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{
"models": [
{
"name": "comfyanonymous/cosmos_cv8x8x8_1.0.safetensors",
"type": "VAE",
"base": "Cosmos-1.0",
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"description": "VAE model for Cosmos 1.0",
"reference": "https://huggingface.co/comfyanonymous/cosmos_1.0_text_encoder_and_VAE_ComfyUI/tree/main",
"filename": "cosmos_cv8x8x8_1.0.safetensors",
"url": "https://huggingface.co/comfyanonymous/cosmos_1.0_text_encoder_and_VAE_ComfyUI/resolve/main/vae/cosmos_cv8x8x8_1.0.safetensors",
"size": "211MB"
},
{
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"description": "Cosmos 1.0 Text2World Diffusion Model (7B)",
"reference": "https://huggingface.co/mcmonkey/cosmos-1.0",
"filename": "Cosmos-1_0-Diffusion-7B-Text2World.safetensors",
"url": "https://huggingface.co/mcmonkey/cosmos-1.0/resolve/main/Cosmos-1_0-Diffusion-7B-Text2World.safetensors",
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{
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"filename": "Cosmos-1_0-Diffusion-7B-Video2World.safetensors",
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{
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"description": "Cosmos 1.0 Text2World Diffusion Model (14B)",
"reference": "https://huggingface.co/mcmonkey/cosmos-1.0",
"filename": "Cosmos-1_0-Diffusion-14B-Text2World.safetensors",
"url": "https://huggingface.co/mcmonkey/cosmos-1.0/resolve/main/Cosmos-1_0-Diffusion-14B-Text2World.safetensors",
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{
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"description": "Cosmos 1.0 Video2World Diffusion Model (14B)",
"reference": "https://huggingface.co/mcmonkey/cosmos-1.0",
"filename": "Cosmos-1_0-Diffusion-14B-Video2World.safetensors",
"url": "https://huggingface.co/mcmonkey/cosmos-1.0/resolve/main/Cosmos-1_0-Diffusion-14B-Video2World.safetensors",
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{
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"description": "llava_llama3_fp8_scaled text encoder model. This is required for using Hunyuan Video.",
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"filename": "llava_llama3_fp8_scaled.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/text_encoders/llava_llama3_fp8_scaled.safetensors",
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"description": "llava_llama3_fp16 text encoder model. This is required for using Hunyuan Video.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "llava_llama3_fp16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/text_encoders/llava_llama3_fp16.safetensors",
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{
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"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS",
"filename": "PixArt-Sigma-XL-2-512-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-512-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
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{
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"base": "pixart-sigma",
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"description": "PixArt-Sigma Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS",
"filename": "PixArt-Sigma-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-Sigma-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
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},
{
"name": "PixArt-XL-2-1024-MS.safetensors (diffusion)",
"type": "diffusion_model",
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"description": "PixArt-Alpha Diffusion model",
"reference": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS",
"filename": "PixArt-XL-2-1024-MS.safetensors",
"url": "https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/resolve/main/transformer/diffusion_pytorch_model.safetensors",
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},
{
"name": "Comfy-Org/hunyuan_video_t2v_720p_bf16.safetensors",
"type": "diffusion_model",
"base": "Hunyuan Video",
"save_path": "diffusion_models/hunyuan_video",
"description": "Huyuan Video diffusion model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_t2v_720p_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/diffusion_models/hunyuan_video_t2v_720p_bf16.safetensors",
"size": "25.6GB"
},
{
"name": "Comfy-Org/hunyuan_video_vae_bf16.safetensors",
"type": "VAE",
"base": "Hunyuan Video",
"save_path": "VAE",
"description": "Huyuan Video VAE model. repackaged version.",
"reference": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged",
"filename": "hunyuan_video_vae_bf16.safetensors",
"url": "https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/vae/hunyuan_video_vae_bf16.safetensors",
"size": "493MB"
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{
"name": "LTX-Video 2B v0.9.1 Checkpoint",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 24 FPS videos at a 768x512 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltx-video-2b-v0.9.1.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltx-video-2b-v0.9.1.safetensors",
