1580158
/
automatic
mirror of https://github.com/vladmandic/automatic
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
automatic/html/locale_tb.json

11074 lines
306 KiB
JSON
Raw Blame History

{
"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.<br><br>Scaling Factors:<br>- >1.0: Priorities structural global coherence via early denoising kernels.<br>- <1.0: Priorities high-frequency micro-details via late-stage denoising refinement.<br>- 1.0: Isometric balanced schedule.<br><br>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<br>Unified manifold interface<br>Supports T2I and I2I sub-routines<br>With optional heuristic control guidance"
},
{
"id": 1,
"label": "I2I",
"localized": "I2I",
"reload": "n/a",
"hint": "Synthesize image-space via antecedent visual tensors<br>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:<br><pre>seq, uuid<br>date, datetime, job_timestamp<br>generation_number, batch_number<br>model, model_shortname<br>model_hash, model_name<br>sampler, seed, steps, cfg<br>clip_skip, denoising<br>hasprompt, prompt, styles<br>prompt_hash, prompt_no_styles<br>prompt_spaces, prompt_words<br>height, width, image_hash<br></pre>"
},
{
"id": 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.<br>Essential for auditing the stochastic pathing of the inference engine.<br>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.<br>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.<br><br>Vision-capable nodes: <br>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.<br><br><b style=\"color: #ef4444\">Warning:</b> 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.<br><b>Fast</b>: Optimized captioning with low-latency token selection.<br><b>Classic</b>: Standardized analysis balancing throughput and fidelity.<br><b>Best</b>: Computational-heavy exhaustive analysis for maximum quality.<br><b>Negative</b>: 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:<br>- none: no resizing, keep original resolution<br>- fixed: force resize to target resolution (may distort)<br>- crop: center-crop to fit target while keeping aspect ratio<br>- fill: resize to fit and pad empty space with borders<br>- outpaint: extend canvas beyond image borders<br>- 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.<br>Like adding friction to revisiting previous choices. Helps break repetitive loops but may reduce coherence at aggressive values.<br><br>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.<br>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. <br>- default: internal model schedule<br>- karras: optimized noise decay for higher fidelity<br>- beta: beta-distribution based schedule<br>- exponential: logarithmic noise reduction<br>- lambdas: signal-to-noise ratio balancing<br>- 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<br>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:<br>- default: Standard model cadence<br>- leading: Isometric step distribution<br>- linspace: Boundary-inclusive linear distribution<br>- 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."
}
]
}
Reference in New Issue View Git Blame Copy Permalink