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model-list.json
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{
"models": [
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"name": "stabilityai/stable-diffusion-x4-upscaler",
"type": "checkpoints",
"base": "upscale",
"save_path": "checkpoints/upscale",
"description": "[3.53GB] 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"
},
{
"name": "Inswapper-fp16 (face swap)",
"type": "insightface",
"base" : "inswapper",
"save_path": "insightface",
"description": "[264MB] 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"
},
{
"name": "Inswapper (face swap)",
"type": "insightface",
"base" : "inswapper",
"save_path": "insightface",
"description": "[529MB] 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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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",
"url": "https://civitai.com/api/download/models/5637"
},
{
"name": "EasyNegative",
"type": "embeddings",
"base": "SD1.5",
"save_path": "default",
"description": "This embedding should be used in your NEGATIVE prompt. Adjust the strength as desired (seems to scale well without any distortions), the strength required may vary based on positive and negative prompts.",
"reference": "https://civitai.com/models/7808/easynegative",
"filename": "easynegative.safetensors",
"url": "https://civitai.com/api/download/models/9208"
},
{
"name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_b.safetensors",
"type": "checkpoints",
"base": "Stable Cascade",
"save_path": "checkpoints/Stable-Cascade",
"description": "[4.55GB] Stable Cascade stage_b checkpoints",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stable_cascade_stage_b.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_b.safetensors"
},
{
"name": "stabilityai/comfyui_checkpoints/stable_cascade_stage_c.safetensors",
"type": "checkpoints",
"base": "Stable Cascade",
"save_path": "checkpoints/Stable-Cascade",
"description": "[9.22GB] Stable Cascade stage_c checkpoints",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stable_cascade_stage_c.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/comfyui_checkpoints/stable_cascade_stage_c.safetensors"
},
{
"name": "stabilityai/Stable Cascade: stage_a.safetensors (VAE)",
"type": "VAE",
"base": "Stable Cascade",
"save_path": "vae/Stable-Cascade",
"description": "[73.7MB] Stable Cascade: stage_a",
"reference": "https://huggingface.co/stabilityai/stable-cascade",
"filename": "stage_a.safetensors",
"url": "https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_a.safetensors"
},
{
"name": "stabilityai/Stable Cascade: effnet_encoder.safetensors (VAE)",
"type": "VAE",
"base": "Stable Cascade",
"save_path": "vae/Stable-Cascade",
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},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"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"
},
{
"name": "T2I-Adapter XL (lineart)",
"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.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-lineart-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "T2I-Adapter XL (canny)",
"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.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-canny-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "T2I-Adapter XL (depth-zoe)",
"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.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-depth-zoe-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "T2I-Adapter XL (depth-midas)",
"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.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-depth-midas-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "T2I-Adapter XL (sketch)",
"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.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-sketch-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "T2I-Adapter XL (openpose)",
"type": "T2I-Adapter",
"base": "SDXL 1.0",
"save_path": "default",
"description": "ControlNet T2I-Adapter XL for openpose",
"reference": "https://huggingface.co/TencentARC/t2i-adapter-openpose-sdxl-1.0",
"filename": "t2i-adapter-openpose-sdxl-1.0.safetensors",
"url": "https://huggingface.co/TencentARC/t2i-adapter-openpose-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "CiaraRowles/TemporalNet2",
"type": "controlnet",
"base": "SD1.5",
"save_path": "default",
"description": "TemporalNet was a ControlNet model designed to enhance the temporal consistency of generated outputs",
"reference": "https://huggingface.co/CiaraRowles/TemporalNet2",
"filename": "temporalnetversion2.safetensors",
"url": "https://huggingface.co/CiaraRowles/TemporalNet2/resolve/main/temporalnetversion2.safetensors"
},
{
"name": "CiaraRowles/TemporalNet1XL (1.0)",
"type": "controlnet",
"base": "SD1.5",
"save_path": "controlnet/TemporalNet1XL",
"description": "This is TemporalNet1XL, it is a re-train of the controlnet TemporalNet1 with Stable Diffusion XL.",
"reference": "https://huggingface.co/CiaraRowles/controlnet-temporalnet-sdxl-1.0",
"filename": "diffusion_pytorch_model.safetensors",
"url": "https://huggingface.co/CiaraRowles/controlnet-temporalnet-sdxl-1.0/resolve/main/diffusion_pytorch_model.safetensors"
},
{
"name": "CLIPVision model (stabilityai/clip_vision_g)",
"type": "clip_vision",
"base": "vit-g",
"save_path": "clip_vision",
"description": "[3.69GB] clip_g vision model",
"reference": "https://huggingface.co/stabilityai/control-lora",
"filename": "clip_vision_g.safetensors",
"url": "https://huggingface.co/stabilityai/control-lora/resolve/main/revision/clip_vision_g.safetensors"
},
{
"name": "CLIPVision model (openai/clip-vit-large)",
"type": "clip_vision",
"base": "ViT-L",
"save_path": "clip_vision",
"description": "[1.7GB] CLIPVision model (needed for styles model)",
"reference": "https://huggingface.co/openai/clip-vit-large-patch14",
"filename": "clip-vit-large-patch14.bin",
"url": "https://huggingface.co/openai/clip-vit-large-patch14/resolve/main/model.safetensors"
},
{
"name": "CLIPVision model (IP-Adapter) CLIP-ViT-H-14-laion2B-s32B-b79K",
"type": "clip_vision",
"base": "ViT-H",
"save_path": "clip_vision",
"description": "[2.5GB] CLIPVision model (needed for IP-Adapter)",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors"
},
{
"name": "CLIPVision model (IP-Adapter) CLIP-ViT-bigG-14-laion2B-39B-b160k",
"type": "clip_vision",
"base": "ViT-G",
"save_path": "clip_vision",
"description": "[3.69GB] CLIPVision model (needed for IP-Adapter)",
"reference": "https://huggingface.co/h94/IP-Adapter",
"filename": "CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors",
"url": "https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors"
},
{
"name": "stabilityai/control-lora-canny-rank128.safetensors",
"type": "controlnet",