threshold",
"localized": "Proximity Sensitivity Gate",
"reload": "",
"hint": "Detection limit for local feature extraction within the control manifold"
},
{
"id": 0,
"label": "Noise scale",
"localized": "Stochastic Scaling Factor",
"reload": "",
"hint": "Amplitude of random variance within the temporal video buffer"
},
{
"id": 0,
"label": "Note",
"localized": "Data Log Entry",
"reload": "",
"hint": "User-defined textual metadata for current session parameters"
},
{
"id": 0,
"label": "Non-blocking move operations",
"localized": "Asynchronous VRAM Shifting",
"reload": "",
"hint": "Enable concurrent data migration between host and device without execution stalls"
},
{
"id": 0,
"label": "Nunchaku attention",
"localized": "Nunchaku FP16 Tensor Kernel",
"reload": "",
"hint": "Overrides default cross-attention with optimized FP16 kernels for maximized throughput on high-bandwidth NVIDIA silicon. Highly effective for Flux-architecture manifolds. Disabled by default."
},
{
"id": 0,
"label": "Nunchaku offloading",
"localized": "Ping-Pong Buffer Offloading",
"reload": "",
"hint": "Orchestrates asynchronous CPU-to-GPU data pipelines. Uses a dual-buffer strategy to preload transformer blocks in the background, masking latency for low-VRAM hardware configurations."
},
{
"id": 0,
"label": "native",
"localized": "Core Architecture",
"reload": "",
"hint": "Utilize the hardware-intrinsic execution path"
},
{
"id": 0,
"label": "no-grad",
"localized": "Gradient-Zero Suppression",
"reload": "",
"hint": "Disables the backpropagation computational graph via torch.no_grad to accelerate inference throughput and minimize VRAM footprint"
},
{
"id": 0,
"label": "Numbered filenames",
"localized": "Sequential UID Assignment",
"reload": "",
"hint": "Assign incremental integer identifiers to output data packets"
},
{
"id": 0,
"label": "Network card size (px)",
"localized": "Lattice Node Dimension (px)",
"reload": "",
"hint": "Pixel-wise spatial scale for neural module preview representations"
},
{
"id": 0,
"label": "Noise multiplier for image processing",
"localized": "Post-Process Entropy Gain",
"reload": "",
"hint": "Amplification factor for stochastic artifacts during image refinement stages"
},
{
"id": 0,
"label": "New model name",
"localized": "Target Neural Label",
"reload": "",
"hint": "Designate the identifier for the merged weights package"
},
{
"id": 0,
"label": "Number of ReBasin Iterations",
"localized": "ReBasin Permutation Cycles",
"reload": "",
"hint": "Total count of weight alignment and model-space permutations prior to final compilation"
},
{
"id": 0,
"label": "Network prompt",
"localized": "Module-Specific Lexicon",
"reload": "",
"hint": "Input tokens specific to the active neural lattice"
},
{
"id": 0,
"label": "Network negative prompt",
"localized": "Module-Specific Null-Vector",
"reload": "",
"hint": "Inverse tokens specific to the active neural lattice"
},
{
"id": 0,
"label": "Network parameters",
"localized": "Lattice Hyper-Constants",
"reload": "",
"hint": "Configuration variables for localized neural weight influence"
}
],
"o": [
{
"id": 0,
"label": "Output",
"localized": "Holographic Projection Matrix",
"reload": "",
"hint": "Toggle the visibility of the multispectral render buffer and live latency-warped recursive voxel streams during the generation phase"
},
{
"id": 0,
"label": "OpenCLiP",
"localized": "Neural Semantic Decoupler (OpenCLiP)",
"reload": "",
"hint": "Initialize lexical-visual cross-referencing through a high-order Contrastive Language-Image Pre-training node architecture via OpenCLiP"
},
{
"id": 0,
"label": "ONNX",
"localized": "Open Neural Network Exchange Protocol",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Override",
"localized": "Kernel Parameter Hijack",
"reload": "",
"hint": "Bypass static configuration flags to inject dynamic runtime attributes sourced from upstream metadata packets"
},
{
"id": 0,
"label": "Optimum Quanto",
"localized": "Optimum Quantization Compression Logic",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Optimum Quanto: post-load",
"localized": "Post-Instantiation Quantization Scrubbing",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Optional",
"localized": "Arbitrary Auxiliary Node",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Olive",
"localized": "Olive Optimization Engine",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "OpenVINO",
"localized": "Intel Visual Inference Neural Optimization",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Other...",
"localized": "Unmapped Sub-Routines...",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Outputs & Images",
"localized": "Artifacts & Photonic Captures",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Override settings",
"localized": "System Configuration Overclock",
"reload": "",
"hint": "If current inference vectors deviate from hardcoded system state, activate a prioritized override stack to realign hardware resources for this specific workflow"
},
{
"id": 0,
"label": "Override sampler",
"localized": "Stochastic Trajectory Overwrite",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Override steps",
"localized": "Iteration Frequency Override",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Ortho",
"localized": "Orthogonal Projection Vector",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload face module",
"localized": "Morphological Module VRAM Purge",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Override scheduler",
"localized": "Temporal Discretization Hijack",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Optional image description",
"localized": "Auxiliary Semantic Metadata",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Order",
"localized": "Execution Sequence Index",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Overlay",
"localized": "Alpha-Channel Superimposition",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Override resolution",
"localized": "Spatial Dimension Reconstruction",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload processor",
"localized": "Pre-Processing Unit De-allocation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Output directory",
"localized": "Target Data Repository",
"reload": "",
"hint": "Designated storage sector for the persistence of post-processed visual telemetry data"
},
{
"id": 0,
"label": "original",
"localized": "Legacy LDM Core Architecture",
"reload": "",
"hint": "Initial Latent Diffusion Model backend architecture for backward compatibility"
},
{
"id": 0,
"label": "Offload caption models",
"localized": "Lexical Descriptor Memory Flush",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload during pre-forward",
"localized": "Synchronous Pre-Inference Buffer Purge",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload using streams",
"localized": "Asynchronous Bitstream Pipelining",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload low watermark",
"localized": "Minimum VRAM Threshold Flush",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload GPU high watermark",
"localized": "GPU Saturation Limit De-allocation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload CPU high watermark",
"localized": "CPU Heap Pressure Relief",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Offload blocks",
"localized": "Modular Tensor Partition Offloading",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "OpenVINO activations mode",
"localized": "OpenVINO Activation Function Logic",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ONNX Execution Provider",
"localized": "ONNX Hardware Abstraction Layer",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ONNX allow fallback to CPU",
"localized": "Heterogeneous CPU Redundancy Path",
"reload": "",
"hint": "Enable an emergency failover routine to standard CPU processing should the primary hardware accelerator encounter a catastrophic exception"
},
{
"id": 0,
"label": "ONNX cache converted models",
"localized": "ONNX Serialized Model Persistence",
"reload": "",
"hint": "Write optimized ONNX binaries to local non-volatile storage to expedite future initialization routines within the ONNX subsystem"
},
{
"id": 0,
"label": "ONNX unload base model when processing refiner",
"localized": "Interleaved Base-Model Memory Reclamation",
"reload": "",
"hint": "Eject the primary model weights from the active buffer during the conversion or optimization of the secondary refiner node"
},
{
"id": 0,
"label": "Olive use FP16 on optimization",
"localized": "Olive Half-Precision Quantization (FP16)",
"reload": "",
"hint": "Utilize 16-bit floating point mantissas for the Olive output model; disable this to maintain full 32-bit precision at the cost of memory overhead"
},
{
"id": 0,
"label": "Olive force FP32 for VAE Encoder",
"localized": "VAE Encoder Precision Locking (FP32)",
"reload": "",
"hint": "Enforce high-bitrate floating point precision specifically for the VAE encoding block to mitigate NaN-related artifacts or zero-value (black) output anomalies"
},
{
"id": 0,
"label": "Olive use static dimensions",
"localized": "Inference Graph Static Dimension Locking",
"reload": "",
"hint": "Accelerate inference by freezing the neural graph dimensions via OrtTransformersOptimization routines"
},
{
"id": 0,
"label": "Olive cache optimized models",
"localized": "Olive Optimized Binary Repository",
"reload": "",
"hint": "Commit optimized Olive model states to the cache layer for rapid re-deployment within the ONNX interface"
},
{
"id": 0,
"label": "OpenVINO disable model caching",
"localized": "OpenVINO Volatile Execution Mode",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "OpenVINO disable memory cleanup after compile",
"localized": "Persistent OpenVINO Compilation Buffers",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "onediff",
"localized": "OneDiff Synchronous Acceleration",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "olive-ai",
"localized": "Olive-AI Neural Framework",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "openvino_fx",
"localized": "OpenVINO FX Graph Transformation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Overwrite existing",
"localized": "Atomic Asset Overwrite",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Out Block",
"localized": "Upsampling UNet Tensor Blocks",
"reload": "",
"hint": "The upsampling stage of the UNet architectural spine (12 vectors for SD1.5, 9 vectors for SDXL)"
},
{
"id": 0,
"label": "Overwrite model",
"localized": "Destructive Model Merge",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Output model",
"localized": "Target Resultant Weightset",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Overwrite existing file",
"localized": "Non-Volatile Disk Sector Re-write",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Options",
"localized": "Configuration Parameters",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "OpenBody",
"localized": "Skeletal Anatomy Logic (OpenBody)",
"reload": "",
"hint": ""
}
],
"p": [
{
"id": 69001,
"label": "Process",
"localized": "Neural Manifestation Protocol",
"reload": "n/a",
"hint": "Initiate heuristic image re-synthesis via algorithmic sub-routines. Facilitates multi-stage upscaling, background excision, and the application of diverse post-processing filtration arrays."
},
{
"id": 69002,
"label": "Prompts",
"localized": "Tokenized Lexicon Inputs",
"reload": "n/a",
"hint": "Primary and antithetic semantic vectors utilized to modulate the latent space manifold."
},
{
"id": 69003,
"label": "Pause",
"localized": "Temporal Buffer Suspend",
"reload": "n/a",
"hint": "Interrupt the current inference sequence and hold the processing state in volatile memory."
},
{
"id": 69004,
"label": "Post",
"localized": "Post-Inference Rectification",
"reload": "n/a",
"hint": "Apply spatial transformation matrices and resolution scaling post-generation."
},
{
"id": 69005,
"label": "Preview",
"localized": "Real-time Visual Feedback",
"reload": "n/a",
"hint": "Asynchronous rendering of the current diffusion iteration."
},
{
"id": 69006,
"label": "Process Image",
"localized": "Unit Data Synthesis",
"reload": "n/a",
"hint": "Execute processing on a singular visual datum."
},
{
"id": 69007,
"label": "Process Batch",
"localized": "Clustered Data Synthesis",
"reload": "n/a",
"hint": "Execute concurrent processing on a defined set of visual data."
},
{
"id": 69008,
"label": "Process Folder",
"localized": "Recursive Directory Synthesis",
"reload": "n/a",
"hint": "Execute deep-traversal processing on all image assets within the specified directory."
},
{
"id": 69009,
"label": "Provider",
"localized": "Hardware Abstraction Interface",
"reload": "n/a",
"hint": "The underlying compute backend for ONNX execution."
},
{
"id": 69010,
"label": "Pipeline Modifiers",
"localized": "Heuristic Pipeline Injectors",
"reload": "n/a",
"hint": "Sub-system modules that inject specialized logic into the generation pipeline."
},
{
"id": 69011,
"label": "Postprocessing",
"localized": "Downstream Signal Refinement",
"reload": "n/a",
"hint": "Configuration parameters for post-latent-decoding refinement and spatial upscaling."
},
{
"id": 69012,
"label": "Preset Block Merge",
"localized": "U-Net Block Interpolation",
"reload": "n/a",
"hint": "Synchronize and fuse specific layers of neural architectures."
},
{
"id": 69013,
"label": "Pony",
"localized": "SDXL-P Variant",
"reload": "n/a",
"hint": "Specialized architectural branch optimized for diverse stylistic outputs."
},
{
"id": 69014,
"label": "Preview metadata",
"localized": "Exif Header Inspection",
"reload": "n/a",
"hint": "Analyze embedded generation parameters within the image header."
},
{
"id": 69015,
"label": "Prompt",
"localized": "Semantic Vector Directive",
"reload": "n/a",
"hint": "The linguistic anchor used to guide the denoising process towards a specific objective."
},
{
"id": 69016,
"label": "Processed Preview",
"localized": "Pre-Inference Vis (Visualizer)",
"reload": "n/a",
"hint": "Toggle the visualization of pre-processing filter outputs prior to full latent diffusion."
},
{
"id": 69017,
"label": "PixelArt",
"localized": "Discrete Quantization Filter",
"reload": "n/a",
"hint": "Reduce visual fidelity to emulate vintage rasterized aesthetic."
},
{
"id": 69018,
"label": "PAG: Perturbed attention guidance",
"localized": "Perturbed Attention Guidance",
"reload": "n/a",
"hint": "A technique to increase output fidelity by injecting noise into the attention mechanism."
},
{
"id": 69019,
"label": "PAB: Pyramid attention broadcast",
"localized": "Pyramid Attention Broadcast",
"reload": "n/a",
"hint": "Optimizes cross-attention computational load by broadcasting attention maps across resolution scales."
},
{
"id": 69020,
"label": "Para-attention",
"localized": "Parallel Attention Sub-systems",
"reload": "n/a",
"hint": "Asynchronous computation of attention weights to minimize latency."
},
{
"id": 69021,
"label": "Paths for specific models",
"localized": "Architectural Resource URI",
"reload": "n/a",
"hint": "Define the local address space for specific model weights."
},
{
"id": 69022,
"label": "Prediction method",
"localized": "Denoising Prediction Objective",
"reload": "n/a",
"hint": "Defines the target variable of the model's iterative solver. Epsilon targets noise, Sample targets x0 (the final image), V-Prediction targets velocity for high-speed convergence, and Flow targets the vector field."
