diff --git a/arty.yml b/arty.yml index 32d5162..0dd627d 100644 --- a/arty.yml +++ b/arty.yml @@ -78,6 +78,21 @@ references: description: "Ultimate SD Upscale for high-quality image upscaling" essential: false + - url: https://github.com/kijai/ComfyUI-KJNodes.git + into: $COMFYUI_ROOT/custom_nodes/ComfyUI-KJNodes + description: "Kijai optimizations for HunyuanVideo and Wan2.2 (FP8 scaling, video helpers, model loading)" + essential: true + + - url: https://github.com/Fannovel16/comfyui_controlnet_aux.git + into: $COMFYUI_ROOT/custom_nodes/comfyui_controlnet_aux + description: "ControlNet preprocessors (Canny, Depth, OpenPose, MLSD) for Wan2.2 Fun Control" + essential: true + + - url: https://github.com/city96/ComfyUI-GGUF.git + into: $COMFYUI_ROOT/custom_nodes/ComfyUI-GGUF + description: "GGUF quantization support for memory-efficient model loading" + essential: false + # Environment profiles for selective repository management envs: # RunPod environment variables diff --git a/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v1-robot.webp b/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v1-robot.webp new file mode 100644 index 0000000..eda9b81 Binary files /dev/null and b/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v1-robot.webp differ diff --git a/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v2-fennec.webp b/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v2-fennec.webp new file mode 100644 index 0000000..670e26b Binary files /dev/null and b/comfyui/workflows/image-to-video/i2v_hunyuan-i2v-v2-fennec.webp differ diff --git a/comfyui/workflows/image-to-video/i2v_hunyuan-t2v-kitchen.webp b/comfyui/workflows/image-to-video/i2v_hunyuan-t2v-kitchen.webp new file mode 100644 index 0000000..348eee8 Binary files /dev/null and b/comfyui/workflows/image-to-video/i2v_hunyuan-t2v-kitchen.webp differ diff --git a/comfyui/workflows/image-to-video/i2v_hunyuan15-i2v-720p.json b/comfyui/workflows/image-to-video/i2v_hunyuan15-i2v-720p.json new file mode 100644 index 0000000..248b036 --- /dev/null +++ b/comfyui/workflows/image-to-video/i2v_hunyuan15-i2v-720p.json @@ -0,0 +1,2528 @@ +{ + "id": "ecc20583-98c5-4707-83f4-631b49a2bf0b", + "revision": 0, + "last_node_id": 141, + "last_link_id": 343, + "nodes": [ + { + "id": 81, + "type": "CLIPVisionLoader", + "pos": [ + -620, + 450 + ], + "size": [ + 350, + 58 + ], + "flags": {}, + "order": 0, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP_VISION", + "type": "CLIP_VISION", + "links": [ + 225 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPVisionLoader", + "models": [ + { + "name": "sigclip_vision_patch14_384.safetensors", + "url": "https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors", + "directory": "clip_vision" + } + ] + }, + "widgets_values": [ + "sigclip_vision_patch14_384.safetensors" + ] + }, + { + "id": 11, + "type": "DualCLIPLoader", + "pos": [ + -620, + 180 + ], + "size": [ + 350, + 130 + ], + "flags": {}, + "order": 1, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "slot_index": 0, + "links": [ + 205, + 240 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "DualCLIPLoader", + "models": [ + { + "name": "qwen_2.5_vl_7b_fp8_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors", + "directory": "text_encoders" + }, + { + "name": "byt5_small_glyphxl_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors", + "directory": "text_encoders" + } + ] + }, + "widgets_values": [ + "qwen_2.5_vl_7b_fp8_scaled.safetensors", + "byt5_small_glyphxl_fp16.safetensors", + "hunyuan_video_15", + "default" + ] + }, + { + "id": 108, + "type": "LatentUpscaleModelLoader", + "pos": [ + -620, + 1670 + ], + "size": [ + 470, + 70 + ], + "flags": {}, + "order": 2, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "LATENT_UPSCALE_MODEL", + "type": "LATENT_UPSCALE_MODEL", + "links": [ + 274 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "LatentUpscaleModelLoader", + "models": [ + { + "name": "hunyuanvideo15_latent_upsampler_1080p.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors", + "directory": "latent_upscale_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo15_latent_upsampler_1080p.safetensors" + ] + }, + { + "id": 111, + "type": "UNETLoader", + "pos": [ + -620, + 1540 + ], + "size": [ + 470, + 82 + ], + "flags": {}, + "order": 3, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 286 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "default" + ] + }, + { + "id": 101, + "type": "CreateVideo", + "pos": [ + 640, + 60 + ], + "size": [ + 270, + 78 + ], + "flags": {}, + "order": 35, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 308 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 269 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CreateVideo" + }, + "widgets_values": [ + 24 + ] + }, + { + "id": 79, + "type": "CLIPVisionEncode", + "pos": [ + -610, + 960 + ], + "size": [ + 290.390625, + 78 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [ + { + "name": "clip_vision", + "type": "CLIP_VISION", + "link": 225 + }, + { + "name": "image", + "type": "IMAGE", + "link": 219 + } + ], + "outputs": [ + { + "name": "CLIP_VISION_OUTPUT", + "type": "CLIP_VISION_OUTPUT", + "links": [ + 217, + 299 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPVisionEncode" + }, + "widgets_values": [ + "center" + ] + }, + { + "id": 113, + "type": "HunyuanVideo15SuperResolution", + "pos": [ + -570, + 2210 + ], + "size": [ + 370, + 170 + ], + "flags": {}, + "order": 36, + "mode": 4, + "inputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "link": 295 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 296 + }, + { + "name": "latent", + "type": "LATENT", + "link": 280 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": 301 + }, + { + "name": "start_image", + "shape": 7, + "type": "IMAGE", + "link": 300 + }, + { + "name": "clip_vision_output", + "shape": 7, + "type": "CLIP_VISION_OUTPUT", + "link": 299 + } + ], + "outputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "links": [ + 330 + ] + }, + { + "name": "negative", + "type": "CONDITIONING", + "links": [ + 331 + ] + }, + { + "name": "latent", + "type": "LATENT", + "links": [ + 327 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "HunyuanVideo15SuperResolution" + }, + "widgets_values": [ + 0.7 + ] + }, + { + "id": 93, + "type": "CLIPTextEncode", + "pos": [ + -220, + 260 + ], + "size": [ + 422.84503173828125, + 200 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 240 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 246, + 296, + 342 + ] + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 114, + "type": "CreateVideo", + "pos": [ + 900, + 1710 + ], + "size": [ + 270, + 80 + ], + "flags": {}, + "order": 43, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 309 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 292 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CreateVideo" + }, + "widgets_values": [ + 24 + ] + }, + { + "id": 10, + "type": "VAELoader", + "pos": [ + -620, + 350 + ], + "size": [ + 350, + 60 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 206, + 224, + 290, + 301, + 306, + 307 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "VAELoader", + "models": [ + { + "name": "hunyuanvideo15_vae_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors", + "directory": "vae" + } + ] + }, + "widgets_values": [ + "hunyuanvideo15_vae_fp16.safetensors" + ] + }, + { + "id": 104, + "type": "MarkdownNote", + "pos": [ + -1220, + 10 + ], + "size": [ + 560, + 520 + ], + "flags": { + "collapsed": false + }, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model links", + "properties": {}, + "widgets_values": [ + "\n\n## Report issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n\n## Model links\n\n[HunyuanVideo_1.5_repackaged](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/tree/main/split_files)\n\n**text_encoders**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n- [byt5_small_glyphxl_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors)\n\n**clip_vision**\n\n- [sigclip_vision_patch14_384.safetensors](https://huggingface.co/Comfy-Org/sigclip_vision_384/resolve/main/sigclip_vision_patch14_384.safetensors)\n\n**diffusion_models**\n\n- [hunyuanvideo1.5_720p_i2v_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_i2v_fp16.safetensors)\n\n**vae**\n\n- [hunyuanvideo15_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors)\n\n\nModel Storage Location\n\n```\n๐Ÿ“‚ ComfyUI/\nโ”œโ”€โ”€ ๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ”œโ”€โ”€ qwen_2.5_vl_7b_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€ byt5_small_glyphxl_fp16.safetensors\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ clip_vision/\nโ”‚ โ”‚ โ””โ”€โ”€ sigclip_vision_patch14_384.safetensors\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ””โ”€โ”€ hunyuanvideo1.5_720p_i2v_fp16.safetensors\nโ”‚ โ””โ”€โ”€ ๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ hunyuanvideo15_vae_fp16.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 78, + "type": "HunyuanVideo15ImageToVideo", + "pos": [ + -160, + 580 + ], + "size": [ + 296.3169921875, + 210 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "link": 222 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 246 + }, + { + "name": "vae", + "type": "VAE", + "link": 224 + }, + { + "name": "start_image", + "shape": 7, + "type": "IMAGE", + "link": 218 + }, + { + "name": "clip_vision_output", + "shape": 7, + "type": "CLIP_VISION_OUTPUT", + "link": 217 + } + ], + "outputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "links": [ + 318 + ] + }, + { + "name": "negative", + "type": "CONDITIONING", + "links": [ + 319 + ] + }, + { + "name": "latent", + "type": "LATENT", + "links": [ + 315 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "HunyuanVideo15ImageToVideo" + }, + "widgets_values": [ + 1280, + 720, + 121, + 1 + ] + }, + { + "id": 116, + "type": "EasyCache", + "pos": [ + -560, + 1820 + ], + "size": [ + 360, + 130 + ], + "flags": {}, + "order": 20, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 286 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 328, + 329, + 340 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "EasyCache" + }, + "widgets_values": [ + 0.2, + 0.15, + 0.95, + false + ] + }, + { + "id": 12, + "type": "UNETLoader", + "pos": [ + -620, + 50 + ], + "size": [ + 350, + 82 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 270 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "hunyuanvideo1.5_720p_i2v_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_i2v_fp16.