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model-list.json
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{
"models": [
{
"name": "TAEF1 Decoder",
"type": "TAESD",
"base": "FLUX.1",
"save_path": "vae_approx",
"description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taef1_decoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taef1_decoder.pth",
"size": "4.71MB"
},
{
"name": "TAEF1 Encoder",
"type": "TAESD",
"base": "FLUX.1",
"save_path": "vae_approx",
"description": "(FLUX.1 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taef1_encoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taef1_encoder.pth",
"size": "4.71MB"
},
{
"name": "TAESD3 Decoder",
"type": "TAESD",
"base": "SD3",
"save_path": "vae_approx",
"description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesd3_decoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesd3_decoder.pth",
"size": "4.94MB"
},
{
"name": "TAESD3 Encoder",
"type": "TAESD",
"base": "SD3",
"save_path": "vae_approx",
"description": "(SD3 Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesd3_encoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesd3_encoder.pth",
"size": "4.94MB"
},
{
"name": "TAESDXL Decoder",
"type": "TAESD",
"base": "SDXL",
"save_path": "vae_approx",
"description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesdxl_decoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_decoder.pth",
"size": "4.91MB"
},
{
"name": "TAESDXL Encoder",
"type": "TAESD",
"base": "SDXL",
"save_path": "vae_approx",
"description": "(SDXL Verison) To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesdxl_encoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesdxl_encoder.pth",
"size": "4.91MB"
},
{
"name": "TAESD Decoder",
"type": "TAESD",
"base": "SD1.x",
"save_path": "vae_approx",
"description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesd_decoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesd_decoder.pth",
"size": "4.91MB"
},
{
"name": "TAESD Encoder",
"type": "TAESD",
"base": "SD1.x",
"save_path": "vae_approx",
"description": "To view the preview in high quality while running samples in ComfyUI, you will need this model.",
"reference": "https://github.com/madebyollin/taesd",
"filename": "taesd_encoder.pth",
"url": "https://github.com/madebyollin/taesd/raw/main/taesd_encoder.pth",
"size": "4.91MB"
},
{
"name": "RealESRGAN x2",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "RealESRGAN x2 upscaler model",
"reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
"filename": "RealESRGAN_x2.pth",
"url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x2.pth",
"size": "67.1MB"
},
{
"name": "RealESRGAN x4",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "RealESRGAN x4 upscaler model",
"reference": "https://huggingface.co/ai-forever/Real-ESRGAN",
"filename": "RealESRGAN_x4.pth",
"url": "https://huggingface.co/ai-forever/Real-ESRGAN/resolve/main/RealESRGAN_x4.pth",
"size": "67.0MB"
},
{
"name": "ESRGAN x4",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "ESRGAN x4 upscaler model",
"reference": "https://huggingface.co/Afizi/ESRGAN_4x.pth",
"filename": "ESRGAN_4x.pth",
"url": "https://huggingface.co/Afizi/ESRGAN_4x.pth/resolve/main/ESRGAN_4x.pth",
"size": "66.9MB"
},
{
"name": "4x_foolhardy_Remacri",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "4x_foolhardy_Remacri upscaler model",
"reference": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri",
"filename": "4x_foolhardy_Remacri.pth",
"url": "https://huggingface.co/FacehugmanIII/4x_foolhardy_Remacri/resolve/main/4x_foolhardy_Remacri.pth",
"size": "67.0MB"
},
{
"name": "4x-AnimeSharp",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "4x-AnimeSharp upscaler model",
"reference": "https://huggingface.co/Kim2091/AnimeSharp/",
"filename": "4x-AnimeSharp.pth",
"url": "https://huggingface.co/Kim2091/AnimeSharp/resolve/main/4x-AnimeSharp.pth",
"size": "67.0MB"
},
{
"name": "4x-UltraSharp",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "4x-UltraSharp upscaler model",
"reference": "https://huggingface.co/Kim2091/UltraSharp/",
"filename": "4x-UltraSharp.pth",
"url": "https://huggingface.co/Kim2091/UltraSharp/resolve/main/4x-UltraSharp.pth",
"size": "67.0MB"
},
{
"name": "4x_NMKD-Siax_200k",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "4x_NMKD-Siax_200k upscaler model",
"reference": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k",
"filename": "4x_NMKD-Siax_200k.pth",
"url": "https://huggingface.co/gemasai/4x_NMKD-Siax_200k/resolve/main/4x_NMKD-Siax_200k.pth",
"size": "67.0MB"
},
{
"name": "8x_NMKD-Superscale_150000_G",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "8x_NMKD-Superscale_150000_G upscaler model",
"reference": "https://huggingface.co/uwg/upscaler",
"filename": "8x_NMKD-Superscale_150000_G.pth",
"url": "https://huggingface.co/uwg/upscaler/resolve/main/ESRGAN/8x_NMKD-Superscale_150000_G.pth",
"size": "67.1MB"
},
{
"name": "8x_NMKD-Faces_160000_G",