},
{
"id": 69023,
"label": "PAG scale",
"localized": "PAG Magnitude Offset",
"reload": "n/a",
"hint": "The amplification factor for the attention perturbation."
},
{
"id": 69024,
"label": "PAG start",
"localized": "PAG Temporal Trigger",
"reload": "n/a",
"hint": "The specific timestep in the diffusion sequence where perturbation begins."
},
{
"id": 69025,
"label": "PAG stop",
"localized": "PAG Temporal Termination",
"reload": "n/a",
"hint": "The specific timestep in the diffusion sequence where perturbation ceases."
},
{
"id": 69026,
"label": "PAG layers",
"localized": "PAG Target Strata",
"reload": "n/a",
"hint": "Specific transformer blocks designated for attention perturbation."
},
{
"id": 69027,
"label": "PAG config",
"localized": "PAG Operational Schema",
"reload": "n/a",
"hint": "The technical configuration string for complex attention guiding."
},
{
"id": 69028,
"label": "Perform SDSA",
"localized": "Execute SDSA Protocol",
"reload": "n/a",
"hint": "Initiate Semantic Distributed Spatial Alignment for consistency."
},
{
"id": 69029,
"label": "Perform Injection",
"localized": "Execute Latent Injection",
"reload": "n/a",
"hint": "Inject cross-frame consistency features into the attention layers."
},
{
"id": 69030,
"label": "PhotoMaker Model",
"localized": "PhotoMaker Neural Engine",
"reload": "n/a",
"hint": "The specific model weights utilized for identity-preserving synthesis."
},
{
"id": 69031,
"label": "Penalty",
"localized": "Logit Suppression Factor",
"reload": "n/a",
"hint": "Numerical weight used to discourage specific token repetitions or patterns."
},
{
"id": 69032,
"label": "positive",
"localized": "Positive Vector",
"reload": "n/a",
"hint": "The semantic direction the model should approach."
},
{
"id": 69033,
"label": "Prompt EX",
"localized": "Extended Lexical Parser",
"reload": "n/a",
"hint": "An advanced regional prompting implementation."
},
{
"id": 69034,
"label": "Power",
"localized": "Influence Coefficient",
"reload": "n/a",
"hint": "The relative strength assigned to a specific regional prompt segment."
},
{
"id": 69035,
"label": "Prompt thresholds",
"localized": "Lexical Activation Floors",
"reload": "n/a",
"hint": "The minimum confidence values required for specific prompt triggers."
},
{
"id": 69036,
"label": "Preset",
"localized": "Configuration Profile",
"reload": "n/a",
"hint": "A predefined collection of hyperparameters and pipeline settings."
},
{
"id": 69037,
"label": "Pad frames",
"localized": "Temporal Buffer Expansion",
"reload": "n/a",
"hint": "Append null frames to ensure temporal consistency in video sequences."
},
{
"id": 69038,
"label": "Prefill text",
"localized": "Response Prefix Injection",
"reload": "n/a",
"hint": "Pre-loads the LLM output buffer to steer the semantic direction of the enhanced prompt."
},
{
"id": 69039,
"label": "Prompt prefix",
"localized": "Header Token Injection",
"reload": "n/a",
"hint": "A string of tokens prepended to the generated prompt to enforce global stylistic constraints."
},
{
"id": 69040,
"label": "Prompt suffix",
"localized": "Footer Token Injection",
"reload": "n/a",
"hint": "A string of tokens appended to the generated prompt to enforce terminal stylistic constraints."
},
{
"id": 69041,
"label": "Padding",
"localized": "Canvas Margin Buffer",
"reload": "n/a",
"hint": "Additional pixel space around the mask for context-aware inpainting."
},
{
"id": 69042,
"label": "Prompt strength",
"localized": "Vector Influence Scalar",
"reload": "n/a",
"hint": "Determines the degree to which the semantic prompt overrides the input image."
},
{
"id": 69043,
"label": "Preview start",
"localized": "Vis-Buffer Initialization",
"reload": "n/a",
"hint": "The iteration step where the visual feedback system initializes."
},
{
"id": 69044,
"label": "Preview end",
"localized": "Vis-Buffer Termination",
"reload": "n/a",
"hint": "The iteration step where the visual feedback system shuts down."
},
{
"id": 69045,
"label": "Pixels to expand",
"localized": "Outpainting Extent",
"reload": "n/a",
"hint": "The distance in pixels to extend the canvas during the extrapolation process."
},
{
"id": 69046,
"label": "Processor",
"localized": "ControlNet Preprocessor",
"reload": "n/a",
"hint": "The specific algorithm used to extract conditioning features from the source image."
},
{
"id": 69047,
"label": "Pose confidence",
"localized": "Keypoint Probability Threshold",
"reload": "n/a",
"hint": "The sensitivity level for skeletal keypoint detection."
},
{
"id": 69048,
"label": "Parameter free",
"localized": "Zero-Param Mode",
"reload": "n/a",
"hint": "Execute the module without loading additional learned weights."
},
{
"id": 69049,
"label": "Processed",
"localized": "Post-Synthesized Output",
"reload": "n/a",
"hint": "Toggle the visibility of the refined output stack."
},
{
"id": 69050,
"label": "Postprocess mask",
"localized": "Inpainting Mask Refinement",
"reload": "n/a",
"hint": "Apply morphological operations to the binary mask."
},
{
"id": 69051,
"label": "PixelArt block size",
"localized": "Rasterization Resolution",
"reload": "n/a",
"hint": "The pixel dimensions of the discrete quantization blocks."
},
{
"id": 69052,
"label": "PixelArt sharpen",
"localized": "Edge Contrast Amplification",
"reload": "n/a",
"hint": "Apply a high-pass filter to the pixelated output."
},
{
"id": 69053,
"label": "Platform",
"localized": "Hardware Runtime Environment",
"reload": "n/a",
"hint": "The detected OS and hardware architecture."
},
{
"id": 69054,
"label": "Pipeline",
"localized": "Execution Flowchart",
"reload": "n/a",
"hint": "The sequential logic graph of the generation process."
},
{
"id": 69055,
"label": "Perform warmup",
"localized": "Cuda Kernel Warmup",
"reload": "n/a",
"hint": "Execute initial dummy inference to optimize memory allocation and cache."
},
{
"id": 69056,
"label": "Prompt attention normalization",
"localized": "Token Weight Equalization",
"reload": "n/a",
"hint": "Normalizes the softmax distribution of attention scores across the prompt sequence."
},
{
"id": 69057,
"label": "performance",
"localized": "Compute Optimization",
"reload": "n/a",
"hint": "Settings pertaining to the efficiency of the backend processing."
},
{
"id": 69058,
"label": "Performance Counter",
"localized": "Telemetry Monitor",
"reload": "n/a",
"hint": "Real-time tracking of hardware utilization and inference speed."
},
{
"id": 69059,
"label": "PAG layer names",
"localized": "Target Strata Identifiers",
"reload": "n/a",
"hint": "Specific block addresses (e.g., d-down, m-middle, u-up) for perturbation injection."
},
{
"id": 69060,
"label": "PAB cache enabled",
"localized": "Attention Cache Protocol",
"reload": "n/a",
"hint": "Enable the storage of redundant attention maps to accelerate inference."
},
{
"id": 69061,
"label": "PAB spacial skip range",
"localized": "Spatial Subsampling Interval",
"reload": "n/a",
"hint": "The frequency of spatial resolution layers to skip for PAB."
},
{
"id": 69062,
"label": "PAB spacial skip start",
"localized": "Subsampling Init",
"reload": "n/a",
"hint": "The resolution scale where the skipping protocol begins."
},
{
"id": 69063,
"label": "PAB spacial skip end",
"localized": "Subsampling Term",
"reload": "n/a",
"hint": "The resolution scale where the skipping protocol ends."
},
{
"id": 69064,
"label": "ParaAttention first-block cache enabled",
"localized": "Lead Block Memoization",
"reload": "n/a",
"hint": "Store the results of the primary attention block to skip computation in subsequent frames."
},
{
"id": 69065,
"label": "ParaAttention residual diff threshold",
"localized": "Delta Threshold Trigger",
"reload": "n/a",
"hint": "The limit of change required before the ParaAttention cache is invalidated."
},
{
"id": 69066,
"label": "Parallel process images in batch",
"localized": "Concurrent Batch Processing",
"reload": "n/a",
"hint": "Leverage multi-threaded CUDA streams to process images simultaneously."
},
{
"id": 69067,
"label": "precompile",
"localized": "AOT Compilation",
"reload": "n/a",
"hint": "Pre-calculate the model's graph into optimized machine code."
},
{
"id": 69068,
"label": "Panel minimum width",
"localized": "UI Sub-division Constriction",
"reload": "n/a",
"hint": "The floor value for the horizontal dimension of UI elements."
},
{
"id": 69069,
"label": "Persist UI layout",
"localized": "Stateful UI Retention",
"reload": "n/a",
"hint": "Store and restore the user interface configuration across sessions."
},
{
"id": 69070,
"label": "Progress update period",
"localized": "Telemetry Polling Rate",
"reload": "n/a",
"hint": "The interval in milliseconds at which the interface queries the engine for status updates."
},
{
"id": 69071,
"label": "Play a notification upon completion",
"localized": "Inference Finish Trigger",
"reload": "n/a",
"hint": "Emit an auditory signal when the manifest sequence concludes."
},
{
"id": 69072,
"label": "Path to notification sound",
"localized": "Auditory Asset URI",
"reload": "n/a",
"hint": "The system path to the audio file for task completion alerts."
},
{
"id": 69073,
"label": "Postprocessing operation order",
"localized": "Refinement Queue Logic",
"reload": "n/a",
"hint": "Define the sequence in which post-inference filters are applied."
},
{
"id": 69074,
"label": "Prompt padding",
"localized": "Context Token Padding",
"reload": "n/a",
"hint": "Insert null tokens into the prompt vector to maintain consistent context length beyond 75 tokens."
},
{
"id": 69075,
"label": "Pad prompt and negative prompt to be same length",
"localized": "Vector Length Equalization",
"reload": "n/a",
"hint": "Force both the positive and negative embedding vectors to share identical spatial dimensions."
},
{
"id": 69076,
"label": "Pin training dataset to memory",
"localized": "VRAM Dataset Residency",
"reload": "n/a",
"hint": "Lock the training data in system RAM to eliminate I/O bottlenecks."
},
{
"id": 69077,
"label": "Primary model",
"localized": "Base Model Weights",
"reload": "n/a",
"hint": "The root architecture used for interpolation or merging."
},
{
"id": 69078,
"label": "Preset Interpolation Ratio",
"localized": "Profile Mixing Scalar",
"reload": "n/a",
"hint": "The percentage of influence for each selected configuration preset."
},
{
"id": 69079,
"label": "Prune",
"localized": "Weights Redundancy Removal",
"reload": "n/a",
"hint": "Strip non-essential training data from the model file to reduce footprint."
},
{
"id": 69080,
"label": "Prediction type",
"localized": "Inference Target Paradigm",
"reload": "n/a",
"hint": "Select between Noise, Velocity, or Direct Sample prediction methods."
},
{
"id": 69081,
"label": "Prompt enhance",
"localized": "LLM Semantic Expansion",
"reload": "n/a",
"hint": "Utilize an auxiliary language model to mutate and enrich the input prompt."
},
{
"id": 69082,
"label": "PidiNet",
"localized": "PIDI Edge Detection",
"reload": "n/a",
"hint": "A specialized edge detection neural network for ControlNet conditioning."
},
{
"id": 69083,
"label": "Parameters",
"localized": "Global Config Hyperparameters",
"reload": "n/a",
"hint": "The foundational settings governing the diffusion engine."
},
{
"id": 69084,
"label": "Postprocess upscale",
"localized": "Latent Post-Rescaling",
"reload": "n/a",
"hint": "Perform high-resolution upscaling after the initial generation sequence."
