237 lines
12 KiB
JSON
237 lines
12 KiB
JSON
{
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"Dreambooth": "Dreambooth",
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"Load Settings": "Load Settings",
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"Save Settings": "Save Settings",
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"Generate Ckpt": "Generate Ckpt",
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"Save Weights": "Save Weights",
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"Generate Samples": "Generate Samples",
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"Cancel": "Cancel",
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"Select or create a model to begin.": "Select or create a model to begin.",
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"Model": "Model",
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"Select": "Select",
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"Create": "Create",
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"Snapshot to Resume": "Snapshot to Resume",
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"Lora Model": "Lora Model",
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"Loaded Model:": "Loaded Model:",
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"Model Revision:": "Model Revision:",
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"Model Epoch:": "Model Epoch:",
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"V2 Model:": "V2 Model:",
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"Has EMA:": "Has EMA:",
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"Source Checkpoint:": "Source Checkpoint:",
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"Create Model": "Create Model",
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"Create From Hub": "Create From Hub",
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"512x Model": "512x Model",
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"Model Path": "Model Path",
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"HuggingFace Token": "HuggingFace Token",
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"Source Checkpoint": "Source Checkpoint",
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"Extract EMA Weights": "Extract EMA Weights",
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"Unfreeze Model": "Unfreeze Model",
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"Input": "Input",
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"Concepts": "Concepts",
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"Saving": "Saving",
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"Testing": "Testing",
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"Performance Wizard (WIP)": "Performance Wizard (WIP)",
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"Basic": "Basic",
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"General": "General",
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"Use LORA": "Use LORA",
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"Use Lora Extended": "Use Lora Extended",
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"Train Imagic Only": "Train Imagic Only",
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"Train Inpainting Model": "Train Inpainting Model",
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"Generate Classification Images Using txt2img": "Generate Classification Images Using txt2img",
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"Intervals": "Intervals",
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"Training Steps Per Image (Epochs)": "Training Steps Per Image (Epochs)",
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"Pause After N Epochs": "Pause After N Epochs",
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"Amount of time to pause between Epochs (s)": "Amount of time to pause between Epochs (s)",
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"Save Model Frequency (Epochs)": "Save Model Frequency (Epochs)",
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"Save Preview(s) Frequency (Epochs)": "Save Preview(s) Frequency (Epochs)",
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"Batching": "Batching",
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"Batch Size": "Batch Size",
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"Gradient Accumulation Steps": "Gradient Accumulation Steps",
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"Class Batch Size": "Class Batch Size",
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"Set Gradients to None When Zeroing": "Set Gradients to None When Zeroing",
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"Gradient Checkpointing": "Gradient Checkpointing",
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"Learning Rate": "Learning Rate",
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"Learning Rate Scheduler": "Learning Rate Scheduler",
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"linear_with_warmup": "linear_with_warmup",
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"cosine": "cosine",
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"cosine_annealing": "cosine_annealing",
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"cosine_annealing_with_restarts": "cosine_annealing_with_restarts",
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"cosine_with_restarts": "cosine_with_restarts",
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"polynomial": "polynomial",
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"constant": "constant",
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"constant_with_warmup": "constant_with_warmup",
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"Min Learning Rate": "Min Learning Rate",
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"Number of Hard Resets": "Number of Hard Resets",
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"Constant/Linear Starting Factor": "Constant/Linear Starting Factor",
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"Polynomial Power": "Polynomial Power",
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"Scale Position": "Scale Position",
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"Lora UNET Learning Rate": "Lora UNET Learning Rate",
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"Lora Text Encoder Learning Rate": "Lora Text Encoder Learning Rate",
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"Learning Rate Warmup Steps": "Learning Rate Warmup Steps",
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"Image Processing": "Image Processing",
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"Max Resolution": "Max Resolution",
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"Apply Horizontal Flip": "Apply Horizontal Flip",
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"Sanity Sample Prompt": "Sanity Sample Prompt",
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"Sanity Sample Negative Prompt": "Sanity Sample Negative Prompt",
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"Sanity Sample Seed": "Sanity Sample Seed",
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"Miscellaneous": "Miscellaneous",
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"Pretrained VAE Name or Path": "Pretrained VAE Name or Path",
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"Use Concepts List": "Use Concepts List",
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"Concepts List": "Concepts List",
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"API Key": "API Key",
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"Discord Webhook": "Discord Webhook",
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"Save and Test Webhook": "Save and Test Webhook",
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"Advanced": "Advanced",
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"Tuning": "Tuning",