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{
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"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-canny-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-canny-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-depth-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-depth-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-depth-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/flux-hed-controlnet-v3.safetensors",
"type": "controlnet",
"base": "FLUX.1",
"save_path": "xlabs/controlnets",
"description": "ControlNet checkpoints for FLUX.1-dev model by Black Forest Labs.",
"reference": "https://huggingface.co/XLabs-AI/flux-controlnet-collections",
"filename": "flux-hed-controlnet-v3.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-controlnet-collections/resolve/main/flux-hed-controlnet-v3.safetensors",
"size": "1.49GB"
},
{
"name": "XLabs-AI/realism_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "realism_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/realism_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/art_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "art_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/scenery_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/mjv6_lora.safetensors",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/loras",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-lora-collection",
"filename": "mjv6_lora.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-lora-collection/resolve/main/mjv6_lora.safetensors",
"size": "44.8MB"
},
{
"name": "XLabs-AI/flux-ip-adapter",
"type": "lora",
"base": "FLUX.1",
"save_path": "xlabs/ipadapters",
"description": "A checkpoint with trained LoRAs for FLUX.1-dev model by Black Forest Labs",
"reference": "https://huggingface.co/XLabs-AI/flux-ip-adapter",
"filename": "ip_adapter.safetensors",
"url": "https://huggingface.co/XLabs-AI/flux-ip-adapter/resolve/main/ip_adapter.safetensors",
"size": "982MB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Blur",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Blur Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_blur.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_blur.safetensors",
"size": "8.65GB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Canny",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Canny Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_canny.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_canny.safetensors",
"size": "8.65GB"
},
{
"name": "stabilityai/SD3.5-Large-Controlnet-Depth",
"type": "controlnet",
"base": "SD3.5",
"save_path": "controlnet/SD3.5",
"description": "Depth Controlnet model for SD3.5 Large",
"reference": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets",
"filename": "sd3.5_large_controlnet_depth.safetensors",
"url": "https://huggingface.co/stabilityai/stable-diffusion-3.5-controlnets/resolve/main/sd3.5_large_controlnet_depth.safetensors",
"size": "8.65GB"
},
{
"name": "LTX-Video 2B v0.9 Checkpoint",
"type": "checkpoint",
"base": "LTX-Video",
"save_path": "checkpoints/LTXV",
"description": "LTX-Video is the first DiT-based video generation model capable of generating high-quality videos in real-time. It produces 24 FPS videos at a 768x512 resolution faster than they can be watched. Trained on a large-scale dataset of diverse videos, the model generates high-resolution videos with realistic and varied content.",
"reference": "https://huggingface.co/Lightricks/LTX-Video",
"filename": "ltx-video-2b-v0.9.safetensors",
"url": "https://huggingface.co/Lightricks/LTX-Video/resolve/main/ltx-video-2b-v0.9.safetensors",
"size": "9.37GB"
},
{
"name": "InstantX/FLUX.1-dev-IP-Adapter",
"type": "IP-Adapter",
"base": "FLUX.1",
"save_path": "ipadapter-flux",
"description": "FLUX.1-dev-IP-Adapter",
"reference": "https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter",
"filename": "ip-adapter.bin",
"url": "https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter/resolve/main/ip-adapter.bin",
"size": "5.29GB"
},
{
"name": "Comfy-Org/sigclip_vision_384 (patch14_384)",
"type": "clip_vision",
"base": "sigclip",
"save_path": "clip_vision",
"description": "This clip vision model is required for FLUX.1 Redux.",
"reference": "https://huggingface.co/Comfy-Org/sigclip_vision_384/tree/main",
"filename": "sigclip_vision_patch14_384.safetensors",
"url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors",
"size": "857MB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp16)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp16)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp16.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors",