}
],
"q": [
{
"id": 0,
"label": "Quick Settings",
"localized": "Quantum Preference Matrix",
"reload": "",
"hint": "Access the primary sub-dimensional nodes cached for rapid temporal retrieval"
},
{
"id": 0,
"label": "Quantized",
"localized": "Entropic-Compressed",
"reload": "",
"hint": "Digital waveform undergoing lossy bit-depth truncation for optimal inference throughput"
},
{
"id": 0,
"label": "Qwen layered",
"localized": "Qwen-Class Stratified Architecture",
"reload": "",
"hint": "Multi-plane neural lattice configuration for Qwen-series cognitive arrays"
},
{
"id": 0,
"label": "Quicksettings",
"localized": "Rapid-Access Heuristics",
"reload": "",
"hint": "The global interface for modifying active synaptic parameters on the fly"
},
{
"id": 0,
"label": "Qwen layered number of layers",
"localized": "Qwen Stratification Index",
"reload": "",
"hint": "Numerical density of neural processing planes within the Qwen manifold"
},
{
"id": 0,
"label": "Quantization mode",
"localized": "Bit-Depth Reduction Protocol",
"reload": "",
"hint": "The specific algorithm used to downscale floating-point precision into discrete integer states"
},
{
"id": 0,
"label": "Quantization type",
"localized": "Compression Vector Archetype",
"reload": "",
"hint": "The structural format for bit-depth truncation of the weight manifold"
},
{
"id": 0,
"label": "Quantized MatMul type",
"localized": "Sub-Precision Matrix Convolution Logic",
"reload": "",
"hint": "The execution logic for matrix multiplication operations within a truncated bit-space"
},
{
"id": 0,
"label": "Quantization type for Text Encoders",
"localized": "Linguistic Manifold Compression",
"reload": "",
"hint": "The specific bit-reduction algorithm applied to the semantic-to-vector encoding nodes"
},
{
"id": 0,
"label": "Quantized MatMul type for Text Encoders",
"localized": "Linguistic Matrix Product Logic",
"reload": "",
"hint": "Mathematical operation protocols for processing semantic embeddings within a compressed numerical space"
},
{
"id": 0,
"label": "Quantize convolutional layers",
"localized": "Spatio-Temporal Filter Truncation",
"reload": "",
"hint": "Enable bit-depth reduction for the feature-extraction convolutional sub-lattices"
},
{
"id": 0,
"label": "Quantize using GPU",
"localized": "Hardware-Accelerated Bit-Reduction",
"reload": "",
"hint": "Offload the precision-truncation calculations to the parallel processing cores of the graphics array"
},
{
"id": 0,
"label": "Quantization weights type",
"localized": "Synaptic Weight Precision Format",
"reload": "",
"hint": "The numerical encoding standard for the static synaptic values within the model"
},
{
"id": 0,
"label": "Quantization activations type",
"localized": "Dynamic Impulse Precision Format",
"reload": "",
"hint": "The numerical encoding standard for the transient signals passing through the neural network"
},
{
"id": 0,
"label": "Quicksettings list",
"localized": "Heuristic Priority Manifest",
"reload": "",
"hint": "A comma-delimited string of node identifiers to be injected into the primary viewport for rapid oversight"
}
],
"r": [
{
"id": 0,
"label": "Refine",
"localized": "Post-Processing Iteration",
"reload": "txt2img_refine",
"hint": "Refine runs additional processing after initial processing has completed and can be used to upscale image and run optionally process it again to increase quality and details"
},
{
"id": 1,
"label": "Restore",
"localized": "Parametric Reversion",
"reload": "txt2img_paste",
"hint": "Restore parameters from current prompt or last known generated image"
},
{
"id": 2,
"label": "Reset anchors",
"localized": "Re-initialize Anchor Indices",
"reload": "component-714",
"hint": ""
},
{
"id": 3,
"label": "Reload model",
"localized": "Re-serialize Model Weight Tensors",
"reload": "component-942",
"hint": "Reload currently selected model"
},
{
"id": 4,
"label": "Reprocess",
"localized": "Iterative Regeneration",
"reload": "txt2img_reprocess",
"hint": "Reprocess previous generations using different parameters"
},
{
"id": 5,
"label": "Resize to",
"localized": "Rescale to Target Resolution",
"reload": "",
"hint": ""
},
{
"id": 6,
"label": "Resize\n by",
"localized": "Scalar Rescale Ratio",
"reload": "",
"hint": ""
},
{
"id": 7,
"label": "Resize\n to",
"localized": "Dimensional Rescaling",
"reload": "",
"hint": ""
},
{
"id": 8,
"label": "Run Preview",
"localized": "Execute Real-time Rendering",
"reload": "control_mask_refresh",
"hint": ""
},
{
"id": 9,
"label": "Reference",
"localized": "Inference Schematics",
"reload": "",
"hint": "List of reference models that can be automatically downloaded on first use"
},
{
"id": 10,
"label": "Reset receipe",
"localized": "Purge Configuration Manifest",
"reload": "framepack_btn_reset_model",
"hint": ""
},
{
"id": 11,
"label": "Run",
"localized": "Execute Neural Sequence",
"reload": "video_generation_info_button",
"hint": ""
},
{
"id": 12,
"label": "Refresh extension list",
"localized": "Re-scan Plugin Repository",
"reload": "component-8585",
"hint": "Refresh list of available extensions"
},
{
"id": 13,
"label": "Restart server",
"localized": "Re-initialize Server Instance",
"reload": "restart_submit",
"hint": ""
},
{
"id": 14,
"label": "Request browser notifications",
"localized": "Invoke DOM Notification Callbacks",
"reload": "request_notifications",
"hint": ""
},
{
"id": 15,
"label": "Restore UI defaults",
"localized": "Reset Interface Parameters",
"reload": "ui_defaults_restore",
"hint": "Restore default user interface values"
},
{
"id": 16,
"label": "Refresh UI values",
"localized": "Update Interface States",
"reload": "ui_defaults_view",
"hint": ""
},
{
"id": 17,
"label": "Reinstall",
"localized": "Perform Dependency Re-deployment",
"reload": "component-8532",
"hint": ""
},
{
"id": 18,
"label": "Refresh state",
"localized": "Poll Current Status",
"reload": "system_info_tab_refresh_btn",
"hint": ""
},
{
"id": 19,
"label": "Refresh data",
"localized": "Sync System Telemetry",
"reload": "system_info_tab_refresh_full_btn",
"hint": ""
},
{
"id": 20,
"label": "Run benchmark",
"localized": "Execute Performance Profiling",
"reload": "system_info_tab_benchmark_btn",
"hint": ""
},
{
"id": 21,
"label": "Refresh bench",
"localized": "Update Benchmark Metrics",
"reload": "system_info_tab_refresh_bench_btn",
"hint": ""
},
{
"id": 22,
"label": "Restore defaults",
"localized": "Factory Reset Configuration",
"reload": "defaults_submit",
"hint": "Restore default server settings"
},
{
"id": 23,
"label": "Replace",
"localized": "Overwrite Buffer",
"reload": "",
"hint": "Replace image"
},
{
"id": 24,
"label": "Refresh",
"localized": "Update Buffer State",
"reload": "btn_history_refresh",
"hint": ""
},
{
"id": 25,
"label": "Reprocess decode",
"localized": "Latent-to-Pixel Re-conversion",
"reload": "txt2img_reprocess_decode",
"hint": ""
},
{
"id": 26,
"label": "Reprocess refine",
"localized": "Secondary Refinement Pass",
"reload": "txt2img_reprocess_refine",
"hint": ""
},
{
"id": 27,
"label": "Reprocess detail",
"localized": "Localized Detail Enhancement",
"reload": "txt2img_reprocess_detail",
"hint": ""
},
{
"id": 28,
"label": "Remove background",
"localized": "Isolate Foreground Alpha",
"reload": "",
"hint": ""
},
{
"id": 29,
"label": "RAS: Region-Adaptive Sampling",
"localized": "Regional Sampling Adaptivity",
"reload": "",
"hint": ""
},
{
"id": 30,
"label": "Resize",
"localized": "Spatial Quantization",
"reload": "",
"hint": "Image resizing, can be using fixed resolution on based on scale"
},
{
"id": 31,
"label": "Rerefence models",
"localized": "Contextual Schema Models",
"reload": "",
"hint": ""
},
{
"id": 32,
"label": "Replace model components",
"localized": "Module Hot-Swapping",
"reload": "",
"hint": ""
},
{
"id": 33,
"label": "rescale",
"localized": "Tensor Normalization",
"reload": "",
"hint": "rescale betas with zero terminal snr"
},
{
"id": 34,
"label": "Resize seed from width",
"localized": "Coordinate-Aware Seed Interpolation",
"reload": "",
"hint": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"
},
{
"id": 35,
"label": "Resize seed from height",
"localized": "Vertical Seed Correlation Mapping",
"reload": "",
"hint": "Make an attempt to produce a picture similar to what would have been produced with same seed at specified resolution"
},
{
"id": 36,
"label": "Refine guidance",
"localized": "CFG Magnitude for Refinement",
"reload": "",
"hint": "CFG scale used for refiner pass"
},
{
"id": 37,
"label": "Resize mode",
"localized": "Interpolation Protocol",
"reload": "",
"hint": "Defines how the input is resized or adapted in second-pass refinement:
- none: no resizing, keep original resolution
- fixed: force resize to target resolution (may distort)
- crop: center-crop to fit target while keeping aspect ratio
- fill: resize to fit and pad empty space with borders
- outpaint: extend canvas beyond image borders
- context aware: smart resize that blends or adapts surrounding areas"
},
{
"id": 38,
"label": "Resize method",
"localized": "Upscaling Algorithm",
"reload": "",
"hint": "Method used to resize the image: can be simple resize, upscaling model, latent resize or asymmetric decode"
},
{
"id": 39,
"label": "Resize width",
"localized": "Horizontal Pixel Count",
"reload": "",
"hint": "Resizes image to this width. If 0, width is inferred from either of two nearby sliders"
},
{
"id": 40,
"label": "Resize height",
"localized": "Vertical Pixel Count",
"reload": "",
"hint": "Resizes image to this height. If 0, height is inferred from either of two nearby sliders"
},
{
"id": 41,
"label": "Resize scale",
"localized": "Dimensional Multiplier",
"reload": "",
"hint": ""
},
{
"id": 42,
"label": "Refine sampler",
"localized": "Fallback Sampling Algorithm",
"reload": "",
"hint": "Use specific sampler as fallback sampler if primary is not supported for specific operation"
},
{
"id": 43,
"label": "Refiner start",
"localized": "Secondary Pass Activation Threshold",
"reload": "",
"hint": "Refiner pass will start when base model is this much complete (set to larger than 0 and smaller than 1 to run after full base model run) Sult"
},
{
"id": 44,
"label": "Refiner steps",
"localized": "Iteration Count (Refinement)",
"reload": "",
"hint": "Number of steps to use for refiner pass"
},
{
"id": 45,
"label": "Refine prompt",
"localized": "Refinement Contextual Input",
"reload": "",
"hint": "Prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"
},
{
"id": 46,
"label": "Refine negative prompt",
"localized": "Refinement Inverse Constraint",
"reload": "",
"hint": "Negative prompt used for both second encoder in base model (if it exists) and for refiner pass (if enabled)"
},
{
"id": 47,
"label": "Renoise",
"localized": "Noise Injection Modulation",
"reload": "",
"hint": "Apply additional noise during detailing"
},
{
"id": 48,
"label": "Renoise end",
"localized": "Noise Termination Phase",
"reload": "",
"hint": "Final step when renoise is applied"
},
{
"id": 49,
"label": "Range",
"localized": "Parameter Spectrum",
"reload": "",
"hint": ""
},
{
"id": 50,
"label": "Repeat x-axis",
"localized": "Horizontal Tiling Sequence",
"reload": "",
"hint": ""
},
{
"id": 51,
"label": "Repeat y-axis",
"localized": "Vertical Tiling Sequence",
"reload": "",
"hint": ""
},
{
"id": 52,
"label": "ReSwapper Model",
"localized": "Identity Remapping Module",
"reload": "",
"hint": ""
},
{
"id": 53,
"label": "Return original images",
"localized": "Output Initial Tensors",
"reload": "",
"hint": ""
},
{
"id": 54,
"label": "Restart step",
"localized": "Phase Re-initialization Step",
"reload": "",
"hint": ""
},
{
"id": 55,
"label": "Restore pipeline on end",
"localized": "Reset Neural Pipeline State",
"reload": "",
"hint": ""
},
{
"id": 56,
"label": "Randomize seed after each loop iteration",
"localized": "Cyclic Entropy Generation",
"reload": "",
"hint": ""
},
{
"id": 57,
"label": "Random seeds",
"localized": "Stochastic Seed Distribution",
"reload": "",
"hint": ""
},
{
"id": 58,
"label": "Restore pipe on end",
"localized": "Terminate Pipe Recovery",
"reload": "",
"hint": ""
},
{
"id": 59,
"label": "Rows",
"localized": "Horizontal Matrix Subdivisions",
"reload": "",
"hint": ""
},
{
"id": 60,
"label": "Repetition penalty",
"localized": "Logit De-bias Penalty",
"reload": "",
"hint": "Discourages reusing tokens that already appear in the prompt or output by penalizing their probabilities.
Like adding friction to revisiting previous choices. Helps break repetitive loops but may reduce coherence at aggressive values.
Set to 1 to disable."
},
{
"id": 61,
"label": "Redux prompt strength",
"localized": "Redux Contextual Weight",
"reload": "",
"hint": ""
},
{
"id": 62,
"label": "right",
"localized": "Positive X-Axis Displacement",
"reload": "",
"hint": ""
},
{
"id": 63,
"label": "Reference query weight",
"localized": "Cross-Attention Query Magnitude",
"reload": "",
"hint": ""
},
{
"id": 64,
"label": "Reference adain weight",
"localized": "Adaptive Instance Normalization Bias",
"reload": "",
"hint": ""
},
{
"id": 65,
"label": "Refine upscaler",
"localized": "Secondary Super-Resolution Model",
"reload": "",
"hint": "Select secondary upscaler to run after initial upscaler"
},
{
"id": 66,
"label": "Refine foreground",
"localized": "Anterior Segment Enhancement",
"reload": "",
"hint": ""
},
{
"id": 67,
"label": "Recursive",
"localized": "Nested Directory Traversal",
"reload": "",
"hint": "Process images in subfolders recursively.
When enabled, searches all nested subdirectories for images to process."