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo1.5_720p_i2v_fp16.safetensors", + "default" + ] + }, + { + "id": 121, + "type": "Note", + "pos": [ + 240, + -120 + ], + "size": [ + 350, + 90 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "EasyCache can speed up this workflow, but it will also sacrifice the video quality. If you need it, use Ctrl+B to enable." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 123, + "type": "MarkdownNote", + "pos": [ + -630, + -120 + ], + "size": [ + 360, + 88 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "If you don't have enough VRAM and encounter the OOM error, please try to set the `weight_dtype` to `fp8_e4n3fn`." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 122, + "type": "MarkdownNote", + "pos": [ + 240, + 880 + ], + "size": [ + 370, + 320 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler settings", + "properties": {}, + "widgets_values": [ + "50 inference steps just take too long to get the final video, so by default we set the step to 20 steps. If you want a better quality, please try the original settings below\n\n## Original setting from Hunyuan team\n| Model | cfg | embeded_cfg | shift | inference step |\n|-----------------------|-----|-------------|-------|----------------|\n| 480p_t2v | 6 | None | 5 | 50 |\n| 480p_i2v | 6 | None | 5 | 50 |\n| 720p_t2v | 6 | None | 9 | 50 |\n| 720p_i2v | 6 | None | 7 | 50 |\n| 480p_t2v_distilled | 1 | None | 5 | 50 |\n| 480p_i2v_distilled | 1 | None | 5 | 50 |\n| 720p_t2v_distilled | 1 | None | 9 | 50 |\n| 720p_i2v_distilled | 1 | None | 7 | 50 |" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 44, + "type": "CLIPTextEncode", + "pos": [ + -220, + 50 + ], + "size": [ + 422.84503173828125, + 164.31304931640625 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 205 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 222, + 295, + 341 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "A young wasteland explorer in a weathered blue vault suit sprints through a dense, overgrown forest. Wearing a white aviator helmet with fur ear flaps and brass goggles, his mechanical gauntlets swing as he dodges massive tree trunks and low-hanging vines. Sunlight filters through the canopy, creating dramatic rays. He splashes through streams, crushes fallen leaves, and leaps over a fallen log. Birds scatter as he passes, and the camera captures his fast-paced, dynamic chase through the wilderness. " + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 80, + "type": "LoadImage", + "pos": [ + -610, + 600 + ], + "size": [ + 290.390625, + 314.00000000000006 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 218, + 219, + 300 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "LoadImage" + }, + "widgets_values": [ + "video_hunyuan_video_1.5_720p_i2v_input_image.png", + "image" + ] + }, + { + "id": 117, + "type": "VAEDecode", + "pos": [ + 900, + 1510 + ], + "size": [ + 270, + 46 + ], + "flags": {}, + "order": 41, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 336 + }, + { + "name": "vae", + "type": "VAE", + "link": 290 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 309 + ] + } + ], + "properties": { + "cnr_id": 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"directory": "text_encoders" + }, + { + "name": "byt5_small_glyphxl_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors", + "directory": "text_encoders" + } + ] + }, + "widgets_values": [ + "qwen_2.5_vl_7b_fp8_scaled.safetensors", + "byt5_small_glyphxl_fp16.safetensors", + "hunyuan_video_15", + "default" + ] + }, + { + "id": 111, + "type": "UNETLoader", + "pos": [ + -620, + 1330 + ], + "size": [ + 470, + 82 + ], + "flags": {}, + "order": 1, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 286 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors", + "default" + ] + }, + { + "id": 10, + "type": "VAELoader", + "pos": [ + -620, + 350 + ], + "size": [ + 350, + 60 + ], + "flags": {}, + "order": 2, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 206, + 290, + 306, + 307 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "VAELoader", + "models": [ + { + "name": "hunyuanvideo15_vae_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors", + "directory": "vae" + } + ] + }, + "widgets_values": [ + "hunyuanvideo15_vae_fp16.safetensors" + ] + }, + { + "id": 8, + "type": "VAEDecode", + "pos": [ + 640, + -230 + ], + "size": [ + 210, + 46 + ], + "flags": {}, + "order": 29, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 323 + }, + { + "name": "vae", + "type": "VAE", + "link": 206 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 308 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 105, + "type": "EasyCache", + "pos": [ + 240, + 30 + ], + "size": [ + 360, + 130 + ], + "flags": {}, + "order": 20, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 270 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 319, + 320 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "EasyCache" + }, + "widgets_values": [ + 0.2, + 0.15, + 0.95, + false + ] + }, + { + "id": 122, + "type": "MarkdownNote", + "pos": [ + 240, + 880 + ], + "size": [ + 370, + 320 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler settings", + "properties": {}, + "widgets_values": [ + "50 inference steps just take too long to get the final video, so by default we set the step to 20 steps. If you want a better quality, please try the original settings below\n\n## Original setting from Hunyuan team\n| Model | cfg | embeded_cfg | shift | inference step |\n|-----------------------|-----|-------------|-------|----------------|\n| 480p_t2v | 6 | None | 5 | 50 |\n| 480p_i2v | 6 | None | 5 | 50 |\n| 720p_t2v | 6 | None | 9 | 50 |\n| 720p_i2v | 6 | None | 7 | 50 |\n| 480p_t2v_distilled | 1 | None | 5 | 50 |\n| 480p_i2v_distilled | 1 | None | 5 | 50 |\n| 720p_t2v_distilled | 1 | None | 9 | 50 |\n| 720p_i2v_distilled | 1 | None | 7 | 50 |" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 113, + "type": "HunyuanVideo15SuperResolution", + "pos": [ + -570, + 1990 + ], + "size": [ + 370, + 170 + ], + "flags": {}, + "order": 33, + "mode": 4, + "inputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "link": 295 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 296 + }, + { + "name": "latent", + "type": "LATENT", + "link": 280 + }, + { + "name": "vae", + "shape": 7, + "type": "VAE", + "link": null + }, + { + "name": "start_image", + "shape": 7, + "type": "IMAGE", + "link": null + }, + { + "name": "clip_vision_output", + "shape": 7, + "type": "CLIP_VISION_OUTPUT", + "link": null + } + ], + "outputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "links": [ + 333 + ] + }, + { + "name": "negative", + "type": "CONDITIONING", + "links": [ + 334 + ] + }, + { + "name": "latent", + "type": "LATENT", + "links": [ + 330 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "HunyuanVideo15SuperResolution" + }, + "widgets_values": [ + 0.7 + ] + }, + { + "id": 44, + "type": "CLIPTextEncode", + "pos": [ + -220, + 50 + ], + "size": [ + 422.84503173828125, + 164.31304931640625 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 205 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 295, + 321, + 344 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "A paper airplane released from the top of a skyscraper, gliding through urban canyons, crossing traffic, flying over streets, spiraling upward between buildings. The camera follows the paper airplane's perspective, shooting cityscape in first-person POV, finally flying toward the sunset, disappearing in golden light. Creative camera movement, free perspective, dreamlike colors." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 125, + "type": "Note", + "pos": [ + -630, + -130 + ], + "size": [ + 360, + 90 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "If you don't have enough VRAM and encounter the OOM error, please try to set the `weight_dtype` to `fp8_e4n3fn`." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 12, + "type": "UNETLoader", + "pos": [ + -620, + 50 + ], + "size": [ + 350, + 82 + ], + "flags": {}, + "order": 5, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 270 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "hunyuanvideo1.5_720p_t2v_fp16.