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"Use EMA": "Use EMA",
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"Optimizer": "Optimizer",
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"8Bit Adam": "8Bit Adam",
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"Lion": "Lion",
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"Mixed Precision": "Mixed Precision",
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"no": "no",
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"fp16": "fp16",
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"Memory Attention": "Memory Attention",
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"default": "default",
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"xformers": "xformers",
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"Cache Latents": "Cache Latents",
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"Train UNET": "Train UNET",
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"Step Ratio of Text Encoder Training": "Step Ratio of Text Encoder Training",
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"Offset Noise": "Offset Noise",
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"Freeze CLIP Normalization Layers": "Freeze CLIP Normalization Layers",
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"Clip Skip": "Clip Skip",
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"AdamW Weight Decay": "AdamW Weight Decay",
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"Pad Tokens": "Pad Tokens",
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"Strict Tokens": "Strict Tokens",
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"Shuffle Tags": "Shuffle Tags",
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"Max Token Length": "Max Token Length",
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"Prior Loss": "Prior Loss",
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"Scale Prior Loss": "Scale Prior Loss",
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"Prior Loss Weight": "Prior Loss Weight",
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"Prior Loss Target": "Prior Loss Target",
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"Minimum Prior Loss Weight": "Minimum Prior Loss Weight",
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"Training Wizard (Person)": "Training Wizard (Person)",
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"Training Wizard (Object/Style)": "Training Wizard (Object/Style)",
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"Concept 1": "Concept 1",
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"Concept 2": "Concept 2",
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"Concept 3": "Concept 3",
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"Concept 4": "Concept 4",
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"Directories": "Directories",
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"Dataset Directory": "Dataset Directory",
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"Classification Dataset Directory": "Classification Dataset Directory",
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"Filewords": "Filewords",
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"Instance Token": "Instance Token",
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"Class Token": "Class Token",
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"Prompts": "Prompts",
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"Instance Prompt": "Instance Prompt",
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"Class Prompt": "Class Prompt",
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"Sample Image Prompt": "Sample Image Prompt",
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"Classification Image Negative Prompt": "Classification Image Negative Prompt",
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"Sample Prompt Template File": "Sample Prompt Template File",
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"Sample Negative Prompt": "Sample Negative Prompt",
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"Image Generation": "Image Generation",
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"Class Images Per Instance Image": "Class Images Per Instance Image",
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"Classification CFG Scale": "Classification CFG Scale",
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"Classification Steps": "Classification Steps",
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"Number of Samples to Generate": "Number of Samples to Generate",
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"Sample Seed": "Sample Seed",
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"Sample CFG Scale": "Sample CFG Scale",
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"Sample Steps": "Sample Steps",
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"Custom Model Name": "Custom Model Name",
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"Save in .safetensors format": "Save in .safetensors format",
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"Save EMA Weights to Generated Models": "Save EMA Weights to Generated Models",
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"Use EMA Weights for Inference": "Use EMA Weights for Inference",
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"Checkpoints": "Checkpoints",
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"Half Model": "Half Model",
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"Save Checkpoint to Subdirectory": "Save Checkpoint to Subdirectory",
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"Generate a .ckpt file when saving during training.": "Generate a .ckpt file when saving during training.",
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"Generate a .ckpt file when training completes.": "Generate a .ckpt file when training completes.",
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"Generate a .ckpt file when training is canceled.": "Generate a .ckpt file when training is canceled.",
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"Lora UNET Rank": "Lora UNET Rank",
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"Lora Text Encoder Rank": "Lora Text Encoder Rank",
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"Lora Weight": "Lora Weight",
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"Lora Text Weight": "Lora Text Weight",
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"Generate lora weights when saving during training.": "Generate lora weights when saving during training.",
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"Generate lora weights when training completes.": "Generate lora weights when training completes.",
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"Generate lora weights when training is canceled.": "Generate lora weights when training is canceled.",
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"Generate lora weights for extra networks.": "Generate lora weights for extra networks.",
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"Diffusion Weights": "Diffusion Weights",
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"Save separate diffusers snapshots when saving during training.": "Save separate diffusers snapshots when saving during training.",
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"Save separate diffusers snapshots when training completes.": "Save separate diffusers snapshots when training completes.",
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"Save separate diffusers snapshots when training is canceled.": "Save separate diffusers snapshots when training is canceled.",
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"Generate Class Images": "Generate Class Images",
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"Generate Graph": "Generate Graph",