},
{
"id": 68,
"label": "Rebase",
"localized": "Git History Alignment",
"reload": "",
"hint": ""
},
{
"id": 69,
"label": "Repos",
"localized": "Remote Data Repositories",
"reload": "",
"hint": ""
},
{
"id": 70,
"label": "Refiner model",
"localized": "Secondary Pass Architecture",
"reload": "",
"hint": "Refiner model used for second-pass operations"
},
{
"id": 71,
"label": "Record torch streams",
"localized": "Asynchronous Stream Logging",
"reload": "",
"hint": ""
},
{
"id": 72,
"label": "Remote VAE image type",
"localized": "Distributed Autoencoder Pixel Format",
"reload": "",
"hint": ""
},
{
"id": 73,
"label": "Remote VAE for encode",
"localized": "Offloaded Latent Encoding",
"reload": "",
"hint": ""
},
{
"id": 74,
"label": "RAS enabled",
"localized": "Regional Adaptivity Status",
"reload": "",
"hint": ""
},
{
"id": 75,
"label": "reduce-overhead",
"localized": "Minimize VRAM Overhead",
"reload": "",
"hint": ""
},
{
"id": 76,
"label": "repeated",
"localized": "Recursive Parameter Cycles",
"reload": "",
"hint": ""
},
{
"id": 77,
"label": "Root model folder",
"localized": "Base Model Directory Path",
"reload": "",
"hint": ""
},
{
"id": 78,
"label": "Resize background color",
"localized": "Canvas Padding Color Hex",
"reload": "",
"hint": ""
},
{
"id": 79,
"label": "Restore from metadata: skip params",
"localized": "Bypass Metadata Hyperparameters",
"reload": "",
"hint": ""
},
{
"id": 80,
"label": "Restore from metadata: skip settings",
"localized": "Bypass Metadata Global Config",
"reload": "",
"hint": ""
},
{
"id": 81,
"label": "requests",
"localized": "Network Request Callbacks",
"reload": "",
"hint": ""
},
{
"id": 82,
"label": "rust",
"localized": "Memory-Safe Engine Layer",
"reload": "",
"hint": ""
},
{
"id": 83,
"label": "Restore unparsed prompt",
"localized": "Revert Raw String Input",
"reload": "",
"hint": ""
},
{
"id": 84,
"label": "Reuse loaded model dictionary",
"localized": "Cache Model Weights Dictionary",
"reload": "",
"hint": ""
},
{
"id": 85,
"label": "ReBasin",
"localized": "Permutation-Based Weight Merging",
"reload": "",
"hint": "Performs multiple merges with permutations in order to keep more features from both models"
},
{
"id": 86,
"label": "Replace VAE",
"localized": "Autoencoder Hot-Swap",
"reload": "",
"hint": ""
},
{
"id": 87,
"label": "Reference unit 1",
"localized": "Reference Module Index 1",
"reload": "",
"hint": ""
}
],
"s": [
{
"id": 755,
"label": "Sampler",
"localized": "Quantum Denoising Algorithm",
"reload": "n/a",
"hint": "Heuristic parameters for the iterative convergence of latent noise vectors. Sampling engines orchestrate the entropy reduction of the seed manifold across specified temporal steps."
},
{
"id": 756,
"label": "Scripts",
"localized": "Automated Sub-routines",
"reload": "n/a",
"hint": "Initialize auxiliary procedural hooks and logic wrappers to expand the generation pipeline via custom script execution."
},
{
"id": 0,
"label": "Scale",
"localized": "Spatial Rescaling Factor",
"reload": "n/a",
"hint": "Apply a geometric multiplier to the output dimensions. This coefficient is bypassed if static pixel-width or pixel-height constraints are enforced."
},
{
"id": 757,
"label": "Swap X/Y",
"localized": "Transpose Primary Axes",
"reload": "n/a",
"hint": "Permute the parametric mapping between the X-axis and Y-axis in the grid matrix."
},
{
"id": 758,
"label": "Swap Y/Z",
"localized": "Transpose Secondary Axes",
"reload": "n/a",
"hint": "Permute the parametric mapping between the Y-axis and Z-axis in the grid matrix."
},
{
"id": 759,
"label": "Swap X/Z",
"localized": "Transpose Tertiary Axes",
"reload": "n/a",
"hint": "Permute the parametric mapping between the X-axis and Z-axis in the grid matrix."
},
{
"id": 760,
"label": "Set prompt",
"localized": "Inject Semantic String",
"reload": "n/a",
"hint": "Map the optimized lexical tokens from the enhancement module into the primary semantic input field."
},
{
"id": 761,
"label": "Skip",
"localized": "Bypass Current Iteration",
"reload": "n/a",
"hint": "Cease processing of the active queue item and proceed immediately to the subsequent task in the execution stack."
},
{
"id": 762,
"label": "Stop",
"localized": "Interrupt Core Process",
"reload": "n/a",
"hint": "Force immediate cessation of all compute operations and flush the generation buffer."
},
{
"id": 0,
"label": "Show",
"localized": "Expose Directory",
"reload": "n/a",
"hint": "Trigger a file system call to display the storage location of the rendered asset."
},
{
"id": 0,
"label": "Save",
"localized": "Commit to Storage",
"reload": "n/a",
"hint": "Execute a write operation to persistent storage for the current visual output."
},
{
"id": 0,
"label": "Sketch",
"localized": "Rasterized Draft",
"reload": "n/a",
"hint": "Initialize a canvas for freehand pixel manipulation within the image-to-image pipeline."
},
{
"id": 763,
"label": "Size & Inputs",
"localized": "Dimensionality & Buffers",
"reload": "n/a",
"hint": "Configure the volumetric resolution and manage the source media ingestion for the video generation pipeline."
},
{
"id": 764,
"label": "Set receipe",
"localized": "Initialize Preset Blueprint",
"reload": "n/a",
"hint": "Apply a predefined architectural template to the current model configuration."
},
{
"id": 0,
"label": "Scale by",
"localized": "Coefficient Upscaling",
"reload": "n/a",
"hint": "Modify the source bitmap dimensions using a relative scaling factor."
},
{
"id": 0,
"label": "Scale to",
"localized": "Target Dimension Mapping",
"reload": "n/a",
"hint": "Force the source bitmap into a specific pixel-defined resolution target."
},
{
"id": 765,
"label": "Settings",
"localized": "Global Configuration",
"reload": "n/a",
"hint": "Modify systemic variables and environment preferences for the application layer."
},
{
"id": 766,
"label": "System",
"localized": "Environment Diagnostics",
"reload": "n/a",
"hint": "Access hardware telemetry, system resources, and low-level environment data."
},
{
"id": 767,
"label": "Shutdown server",
"localized": "Terminate Instance",
"reload": "n/a",
"hint": "Send a termination signal to the backend server process."
},
{
"id": 768,
"label": "Start profiling",
"localized": "Initialize Telemetry",
"reload": "n/a",
"hint": "Commence logging of performance metrics and resource utilization for debugging."
},
{
"id": 0,
"label": "System Info",
"localized": "Hardware Telemetry",
"reload": "n/a",
"hint": "Display comprehensive specifications of the host compute environment."
},
{
"id": 769,
"label": "Set UI defaults",
"localized": "Persist Interface State",
"reload": "n/a",
"hint": "Commit the current UI parameters as the static default configuration for future sessions."
},
{
"id": 770,
"label": "Set UI menu states",
"localized": "Serialize Submenu Tree",
"reload": "n/a",
"hint": "Save the current collapse/expand states of the interface navigation tree."
},
{
"id": 771,
"label": "Send interrupt",
"localized": "Push Break Signal",
"reload": "n/a",
"hint": "Disseminate an asynchronous interrupt to the processing thread."
},
{
"id": 772,
"label": "Submit results",
"localized": "Synchronize Output",
"reload": "n/a",
"hint": "Transmit the processed data block to the central repository."
},
{
"id": 0,
"label": "System Paths",
"localized": "Directory Mapping",
"reload": "n/a",
"hint": "Configure absolute or relative pathing for neural weight repositories and auxiliary assets."
},
{
"id": 0,
"label": "Show all pages",
"localized": "Expose Configuration Tree",
"reload": "n/a",
"hint": "Render all available settings nodes within a single view."
},
{
"id": 773,
"label": "Save model",
"localized": "Serialize Weights",
"reload": "n/a",
"hint": "Write the current state of the model weights to the disk."
},
{
"id": 774,
"label": "Scan missing",
"localized": "Validate Metadata",
"reload": "n/a",
"hint": "Execute a filesystem crawl to identify and reconcile orphaned or missing metadata entries."
},
{
"id": 775,
"label": "Save receipe",
"localized": "Export Blueprint",
"reload": "n/a",
"hint": "Persist the current architectural configuration as a reusable template."
},
{
"id": 0,
"label": "Simple Merge",
"localized": "Linear Weight Interpolation",
"reload": "n/a",
"hint": "Combine two neural networks using weighted arithmetic averaging of their tensors."
},
{
"id": 0,
"label": "Style",
"localized": "Latent Modifier",
"reload": "n/a",
"hint": "Inject pre-defined semantic biases into the prompt encoding process."
},
{
"id": 0,
"label": "SD 1.5",
"localized": "V1.5 Architecture",
"reload": "n/a",
"hint": "Target the 512-native Stable Diffusion legacy architecture."
},
{
"id": 0,
"label": "SD XL",
"localized": "XL Hyper-Architecture",
"reload": "n/a",
"hint": "Target the high-resolution, dual-text-encoder Stable Diffusion architecture."
},
{
"id": 0,
"label": "SD1.5",
"localized": "V1.5 Instance",
"reload": "n/a",
"hint": "Active instance using V1.5 weights."
},
{
"id": 0,
"label": "SDXL",
"localized": "XL Instance",
"reload": "n/a",
"hint": "StableDiffusion XL architecture utilizing refined latent space."
},
{
"id": 776,
"label": "Start",
"localized": "Initialize Engine",
"reload": "n/a",
"hint": "Commence GPU-bound compute operations."
},
{
"id": 777,
"label": "Select",
"localized": "Query Metadata",
"reload": "n/a",
"hint": "Retrieve specific style profiles from the local database."
},
{
"id": 0,
"label": "Size",
"localized": "Output Dimensions",
"reload": "n/a",
"hint": "Set the resolution constraints for the frame sequence."
},
{
"id": 0,
"label": "Size & Batch",
"localized": "Volumetric Distribution",
"reload": "n/a",
"hint": "Define the pixel resolution and the number of concurrent samples to be processed."
},
{
"id": 0,
"label": "Seed",
"localized": "Entropy Origin",
"reload": "n/a",
"hint": "Define the initial noise vector and the specific variation noise offset."
},
{
"id": 0,
"label": "Script",
"localized": "Extended Logic",
"reload": "n/a",
"hint": "Select auxiliary computational modules to hook into the generation cycle."
},
{
"id": 0,
"label": "Stable Diffusion 3.x",
"localized": "Next-Gen DiT Architecture",
"reload": "n/a",
"hint": "Settings for Diffusion Transformer based architectures."
},
{
"id": 0,
"label": "SDNQ: SD.Next Quantization",
"localized": "SDNQ Neural Compression",
"reload": "n/a",
"hint": "Configure low-precision weight representations for optimized VRAM utilization."
},
{
"id": 0,
"label": "Save Options",
"localized": "Serialization Preferences",
"reload": "n/a",
"hint": "Configure pathing and naming conventions for output persistence."
},
{
"id": 0,
"label": "Startup & Server Options",
"localized": "Backend Environment",
"reload": "n/a",
"hint": "Control the initialization parameters and networking of the server instance."
},
{
"id": 0,
"label": "SeedVR",
"localized": "Stereoscopic Entropy",
"reload": "n/a",
"hint": "Post-processing parameters for VR-aligned seed generation."
},
{
"id": 0,
"label": "Styles",
"localized": "Semantic Presets",
"reload": "n/a",
"hint": "Apply auxiliary tokens to the generation parameters based on curated style definitions."
},
{
"id": 0,
"label": "Search & Download",
"localized": "Remote Repository Query",
"reload": "n/a",
"hint": "Query external model repositories for weight downloads."
},
{
"id": 0,
"label": "Server log",
"localized": "Backend STDOUT",
"reload": "n/a",
"hint": "Display the stream of console output from the server process."
},
{
"id": 0,
"label": "Steps",
"localized": "Iteration Count",
"reload": "n/a",
"hint": "Specify the number of discrete denoising updates; higher values increase convergence accuracy at the cost of compute time."
},
{
"id": 0,
"label": "Sampling method",
"localized": "Denoising Algorithm",
"reload": "n/a",
"hint": "The mathematical solver used to navigate the latent noise manifold toward the target image."
},
{
"id": 0,
"label": "Sigma method",
"localized": "Noise Scheduling",
"reload": "n/a",
"hint": "Determines the distribution of noise magnitude (sigma) across the temporal steps.
- default: internal model schedule
- karras: optimized noise decay for higher fidelity
- beta: beta-distribution based schedule
- exponential: logarithmic noise reduction
- lambdas: signal-to-noise ratio balancing
- flowmatch: specific to vector-field matching models"
},
{
"id": 0,
"label": "Sigma adjust",
"localized": "Sigma Coefficient Tuning",
"reload": "n/a",
"hint": "Fine-tune the variance levels of the sampling noise schedule."
},
{
"id": 0,
"label": "Sampler order",
"localized": "Solver Update Degree",
"reload": "n/a",
"hint": "The degree of the numerical ODE solver. Higher-order methods offer better path accuracy but require more floating-point operations."
},
{
"id": 0,
"label": "SLG scale",
"localized": "Skip-Layer Guidance Scale",
"reload": "n/a",
"hint": "Multiplier for the influence of skip-layer guidance on the latent field."
},
{
"id": 0,
"label": "SLG start",
"localized": "SLG Activation Step",
"reload": "n/a",
"hint": "Temporal step at which skip-layer guidance is initialized."
},
{
"id": 0,
"label": "SLG stop",
"localized": "SLG Termination Step",
"reload": "n/a",
"hint": "Temporal step at which skip-layer guidance is deactivated."
},
{
"id": 0,
"label": "SLG layers",
"localized": "SLG Layer Mask",
"reload": "n/a",
"hint": "Define the specific U-Net layers affected by skip-layer guidance."
},
{
"id": 0,
"label": "SLG config",
"localized": "SLG Parameters",
"reload": "n/a",
"hint": "Structural configuration for the skip-layer guidance module."
},
{
"id": 0,
"label": "SEG scale",
"localized": "Semantic Entropy Guidance",
"reload": "n/a",
"hint": "Multiplier for the semantic entropy modulation."
},
{
"id": 0,
"label": "SEG blur sigma",
"localized": "SEG Spatial Diffusion",
"reload": "n/a",
"hint": "Standard deviation for the Gaussian blur applied to the guidance mask."
},
{
"id": 0,
"label": "SEG blur threshold inf",
"localized": "SEG Edge Threshold",
"reload": "n/a",
"hint": "Sensitivity threshold for the entropy-based blur application."