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo1.5_720p_t2v_fp16.safetensors", + "default" + ] + }, + { + "id": 104, + "type": "MarkdownNote", + "pos": [ + -1220, + 10 + ], + "size": [ + 560, + 520 + ], + "flags": { + "collapsed": false + }, + "order": 6, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model links", + "properties": {}, + "widgets_values": [ + "\n\n## Report issue\n\nIf you found any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n## Model links\n\n**text_encoders**\n\n- [qwen_2.5_vl_7b_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors)\n- [byt5_small_glyphxl_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/byt5_small_glyphxl_fp16.safetensors)\n\n**diffusion_models**\n\n- [hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors)\n- [hunyuanvideo1.5_720p_t2v_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/diffusion_models/hunyuanvideo1.5_720p_t2v_fp16.safetensors)\n\n**vae**\n\n- [hunyuanvideo15_vae_fp16.safetensors](https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/vae/hunyuanvideo15_vae_fp16.safetensors)\n\n\nModel Storage Location\n\n```\n๐Ÿ“‚ ComfyUI/\nโ”œโ”€โ”€ ๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ”œโ”€โ”€ qwen_2.5_vl_7b_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€ byt5_small_glyphxl_fp16.safetensors\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€ hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€ hunyuanvideo1.5_720p_t2v_fp16.safetensors\nโ”‚ โ””โ”€โ”€ ๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ hunyuanvideo15_vae_fp16.safetensors\n```" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 108, + "type": "LatentUpscaleModelLoader", + "pos": [ + -620, + 1460 + ], + "size": [ + 470, + 70 + ], + "flags": {}, + "order": 7, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "LATENT_UPSCALE_MODEL", + "type": "LATENT_UPSCALE_MODEL", + "links": [ + 274 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "LatentUpscaleModelLoader", + "models": [ + { + "name": "hunyuanvideo15_latent_upsampler_1080p.safetensors", + "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/latent_upscale_models/hunyuanvideo15_latent_upsampler_1080p.safetensors", + "directory": "latent_upscale_models" + } + ] + }, + "widgets_values": [ + "hunyuanvideo15_latent_upsampler_1080p.safetensors" + ] + }, + { + "id": 116, + "type": "EasyCache", + "pos": [ + -560, + 1610 + ], + "size": [ + 360, + 130 + ], + "flags": {}, + "order": 19, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 286 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 331, + 332, + 343 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "EasyCache" + }, + "widgets_values": [ + 0.2, + 0.15, + 0.95, + false + ] + }, + { + "id": 93, + "type": "CLIPTextEncode", + "pos": [ + -220, + 260 + ], + "size": [ + 422.84503173828125, + 200 + ], + "flags": {}, + "order": 18, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 240 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "links": [ + 296, + 322, + 345 + ] + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "" + ], + "color": "#223", + "bgcolor": "#335" + }, + { + "id": 120, + "type": "VAEDecodeTiled", + "pos": [ + 630, + -140 + ], + "size": [ + 270, + 150 + ], + "flags": {}, + "order": 31, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 325 + }, + { + "name": "vae", + "type": "VAE", + "link": 306 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "VAEDecodeTiled" + }, + "widgets_values": [ + 512, + 64, + 64, + 8 + ] + }, + { + "id": 121, + "type": "Note", + "pos": [ + 240, + -120 + ], + "size": [ + 350, + 90 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "EasyCache can speed up this workflow, but it will also sacrifice the video quality. If you need it, use Ctrl+B to enable." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 114, + "type": "CreateVideo", + "pos": [ + 920, + 1320 + ], + "size": [ + 270, + 80 + ], + "flags": {}, + "order": 40, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 312 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 292 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "CreateVideo" + }, + "widgets_values": [ + 24 + ] + }, + { + "id": 117, + "type": "VAEDecode", + "pos": [ + 920, + 1450 + ], + "size": [ + 270, + 46 + ], + "flags": {}, + "order": 38, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 339 + }, + { + "name": "vae", + "type": "VAE", + "link": 290 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 312 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.70", + "Node name for S&R": "VAEDecode" + }, + "widgets_values": [] + }, + { + "id": 126, + "type": "Note", + "pos": [ + 1210, + 1040 + ], + "size": [ + 300, + 150 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "Use the VAE Decode (Tiled) if it takes too long to get the final video." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 128, + "type": "BasicScheduler", + "pos": [ + 250, + 480 + ], + "size": [ + 315, + 106 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 319 + } + ], + "outputs": [ + { + "name": "SIGMAS", + "type": "SIGMAS", + "links": [ + 316 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.68", + "Node name for S&R": "BasicScheduler" + }, + "widgets_values": [ + "simple", + 20, + 1 + ] + }, + { + "id": 129, + "type": "RandomNoise", + "pos": [ + 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prevent you from inputting an oversized video. A large size video will take a very long time to preprocess.\n\nPlease update this setting according to the video size you input\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 227, + "type": "MarkdownNote", + "pos": [ + -1300, + 2100 + ], + "size": [ + 400, + 240 + ], + "flags": {}, + "order": 3, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: Switch to Move mode", + "properties": {}, + "widgets_values": [ + "The model has two modes:\n- Mix: character replace\n- Move: Pose transfer\n\nIf you want to switch to **Move** mode, please disconnect **Background_video** and **Character_mask** output from the **WanAnimateToVideo** node.\n\nBypass will still pass the input video to the **WanAnimateToVideo** node, so please disconnect them." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 229, + "type": "PointsEditor", + "pos": [ + -2150, + 1100 + ], + "size": [ + 685, + 940 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": 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Or you can run the workflow once, and it will automatically get the first frame of the input video.\n\n## Add new green points\n\nGreen points are used to mark the area that you want to detect.\nPress the Shift key, then use the left click to add new green points.\n\n## Add new red points\n\nRed points are used to mark the area you want to exclude.\nPress the Shift key, then use the right click to add new red points.\n\n## Clear all points\n\nClick the **New canvas** to clear all points" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 107, + "type": "Sam2Segmentation", + "pos": [ + -1310, + 1330 + ], + "size": [ + 320, + 190 + ], + "flags": {}, + "order": 32, + "mode": 0, + "inputs": [ + { + "name": "sam2_model", + "type": "SAM2MODEL", + "link": 235 + }, + { + "name": "image", + "type": "IMAGE", + "link": 457 + }, + { + "name": "coordinates_positive", + "type": "STRING", + "link": 438, + "shape": 7 + }, + { + "name": "coordinates_negative", + "type": "STRING", + "link": 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"https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_relight/WanAnimate_relight_lora_fp16.safetensors", + "directory": "loras" + } + ] + }, + "widgets_values": [ + "WanAnimate_relight_lora_fp16.safetensors", + 1 + ] + }, + { + "id": 226, + "type": "MarkdownNote", + "pos": [ + -2830, + -380 + ], + "size": [ + 590, + 160 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: Make sure these custom nodes are installed.", + "properties": {}, + "widgets_values": [ + "In this template, we have used three custom nodes. For users who don't know how to install a custom node, please refer to [How to install custom node](https://docs.comfy.org/installation/install_custom_node).\n\n## Custom nodes\n\n- [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n- [ComfyUI-KJNodes](https://github.com/kijai/ComfyUI-KJNodes/)\n- [ComfyUI-segment-anything-2](https://github.com/kijai/ComfyUI-segment-anything-2)\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 44, + "type": "MarkdownNote", + "pos": [ + -2830, + -170 + ], + "size": [ + 590, + 590 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: Model links", + "properties": {}, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-animate\n) \n\n## Model links\n\n**diffusion_models** \n- [Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors](https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/main/Wan22Animate/Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors)\n- [wan2.2_animate_14B_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_animate_14B_bf16.safetensors)\n\n**loras**\n- [lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors)\n- [WanAnimate_relight_lora_fp16.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_relight/WanAnimate_relight_lora_fp16.safetensors)\n\n**clip_visions**\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors)\n\n**vae**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**text_encoders** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_animate_14B_bf16.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ WanAnimate_relight_lora_fp16.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ clip_visions/ \nโ”‚ โ”‚ โ””โ”€โ”€โ”€ clip_vision_h.safetensors\nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n# Report issue\n\nIf you have any problems while using this workflow, please report template-related issues via this link: [report the template issue here](https://github.com/Comfy-Org/workflow_templates/issues)." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 2, + "type": "CLIPLoader", + "pos": [ + -1400, + -260 + ], + "size": [ + 306.36004638671875, + 106 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "slot_index": 0, + "links": [ + 1, + 18 + ] + } + ], + "properties": { + "Node name for S&R": "CLIPLoader", + "cnr_id": "comfy-core", + "ver": "0.3.59", + "models": [ + { + "name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors", + "directory": "text_encoders" + } + ] + }, + "widgets_values": [ + "umt5_xxl_fp8_e4m3fn_scaled.safetensors", + "wan", + "default" + ] + }, + { + "id": 3, + "type": "VAELoader", + "pos": [ + -1400, + 180 + ], + "size": [ + 310, + 60 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 479, + 525, + 697 + ] + } + ], + "properties": { + "Node name for S&R": "VAELoader", + "cnr_id": "comfy-core", + "ver": "0.3.59", + "models": [ + { + "name": "wan_2.1_vae.safetensors", + "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors", + "directory": "vae" + } + ] + }, + "widgets_values": [ + "wan_2.1_vae.safetensors" + ] + }, + { + "id": 60, + "type": "ModelSamplingSD3", + "pos": [ + -1380, + -30 + ], + "size": [ + 315, + 58 + ], + "flags": {}, + "order": 27, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 227 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 477, + 524, + 696 + ] + } + ], + "properties": { + "Node name for S&R": "ModelSamplingSD3", + "cnr_id": "comfy-core", + "ver": "0.3.59" + }, + "widgets_values": [ + 8 + ] + }, + { + "id": 4, + "type": "CLIPVisionLoader", + "pos": [ + -2160, + 160 + ], + "size": [ + 