"size": "9.79GB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp8_e4m3fn)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp8_e4m3fn)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp8_e4m3fn.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors",
"size": "4.89GB"
},
{
"name": "comfyanonymous/flux_text_encoders - t5xxl (fp8_e4m3fn_scaled)",
"type": "clip",
"base": "t5",
"save_path": "text_encoders/t5",
"description": "Text Encoders for FLUX (fp16)",
"reference": "https://huggingface.co/comfyanonymous/flux_text_encoders",
"filename": "t5xxl_fp8_e4m3fn_scaled.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors",
"size": "5.16GB"
},
{
"name": "FLUX.1 [Dev] Diffusion model (scaled fp8)",
"type": "diffusion_model",
"base": "FLUX.1",
"save_path": "diffusion_models/FLUX1",
"description": "FLUX.1 [Dev] Diffusion model (scaled fp8)[w/Due to the large size of the model, it is recommended to download it through a browser if possible.]",
"reference": "https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test",
"filename": "flux_dev_fp8_scaled_diffusion_model.safetensors",
"url": "https://huggingface.co/comfyanonymous/flux_dev_scaled_fp8_test/resolve/main/flux_dev_fp8_scaled_diffusion_model.safetensors",
"size": "11.9GB"
},
{
"name": "kijai/MoGe_ViT_L_fp16.safetensors",
"type": "MoGe",
"base": "MoGe",
"save_path": "MoGe",
"description": "Safetensors versions of [a/https://github.com/microsoft/MoGe](https://github.com/microsoft/MoGe)",
"reference": "https://huggingface.co/Kijai/MoGe_safetensors",
"filename": "MoGe_ViT_L_fp16.safetensors",
"url": "https://huggingface.co/Kijai/MoGe_safetensors/resolve/main/MoGe_ViT_L_fp16.safetensors",
"size": "628MB"
},
{
"name": "kijai/MoGe_ViT_L_fp16.safetensors",
"type": "MoGe",
"base": "MoGe",
"save_path": "MoGe",
"description": "Safetensors versions of [a/https://github.com/microsoft/MoGe](https://github.com/microsoft/MoGe)",
"reference": "https://huggingface.co/Kijai/MoGe_safetensors",
"filename": "MoGe_ViT_L_fp16.safetensors",
"url": "https://huggingface.co/Kijai/MoGe_safetensors/resolve/main/MoGe_ViT_L_fp16.safetensors",
"size": "1.26GB"
},
{
"name": "pulid_flux_v0.9.1.safetensors",
"type": "PuLID",
"base": "FLUX",
"save_path": "pulid",
"description": "This is required for PuLID (FLUX)",
"reference": "https://huggingface.co/guozinan/PuLID",
"filename": "pulid_flux_v0.9.1.safetensors",
"url": "https://huggingface.co/guozinan/PuLID/resolve/main/pulid_flux_v0.9.1.safetensors",
"size": "1.14GB"
},
{
"name": "pulid_v1.1.safetensors",
"type": "PuLID",
"base": "SDXL",
"save_path": "pulid",
"description": "This is required for PuLID (SDXL)",
"reference": "https://huggingface.co/guozinan/PuLID",
"filename": "pulid_v1.1.safetensors",
"url": "https://huggingface.co/guozinan/PuLID/resolve/main/pulid_v1.1.safetensors",
"size": "984MB"
},
{
"name": "Kolors-IP-Adapter-Plus.bin (Kwai-Kolors/Kolors-IP-Adapter-Plus)",
"type": "IP-Adapter",
"base": "Kolors",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus",
"filename": "Kolors-IP-Adapter-Plus.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus/resolve/main/ip_adapter_plus_general.bin",
"size": "1.01GB"
},
{
"name": "Kolors-IP-Adapter-FaceID-Plus.bin (Kwai-Kolors/Kolors-IP-Adapter-Plus)",
"type": "IP-Adapter",
"base": "Kolors",
"save_path": "ipadapter",
"description": "You can use this model in the [a/ComfyUI IPAdapter plus](https://github.com/cubiq/ComfyUI_IPAdapter_plus) extension.",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus",
"filename": "Kolors-IP-Adapter-FaceID-Plus.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-FaceID-Plus/resolve/main/ipa-faceid-plus.bin",
"size": "2.39GB"
},
{
"name": "CLIPVision model (Kwai-Kolors/Kolors-IP-Adapter-Plus/clip-vit-large)",
"type": "clip_vision",
"base": "ViT-L",
"save_path": "clip_vision",
"description": "CLIPVision model (This is required in cubiq/ComfyUI_IPAdapter_plus)",
"reference": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus",
"filename": "clip-vit-large-patch14-336.bin",
"url": "https://huggingface.co/Kwai-Kolors/Kolors-IP-Adapter-Plus/resolve/main/image_encoder/pytorch_model.bin",
"size": "1.71GB"
},
{
"name": "kijai/lotus depth d model v1.1 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus depth d model v1.1 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-depth-d-v-1-1-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-depth-d-v-1-1-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus depth g model v1.0 (fp16)",
"type": "diffusion_model",
"base": "lotus",
"save_path": "diffusion_models",
"description": "lotus depth g model v1.0 (fp16). This model can be used in ComfyUI-Lotus custom nodes.",
"reference": "https://huggingface.co/Kijai/lotus-comfyui",
"filename": "lotus-depth-g-v1-0-fp16.safetensors",
"url": "https://huggingface.co/Kijai/lotus-comfyui/resolve/main/lotus-depth-g-v1-0-fp16.safetensors",
"size": "1.74GB"
},
{
"name": "kijai/lotus depth g model v1.0",
"type": "diffusion_model",
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