},
{
"id": 0,
"label": "SEG start",
"localized": "SEG Activation Step",
"reload": "n/a",
"hint": "Temporal step at which semantic guidance begins."
},
{
"id": 0,
"label": "SEG stop",
"localized": "SEG Termination Step",
"reload": "n/a",
"hint": "Temporal step at which semantic guidance ends."
},
{
"id": 0,
"label": "SEG layers",
"localized": "SEG Target Blocks",
"reload": "n/a",
"hint": "U-Net attention blocks targeted by the SEG algorithm."
},
{
"id": 0,
"label": "SEG config",
"localized": "SEG Schema",
"reload": "n/a",
"hint": "Hierarchical settings for the semantic entropy module."
},
{
"id": 0,
"label": "Strength",
"localized": "Denoising Coefficient",
"reload": "n/a",
"hint": "Interpolation factor between the original image and the noisy latent; defines the degree of structural transformation."
},
{
"id": 0,
"label": "Sort detections",
"localized": "Bbox Spatial Ordering",
"reload": "n/a",
"hint": "Order detected bounding boxes based on horizontal coordinates rather than confidence scores."
},
{
"id": 0,
"label": "Sharpen",
"localized": "Edge Enhancement",
"reload": "n/a",
"hint": "Apply a high-pass filter or convolution kernel to the final output."
},
{
"id": 0,
"label": "Subject",
"localized": "Core Entity",
"reload": "n/a",
"hint": "Define the primary semantic target for the consistency module."
},
{
"id": 0,
"label": "Same latent",
"localized": "Latent Synchronization",
"reload": "n/a",
"hint": "Force consistent initial noise states across multiple generation frames."
},
{
"id": 0,
"label": "Share queries",
"localized": "Cross-Attention Linking",
"reload": "n/a",
"hint": "Allow attention query vectors to be shared between independent generation heads."
},
{
"id": 0,
"label": "Sigma",
"localized": "Variance Param",
"reload": "n/a",
"hint": "Standard deviation for the noise injection in the multi-diffusion process."
},
{
"id": 0,
"label": "Stride",
"localized": "Tiling Offset",
"reload": "n/a",
"hint": "The step size between overlapping tiles in high-resolution diffusion."
},
{
"id": 0,
"label": "Structure",
"localized": "Geometric Bias",
"reload": "n/a",
"hint": "Control the structural preservation weight for face restoration."
},
{
"id": 0,
"label": "Save HDR image",
"localized": "Export High Dynamic Range",
"reload": "n/a",
"hint": "Persist the output in a 32-bit floating point color space."
},
{
"id": 0,
"label": "Saturation",
"localized": "Chroma Intensity",
"reload": "n/a",
"hint": "Modify the color vibrancy in the HDR mapping stage."
},
{
"id": 0,
"label": "Scale factor",
"localized": "Resolution Multiplier",
"reload": "n/a",
"hint": "The ratio by which the image is upscaled before high-res refinement."
},
{
"id": 0,
"label": "Strength curve",
"localized": "Denoising Decay",
"reload": "n/a",
"hint": "A mathematical function defining how denoising strength changes over iteration loops."
},
{
"id": 0,
"label": "Slider",
"localized": "Linear Controller",
"reload": "n/a",
"hint": "Interface element for adjusting continuous numeric parameters."
},
{
"id": 0,
"label": "Set at prompt start",
"localized": "Prepend Semantic Matrix",
"reload": "n/a",
"hint": "Initialize the matrix logic at the beginning of the prompt sequence."
},
{
"id": 0,
"label": "space",
"localized": "Whitespace Delimiter",
"reload": "n/a",
"hint": "Use space characters to separate tokens in the matrix generator."
},
{
"id": 0,
"label": "Skip guidance layers",
"localized": "Bypass Guidance Blocks",
"reload": "n/a",
"hint": "Exclude specific transformer or U-Net layers from the guidance calculation."
},
{
"id": 0,
"label": "Shared options",
"localized": "Synchronized Parameters",
"reload": "n/a",
"hint": "Configuration settings shared across all aligned generation instances."
},
{
"id": 0,
"label": "Shift",
"localized": "Temporal Offset",
"reload": "n/a",
"hint": "Apply a shift to the temporal alignment of the generated sequence."
},
{
"id": 0,
"label": "Spatial frequency",
"localized": "Pixel Variance Density",
"reload": "n/a",
"hint": "Control the detail frequency distribution in the video synthesis process."
},
{
"id": 0,
"label": "Save as copy",
"localized": "Duplicate Persistence",
"reload": "n/a",
"hint": "Write a non-destructive copy to the file system."
},
{
"id": 0,
"label": "Sensitivity",
"localized": "Detection Threshold",
"reload": "n/a",
"hint": "Threshold value for the neural detection filter."
},
{
"id": 0,
"label": "System prompt",
"localized": "Core Directive",
"reload": "n/a",
"hint": "The top-level instruction that governs LLM behavior, providing high-priority logic that overrides user-level inputs. Used for defining persona and output constraints."
},
{
"id": 0,
"label": "Source subject",
"localized": "Reference Entity",
"reload": "n/a",
"hint": "The primary object used as a reference for the BLIP diffusion process."
},
{
"id": 0,
"label": "Smooth mask",
"localized": "Mask Anti-Aliasing",
"reload": "n/a",
"hint": "Apply soft feathering to the edges of the edit mask."
},
{
"id": 0,
"label": "Scale after",
"localized": "Post-Processing Rescale",
"reload": "n/a",
"hint": "Resize the output after the control module has completed its operation."
},
{
"id": 0,
"label": "Scale mask",
"localized": "Mask Dimension Alignment",
"reload": "n/a",
"hint": "Synchronize the resolution of the control mask with the latent space."
},
{
"id": 0,
"label": "Show input",
"localized": "Expose Source Buffer",
"reload": "n/a",
"hint": "Display the raw input image used for the control operation."
},
{
"id": 0,
"label": "Show preview",
"localized": "Render Intermediate State",
"reload": "n/a",
"hint": "Display the calculated control map before the main generation cycle."
},
{
"id": 0,
"label": "Separate init image",
"localized": "Discrete Source Buffer",
"reload": "n/a",
"hint": "Enable a secondary input channel to separate the control reference from the initial generation source."
},
{
"id": 0,
"label": "Skip input frames",
"localized": "Temporal Frame Bypass",
"reload": "n/a",
"hint": "Ignore a specific count of initial frames from the input video stream."
},
{
"id": 0,
"label": "Style fidelity",
"localized": "Semantic Adherence",
"reload": "n/a",
"hint": "Degree to which the generation follows the stylistic features of the control reference."
},
{
"id": 0,
"label": "Scribble",
"localized": "Canny-based Sketch",
"reload": "n/a",
"hint": "Use a hand-drawn edge map as the structural conditioning."
},
{
"id": 0,
"label": "Score threshold",
"localized": "Confidence Cutoff",
"reload": "n/a",
"hint": "The minimum probability score required for a detection to be considered valid."
},
{
"id": 0,
"label": "Sampler shift",
"localized": "Temporal Sampler Bias",
"reload": "n/a",
"hint": "Adjust the temporal distribution of the sampling steps in video generation."
},
{
"id": 0,
"label": "Save output",
"localized": "Persist Final Render",
"reload": "n/a",
"hint": "Enable file system storage for the processed extras output."
},
{
"id": 0,
"label": "Show result images",
"localized": "Render Output Buffer",
"reload": "n/a",
"hint": "Display the final processed assets in the visual interface."
},
{
"id": 0,
"label": "Save Caption Files",
"localized": "Metadata Sidecar Persistence",
"reload": "n/a",
"hint": "Generate and save .txt files containing the semantic descriptions alongside the image files."
},
{
"id": 0,
"label": "Sort alphabetically",
"localized": "Lexicographical Ordering",
"reload": "n/a",
"hint": "Organize tag results by their character sequence rather than their neural confidence weight."
},
{
"id": 0,
"label": "Show confidence scores",
"localized": "Expose Probability Float",
"reload": "n/a",
"hint": "Render the numerical confidence value (0.0 to 1.0) assigned by the classifier to each tag."
},
{
"id": 0,
"label": "Search",
"localized": "Repository Query",
"reload": "n/a",
"hint": "Execute a search across the localized or remote database."
},
{
"id": 0,
"label": "Sort by",
"localized": "Ordering Metric",
"reload": "n/a",
"hint": "The criteria used to organize the displayed assets."
},
{
"id": 0,
"label": "Specific branch name",
"localized": "Git Branch Target",
"reload": "n/a",
"hint": "Override the default repository branch for extension updates."
},
{
"id": 0,
"label": "Submodules",
"localized": "Recursive Repositories",
"reload": "n/a",
"hint": "Include nested git submodules in the update process."
},
{
"id": 0,
"label": "Server start time",
"localized": "Uptime Epoch",
"reload": "n/a",
"hint": "The timestamp at which the current server instance was initialized."
},
{
"id": 0,
"label": "State",
"localized": "Engine Runtime Status",
"reload": "n/a",
"hint": "Current operational status of the generation engine."
},
{
"id": 0,
"label": "Search Docs",
"localized": "Query Technical Documentation",
"reload": "n/a",
"hint": "Perform a keyword search within the local help system."
},
{
"id": 0,
"label": "Search GitHub Wiki Pages",
"localized": "Remote Wiki Query",
"reload": "n/a",
"hint": "Query the community-maintained documentation on the GitHub repository."
},
{
"id": 0,
"label": "Search Changelog",
"localized": "Query Version History",
"reload": "n/a",
"hint": "Scan the development logs for specific version changes."
},
{
"id": 0,
"label": "Stage boundary ratio",
"localized": "Transition Threshold",
"reload": "n/a",
"hint": "The point in the generation process where the model switches between different processing stages."
},
{
"id": 0,
"label": "sequential",
"localized": "Linear Model Loading",
"reload": "n/a",
"hint": "Load model components in a strict serial order to minimize memory spikes."
},
{
"id": 0,
"label": "SVD rank size",
"localized": "LoRA Rank Dimension",
"reload": "n/a",
"hint": "The inner dimension of the singular value decomposition for quantization."
},
{
"id": 0,
"label": "SVD steps",
"localized": "Decomposition Iterations",
"reload": "n/a",
"hint": "The number of iterations used to calculate the SVD weights."
},
{
"id": 0,
"label": "Shuffle weights in post mode",
"localized": "Stochastic Weight Reordering",
"reload": "n/a",
"hint": "Randomize the distribution of quantized weights during the post-processing phase."
},
{
"id": 0,
"label": "SDXL: Use weighted pooled embeds",
"localized": "Vector Accumulation Pooling",
"reload": "n/a",
"hint": "Utilize the weighted accumulation of pooled text embeddings for improved prompt fidelity."
},
{
"id": 0,
"label": "Sana: Use complex human instructions",
"localized": "Natural Language Instruction Support",
"reload": "n/a",
"hint": "Enable advanced parsing for high-complexity natural language directives."
},
{
"id": 0,
"label": "Scaled-Dot-Product",
"localized": "SDP Attention",
"reload": "n/a",
"hint": "A hardware-accelerated memory optimization for attention layers. Introduces non-determinism unless specifically restricted."
},
{
"id": 0,
"label": "Sage attention",
"localized": "Sage Optimization",
"reload": "n/a",
"hint": "An experimental attention kernel designed for increased throughput at the risk of lower stability."
},
{
"id": 0,
"label": "stable-fast",
"localized": "Torch Compile (Stable-Fast)",
"reload": "n/a",
"hint": "Apply the stable-fast compiler optimization to the model graph."
},
{
"id": 0,
"label": "Save all generated images",
"localized": "Global Persistence",
"reload": "n/a",
"hint": "Write every generated pixel buffer to the storage medium."
},
{
"id": 0,
"label": "Save interrupted images",
"localized": "Partial Render Persistence",
"reload": "n/a",
"hint": "Save the current state of an image even if the generation was manually aborted."
},
{
"id": 0,
"label": "Save all generated image grids",
"localized": "Matrix Persistence",
"reload": "n/a",
"hint": "Persist the consolidated grid views to disk."
},
{
"id": 0,
"label": "Show metadata in full screen image browser",
"localized": "Expose Image Header Data",
"reload": "n/a",
"hint": "Display the generation parameters embedded in the image metadata during full-screen playback."
},
{
"id": 0,
"label": "Save init images",
"localized": "Source Buffer Persistence",
"reload": "n/a",
"hint": "Persist the original input image along with the generated output."
},
{
"id": 0,
"label": "Save image before hires",
"localized": "Save Base Resolution",
"reload": "n/a",
"hint": "Capture the image state immediately prior to the high-resolution upscaling pass."
},
{
"id": 0,
"label": "Save image before refiner",
"localized": "Save Base Architecture Output",
"reload": "n/a",
"hint": "Capture the image state before the secondary refiner model is applied."
},
{
"id": 0,
"label": "Save image before detailer",
"localized": "Save Pre-Detailer Buffer",
"reload": "n/a",
"hint": "Capture the image before the automated detailing sub-routines."
},
{
"id": 0,
"label": "Save image before color correction",
"localized": "Save Raw Chrominance",
"reload": "n/a",
"hint": "Capture the output before applying color space normalization."
},
{
"id": 0,
"label": "Save inpainting mask",
"localized": "Persist Alpha Mask",
"reload": "n/a",
"hint": "Save the generated or user-defined inpainting mask as a separate file."
},
{
"id": 0,
"label": "Save inpainting masked composite",
"localized": "Save Masked Overlay",
"reload": "n/a",
"hint": "Save the final composite of the generated inpainting content and the original image."
},
{
"id": 0,
"label": "Save images to a subdirectory",
"localized": "Hierarchical Storage",
"reload": "n/a",
"hint": "Organize output files into date- or parameter-based subdirectories."