"type": "upscale",
"base": "upscale",
"save_path": "default",
"description": "8x_NMKD-Faces_160000_G upscaler model",
"reference": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/tree/main",
"filename": "8x_NMKD-Faces_160000_G.pth",
"url": "https://huggingface.co/gemasai/8x_NMKD-Faces_160000_G/resolve/main/8x_NMKD-Faces_160000_G.pth",
"size": "67.2MB"
},
{
"name": "LDSR(Latent Diffusion Super Resolution)",
"type": "upscale",
"base": "upscale",
"save_path": "upscale_models/ldsr",
"description": "LDSR upscale model. Through the [a/ComfyUI-Flowty-LDSR](https://github.com/flowtyone/ComfyUI-Flowty-LDSR) extension, the upscale model can be utilized.",
"reference": "https://github.com/CompVis/latent-diffusion",
"filename": "last.ckpt",
"url": "https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1",
"size": "2.04GB"
},
{
"name": "stabilityai/stable-diffusion-x4-upscaler",
"type": "checkpoint",
"base": "upscale",
"save_path": "checkpoints/upscale",
"description": "This upscaling model is a latent text-guided diffusion model and should be used with SD_4XUpscale_Conditioning and KSampler.",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler",
"filename": "x4-upscaler-ema.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-x4-upscaler/resolve/main/x4-upscaler-ema.safetensors",
"size": "3.53GB"
},
{
"name": "Deepbump",
"type": "deepbump",
"base": "deepbump",
"save_path": "deepbump",
"description": "Checkpoint of the deepbump model to generate height and normal maps textures from an image (requires comfy_mtb)",
"reference": "https://github.com/HugoTini/DeepBump",
"filename": "deepbump256.onnx",
"url": "https://github.com/HugoTini/DeepBump/raw/master/deepbump256.onnx",
"size": "26.7MB"
},
{
"name": "GFPGAN 1.3",
"type": "face_restore",
"base": "face_restore",
"save_path": "face_restore",
"description": "Face restoration",
"reference": "https://github.com/TencentARC/GFPGAN",
"filename": "GFPGANv1.3.pth",
"url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth",
"size": "348.6MB"
},
{
"name": "GFPGAN 1.4",
"type": "face_restore",
"base": "face_restore",
"save_path": "face_restore",
"description": "Face restoration",
"reference": "https://github.com/TencentARC/GFPGAN",
"filename": "GFPGANv1.4.pth",
"url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth",
"size": "348.6MB"
},
{
"name": "RestoreFormer",
"type": "face_restore",
"base": "face_restore",
"save_path": "face_restore",
"description": "Face restoration",
"reference": "https://github.com/TencentARC/GFPGAN",
"filename": "RestoreFormer.pth",
"url": "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/RestoreFormer.pth",
"size": "290.8MB"
},
{
"name": "Stable Video Diffusion Image-to-Video",
"type": "checkpoint",
"base": "SVD",
"save_path": "checkpoints/SVD",
"description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 14 frames @ 576x1024",
"reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid",
"filename": "svd.safetensors",
"url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid/resolve/main/svd.safetensors",
"size": "9.56GB"
},
{
"name": "stabilityai/Stable Zero123",
"type": "zero123",
"base": "zero123",
"save_path": "checkpoints/zero123",
"description": "Stable Zero123 is a model for view-conditioned image generation based on [a/Zero123](https://github.com/cvlab-columbia/zero123).",
"reference": "https://huggingface.co/stabilityai/stable-zero123",
"filename": "stable_zero123.ckpt",
"url": "https://huggingface.co/stabilityai/stable-zero123/resolve/main/stable_zero123.ckpt",
"size": "8.58GB"
},
{
"name": "Stable Video Diffusion Image-to-Video (XT)",
"type": "checkpoint",
"base": "SVD",
"save_path": "checkpoints/SVD",
"description": "Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it.\nNOTE: 25 frames @ 576x1024 ",
"reference": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt",
"filename": "svd_xt.safetensors",
"url": "https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/resolve/main/svd_xt.safetensors",
"size": "9.56GB"
},
{
"name": "negative_hand Negative Embedding",
"type": "embedding",
"base": "SD1.5",
"save_path": "embeddings/SD1.5",
"description": "If you use this embedding with negatives, you can solve the issue of damaging your hands.",
"reference": "https://civitai.com/models/56519/negativehand-negative-embedding",
"filename": "negative_hand-neg.pt",
"url": "https://civitai.com/api/download/models/60938",
"size": "25KB"
},
{
"name": "bad_prompt Negative Embedding",
"type": "embedding",
"base": "SD1.5",
"save_path": "embeddings/SD1.5",
"description": "The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.",
"reference": "https://civitai.com/models/55700/badprompt-negative-embedding",
"filename": "bad_prompt_version2-neg.pt",
"url": "https://civitai.com/api/download/models/60095",
"size": "25KB"
},
{
"name": "Deep Negative V1.75",
"type": "embedding",
"base": "SD1.5",
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