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"Graph Smoothing Steps": "Graph Smoothing Steps",
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"Debug Buckets": "Debug Buckets",
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"Epochs to Simulate": "Epochs to Simulate",
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"Batch Size to Simulate": "Batch Size to Simulate",
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"Generate Sample Images": "Generate Sample Images",
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"Sample Prompt": "Sample Prompt",
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"Sample Prompt File": "Sample Prompt File",
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"Sample Width": "Sample Width",
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"Sample Height": "Sample Height",
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"Sample Batch Size": "Sample Batch Size",
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"Scheduler": "Scheduler",
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"DDPM": "DDPM",
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"PNDM": "PNDM",
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"LMSDiscrete": "LMSDiscrete",
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"EulerDiscrete": "EulerDiscrete",
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"HeunDiscrete": "HeunDiscrete",
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"EulerAncestralDiscrete": "EulerAncestralDiscrete",
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"DPMSolverMultistep": "DPMSolverMultistep",
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"DPMSolverSinglestep": "DPMSolverSinglestep",
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"KDPM2Discrete": "KDPM2Discrete",
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"KDPM2AncestralDiscrete": "KDPM2AncestralDiscrete",
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"DEISMultistep": "DEISMultistep",
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"UniPCMultistep": "UniPCMultistep",
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"Swap Sample Faces": "Swap Sample Faces",
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"Swap Prompt": "Swap Prompt",
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"Swap Negative Prompt": "Swap Negative Prompt",
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"Swap Steps": "Swap Steps",
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"Swap Batch": "Swap Batch",
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"Use txt2img": "Use txt2img",
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"Deterministic": "Deterministic",
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"Use EMA for prediction.": "Use EMA for prediction.",
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"Calculate Split Loss": "Calculate Split Loss",
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"Use TensorFloat 32": "Use TensorFloat 32",
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"Use DEIS for noise scheduler": "Use DEIS for noise scheduler",
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"Update Extension and Restart": "Update Extension and Restart",
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"Bucket Cropping": "Bucket Cropping",
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"Source Path": "Source Path",
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"Dest Path": "Dest Path",
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"Max Res": "Max Res",
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"Bucket Steps": "Bucket Steps",
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"Dry Run": "Dry Run",
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"Start Cropping": "Start Cropping",
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"Output": "Output",
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"Checkbox": "Checkbox",
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"Image": "Image",
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"Check Progress": "Check Progress",
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"Update Parameters": "Update Parameters",
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"Changelog": "Changelog",
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"X": "X",
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"Release notes": "Release notes",
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"sd_dreambooth_extension": "sd_dreambooth_extension",
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"https://github.com/d8ahazard/sd_dreambooth_extension.git": "https://github.com/d8ahazard/sd_dreambooth_extension.git",
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"A generic prompt used to generate a sample image to verify model fidelity.": "A generic prompt used to generate a sample image to verify model fidelity.",
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"A negative prompt for the generic sample image.": "A negative prompt for the generic sample image.",
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"Leave blank to use base model VAE.": "Leave blank to use base model VAE.",
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"Path to JSON file with concepts to train.": "Path to JSON file with concepts to train.",
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"https://discord.com/api/webhooks/XXX/XXXX": "https://discord.com/api/webhooks/XXX/XXXX",
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"(Optional) Path to directory with classification/regularization images": "(Optional) Path to directory with classification/regularization images",
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"When using [filewords], this is the subject to use when building prompts.": "When using [filewords], this is the subject to use when building prompts.",
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"When using [filewords], this is the class to use when building prompts.": "When using [filewords], this is the class to use when building prompts.",
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"Optionally use [filewords] to read image captions from files.": "Optionally use [filewords] to read image captions from files.",
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"Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.": "Leave blank to use instance prompt. Optionally use [filewords] to base sample captions on instance images.",
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"Enter the path to a txt file containing sample prompts.": "Enter the path to a txt file containing sample prompts.",
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"Enter a model name for saving checkpoints and lora models.": "Enter a model name for saving checkpoints and lora models.",
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"Training Prompts": "Training Prompts",
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"Sample Prompts": "Sample Prompts",
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"Class Image Generation": "Class Image Generation",
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"Sample Image Generation": "Sample Image Generation",
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"Class Generation Schedulers": "Class Generation Schedulers",
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"Image Generation Library": "Image Generation Library",
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"Image Generation Scheduler": "Image Generation Scheduler",
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"Experimental Settings": "Experimental Settings",
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"Use EMA for prediction": "Use EMA for prediction"
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}
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