},
{
"id": 0,
"label": "Save metadata in image",
"localized": "Embed Generation Header",
"reload": "n/a",
"hint": "Write the generation parameters into the file's EXIF/PNG chunks."
},
{
"id": 0,
"label": "Save metadata to text file",
"localized": "Sidecar Header Persistence",
"reload": "n/a",
"hint": "Write the generation parameters to a matching .txt sidecar file."
},
{
"id": 0,
"label": "Save metadata to JSON file",
"localized": "Structured Metadata Export",
"reload": "n/a",
"hint": "Write the generation parameters to a structured JSON sidecar."
},
{
"id": 0,
"label": "System information to include in metadata",
"localized": "Telemetry Injection",
"reload": "n/a",
"hint": "Select which hardware and software version flags to embed in the output metadata."
},
{
"id": 0,
"label": "Standard",
"localized": "Vanilla Mode",
"reload": "n/a",
"hint": "The default operational configuration."
},
{
"id": 0,
"label": "Show MOTD",
"localized": "Expose Server Message",
"reload": "n/a",
"hint": "Display the 'Message of the Day' from the server on startup."
},
{
"id": 0,
"label": "sidebar",
"localized": "Lateral Navigation Panel",
"reload": "n/a",
"hint": "Toggle the visibility of the right-hand auxiliary control panel."
},
{
"id": 0,
"label": "Show log view",
"localized": "Enable Console Interface",
"reload": "n/a",
"hint": "Render the real-time log stream within the main viewport."
},
{
"id": 0,
"label": "Show grid in results",
"localized": "Render Composite Grid",
"reload": "n/a",
"hint": "Automatically generate a grid view for batch operations."
},
{
"id": 0,
"label": "Send seed when sending prompt or image to other interface",
"localized": "Entropy Synchronization",
"reload": "n/a",
"hint": "Automatically transfer the active seed value when performing inter-module data transfer."
},
{
"id": 0,
"label": "Send size when sending prompt or image to another interface",
"localized": "Dimensionality Synchronization",
"reload": "n/a",
"hint": "Automatically transfer resolution parameters during inter-module data transfer."
},
{
"id": 0,
"label": "Show labels for aside tabs",
"localized": "Render Secondary Tab Headers",
"reload": "n/a",
"hint": "Display text descriptors for icons in the side navigation bar."
},
{
"id": 0,
"label": "Show labels for main tabs",
"localized": "Render Primary Tab Headers",
"reload": "n/a",
"hint": "Display text descriptors for icons in the top navigation bar."
},
{
"id": 0,
"label": "Show labels for page tabs",
"localized": "Render Local Tab Headers",
"reload": "n/a",
"hint": "Display text descriptors for sub-page navigation."
},
{
"id": 0,
"label": "Show ticks for input range slider",
"localized": "Expose Discrete Increments",
"reload": "n/a",
"hint": "Display visual markers on the slider UI for easier value selection."
},
{
"id": 0,
"label": "Show parameter outline",
"localized": "Highlight Parametric Bounds",
"reload": "n/a",
"hint": "Render a visual border around active parameter groups."
},
{
"id": 0,
"label": "Simple",
"localized": "Low-Fidelity Approximation",
"reload": "n/a",
"hint": "A computationally inexpensive latent projection. Bypasses the VAE for speed, resulting in low-resolution, high-artifact previews."
},
{
"id": 0,
"label": "SeedVR CFG Scale",
"localized": "SeedVR Guidance Multiplier",
"reload": "n/a",
"hint": "Classifier-Free Guidance scale specific to the SeedVR post-processor."
},
{
"id": 0,
"label": "Sort order",
"localized": "Display Hierarchy",
"reload": "n/a",
"hint": "The priority system used for organizing extra network cards."
},
{
"id": 0,
"label": "Skip CivitAI scan for regex pattern(s)",
"localized": "Bypass Remote Metadata Query",
"reload": "n/a",
"hint": "Exclude specific filenames from external metadata lookups using regular expressions."
},
{
"id": 0,
"label": "Show reference styles",
"localized": "Expose Built-in Styles",
"reload": "n/a",
"hint": "Toggle the visibility of the internal system style library."
},
{
"id": 0,
"label": "Skip Generation if NaN found in latents",
"localized": "NaN Exception Handling",
"reload": "n/a",
"hint": "Abort the generation cycle if a Not-a-Number mathematical error is detected in the latent tensor."
},
{
"id": 0,
"label": "Save grids to a subdirectory",
"localized": "Matrix Storage Organization",
"reload": "n/a",
"hint": "Direct image grid outputs into dedicated subfolders."
},
{
"id": 0,
"label": "Show live previews",
"localized": "Render Intermediate Latents",
"reload": "n/a",
"hint": "Enable the real-time visualization of the denoising process."
},
{
"id": 0,
"label": "Save resumable optimizer state when training",
"localized": "Persist Optimizer Checkpoint",
"reload": "n/a",
"hint": "Save the training state to allow for process resumption after an interrupt."
},
{
"id": 0,
"label": "Save training settings to a text file",
"localized": "Training Log Persistence",
"reload": "n/a",
"hint": "Export the current training hyperparameters to a text-based manifest."
},
{
"id": 0,
"label": "Show previews as a grid",
"localized": "Matrix Preview Mode",
"reload": "n/a",
"hint": "Render multiple concurrent previews in a tiled grid format."
},
{
"id": 0,
"label": "Show progressbar",
"localized": "Render Temporal Status Bar",
"reload": "n/a",
"hint": "Display a visual representation of the completion percentage for the active task."
},
{
"id": 0,
"label": "Save generated images within tensorboard",
"localized": "TensorBoard Asset Injection",
"reload": "n/a",
"hint": "Log generated visual assets directly into the TensorBoard event files."
},
{
"id": 0,
"label": "Save loss CSV file every n steps",
"localized": "Loss Metric Logging",
"reload": "n/a",
"hint": "Periodically write training loss statistics to a comma-separated values file."
},
{
"id": 0,
"label": "Save images to a subdirectory when using Save button",
"localized": "Manual Save Hierarchy",
"reload": "n/a",
"hint": "Apply subdirectory logic to assets saved via the manual trigger."
},
{
"id": 0,
"label": "Secondary model",
"localized": "B-Model Weights",
"reload": "n/a",
"hint": "The secondary neural network used in a merge or interpolation operation."
},
{
"id": 0,
"label": "Save metadata",
"localized": "Persist Model Info",
"reload": "n/a",
"hint": "Include a metadata block in the merged model file."
},
{
"id": 0,
"label": "safetensors",
"localized": "Safetensors Format",
"reload": "n/a",
"hint": "Use the secure, header-only serialization format for model storage."
},
{
"id": 0,
"label": "shuffle",
"localized": "RAM-VRAM Load Balancing",
"reload": "n/a",
"hint": "Load the model into system memory and perform calculations in video memory; recommended for high-parameter architectures like SDXL merges."
},
{
"id": 0,
"label": "Save diffusers",
"localized": "Export Diffusers Schema",
"reload": "n/a",
"hint": "Persist the model in the HuggingFace Diffusers directory format."
},
{
"id": 0,
"label": "Save safetensors",
"localized": "Persist Flat Weights",
"reload": "n/a",
"hint": "Persist the model as a single safetensors file."
},
{
"id": 0,
"label": "Search models",
"localized": "Query Neural Repositories",
"reload": "n/a",
"hint": "Scan the repository for available neural weight files."
},
{
"id": 0,
"label": "Select model",
"localized": "Assign Active Weights",
"reload": "n/a",
"hint": "Choose the primary model for the generation pipeline."
},
{
"id": 0,
"label": "Specify model variant",
"localized": "Variant Selection",
"reload": "n/a",
"hint": "Select a specific variant (e.g., fp16, ema-only) from the model repository."
},
{
"id": 0,
"label": "Specify model revision",
"localized": "Git Commit Target",
"reload": "n/a",
"hint": "Select a specific revision hash for the model."
},
{
"id": 0,
"label": "SegmentAnything",
"localized": "SAM Mask Generation",
"reload": "n/a",
"hint": "Initialize the Segment Anything Model for automated object masking."
},
{
"id": 0,
"label": "Sections",
"localized": "Temporal Segments",
"reload": "n/a",
"hint": "Define discrete time intervals for the video generation sequence."
},
{
"id": 0,
"label": "Samplers",
"localized": "Sampling Engines",
"reload": "n/a",
"hint": "Advanced configuration for the numerical solvers and noise schedulers."
}
],
"t": [
{
"id": 693,
"label": "T2I",
"localized": "T2I",
"reload": "txt2img_nav",
"hint": "Initiate visual materialization from lexical input strings
Legacy neural-link interface utilizing classic linguistic-to-pixel conversion protocols"
},
{
"id": 0,
"label": "T2I Adapter",
"localized": "Neuro-Synaptic T2I Linkage",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tagger",
"localized": "Lexical Meta-Data Indexer",
"reload": "",
"hint": "Execute high-fidelity semantic classification of visual arrays using waifu-centric or Booru-aligned neural topologies."
},
{
"id": 0,
"label": "Tag",
"localized": "Index",
"reload": "btn_wd_tag",
"hint": ""
},
{
"id": 0,
"label": "Text Encoder",
"localized": "Linguistic Processing Core",
"reload": "",
"hint": "Global parameters for the semantic-to-vector transformation engine and prompt encoding matrices."
},
{
"id": 0,
"label": "Text",
"localized": "Lexical Seed",
"reload": "",
"hint": "Synthesize visual geometry from linguistic descriptors."
},
{
"id": 0,
"label": "TorchAO",
"localized": "PyTorch-AO Quantization",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TensorRT",
"localized": "NVIDIA Tensor-Runtime",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Torch Options",
"localized": "Backend Computation Flux",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Token Merging",
"localized": "Semantic Vector Fusion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TeaCache",
"localized": "TeaCache Temporal Buffering",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Theme options",
"localized": "Interface Chromatic Config",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Task History",
"localized": "Operational Chronology",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Timestep spacing",
"localized": "Temporal Interval Quantization",
"reload": "",
"hint": "Configures the distribution of temporal slices across the diffusion manifold. Options:
- default: Standard model cadence
- leading: Isometric step distribution
- linspace: Boundary-inclusive linear distribution
- trailing: Final-step anchored distribution sequence"
},
{
"id": 0,
"label": "Timesteps presets",
"localized": "Temporal Sequence Templates",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Timesteps override",
"localized": "Temporal Sequence Manual Bypass",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "thresholding",
"localized": "Dynamic Range Thresholding",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Texture tiling",
"localized": "Seamless Manifold Tiling",
"reload": "",
"hint": "Generate visual data with periodic boundary conditions for infinite procedural tiling."
},
{
"id": 0,
"label": "Threshold",
"localized": "Activation Threshold",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Trigger word",
"localized": "Invocational Token",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Temperature",
"localized": "Stochastic Entropy (Temperature)",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Timestep",
"localized": "Temporal Slice",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=1 y=1",
"localized": "Spatial Node: x=1 y=1",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=1 y=2",
"localized": "Spatial Node: x=1 y=2",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=1 y=3",
"localized": "Spatial Node: x=1 y=3",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=1 y=4",
"localized": "Spatial Node: x=1 y=4",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=2 y=1",
"localized": "Spatial Node: x=2 y=1",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=2 y=2",
"localized": "Spatial Node: x=2 y=2",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=2 y=3",
"localized": "Spatial Node: x=2 y=3",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=2 y=4",
"localized": "Spatial Node: x=2 y=4",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=3 y=1",
"localized": "Spatial Node: x=3 y=1",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=3 y=2",
"localized": "Spatial Node: x=3 y=2",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=3 y=3",
"localized": "Spatial Node: x=3 y=3",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=3 y=4",
"localized": "Spatial Node: x=3 y=4",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=4 y=1",
"localized": "Spatial Node: x=4 y=1",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=4 y=2",
"localized": "Spatial Node: x=4 y=2",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=4 y=3",
"localized": "Spatial Node: x=4 y=3",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile prompt: x=4 y=4",
"localized": "Spatial Node: x=4 y=4",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Temporal frequency",
"localized": "Chronological Frequency",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Top-K",
"localized": "Top-K Probability Pruning",
"reload": "",
"hint": "Constrains lexical selection to the most probable K-candidates. Lower integer values increase deterministic focus; higher values permit stochastic variance."
},
{
"id": 0,
"label": "Top-P",
"localized": "Top-P Nucleus Sampling",
"reload": "",
"hint": "Isolates semantic tokens within a cumulative probability mass P. Dynamically modulates the candidate pool based on neural confidence levels."
},
{
"id": 0,
"label": "Thinking mode",
"localized": "Cognitive Deliberation Protocol",
"reload": "",
"hint": "Engages internal reasoning sub-modules, allowing the core to allocate extra compute cycles to semantic logic. Increases latency but enhances logical coherence."
},
{
"id": 0,
"label": "Target subject",
"localized": "Neural Target Entity",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tool",
"localized": "Utility Sub-Routine",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Textbox",
"localized": "Data Ingest Buffer",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile overlap",
"localized": "Node Convergence Overlap",
"reload": "",
"hint": "Spatial overlap in pixel coordinates to ensure artifact-free seamless integration during high-resolution upscaling."
},
{
"id": 0,
"label": "T2I Strength",
"localized": "Neural Influence Amplitude",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Time embedding mix",
"localized": "Temporal Embedding Fusion",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tiling options",
"localized": "Manifold Tiling Parameters",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tiny",
"localized": "Miniaturized",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "True guidance",
"localized": "Absolute Vector Guidance",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tile frames",
"localized": "Temporal Lattice Cells",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Task",
"localized": "Operational Directive",
"reload": "",
"hint": "Modulates the primary execution mode of the engine. Specific directives trigger specialized internal guidance sub-systems."
