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model-list.json
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{
"models": [
{
"name": "TAESD3 Decoder",
"type": "TAESD",
"base": "SDXL",
"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": "SDXL",
"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": "checkpoints",
"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": "Inswapper-fp16 (face swap)",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface",
"description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
"reference": "https://github.com/facefusion/facefusion-assets",
"filename": "inswapper_128_fp16.onnx",
"url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128_fp16.onnx",
"size": "277.7MB"
},
{
"name": "Inswapper (face swap)",
"type": "insightface",
"base": "inswapper",
"save_path": "insightface",
"description": "Checkpoint of the insightface swapper model\n(used by ComfyUI-FaceSwap, comfyui-reactor-node, CharacterFaceSwap,\nComfyUI roop and comfy_mtb)",
"reference": "https://github.com/facefusion/facefusion-assets",
"filename": "inswapper_128.onnx",
"url": "https://github.com/facefusion/facefusion-assets/releases/download/models/inswapper_128.onnx",
"size": "555.3MB"
},
{
"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": "checkpoints",
"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": "checkpoints",
"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": "embeddings",
"base": "SD1.5",
"save_path": "default",
"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": "embeddings",
"base": "SD1.5",
"save_path": "default",
"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": "embeddings",
"base": "SD1.5",
"save_path": "default",
"description": "These embedding learn what disgusting compositions and color patterns are, including faulty human anatomy, offensive color schemes, upside-down spatial structures, and more. Placing it in the negative can go a long way to avoiding these things.",
"reference": "https://civitai.com/models/4629/deep-negative-v1x",
"filename": "ng_deepnegative_v1_75t.pt",
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{
"name": "Segmind-Vega",
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"save_path": "checkpoints/segmind-vega",
"description": "The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable 70% reduction in size and an impressive 100% speedup while retaining high-quality text-to-image generation capabilities.",
"reference": "https://huggingface.co/segmind/Segmind-Vega",
"filename": "segmind-vega.safetensors",
"url": "https://huggingface.co/segmind/Segmind-Vega/resolve/main/segmind-vega.safetensors",
"size": "3.29GB"
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{
"name": "Segmind-VegaRT - Latent Consistency Model (LCM) LoRA of Segmind-Vega",
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"reference": "https://huggingface.co/segmind/Segmind-VegaRT",
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{
"name": "Theovercomer8's Contrast Fix (SD2.1)",
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"save_path": "default",
"description": "LORA: Theovercomer8's Contrast Fix (SD2.1)",
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"filename": "theovercomer8sContrastFix_sd21768.safetensors",
"url": "https://civitai.com/api/download/models/10350",
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{
"name": "Theovercomer8's Contrast Fix (SD1.5)",
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"save_path": "default",
"description": "LORA: Theovercomer8's Contrast Fix (SD1.5)",
"reference": "https://civitai.com/models/8765/theovercomer8s-contrast-fix-sd15sd21-768",
"filename": "theovercomer8sContrastFix_sd15.safetensors",
"url": "https://civitai.com/api/download/models/10638",
"size": "113MB"
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{
"name": "T2I-Adapter (depth)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for depth",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_depth_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_depth_sd14v1.pth",
"size": "309.5MB"
},
{
"name": "T2I-Adapter (seg)",
"type": "T2I-Adapter",
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"save_path": "default",
"description": "ControlNet T2I-Adapter for seg",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_seg_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_seg_sd14v1.pth",
"size": "309.5MB"
},
{
"name": "T2I-Adapter (sketch)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for sketch",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_sketch_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_sketch_sd14v1.pth",
"size": "308.0MB"
},
{
"name": "T2I-Adapter (keypose)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for keypose",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_keypose_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_keypose_sd14v1.pth",
"size": "309.5MB"
},
{
"name": "T2I-Adapter (openpose)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for openpose",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_openpose_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_openpose_sd14v1.pth",
"size": "309.5MB"
},
{
"name": "T2I-Adapter (color)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for color",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_color_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_color_sd14v1.pth",
"size": "74.8MB"
},
{
"name": "T2I-Adapter (canny)",
"type": "T2I-Adapter",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter for canny",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_canny_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_canny_sd14v1.pth",
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},
{
"name": "T2I-Style model",
"type": "T2I-Style",
"base": "SD1.5",
"save_path": "default",
"description": "ControlNet T2I-Adapter style model. Need to download CLIPVision model.",
"reference": "https://huggingface.co/TencentARC/T2I-Adapter",
"filename": "t2iadapter_style_sd14v1.pth",
"url": "https://huggingface.co/TencentARC/T2I-Adapter/resolve/main/models/t2iadapter_style_sd14v1.pth",
"size": "154.4MB"
},
{
"name": "T2I-Adapter XL (lineart) FP16",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for lineart",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-lineart-sdxl-1.0",
"filename": "t2i-adapter-lineart-sdxl-1.0.fp16.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-lineart-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors",
"size": "158.1MB"
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{
"name": "T2I-Adapter XL (canny) FP16",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for canny",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-canny-sdxl-1.0",
"filename": "t2i-adapter-canny-sdxl-1.0.fp16.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-canny-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors",
"size": "158.1MB"
},
{
"name": "T2I-Adapter XL (depth-zoe) FP16",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for depth-zoe",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-depth-zoe-sdxl-1.0",
"filename": "t2i-adapter-depth-zoe-sdxl-1.0.fp16.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-depth-zoe-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors",
"size": "158.1MB"
},
{
"name": "T2I-Adapter XL (depth-midas) FP16",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for depth-midas",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-depth-midas-sdxl-1.0",
"filename": "t2i-adapter-depth-midas-sdxl-1.0.fp16.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-depth-midas-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors",
"size": "158.1MB"
},
{
"name": "T2I-Adapter XL (sketch) FP16",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for sketch",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-sketch-sdxl-1.0",
"filename": "t2i-adapter-sketch-sdxl-1.0.fp16.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-sketch-sdxl-1.0/resolve/main/diffusion_pytorch_model.fp16.safetensors",
"size": "158.1MB"
},
{
"name": "T2I-Adapter XL (lineart)",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for lineart",