},
{
"id": 0,
"label": "Tagger Model",
"localized": "Classification Topology",
"reload": "",
"hint": "Select the neural classifier for metadata generation. WaifuDiffusion topologies utilize dual-threshold character logic."
},
{
"id": 0,
"label": "Torch",
"localized": "Torch Compute Core",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Transformers load using Run:ai streamer",
"localized": "Stream-Optimized Transformer Ingest",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Temporal steps",
"localized": "Chronological Delta Steps",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TE",
"localized": "TE",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "true",
"localized": "true",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Text encoder model",
"localized": "Linguistic Parser Topology",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Text encoder cache size",
"localized": "Semantic Cache Allocation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "T5: Use shared instance of text encoder",
"localized": "T5: Shared Encoder Singleton",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tunable ops limit",
"localized": "Optimizable Operation Bound",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ToMe",
"localized": "Token Merger (ToMe)",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ToDo",
"localized": "Token Downsampling (ToDo)",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "ToMe token merging ratio",
"localized": "ToMe Reduction Coefficient",
"reload": "",
"hint": "Execute redundant vector fusion via ToMe protocols to maximize throughput and minimize VRAM consumption."
},
{
"id": 0,
"label": "ToDo token merging ratio",
"localized": "ToDo Reduction Coefficient",
"reload": "",
"hint": "Execute redundant vector fusion via ToDo protocols to maximize throughput and minimize VRAM consumption."
},
{
"id": 0,
"label": "TaylorSeer",
"localized": "TaylorSeer Prediction",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TeaCache cache enabled",
"localized": "TeaCache Buffer Activation",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TeaCache L1 threshold",
"localized": "TeaCache L1 Delta Threshold",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TAESD",
"localized": "TAESD (Tiny AutoEncoder)",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TAESD variant",
"localized": "TAESD Topology Variant",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "TAESD decode layers",
"localized": "TAESD Decryption Layers",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tensorboard flush period",
"localized": "Metric Sync Interval",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Tertiary model",
"localized": "Z-Axis Merge Model",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "Target model type",
"localized": "Destination Topology Class",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "T2I-Adapter unit 1",
"localized": "Synaptic Unit Alpha",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "T2I-Adapter unit 2",
"localized": "Synaptic Unit Beta",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "T2I-Adapter unit 3",
"localized": "Synaptic Unit Gamma",
"reload": "",
"hint": ""
},
{
"id": 0,
"label": "T2I-Adapter unit 4",
"localized": "Synaptic Unit Delta",
"reload": "",
"hint": ""
}
],
"u": [
{
"id": 7553,
"label": "Unload model",
"localized": "De-instantiate neural weights",
"reload": "",
"hint": "Purge the current synaptic weight matrix from high-bandwidth memory allocation"
},
{
"id": 4217,
"label": "Upload",
"localized": "Ingest payload",
"reload": "",
"hint": "Transmit localized data buffer to the remote processing node"
},
{
"id": 2291,
"label": "Unload",
"localized": "De-allocate",
"reload": "",
"hint": "Release memory hooks for the active vision-language inference module"
},
{
"id": 8586,
"label": "Update all installed",
"localized": "Synchronize expansion modules",
"reload": "",
"hint": "Trigger a version-check and pull binary updates for all integrated sub-routines"
},
{
"id": 1005,
"label": "Update",
"localized": "Patch logic",
"reload": "",
"hint": "Perform a differential sync of the current software state"
},
{
"id": 4492,
"label": "User interface",
"localized": "Front-end parameters",
"reload": "",
"hint": "Configure the visual abstraction layer and interaction paradigms"
},
{
"id": 5511,
"label": "Update all",
"localized": "Refresh metadata",
"reload": "",
"hint": "Initiate an exhaustive update sequence for all local model descriptors"
},
{
"id": 9932,
"label": "Upscale",
"localized": "Resolution interpolation",
"reload": "",
"hint": "Apply spatial enhancement algorithms to increase pixel density via predictive sampling"
},
{
"id": 8821,
"label": "UI Tabs",
"localized": "Interface nodes",
"reload": "",
"hint": "Manage the organizational layout of primary navigation modules"
},
{
"id": 3345,
"label": "Upscaling",
"localized": "Post-process enhancement",
"reload": "",
"hint": "Configure hyper-parameters for latent or spatial up-sampling routines"
},
{
"id": 6612,
"label": "Use segmentation",
"localized": "Semantic masking",
"reload": "",
"hint": "Isolate specific semantic primitives using a pixel-wise classification mask"
},
{
"id": 1123,
"label": "Unload adapter",
"localized": "Flush IP-adapter buffer",
"reload": "",
"hint": "Immediately purge the image-prompt conditioning matrix after inference to reclaim VRAM overhead"
},
{
"id": 5542,
"label": "Use same seed",
"localized": "Entropy lock",
"reload": "",
"hint": "Maintain deterministic output by locking the pseudo-random number generator state"
},
{
"id": 9090,
"label": "Use defaults",
"localized": "Restore factory heuristic",
"reload": "",
"hint": "Revert operational parameters to their baseline hard-coded values"
},
{
"id": 3112,
"label": "Use text inputs",
"localized": "Lexical bypass",
"reload": "",
"hint": "Override graphical selectors with raw string-based data entry"
},
{
"id": 7761,
"label": "Use random seeds",
"localized": "Stochastic initialization",
"reload": "",
"hint": "Force the generation engine to sample new entropy for every iteration"
},
{
"id": 4456,
"label": "Use vision",
"localized": "Multimodal synthesis",
"reload": "",
"hint": "Inject visual tensor data into the prompt refinement logic for contextual grounding"
},
{
"id": 2231,
"label": "Use samplers",
"localized": "Enable stochastic sampling",
"reload": "",
"hint": "Toggle between probabilistic token selection and greedy-mode maximum-likelihood decoding"
},
{
"id": 1109,
"label": "Unload after processing",
"localized": "Auto-purge VRAM",
"reload": "",
"hint": "Initiate an automated memory cleanup cycle upon job completion"
},
{
"id": 8892,
"label": "up",
"localized": "up",
"reload": "",
"hint": "Shift the outpainting focal point toward the positive Y-axis"
},
{
"id": 4561,
"label": "Upscaler",
"localized": "Super-resolution engine",
"reload": "",
"hint": "Specify the pre-trained neural network designated for spatial up-sampling"
},
{
"id": 3341,
"label": "Units",
"localized": "Metric scalars",
"reload": "",
"hint": "Define the dimensional units for spatial control parameters"
},
{
"id": 7721,
"label": "Unload processor",
"localized": "De-initialize backend",
"reload": "",
"hint": "Terminate the active control-unit pre-processor thread"
},
{
"id": 5521,
"label": "Use spaces",
"localized": "Normalize lexical tokens",
"reload": "",
"hint": "Execute a string-replace operation converting underscores to whitespace for tokenizer compatibility"
},
{
"id": 9912,
"label": "Username",
"localized": "Identity string",
"reload": "",
"hint": "Unique identifier for user session authentication"
},
{
"id": 6622,
"label": "UNET model",
"localized": "Noise-predictor core",
"reload": "",
"hint": "Configure parameters for the primary U-Net denoising architecture"
},
{
"id": 1234,
"label": "Use torch streams",
"localized": "Parallel compute streams",
"reload": "",
"hint": "Utilize asynchronous CUDA stream management to optimize compute-to-copy overlapping"
},
{
"id": 9876,
"label": "Use SVD quantization",
"localized": "Singular Value Decomposition compression",
"reload": "",
"hint": "Apply SVD-based weight quantization to reduce memory footprint with minimal fidelity loss"
},
{
"id": 5432,
"label": "Use Dynamic quantization",
"localized": "On-the-fly quantization",
"reload": "",
"hint": "Dynamically re-calculate activation scales to optimize throughput vs precision"
},
{
"id": 2109,
"label": "Use quantized MatMul",
"localized": "Compressed linear algebra",
"reload": "",
"hint": "Execute matrix multiplication operations using reduced-bitwidth integer arithmetic"
},
{
"id": 8765,
"label": "Use quantized MatMul with conv",
"localized": "Quantized convolutional kernels",
"reload": "",
"hint": "Apply 8-bit quantization to convolutional layers for hardware-accelerated inference"
},
{
"id": 4321,
"label": "Use line break as prompt segment marker",
"localized": "CRLF delimiter protocol",
"reload": "",
"hint": "Treat carriage returns as hard boundaries for prompt-attention weighting"
},
{
"id": 9012,
"label": "Use zeros for prompt padding",
"localized": "Zero-tensor nulling",
"reload": "",
"hint": "Initialize null-prompt embeddings as absolute zero vectors to eliminate stray Gaussian noise"
},
{
"id": 6543,
"label": "Upcast sampling",
"localized": "Precision up-casting",
"reload": "",
"hint": "Compute sampling logic in FP32 to mitigate numerical instability while maintaining FP16 weights"
},
{
"id": 3210,
"label": "Unset",
"localized": "Nullify",
"reload": "",
"hint": "Remove the variable binding from the current environment config"
},
{
"id": 7890,
"label": "UI save only saves selected image",
"localized": "Selective persistence",
"reload": "",
"hint": "Restrict I/O write operations to the single active image buffer in the view-port"
},
{
"id": 4567,
"label": "Use image gallery cache",
"localized": "VRAM frame caching",
"reload": "",
"hint": "Enable local caching of rendered assets to minimize disk-seek latency"
},
{
"id": 8901,
"label": "Use fixed width thumbnails",
"localized": "Static aspect-ratio previews",
"reload": "",
"hint": "Enforce rigid horizontal dimensions for the preview grid regardless of original source geometry"
},
{
"id": 2345,
"label": "UI theme",
"localized": "CSS visual skin",
"reload": "",
"hint": "Switch between different stylesheets for the browser-based control panel"
},
{
"id": 6789,
"label": "UI request timeout",
"localized": "Socket latency threshold",
"reload": "",
"hint": "Define the maximum temporal window for server-side response before termination"
},
{
"id": 1235,
"label": "UI locale",
"localized": "Localization string",
"reload": "",
"hint": "Select the ISO language code for the interface translation layer"
},
{
"id": 5678,
"label": "Unload upscaler after processing",
"localized": "Transient upscaler lifecycle",
"reload": "",
"hint": "Release the super-resolution model from memory immediately following post-processing"
},
{
"id": 9013,
"label": "Upscaler latent steps",
"localized": "Latent-space refinement iterations",
"reload": "",
"hint": "Define the number of denoising steps applied within the latent upscale pass"
},
{
"id": 3456,
"label": "Upscaler tile size",
"localized": "Sub-matrix dimensions",
"reload": "",
"hint": "Set the pixel dimensions for tiled processing; zero-value disables the tiling overhead"
},
{
"id": 7891,
"label": "Upscaler tile overlap",
"localized": "Boundary padding",
"reload": "",
"hint": "Specify the pixel-width of redundant processing areas to prevent seam artifacts"
},
{
"id": 2346,
"label": "Use cached model config when available",
"localized": "Local manifest priority",
"reload": "",
"hint": "Prioritize locally stored model configurations over remote repository fetches"
},
{
"id": 6780,
"label": "UI show on startup",
"localized": "Auto-initialize panel",
"reload": "",
"hint": "Toggle the visibility of the extra networks panel during the initial boot sequence"
},
{
"id": 1236,
"label": "UI sidebar width (%)",
"localized": "Lateral UI scaling",
"reload": "",
"hint": "Define the horizontal percentage of the screen allocated to the sidebar interface"
},
{
"id": 5679,
"label": "UI height (%)",
"localized": "Vertical viewport scaling",
"reload": "",
"hint": "Adjust the vertical UI footprint as a percentage of the total window height"
},
{
"id": 9014,
"label": "UI fetch network info on mouse-over",
"localized": "Asynchronous metadata polling",
"reload": "",
"hint": "Trigger a background fetch for network descriptors when the cursor hovers over an item"
},
{
"id": 3457,
"label": "Use reference values when available",
"localized": "Heuristic override",
"reload": "",
"hint": "Leverage embedded reference parameters for optimal configuration tuning"
},
{
"id": 7892,
"label": "user",
"localized": "user",
"reload": "",
"hint": "Identifier for the primary operator account"
},
{
"id": 2347,
"label": "Upcast attention layer",
"localized": "Attention precision boosting",
"reload": "",
"hint": "Force the cross-attention layers to operate in 32-bit floating point to prevent overflow"
},
{
"id": 6781,
"label": "Use separate base dict",
"localized": "Decoupled dictionary mapping",
"reload": "",
"hint": "Utilize a discrete base dictionary for mapping model weight identifiers"
},
{
"id": 1237,
"label": "Use model EMA weights when possible",
"localized": "EMA weight extraction",
"reload": "",
"hint": "Prefer the Exponential Moving Average weights for increased structural coherence in outputs"
},
{
"id": 5670,
"label": "Use Kohya method for handling multiple LoRA",
"localized": "Kohya-style rank-adaptation",
"reload": "",
"hint": "Apply the Kohya protocol for scaling and merging multiple Low-Rank Adaptation layers"
},
{
"id": 9015,
"label": "UI scripts order",
"localized": "Script execution priority",
"reload": "",
"hint": "Define the sequential order in which interface extension scripts are initialized"
},
{
"id": 3458,
"label": "Use upscaler as suffix",
"localized": "Filename metadata tagging",
"reload": "",
"hint": "Append the name of the super-resolution model to the exported file string"
},
{
"id": 7893,
"label": "Unload Current Model from VRAM",
"localized": "Volatile memory purge",
"reload": "",
"hint": "Flush the active neural network from the GPU memory bus"
},
{
"id": 2348,
"label": "unet",
"localized": "unet",
"reload": "",
"hint": "Primary convolutional architecture responsible for spatial denoising"
},
{
"id": 6782,
"label": "Upsample",
"localized": "Pixel interpolation",
"reload": "",
"hint": "Apply an algorithmic increase to the video frame dimensions"
}
],
"v": [
{
"id": 751,
"label": "Video",
"localized": "Temporal Synthetic Chrono-Stream",
"reload": "",
"hint": "Initiate multi-dimensional temporal sequence synthesis using varying algorithmic methodologies including recursive latent interpolation and cross-frame flux stabilization."
},
{
"id": 752,
"label": "Video Params",
"localized": "Chrono-Vector Parameterization",
"reload": "",
"hint": "Configure bit-rate quantization and codec encapsulation protocols for the final temporal stream export."
},
{
"id": 753,
"label": "VLM Caption",
"localized": "Visual-Linguistic Neural Descriptive Logic",
"reload": "",
"hint": "Invoke a vision-language manifold to deconstruct visual pixel-clusters into semantic tokenized descriptors."
},
{
"id": 754,
"label": "Variational Auto Encoder",
"localized": "Variational Stochastic Latent-Space Transcoder",
"reload": "",
"hint": "Calibrate the probability-based auto-encoding manifolds responsible for mapping latent tensors into the perceptible pixel domain."
},
{
"id": 755,
"label": "VAE",
"localized": "VAE",
"reload": "",
"hint": "Variational Auto Encoder: The fundamental latent-to-pixel reconstruction bridge utilized during the terminal generation phase."
},
{
"id": 756,
"label": "Video Output",
"localized": "Temporal Stream Discharge",
"reload": "",
"hint": ""
},
{
"id": 757,
"label": "Variation",
"localized": "Secondary Stochastic Divergence Seed",
"reload": "",
"hint": "Introduce a subsidiary entropy source to be linearly interpolated with the primary noise vector."
},
{
"id": 758,
"label": "Variation strength",
"localized": "Divergence Amplitude Gradient",
"reload": "",
"hint": "Modulate the coefficient of the secondary noise vector. A value of 0 preserves the primary manifold; 1 fully transitions to the secondary stochastic state."
},
{
"id": 759,
"label": "VAE type",
"localized": "Latent Reconstruction Protocol",
"reload": "",
"hint": "Determine whether to deploy a high-fidelity manifold, a quantized low-precision proxy, or an external cloud-based transduction node."
},
{
"id": 760,
"label": "Vibrance",
"localized": "Chromatic Saturation Intensity",
"reload": "",
"hint": ""
},
{
"id": 761,
"label": "Version",
"localized": "Iteration Manifest",
"reload": "",
"hint": ""
},
{
"id": 762,
"label": "Video format",
"localized": "Temporal Data Encapsulation",
"reload": "",
"hint": "Define the bitstream container and transform-domain compression codec for the output sequence."
},
{
"id": 763,
"label": "Video duration",
"localized": "Temporal Span Magnitude",
"reload": "",
"hint": ""
},
{
"id": 764,
"label": "Video engine",
"localized": "Chrono-Synthesis Processor",
"reload": "",
"hint": ""
},
{
"id": 765,
"label": "Video model",
"localized": "Temporal Latent Weights",
"reload": "",
"hint": ""
},
{
"id": 766,
"label": "VAE decode",
"localized": "Latent-to-Pixel Transduction",
"reload": "",
"hint": ""
},
{
"id": 767,
"label": "Video interpolation",
"localized": "Inter-Frame Motion Estimation",
"reload": "",
"hint": ""
},
{
"id": 768,
"label": "Video codec",
"localized": "Motion Vector Compressor",
"reload": "",
"hint": ""
},
{
"id": 769,
"label": "Video options",
"localized": "Chrono-Configuration Matrix",
"reload": "",
"hint": ""
},
{
"id": 770,
"label": "Video save video",
"localized": "Commit Temporal Stream to Disk",
"reload": "",
"hint": ""
},
{
"id": 771,
"label": "Video save frames",
"localized": "Export Discrete Frame Tensors",
"reload": "",
"hint": ""
},
{
"id": 772,
"label": "Video save safetensors",
"localized": "Archive Latent Tensor Weights",
"reload": "",
"hint": ""
},
{
"id": 773,
"label": "Video file",
"localized": "Source Temporal Asset",
"reload": "",
"hint": ""
},
{
"id": 774,
"label": "VLM Model",
"localized": "Neural Visual-Linguistic Processor",
"reload": "",
"hint": "Select the specific hyper-parameterized model for cross-modal vision tasks. Thinking-mode nodes utilize extended cognitive recursive loops."
},
{
"id": 775,
"label": "VLM Max Tokens",
"localized": "Maximum Tokenized Response Capacity",
"reload": "",
"hint": "The upper bound for generated semantic units. Exceeding this limit triggers an immediate truncation of the linguistic stream."
},
{
"id": 776,
"label": "VLM Num Beams",
"localized": "Concurrent Heuristic Path Search",
"reload": "",
"hint": "Executes a parallelized tree-search of potential token sequences to maximize global probability. Higher values increase deterministic precision at the cost of compute cycles."
},
{
"id": 777,
"label": "VLM Temperature",
"localized": "Stochastic Entropy Multiplier",
"reload": "",
"hint": "Scales the probability distribution of the next token. Low values force deterministic convergence; high values increase the variance of the generative manifold."
},
{
"id": 778,
"label": "VLM",
"localized": "VLM",
"reload": "",
"hint": ""
},
{
"id": 779,
"label": "VAE model",
"localized": "Reconstruction Manifold Weights",
"reload": "",
"hint": "External weights designed to refine high-frequency details and recalibrate chromatic accuracy within the pixel space."
},
{
"id": 780,
"label": "VAE slicing",
"localized": "Sequential Batch-Latent Processing",
"reload": "",
"hint": "Decomposes batch tensors into singular units to mitigate VRAM saturation during the final transduction phase."
},
{
"id": 781,
"label": "VAE tiling",
"localized": "Recursive Spatial Tile Decomposition",
"reload": "",
"hint": "Splits high-resolution tensors into overlapping sub-matrices to enable rendering on hardware with limited memory registers."
},
{
"id": 782,
"label": "VAE tile size",
"localized": "Spatial Sub-Matrix Dimensions",
"reload": "",
"hint": ""
},
{
"id": 783,
"label": "VAE tile overlap",
"localized": "Sub-Matrix Margin Intersection",
"reload": "",
"hint": ""
},
{
"id": 784,
"label": "verbose",
"localized": "Extended Diagnostic Telemetry",
"reload": "",
"hint": ""
},
{
"id": 785,
"label": "VAE sliced encode",
"localized": "Linear Latent Compression",
"reload": "",
"hint": ""
},
{
"id": 786,
"label": "VGen params",
"localized": "Temporal Synthesis Modulators",
"reload": "",
"hint": ""
}
],
"w": [
{
"id": 0,
"label": "Wiki",
"localized": "Knowledge Base Core",
"reload": "n/a",
"hint": "Access the central neural documentation hub for algorithmic paradigms."
},
{
"id": 1,
"label": "Wildcards",
"localized": "Stochastic Input Tokens",
"reload": "n/a",
"hint": "Inject randomized variable strings into the prompt matrix for non-deterministic output."
},
{
"id": 2,
"label": "WanAI",
"localized": "WanAI Neural Architecture",
"reload": "n/a",
"hint": "Configure specific parameters for the WanAI generative inference engine."
},
{
"id": 3,
"label": "Watermarking",
"localized": "Steganographic Data Embedding",
"reload": "n/a",
"hint": "Apply persistent digital provenance metadata to the generated pixel array."
},
{
"id": 4,
"label": "Width",
"localized": "Horizontal Dimension",
"reload": "n/a",
"hint": "Define the primary X-axis resolution for the latent diffusion canvas."
},
{
"id": 5,
"label": "Warmth",
"localized": "Chromatic Thermal Bias",
"reload": "n/a",
"hint": "Adjust the Kelvin-weighted color distribution within the post-processing LUT."
},
{
"id": 6,
"label": "Weight",
"localized": "Scalar Influence Magnitude",
"reload": "n/a",
"hint": "The quantitative impact factor applied to the specified model adaptation layer."
},
{
"id": 7,
"label": "Width after",
"localized": "Post-Processing X-Resolution",
"reload": "n/a",
"hint": "The final horizontal dimension following conditional spatial transformation."
},
{
"id": 8,
"label": "Width mask",
"localized": "Spatial Masking X-Constraint",
"reload": "n/a",
"hint": "The horizontal boundary parameters for the localized attention mask."
},
{
"id": 9,
"label": "WebP lossless compression",
"localized": "Non-Destructive WebP Encoding",
"reload": "n/a",
"hint": "Utilize entropy-based bitstream preservation for the WebP image format."
},
{
"id": 10,
"label": "Weights clip",
"localized": "Synaptic Weight Normalization",
"reload": "n/a",
"hint": "Execute a clamping operation on merged tensor values to mitigate catastrophic chrominance saturation and maintain latent stability."
}
],
"x": [
{
"id": 0,
"label": "XS",
"localized": "XS",
"reload": "",
"hint": "Quantum-scale sub-dimensional lattice fragmentation."
},
{
"id": 1,
"label": "X components",
"localized": "Vectorized Axial Component Arrays",
"reload": "",
"hint": "Primary axial throughput modules for multi-dimensional tensor mapping."
},
{
"id": 2,
"label": "X overlap",
"localized": "Lateral Interference Interleaving",
"reload": "",
"hint": "The degree of spatial phase-coherence between adjacent horizontal data manifolds."
},
{
"id": 3,
"label": "X-axis tiles",
"localized": "Horizontal Matrix Sub-Divisions",
"reload": "",
"hint": "Quantity of discrete spatial partitions along the primary horizontal vector."
},
{
"id": 4,
"label": "X-axis tile overlap",
"localized": "Horizontal Tile Phase-Padding",
"reload": "",
"hint": "The pixel-density of transitional buffers between horizontal matrix segments."
},
{
"id": 5,
"label": "X type",
"localized": "Horizontal Parameter Dimension",
"reload": "",
"hint": "The specific algorithmic variable assigned to the horizontal grid axis."
},
{
"id": 6,
"label": "X values",
"localized": "Horizontal Input Parameters",
"reload": "",
"hint": "Input comma-delimited strings to populate the horizontal axis of the parameter manifold."
},
{
"id": 7,
"label": "xhinker",
"localized": "Synaptic Neural Flux Core",
"reload": "",
"hint": "The heuristic processing unit for predictive text-encoder optimization."
},
{
"id": 8,
"label": "xFormers",
"localized": "Non-Deterministic Memory Overclocker",
"reload": "",
"hint": "Recursive memory optimization utilizing non-deterministic flux-state tensor calculation."
},
{
"id": 9,
"label": "xet",
"localized": "Xet-Scale Remote Repository",
"reload": "",
"hint": "Extended-entropy transfer protocol for high-throughput model synchronization."
},
{
"id": 10,
"label": "XYZ Grid",
"localized": "Tri-Axial Parameter Manifold",
"reload": "",
"hint": "An advanced multi-dimensional matrix generation module for stress-testing generation variables via comparative spatial mapping."
}
],
"y": [
{
"id": 0,
"label": "Y components",
"localized": "Synchronized Polarity Y-Matrices",
"reload": "",
"hint": "Configures the multi-dimensional spectral harmonics along the secondary vertical coordinate plane."
},
{
"id": 0,
"label": "Y overlap",
"localized": "Y-Axis Dimensional Phase-Shift",
"reload": "",
"hint": "The degree of structural interference and tessellation redundancy between vertical sampling buffers."
},
{
"id": 0,
"label": "Y-axis tiles",
"localized": "Vertical Quantization Sub-Grids",
"reload": "",
"hint": "Determines the total number of discrete spatial packets processed along the Y-axis manifold."
},
{
"id": 0,
"label": "Y-axis tile overlap",
"localized": "Vertical Buffer Interpolation Delta",
"reload": "",
"hint": "The calculated pixel-margin for seamless cross-stitching of vertical tile-sets during synthesis."
},
{
"id": 0,
"label": "Y type",
"localized": "Y-Parameter Modality Selector",
"reload": "",
"hint": "Defines the specific algorithmic vector used for the vertical axis of the experimental grid."
},
{
"id": 0,
"label": "Y values",
"localized": "Y-Axis Constant Array",
"reload": "",
"hint": "A delimited sequence of operational parameters for secondary axis modulation."
}
],
"z": [
{
"id": 0,
"label": "ZImageTurbo",
"localized": "Zero-Latency Image Turbo-Accelerator",
"reload": "",
"hint": "Engages the high-frequency temporal image processing sub-routine for accelerated visual synthesis."
},
{
"id": 1,
"label": "zimage",
"localized": "Zenith-Level Image Buffer",
"reload": "",
"hint": "Initializes the primary rasterized data container for multi-dimensional image propagation."
},
{
"id": 2,
"label": "ZeroStar init steps",
"localized": "ZeroStar Initial Spatiotemporal Quantization Steps",
"reload": "",
"hint": "Determines the quantity of initial phase-shift cycles required for ZeroStar manifold stabilization."
},
{
"id": 3,
"label": "Zero",
"localized": "Zero-Point Vector Field",
"reload": "",
"hint": "Activates the baseline vacuum-state latent space for zero-bias tensor operations."
},
{
"id": 4,
"label": "Z type",
"localized": "Z-Axis Parameterized Dimensionality",
"reload": "",
"hint": "Specifies the ontological classification of the tertiary depth-axis variable."
},
{
"id": 5,
"label": "Z values",
"localized": "Z-Axis Quantized Data-Points",
"reload": "",
"hint": "Separate values for Z axis using commas to define discrete coordinates within the tertiary latent manifold."
},
{
"id": 6,
"label": "Zoe Depth",
"localized": "Zoe-Class Volumetric Depth-Mapping",
"reload": "",
"hint": "Utilizes the Zoe neural heuristic to compute a monochromatic spatial depth-parallax map."
}
]
}