306.36004638671875, + 58 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "CLIP_VISION", + "type": "CLIP_VISION", + "slot_index": 0, + "links": [ + 4 + ] + } + ], + "properties": { + "Node name for S&R": "CLIPVisionLoader", + "cnr_id": "comfy-core", + "ver": "0.3.59", + "models": [ + { + "name": "clip_vision_h.safetensors", + "url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors", + "directory": "clip_vision" + } + ] + }, + "widgets_values": [ + "clip_vision_h.safetensors" + ] + }, + { + "id": 18, + "type": "LoraLoaderModelOnly", + "pos": [ + -1800, + -190 + ], + "size": [ + 310, + 82 + ], + "flags": {}, + "order": 20, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 16 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "links": [ + 226 + ] + } + ], + "properties": { + "Node name for S&R": "LoraLoaderModelOnly", + "cnr_id": "comfy-core", + "ver": "0.3.59", + "models": [ + { + "name": "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors", + "url": "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors", + "directory": "loras" + } + ] + }, + "widgets_values": [ + "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors", + 1 + ] + }, + { + "id": 20, + "type": "UNETLoader", + "pos": [ + -2160, + -90 + ], + "size": [ + 306.36004638671875, + 82 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 16 + ] + } + ], + "properties": { + "Node name for S&R": "UNETLoader", + "cnr_id": "comfy-core", + "ver": "0.3.59", + "models": [ + { + "name": "Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors", + "url": "https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/main/Wan22Animate/Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors", + "default" + ] + }, + { + "id": 160, + "type": "PrimitiveInt", + "pos": [ + -1020, + -500 + ], + "size": [ + 240, + 82 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 447, + 449, + 489 + ] + } + ], + "title": "Height", + "properties": { + "Node name for S&R": "PrimitiveInt", + "cnr_id": "comfy-core", + "ver": "0.3.59" + }, + "widgets_values": [ + 640, + "fixed" + ] + }, + { + "id": 159, + "type": "PrimitiveInt", + "pos": [ + -750, + -500 + ], + "size": [ + 240, + 82 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 446, + 448, + 488, + 536, + 708 + ] + } + ], + "title": "Width", + "properties": { + "Node name for S&R": "PrimitiveInt", + "cnr_id": "comfy-core", + "ver": "0.3.59" + }, + "widgets_values": [ + 640, + "fixed" + ] + }, + { + "id": 161, + "type": "MarkdownNote", + "pos": [ + -460, + -570 + ], + "size": [ + 370, + 88 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: about size", + "properties": {}, + "widgets_values": [ + "Due to the **WanAnimateToVideo** node input limit. The width and height must be multiples of 16.\n\nBy default, we set it to a smaller size. This is in case you don't have enough VRAM and input a large size, which may cause an out-of-memory issue." + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 1, + 2, + 0, + 1, + 0, + "CLIP" + ], + [ + 4, + 4, + 0, + 9, + 0, + "CLIP_VISION" + ], + [ + 16, + 20, + 0, + 18, + 0, + "MODEL" + ], + [ + 18, + 2, + 0, + 21, + 0, + "CLIP" + ], + [ + 226, + 18, + 0, + 99, + 0, + "MODEL" + ], + [ + 227, + 99, + 0, + 60, + 0, + "MODEL" + ], + [ + 235, + 108, + 0, + 107, + 0, + "SAM2MODEL" + ], + [ + 297, + 145, + 0, + 23, + 0, + "VIDEO" + ], + [ + 344, + 10, + 0, + 9, + 1, + "IMAGE" + ], + [ + 347, + 23, + 0, + 158, + 0, + "IMAGE" + ], + [ + 360, + 158, + 0, + 100, + 1, + "INT" + ], + [ + 361, + 158, + 0, + 101, + 1, + "INT" + ], + [ + 422, + 212, + 0, + 100, + 0, + "IMAGE" + ], + [ + 423, + 212, + 0, + 101, + 0, + "IMAGE" + ], + [ + 425, + 23, + 0, + 212, + 0, + "IMAGE" + ], + [ + 438, + 229, + 0, + 107, + 2, + "STRING" + ], + [ + 446, + 159, + 0, + 212, + 1, + "INT" + ], + 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referece image", + "bounding": [ + -2220, + 300, + 450, + 640 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 3, + "title": "Step 2 - Prompt", + "bounding": [ + -1050, + -360, + 560, + 640 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 7, + "title": "Step 4 - Load original video", + "bounding": [ + -1750, + 300, + 1260, + 640 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 8, + "title": "Sampling + video output", + "bounding": [ + -470, + -360, + 550, + 1400 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 13, + "title": "Character Mask and Background Video Preprocessing", + "bounding": [ + -2210, + 960, + 1720, + 1440 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 16, + "title": "Video size", + "bounding": [ + -1040, + -600, + 550, + 220 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 14, + "title": "Character 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If you don't want to run both groups simultaneously, don't forget to use **Ctrl + B** to disable the **fp8_scaled + 4steps LoRA** group after enabling the **fp8_scaled** group, or try the [partial - execution](https://docs.comfy.org/interface/features/partial-execution) feature." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 84, + "type": "KSamplerAdvanced", + "pos": [ + 900, + -70 + ], + "size": [ + 300, + 540 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 168 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 169 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 170 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 171 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 178 + ] + } + ], + "properties": { + "Node name for S&R": "KSamplerAdvanced", + "cnr_id": "comfy-core", + "ver": "0.3.45", + "enableTabs": false, + 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"comfy-core", + "ver": "0.3.45", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "disable", + 0, + "fixed", + 20, + 4, + "euler", + "simple", + 10, + 10000, + "disable" + ] + }, + { + "id": 94, + "type": "MarkdownNote", + "pos": [ + -500, + -160 + ], + "size": [ + 480, + 550 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: Model Links", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2)\n\n\n## Model links\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n**loras**\n\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**diffusion_models**\n\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**vae**\n\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n\nModel Storage Location\n\n```\n๐Ÿ“‚ ComfyUI/\nโ”œโ”€โ”€ ๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors\nโ”‚ โ”œโ”€โ”€ ๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€ wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€ wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\nโ”‚ โ””โ”€โ”€ ๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n\n## Report issue\n\nIf you encounter any issues when running this workflow, [report template issue here](https://github.com/Comfy-Org/workflow_templates/issues)\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 93, + "type": "MarkdownNote", + "pos": [ + -500, + 450 + ], + "size": [ + 480, + 180 + ], + "flags": {}, + "order": 17, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: VRAM Usage", + "properties": { + "ue_properties": { + "version": "7.1", + "widget_ue_connectable": {}, + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "## GPU:RTX4090D 24GB\n\n| Model | Size |VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|-------|-----------|---------------|-----------------|\n| fp8_scaled |640*640| 84% | โ‰ˆ 536s | โ‰ˆ 513s |\n| fp8_scaled + 4steps LoRA | 640*640 | 89% | โ‰ˆ 108s | โ‰ˆ 71s |" + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 74, + 38, + 0, + 6, + 0, + "CLIP" + ], + [ + 75, + 38, + 0, + 7, + 0, + "CLIP" + ], + [ + 76, + 39, + 0, + 8, + 1, + 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Ship speeds toward giant planet, engine lights brilliant." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 112, + "type": "MarkdownNote", + "pos": [ + -790, + 2160 + ], + "size": [ + 480, + 150 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "VRAM Usage", + "properties": {}, + "widgets_values": [ + "## GPU:RTX4090D 24GB\n\n| Model | Size |VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|-------|-----------|---------------|-----------------|\n| fp8_scaled |640*640| 84% | โ‰ˆ 536s | โ‰ˆ 513s |\n| fp8_scaled + 4steps LoRA | 640*640 | 89% | โ‰ˆ 108s | โ‰ˆ 71s |" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 110, + "type": "MarkdownNote", + "pos": [ + -790, + 1680 + ], + "size": [ + 480, + 430 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-camera\n) \n\n**Diffusion Model**\n- [wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + 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"secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "video_wan2_2_14B_fun_control_start_image.jpg", + "image" + ] + }, + { + "id": 158, + "type": "LoadVideo", + "pos": [ + 510, + 1230 + ], + "size": [ + 274.080078125, + 348.0800781250002 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 277 + ] + } + ], + "properties": { + "Node name for S&R": "LoadVideo", + "cnr_id": "comfy-core", + "ver": "0.3.49", + "enableTabs": false, + "tabWidth": 65, + "tabXOffset": 10, + "hasSecondTab": false, + "secondTabText": "Send Back", + "secondTabOffset": 80, + "secondTabWidth": 65, + "ue_properties": { + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "video_wan2_2_14B_fun_control_start_image_control_video.mp4", + "image" + ] + }, + { + "id": 185, + "type": "MarkdownNote", + "pos": [ + 830, + 1620 + ], + "size": [ + 420, + 120 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About Control Video", + "properties": {}, + "widgets_values": [ + "You may need the following custom nodes to preprocess the control video:\n1. [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n2. [ComfyUI-DepthAnythingV2](https://github.com/kijai/ComfyUI-DepthAnythingV2)\n\nYou can find the control video we use [here](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control).\n\nThis model supports multiple control conditions such as Canny, Depth, Pose, and trajectory control." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 183, + "type": "Note", + "pos": [ + 80, + 180 + ], + "size": [ + 360, + 100 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 161, + "type": "MarkdownNote", + "pos": [ + -470, + 500 + ], + "size": [ + 530, + 550 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": { + "ue_properties": { + "widget_ue_connectable": {} + } + }, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control\n) \n\n**Diffusion Model**\n- [wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 186, + "type": "MarkdownNote", + "pos": [ + -460, + 330 + ], + "size": [ + 520, + 130 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Note: About Wan2.2 Fun Control", + "properties": {}, + "widgets_values": [ + "Wan2.2-Fun-Control is a 14B-parameter video generation model launched by Alibaba PAI, supporting multiple control conditions such as Canny, Depth, Pose and trajectory control. \n\nIt enables multi-resolution (512/768/1024) video prediction, trained with 81 frames and 16 FPS, and supports multilingual generation." + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 164, + 90, + 0, + 91, + 0, + "CLIP" + ], + [ + 175, + 95, + 0, + 97, + 0, + "LATENT" + ], + [ + 176, + 92, + 0, + 97, + 1, + "VAE" + ], + [ + 177, + 100, + 0, + 98, + 0, + "VIDEO" + ], + [ + 178, + 90, + 0, + 99, + 0, + "CLIP" + ], + [ + 179, + 97, + 0, + 100, + 0, + "IMAGE" + ], + [ + 243, + 93, + 0, + 96, + 0, + "MODEL" + ], + [ + 244, + 101, + 0, + 93, + 0, + "MODEL" + ], + [ + 245, + 94, + 0, + 95, + 0, + "MODEL" + ], + [ + 246, + 102, + 0, + 94, + 0, + "MODEL" + ], + [ + 277, + 158, + 0, + 156, + 0, + "VIDEO" + ], + [ + 279, + 157, + 0, + 159, + 0, + "IMAGE" + ], + [ + 281, + 96, + 0, + 95, + 3, + "LATENT" + ], + [ + 284, + 145, + 0, + 160, + 3, + "IMAGE" + ], + [ + 285, + 156, + 0, + 157, + 0, + "IMAGE" + ], + [ + 286, + 157, + 0, + 160, + 4, + "IMAGE" + ], + [ + 287, + 92, + 0, + 160, + 2, + "VAE" + ], + [ + 288, + 91, + 0, + 160, + 1, + "CONDITIONING" + ], 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"links_added_by_ue": [] + }, + "version": 0.4 +} \ No newline at end of file diff --git a/comfyui/workflows/image-to-video/i2v_wan22-14b-i2v.json b/comfyui/workflows/image-to-video/i2v_wan22-14b-i2v.json new file mode 100644 index 0000000..7d59461 --- /dev/null +++ b/comfyui/workflows/image-to-video/i2v_wan22-14b-i2v.json @@ -0,0 +1,2327 @@ +{ + "id": "ec7da562-7e21-4dac-a0d2-f4441e1efd3b", + "revision": 0, + "last_node_id": 115, + "last_link_id": 214, + "nodes": [ + { + "id": 38, + "type": "CLIPLoader", + "pos": [ + 70, + 1360 + ], + "size": [ + 346.391845703125, + 106 + ], + "flags": {}, + "order": 0, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "CLIP", + "type": "CLIP", + "slot_index": 0, + "links": [ + 74, + 75 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "CLIPLoader", + "models": [ + { + "name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors", + "url": 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"input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "่‰ฒ่ฐƒ่‰ณไธฝ๏ผŒ่ฟ‡ๆ›๏ผŒ้™ๆ€๏ผŒ็ป†่Š‚ๆจก็ณŠไธๆธ…๏ผŒๅญ—ๅน•๏ผŒ้ฃŽๆ ผ๏ผŒไฝœๅ“๏ผŒ็”ปไฝœ๏ผŒ็”ป้ข๏ผŒ้™ๆญข๏ผŒๆ•ดไฝ“ๅ‘็ฐ๏ผŒๆœ€ๅทฎ่ดจ้‡๏ผŒไฝŽ่ดจ้‡๏ผŒJPEGๅŽ‹็ผฉๆฎ‹็•™๏ผŒไธ‘้™‹็š„๏ผŒๆฎ‹็ผบ็š„๏ผŒๅคšไฝ™็š„ๆ‰‹ๆŒ‡๏ผŒ็”ปๅพ—ไธๅฅฝ็š„ๆ‰‹้ƒจ๏ผŒ็”ปๅพ—ไธๅฅฝ็š„่„ธ้ƒจ๏ผŒ็•ธๅฝข็š„๏ผŒๆฏๅฎน็š„๏ผŒๅฝขๆ€็•ธๅฝข็š„่‚ขไฝ“๏ผŒๆ‰‹ๆŒ‡่žๅˆ๏ผŒ้™ๆญขไธๅŠจ็š„็”ป้ข๏ผŒๆ‚ไนฑ็š„่ƒŒๆ™ฏ๏ผŒไธ‰ๆก่…ฟ๏ผŒ่ƒŒๆ™ฏไบบๅพˆๅคš๏ผŒๅ€’็€่ตฐ" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 39, + "type": "VAELoader", + "pos": [ + 70, + 1520 + ], + "size": [ + 344.731689453125, + 59.98149108886719 + ], + "flags": {}, + "order": 1, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "VAE", + "type": "VAE", + "slot_index": 0, + "links": [ + 76, + 141 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "VAELoader", + "models": [ + { + "name": "wan_2.1_vae.safetensors", + "url": 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If you have enough VRAM, you can change the size" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 104, + "type": "ModelSamplingSD3", + "pos": [ + 740, + -230 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 190 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 195 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "ModelSamplingSD3", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 5.000000000000001 + ] + }, + { + "id": 98, + "type": "WanImageToVideo", + "pos": [ + 530, + 530 + ], + "size": [ + 342.5999755859375, + 210 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "link": 183 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 184 + }, + { + "name": "vae", + "type": "VAE", + "link": 185 + }, + { + "name": "clip_vision_output", + "shape": 7, + "type": "CLIP_VISION_OUTPUT", + "link": null + }, + { + "name": "start_image", + "shape": 7, + "type": "IMAGE", + "link": 186 + } + ], + "outputs": [ + { + "name": "positive", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 168, + 172 + ] + }, + { + "name": "negative", + "type": "CONDITIONING", + "slot_index": 1, + "links": [ + 169, + 173 + ] + }, + { + "name": "latent", + "type": "LATENT", + "slot_index": 2, + "links": [ + 174 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "WanImageToVideo", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 640, + 640, + 81, + 1 + ] + }, + { + "id": 94, + "type": "CreateVideo", + "pos": [ + 1350, + 460 + ], + "size": [ + 270, + 78 + ], + "flags": {}, + "order": 34, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 182 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 197 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "CreateVideo", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + 16 + ] + }, + { + "id": 87, + "type": "VAEDecode", + "pos": [ + 1060, + 480 + ], + "size": [ + 210, + 46 + ], + "flags": {}, + "order": 32, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 175 + }, + { + "name": "vae", + "type": "VAE", + "link": 176 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 182 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "VAEDecode", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 108, + "type": "SaveVideo", + "pos": [ + 1690, + -250 + ], + "size": [ + 890, + 988 + ], + "flags": {}, + "order": 36, + "mode": 0, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 197 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.49", + "Node name for S&R": "SaveVideo", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 115, + "type": "Note", + "pos": [ + 30, + -470 + ], + "size": [ + 360, + 100 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About 4 Steps LoRA", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 86, + "type": "KSamplerAdvanced", + "pos": [ + 990, + -250 + ], + "size": [ + 304.748046875, + 546 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 195 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 172 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 173 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 174 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 170 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "KSamplerAdvanced", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "enable", + 138073435077572, + "randomize", + 4, + 1, + "euler", + "simple", + 0, + 2, + 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"7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [] + }, + { + "id": 57, + "type": "KSamplerAdvanced", + "pos": [ + 920, + 1110 + ], + "size": [ + 310, + 500 + ], + "flags": {}, + "order": 27, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 147 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 136 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 137 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 140 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 113 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "KSamplerAdvanced", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "enable", + 306189419888845, + "randomize", + 20, + 3.5, + "euler", + "simple", + 0, + 10, + "enable" + ] + }, + { + "id": 61, + "type": "SaveVideo", + "pos": [ + 1580, + 1110 + ], + "size": [ + 990, + 990 + ], + "flags": {}, + "order": 35, + "mode": 4, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 199 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "SaveVideo", + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 66, + "type": "MarkdownNote", + "pos": [ + -470, + -320 + ], + "size": [ + 480, + 530 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": { + "ue_properties": { + "widget_ue_connectable": {}, + "version": "7.1", + "input_ue_unconnectable": {} + } + }, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n)\n\n**Diffusion Model**\n- [wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors)\n- [wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, 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"links": [ + 472 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "ImageFromBatch" + }, + "widgets_values": [ + 0, + 4096 + ] + }, + { + "id": 156, + "type": "LatentConcat", + "pos": [ + 2470, + 1860 + ], + "size": [ + 210, + 78 + ], + "flags": {}, + "order": 53, + "mode": 4, + "inputs": [ + { + "name": "samples1", + "type": "LATENT", + "link": 458 + }, + { + "name": "samples2", + "type": "LATENT", + "link": 459 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 440 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "LatentConcat" + }, + "widgets_values": [ + "t" + ] + }, + { + "id": 157, + "type": "LatentCut", + "pos": [ + 2470, + 1980 + ], + "size": [ + 210, + 106 + ], + "flags": {}, + "order": 51, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 460 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 458 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "LatentCut" + }, + "widgets_values": [ + "t", + 0, + 1 + ] + }, + { + "id": 159, + "type": "CLIPTextEncode", + "pos": [ + 370, + 1790 + ], + "size": [ + 422.84503173828125, + 164.31304931640625 + ], + "flags": {}, + "order": 34, + "mode": 4, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 461 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 449, + 463, + 476, + 488 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "The man is playing the guitar. He looks down at his hands playing the guitar and sings affectionately and gently." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 163, + "type": "Note", + "pos": [ + 2720, + 1920 + ], + "size": [ + 220, + 90 + ], + "flags": {}, + "order": 13, + "mode": 4, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "Stupid hack to fix the first frame being overbaked by the VAE, double the first frame and remove it after decoding." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 165, + "type": "d7670b5a-34e9-40f6-ac84-ec52996e52f3", + "pos": [ + 1820, + 1790 + ], + "size": [ + 280, + 318 + ], + "flags": {}, + "order": 47, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 462 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 463 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 464 + }, + { + "name": "vae", + "type": "VAE", + "link": 465 + }, + { + "name": "video_latent", + "type": "LATENT", + "link": 466 + }, + { + "name": "audio_encoder_output", + "type": "AUDIO_ENCODER_OUTPUT", + "link": 467 + }, + { + "name": "ref_image", + "type": "IMAGE", + "link": 468 + }, + { + "name": "control_video", + "type": "IMAGE", + "link": null + }, + { + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": 469 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 470 + }, + { + "name": "length", + "type": "INT", + "widget": { + "name": "length" + }, + "link": 471 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 491 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54" + }, + "widgets_values": [ + 250, + 10, + 6, + "uni_pc", + "simple", + 77 + ] + }, + { + "id": 166, + "type": "PrimitiveInt", + "pos": [ + 420, + 2480 + ], + "size": [ + 306.36004638671875, + 82 + ], + "flags": {}, + "order": 14, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 454, + 471, + 484, + 496 + ] + } + ], + "title": "Chunk Length", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "PrimitiveInt" + }, + "widgets_values": [ + 77, + "fixed" + ] + }, + { + "id": 167, + "type": "CreateVideo", + "pos": [ + 2430, + 2170 + ], + "size": [ + 270, + 80 + ], + "flags": {}, + "order": 59, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 472 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": 473 + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 474 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "CreateVideo" + }, + "widgets_values": [ + 16 + ] + }, + { + "id": 169, + "type": "PrimitiveInt", + "pos": [ + 420, + 2340 + ], + "size": [ + 306.36004638671875, + 90 + ], + "flags": { + "collapsed": false + }, + "order": 15, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 457 + ] + } + ], + "title": "Batch sizes", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "PrimitiveInt" + }, + "widgets_values": [ + 3, + "fixed" + ] + }, + { + "id": 171, + "type": "MarkdownNote", + "pos": [ + 770, + 2340 + ], + "size": [ + 300, + 320 + ], + "flags": {}, + "order": 16, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Batch sizes", + "properties": {}, + "widgets_values": [ + "## Batch sizes\nBatch sizes depend on how many Video S2V Extend subgraphs you have added to the workflow.\n\nEach Video S2V Extend subgraph will add 77 frames to the final output.\n\nExample:\n\nIf you added 1 Video S2V Extend subgraph, you should set the batch size to 2.\n\nWe added 2 Video S2V Extend subgraphs, so the batch size value is 3.\n\n## Chunk length\n\n77 is the default length from the WAN2.2S2V official code. This model needs at least 73 frames. If you set the value too high, it might cause an out-of-memory issue.\n\nSo you can just leave 77 as it is." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 172, + "type": "bdee126d-2d92-4d01-9e74-9118a9d609c5", + "pos": [ + 1520, + 1790 + ], + "size": [ + 280, + 318 + ], + "flags": {}, + "order": 45, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 475 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 476 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 477 + }, + { + "name": "vae", + "type": "VAE", + "link": 478 + }, + { + "name": "video_latent", + "type": "LATENT", + "link": 479 + }, + { + "name": "audio_encoder_output", + "type": "AUDIO_ENCODER_OUTPUT", + "link": 480 + }, + { + "name": "ref_image", + "type": "IMAGE", + "link": 481 + }, + { + "name": "control_video", + "type": "IMAGE", + "link": null + }, + { + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": 482 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 483 + }, + { + "name": "length", + "type": "INT", + "widget": { + "name": "length" + }, + "link": 484 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 466 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54" + }, + "widgets_values": [ + 1, + 10, + 6, + "uni_pc", + "simple", + 77 + ] + }, + { + "id": 173, + "type": "AudioEncoderEncode", + "pos": [ + 1130, + 2340 + ], + "size": [ + 285.087890625, + 46 + ], + "flags": {}, + "order": 38, + "mode": 4, + "inputs": [ + { + "name": "audio_encoder", + "type": "AUDIO_ENCODER", + "link": 485 + }, + { + "name": "audio", + "type": "AUDIO", + "link": 486 + } + ], + "outputs": [ + { + "name": "AUDIO_ENCODER_OUTPUT", + "type": "AUDIO_ENCODER_OUTPUT", + "links": [ + 452, + 467, + 480, + 492 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "AudioEncoderEncode" + }, + "widgets_values": [] + }, + { + "id": 168, + "type": "SaveVideo", + "pos": [ + 1500, + 2320 + ], + "size": [ + 1250, + 690 + ], + "flags": {}, + "order": 61, + "mode": 4, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 474 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "SaveVideo" + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 177, + "type": "PrimitiveInt", + "pos": [ + 420, + 2650 + ], + "size": [ + 306.36004638671875, + 82 + ], + "flags": {}, + "order": 17, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "INT", + "type": "INT", + "links": [ + 447, + 469, + 482, + 494 + ] + } + ], + "title": "Steps", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "PrimitiveInt" + }, + "widgets_values": [ + 20, + "fixed" + ] + }, + { + "id": 178, + "type": "PrimitiveFloat", + "pos": [ + 420, + 2780 + ], + "size": [ + 306.36004638671875, + 58 + ], + "flags": {}, + "order": 18, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "FLOAT", + "type": "FLOAT", + "links": [ + 448, + 470, + 483, + 495 + ] + } + ], + "title": "CFG", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "PrimitiveFloat" + }, + "widgets_values": [ + 6 + ] + }, + { + "id": 144, + "type": "MarkdownNote", + "pos": [ + 770, + 1140 + ], + "size": [ + 280, + 110 + ], + "flags": {}, + "order": 19, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Sampler settings", + "properties": {}, + "widgets_values": [ + "| model | Steps | cfg |\n|---------------------|---------------|---------------|\n| With 4 steps lightning LoRA | 4 | 1.0 |\n| Without 4 Steps lightning LoRA | 20 | 6.0 |\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 170, + "type": "MarkdownNote", + "pos": [ + 770, + 2740 + ], + "size": [ + 280, + 110 + ], + "flags": {}, + "order": 20, + "mode": 4, + "inputs": [], + "outputs": [], + "title": "Sampler settings", + "properties": {}, + "widgets_values": [ + "| model | Steps | cfg |\n|---------------------|---------------|---------------|\n| With 4 steps lightning LoRA | 4 | 1.0 |\n| Without 4 Steps lightning LoRA | 20 | 6.0 |\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 179, + "type": "MarkdownNote", + "pos": [ + -520, + 1710 + ], + "size": [ + 400, + 90 + ], + "flags": {}, + "order": 21, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "This is the 20-step workflow. We put it here in case some users don't know how to modify the workflow that with Wan2.2 lightning LoRA. If you want to enable it, box-select the workflow and then use Ctrl+B to enable it." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 174, + "type": "51b3a856-6e10-44f8-94d7-2a92a39c9707", + "pos": [ + 2140, + 1790 + ], + "size": [ + 245.37460327148438, + 318 + ], + "flags": {}, + "order": 49, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 487 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 488 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 489 + }, + { + "name": "vae", + "type": "VAE", + "link": 490 + }, + { + "name": "video_latent", + "type": "LATENT", + "link": 491 + }, + { + "name": "audio_encoder_output", + "type": "AUDIO_ENCODER_OUTPUT", + "link": 492 + }, + { + "name": "ref_image", + "type": "IMAGE", + "link": 493 + }, + { + "name": "control_video", + "type": "IMAGE", + "link": null + }, + { + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": 494 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 495 + }, + { + "name": "length", + "type": "INT", + "widget": { + "name": "length" + }, + "link": 496 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 459, + 460 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54" + }, + "widgets_values": [ + 1, + 10, + 6, + "uni_pc", + "simple", + 77 + ] + }, + { + "id": 37, + "type": "UNETLoader", + "pos": [ + -80, + 150 + ], + "size": [ + 390, + 82 + ], + "flags": {}, + "order": 22, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 362 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "wan2.2_s2v_14B_fp8_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "wan2.2_s2v_14B_fp8_scaled.safetensors", + "default" + ] + }, + { + "id": 161, + "type": "UNETLoader", + "pos": [ + -80, + 1750 + ], + "size": [ + 390, + 82 + ], + "flags": {}, + "order": 23, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 498 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "UNETLoader", + "models": [ + { + "name": "wan2.2_s2v_14B_fp8_scaled.safetensors", + "url": "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors", + "directory": "diffusion_models" + } + ] + }, + "widgets_values": [ + "wan2.2_s2v_14B_fp8_scaled.safetensors", + "default" + ] + }, + { + "id": 112, + "type": "Note", + "pos": [ + 390, + -200 + ], + "size": [ + 380, + 110 + ], + "flags": {}, + "order": 24, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About lightning LoRA", + "properties": {}, + "widgets_values": [ + "Tested all wan2.2 lightning LoRAs; all worked, but many keys didn't match. However, because it reduces generation time a lot, we added this lightning model. If you find the output quality is too bad, you can try the 20 steps workflow without lightning LoRA." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 181, + "type": "MarkdownNote", + "pos": [ + -90, + -60 + ], + "size": [ + 420, + 130 + ], + "flags": {}, + "order": 25, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About fp8_scaled and bf16", + "properties": {}, + "widgets_values": [ + "You can find both models [Here](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/diffusion_models)\n\n- [wan2.2_s2v_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors)\n- [wan2.2_s2v_14B_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors)\n\nThis template is using wan2.2_s2v_14B_fp8_scaled.safetensors, which requires less VRAM. But you can try wan2.2_s2v_14B_bf16.safetensors to reduce degradation." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 3, + "type": "KSampler", + "pos": [ + 1160, + 150 + ], + "size": [ + 280, + 440 + ], + "flags": {}, + "order": 42, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 111 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 257 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 258 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 259 + }, + { + "name": "steps", + "type": "INT", + "widget": { + "name": "steps" + }, + "link": 319 + }, + { + "name": "cfg", + "type": "FLOAT", + "widget": { + "name": "cfg" + }, + "link": 348 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 189 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.54", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 20, + "randomize", + 10, + 6, + "uni_pc", + "simple", + 1 + ] + }, + { + "id": 108, + "type": "MarkdownNote", + "pos": [ + -590, + 110 + ], + "size": [ + 480, + 500 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-s2v\n) \n\n**diffusion_models** \n- [wan2.2_s2v_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors)\n- [wan2.2_s2v_14B_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_s2v_14B_bf16.safetensors)\n\n**audio_encoders**\n- [wav2vec2_large_english_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/audio_encoders/wav2vec2_large_english_fp16.safetensors)\n\n**vae**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors)\n\n**text_encoders** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_s2v_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_s2v_14B_bf16.safetensors # The bf16 model will cause less degradation\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ audio_encoders/ # Create one if you can't find this folder\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wav2vec2_large_english_fp16.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 58, + "type": "LoadAudio", + 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[umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€ wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ loras/\nโ”‚ โ”‚ โ”œโ”€โ”€โ”€wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors\nโ”‚ โ”‚ โ””โ”€โ”€โ”€wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan_2.1_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 89, + "type": "CLIPTextEncode", + "pos": [ + 440, + 130 + ], + "size": [ + 510, + 160 + ], + "flags": {}, + "order": 16, + "mode": 0, + "inputs": [ 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Hair flowing in slow motion as she turns. Soft natural lighting, clean background, cinematic slow-motion portrait." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 81, + "type": "KSamplerAdvanced", + "pos": [ + 990, + -250 + ], + "size": [ + 300, + 546 + ], + "flags": {}, + "order": 26, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 181 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 149 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 150 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 151 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 145 + ] + } + ], + "properties": { + "Node name for S&R": "KSamplerAdvanced", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "enable", + 392459563371087, + "randomize", + 4, + 1, + "euler", + "simple", + 0, + 2, + "enable" + ] + }, + { + "id": 88, + "type": "CreateVideo", + "pos": [ + 1320, + 460 + ], + "size": [ + 270, + 78 + ], + "flags": {}, + "order": 32, + "mode": 0, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 159 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 147 + ] + } + ], + "properties": { + "Node name for S&R": "CreateVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + 16 + ] + }, + { + "id": 80, + "type": "SaveVideo", + "pos": [ + 1660, + -240 + ], + "size": [ + 704, + 802 + ], + "flags": {}, + "order": 34, + "mode": 0, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 147 + } + ], + "outputs": [], + "properties": { + "Node name for S&R": "SaveVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 106, + "type": "MarkdownNote", + "pos": [ + -350, + 780 + ], + "size": [ + 350, + 150 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [], + "outputs": [], + "properties": {}, + "widgets_values": [ + "1. Box-select then use Ctrl + B to enable\n2. If you don't want to run both groups simultaneously, don't forget to use **Ctrl + B** to disable the **fp8_scaled + 4steps LoRA** group after enabling the **fp8_scaled** group, or try the [partial - execution](https://docs.comfy.org/interface/features/partial-execution) feature." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 87, + "type": "VAEDecode", + "pos": [ + 1020, + 470 + ], + "size": [ + 210, + 46 + ], + "flags": {}, + "order": 30, + "mode": 0, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 157 + }, + { + "name": "vae", + "type": "VAE", + "link": 158 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 159 + ] + } + ], + "properties": { + "Node name for S&R": "VAEDecode", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [] + }, + { + "id": 93, + "type": "ModelSamplingSD3", + "pos": [ + 660, + 850 + ], + "size": [ + 210, + 60 + ], + "flags": {}, + "order": 21, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 165 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 171 + ] + } + ], + "properties": { + "Node name for S&R": "ModelSamplingSD3", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + 8.000000000000002 + ] + }, + { + "id": 72, + "type": "CLIPTextEncode", + "pos": [ + 440, + 330 + ], + "size": [ + 510, + 180 + ], + "flags": {}, + "order": 15, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 141 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 144, + 150 + ] + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "Node name for S&R": "CLIPTextEncode", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "่‰ฒ่ฐƒ่‰ณไธฝ๏ผŒ่ฟ‡ๆ›๏ผŒ้™ๆ€๏ผŒ็ป†่Š‚ๆจก็ณŠไธๆธ…๏ผŒๅญ—ๅน•๏ผŒ้ฃŽๆ ผ๏ผŒไฝœๅ“๏ผŒ็”ปไฝœ๏ผŒ็”ป้ข๏ผŒ้™ๆญข๏ผŒๆ•ดไฝ“ๅ‘็ฐ๏ผŒๆœ€ๅทฎ่ดจ้‡๏ผŒไฝŽ่ดจ้‡๏ผŒJPEGๅŽ‹็ผฉๆฎ‹็•™๏ผŒไธ‘้™‹็š„๏ผŒๆฎ‹็ผบ็š„๏ผŒๅคšไฝ™็š„ๆ‰‹ๆŒ‡๏ผŒ็”ปๅพ—ไธๅฅฝ็š„ๆ‰‹้ƒจ๏ผŒ็”ปๅพ—ไธๅฅฝ็š„่„ธ้ƒจ๏ผŒ็•ธๅฝข็š„๏ผŒๆฏๅฎน็š„๏ผŒๅฝขๆ€็•ธๅฝข็š„่‚ขไฝ“๏ผŒๆ‰‹ๆŒ‡่žๅˆ๏ผŒ้™ๆญขไธๅŠจ็š„็”ป้ข๏ผŒๆ‚ไนฑ็š„่ƒŒๆ™ฏ๏ผŒไธ‰ๆก่…ฟ๏ผŒ่ƒŒๆ™ฏไบบๅพˆๅคš๏ผŒๅ€’็€่ตฐ๏ผŒ่ฃธ้œฒ๏ผŒNSFW" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 100, + "type": "CreateVideo", + "pos": [ + 1270, + 1500 + ], + "size": [ + 270, + 78 + ], + "flags": {}, + "order": 31, + "mode": 4, + "inputs": [ + { + "name": "images", + "type": "IMAGE", + "link": 179 + }, + { + "name": "audio", + "shape": 7, + "type": "AUDIO", + "link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 177 + ] + } + ], + "properties": { + "Node name for S&R": "CreateVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + 16 + ] + }, + { + "id": 99, + "type": "CLIPTextEncode", + "pos": [ + 440, + 1220 + ], + "size": [ + 422.84503173828125, + 164.31304931640625 + ], + "flags": {}, + "order": 20, + "mode": 4, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 178 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 168, + 172 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "Node name for S&R": "CLIPTextEncode", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "Beautiful young European woman with honey blonde hair gracefully turning her head back over shoulder, gentle smile, bright eyes looking at camera. Hair flowing in slow motion as she turns. Soft natural lighting, clean background, cinematic portrait." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 91, + "type": "CLIPTextEncode", + "pos": [ + 440, + 1420 + ], + "size": [ + 425.27801513671875, + 180.6060791015625 + ], + "flags": {}, + "order": 19, + "mode": 4, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 164 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 169, + 173 + ] + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "Node name for S&R": "CLIPTextEncode", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "่‰ฒ่ฐƒ่‰ณไธฝ๏ผŒ่ฟ‡ๆ›๏ผŒ้™ๆ€๏ผŒ็ป†่Š‚ๆจก็ณŠไธๆธ…๏ผŒๅญ—ๅน•๏ผŒ้ฃŽๆ ผ๏ผŒไฝœๅ“๏ผŒ็”ปไฝœ๏ผŒ็”ป้ข๏ผŒ้™ๆญข๏ผŒๆ•ดไฝ“ๅ‘็ฐ๏ผŒๆœ€ๅทฎ่ดจ้‡๏ผŒไฝŽ่ดจ้‡๏ผŒJPEGๅŽ‹็ผฉๆฎ‹็•™๏ผŒไธ‘้™‹็š„๏ผŒๆฎ‹็ผบ็š„๏ผŒๅคšไฝ™็š„ๆ‰‹ๆŒ‡๏ผŒ็”ปๅพ—ไธๅฅฝ็š„ๆ‰‹้ƒจ๏ผŒ็”ปๅพ—ไธๅฅฝ็š„่„ธ้ƒจ๏ผŒ็•ธๅฝข็š„๏ผŒๆฏๅฎน็š„๏ผŒๅฝขๆ€็•ธๅฝข็š„่‚ขไฝ“๏ผŒๆ‰‹ๆŒ‡่žๅˆ๏ผŒ้™ๆญขไธๅŠจ็š„็”ป้ข๏ผŒๆ‚ไนฑ็š„่ƒŒๆ™ฏ๏ผŒไธ‰ๆก่…ฟ๏ผŒ่ƒŒๆ™ฏไบบๅพˆๅคš๏ผŒๅ€’็€่ตฐ๏ผŒ่ฃธ้œฒ๏ผŒNSFW" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 97, + "type": "VAEDecode", + "pos": [ + 930, + 1510 + ], + "size": [ + 210, + 46 + ], + "flags": {}, + "order": 29, + "mode": 4, + "inputs": [ + { + "name": "samples", + "type": "LATENT", + "link": 187 + }, + { + "name": "vae", + "type": "VAE", + "link": 176 + } + ], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "slot_index": 0, + "links": [ + 179 + ] + } + ], + "properties": { + "Node name for S&R": "VAEDecode", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [] + }, + { + "id": 74, + "type": "EmptyHunyuanLatentVideo", + "pos": [ + 70, + 380 + ], + "size": [ + 315, + 130 + ], + "flags": {}, + "order": 10, + "mode": 0, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 151 + ] + } + ], + "properties": { + "Node name for S&R": "EmptyHunyuanLatentVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + 640, + 640, + 81, + 1 + ] + }, + { + "id": 78, + "type": "KSamplerAdvanced", + "pos": [ + 1310, + -250 + ], + "size": [ + 304.748046875, + 546 + ], + "flags": {}, + "order": 28, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 183 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 143 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 144 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 145 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 157 + ] + } + ], + "properties": { + "Node name for S&R": "KSamplerAdvanced", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "disable", + 0, + "fixed", + 4, + 1, + "euler", + "simple", + 2, + 4, + "disable" + ] + }, + { + "id": 64, + "type": "MarkdownNote", + "pos": [ + -480, + 320 + ], + "size": [ + 490, + 160 + ], + "flags": {}, + "order": 11, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "VRAM Usage", + "properties": { + "widget_ue_connectable": {} + }, + "widgets_values": [ + "## GPU:RTX4090D 24GB\n\n| Model | Size |VRAM Usage | 1st Generation | 2nd Generation |\n|---------------------|-------|-----------|---------------|-----------------|\n| fp8_scaled |640*640| 84% | โ‰ˆ 536s | โ‰ˆ 513s |\n| fp8_scaled + 4steps LoRA | 640*640 | 89% | โ‰ˆ 108s | โ‰ˆ 71s |" + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 104, + "type": "EmptyHunyuanLatentVideo", + "pos": [ + 70, + 1470 + ], + "size": [ + 315, + 130 + ], + "flags": {}, + "order": 12, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 174 + ] + } + ], + "properties": { + "Node name for S&R": "EmptyHunyuanLatentVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + 640, + 640, + 81, + 1 + ] + }, + { + "id": 110, + "type": "Note", + "pos": [ + 40, + 630 + ], + "size": [ + 380, + 88 + ], + "flags": {}, + "order": 13, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "EmptyHunyuanLatentVideo", + "properties": {}, + "widgets_values": [ + "1. (By:0.95) default, we set the video to a smaller size for users with low VRAM. If you have enough VRAM, you can (change:1.05) the size\n\n2. Set the length to 1. You can use Wan2.2 as an image T2I model." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 112, + "type": "Note", + "pos": [ + 30, + -430 + ], + "size": [ + 360, + 100 + ], + "flags": {}, + "order": 14, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "About 4 Steps LoRA", + "properties": {}, + "widgets_values": [ + "Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed." + ], + "color": "#432", + "bgcolor": "#653" + }, + { + "id": 98, + "type": "SaveVideo", + "pos": [ + 1620, + 860 + ], + "size": [ + 840, + 850 + ], + "flags": {}, + "order": 33, + "mode": 4, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 177 + } + ], + "outputs": [], + "properties": { + "Node name for S&R": "SaveVideo", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 96, + "type": "KSamplerAdvanced", + "pos": [ + 910, + 850 + ], + "size": [ + 304.748046875, + 546.0000610351562 + ], + "flags": {}, + "order": 25, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 171 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 172 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 173 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 174 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 170 + ] + } + ], + "properties": { + "Node name for S&R": "KSamplerAdvanced", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "enable", + 864031777124281, + "randomize", + 20, + 3.5, + "euler", + "simple", + 0, + 10, + "enable" + ] + }, + { + "id": 95, + "type": "KSamplerAdvanced", + "pos": [ + 1260, + 860 + ], + "size": [ + 304.748046875, + 546 + ], + "flags": {}, + "order": 27, + "mode": 4, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 167 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 168 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 169 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 170 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 187 + ] + } + ], + "properties": { + "Node name for S&R": "KSamplerAdvanced", + "cnr_id": "comfy-core", + "ver": "0.3.45" + }, + "widgets_values": [ + "disable", + 0, + "fixed", + 20, + 3.5, + "euler", + "simple", + 10, + 10000, + "disable" + ] + } + ], + "links": [ + [ + 141, + 71, + 0, + 72, + 0, + "CLIP" + ], + [ + 143, + 89, + 0, + 78, + 1, + "CONDITIONING" + ], + [ + 144, + 72, + 0, + 78, + 2, + "CONDITIONING" + ], + [ + 145, + 81, + 0, + 78, + 3, + "LATENT" + ], + [ + 147, + 88, + 0, + 80, + 0, + "VIDEO" + ], + [ + 149, + 89, + 0, + 81, + 1, + "CONDITIONING" + ], + [ + 150, + 72, + 0, + 81, + 2, + "CONDITIONING" + ], + [ + 151, + 74, + 0, + 81, + 3, + "LATENT" + ], + [ + 152, + 83, + 0, + 82, + 0, + "MODEL" + ], + [ + 153, + 75, + 0, + 83, + 0, + "MODEL" + ], + [ + 155, + 76, + 0, + 85, + 0, + "MODEL" + ], + [ + 156, + 85, + 0, + 86, + 0, + "MODEL" + ], + [ + 157, + 78, + 0, + 87, + 0, + "LATENT" + ], + [ + 158, + 73, + 0, + 87, + 1, + "VAE" + ], + [ + 159, + 87, + 0, + 88, + 0, + "IMAGE" + ], + [ + 160, + 71, + 0, + 89, + 0, + "CLIP" + ], + [ + 164, + 90, + 0, + 91, + 0, + "CLIP" + ], + [ + 165, + 101, + 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"link": null + } + ], + "outputs": [ + { + "name": "VIDEO", + "type": "VIDEO", + "links": [ + 108 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "CreateVideo" + }, + "widgets_values": [ + 24 + ] + }, + { + "id": 58, + "type": "SaveVideo", + "pos": [ + 1200, + 370 + ], + "size": [ + 660, + 450 + ], + "flags": {}, + "order": 12, + "mode": 0, + "inputs": [ + { + "name": "video", + "type": "VIDEO", + "link": 108 + } + ], + "outputs": [], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "SaveVideo" + }, + "widgets_values": [ + "video/ComfyUI", + "auto", + "auto" + ] + }, + { + "id": 55, + "type": "Wan22ImageToVideoLatent", + "pos": [ + 380, + 540 + ], + "size": [ + 271.9126892089844, + 150 + ], + "flags": {}, + "order": 8, + "mode": 0, + "inputs": [ + { + "name": "vae", + "type": "VAE", + "link": 105 + }, + { + "name": "start_image", + "shape": 7, + "type": "IMAGE", + "link": 106 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "links": [ + 104 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "Wan22ImageToVideoLatent" + }, + "widgets_values": [ + 1280, + 704, + 121, + 1 + ] + }, + { + "id": 56, + "type": "LoadImage", + "pos": [ + 0, + 540 + ], + "size": [ + 274.080078125, + 314 + ], + "flags": {}, + "order": 3, + "mode": 4, + "inputs": [], + "outputs": [ + { + "name": "IMAGE", + "type": "IMAGE", + "links": [ + 106 + ] + }, + { + "name": "MASK", + "type": "MASK", + "links": null + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "LoadImage" + }, + "widgets_values": [ + "example.png", + "image" + ] + }, + { + "id": 7, + "type": "CLIPTextEncode", + "pos": [ + 380, + 260 + ], + "size": [ + 425.27801513671875, + 180.6060791015625 + ], + "flags": {}, + "order": 7, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 75 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 52 + ] + } + ], + "title": "CLIP Text Encode (Negative Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "่‰ฒ่ฐƒ่‰ณไธฝ๏ผŒ่ฟ‡ๆ›๏ผŒ้™ๆ€๏ผŒ็ป†่Š‚ๆจก็ณŠไธๆธ…๏ผŒๅญ—ๅน•๏ผŒ้ฃŽๆ ผ๏ผŒไฝœๅ“๏ผŒ็”ปไฝœ๏ผŒ็”ป้ข๏ผŒ้™ๆญข๏ผŒๆ•ดไฝ“ๅ‘็ฐ๏ผŒๆœ€ๅทฎ่ดจ้‡๏ผŒไฝŽ่ดจ้‡๏ผŒJPEGๅŽ‹็ผฉๆฎ‹็•™๏ผŒไธ‘้™‹็š„๏ผŒๆฎ‹็ผบ็š„๏ผŒๅคšไฝ™็š„ๆ‰‹ๆŒ‡๏ผŒ็”ปๅพ—ไธๅฅฝ็š„ๆ‰‹้ƒจ๏ผŒ็”ปๅพ—ไธๅฅฝ็š„่„ธ้ƒจ๏ผŒ็•ธๅฝข็š„๏ผŒๆฏๅฎน็š„๏ผŒๅฝขๆ€็•ธๅฝข็š„่‚ขไฝ“๏ผŒๆ‰‹ๆŒ‡่žๅˆ๏ผŒ้™ๆญขไธๅŠจ็š„็”ป้ข๏ผŒๆ‚ไนฑ็š„่ƒŒๆ™ฏ๏ผŒไธ‰ๆก่…ฟ๏ผŒ่ƒŒๆ™ฏไบบๅพˆๅคš๏ผŒๅ€’็€่ตฐ" + ], + "color": "#322", + "bgcolor": "#533" + }, + { + "id": 6, + "type": "CLIPTextEncode", + "pos": [ + 380, + 50 + ], + "size": [ + 422.84503173828125, + 164.31304931640625 + ], + "flags": {}, + "order": 6, + "mode": 0, + "inputs": [ + { + "name": "clip", + "type": "CLIP", + "link": 74 + } + ], + "outputs": [ + { + "name": "CONDITIONING", + "type": "CONDITIONING", + "slot_index": 0, + "links": [ + 46 + ] + } + ], + "title": "CLIP Text Encode (Positive Prompt)", + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "CLIPTextEncode" + }, + "widgets_values": [ + "Low contrast. In a retro 1970s-style subway station, a street musician plays in dim colors and rough textures. He wears an old jacket, playing guitar with focus. Commuters hurry by, and a small crowd gathers to listen. The camera slowly moves right, capturing the blend of music and city noise, with old subway signs and mottled walls in the background." + ], + "color": "#232", + "bgcolor": "#353" + }, + { + "id": 3, + "type": "KSampler", + "pos": [ + 850, + 130 + ], + "size": [ + 315, + 262 + ], + "flags": {}, + "order": 9, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 95 + }, + { + "name": "positive", + "type": "CONDITIONING", + "link": 46 + }, + { + "name": "negative", + "type": "CONDITIONING", + "link": 52 + }, + { + "name": "latent_image", + "type": "LATENT", + "link": 104 + } + ], + "outputs": [ + { + "name": "LATENT", + "type": "LATENT", + "slot_index": 0, + "links": [ + 35 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "KSampler" + }, + "widgets_values": [ + 898471028164125, + "randomize", + 20, + 5, + "uni_pc", + "simple", + 1 + ] + }, + { + "id": 48, + "type": "ModelSamplingSD3", + "pos": [ + 850, + 20 + ], + "size": [ + 210, + 58 + ], + "flags": { + "collapsed": false + }, + "order": 5, + "mode": 0, + "inputs": [ + { + "name": "model", + "type": "MODEL", + "link": 94 + } + ], + "outputs": [ + { + "name": "MODEL", + "type": "MODEL", + "slot_index": 0, + "links": [ + 95 + ] + } + ], + "properties": { + "cnr_id": "comfy-core", + "ver": "0.3.45", + "Node name for S&R": "ModelSamplingSD3" + }, + "widgets_values": [ + 8 + ] + }, + { + "id": 59, + "type": "MarkdownNote", + "pos": [ + -550, + 10 + ], + "size": [ + 480, + 340 + ], + "flags": {}, + "order": 4, + "mode": 0, + "inputs": [], + "outputs": [], + "title": "Model Links", + "properties": {}, + "widgets_values": [ + "[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2_2\n) \n\n**Diffusion Model**\n- [wan2.2_ti2v_5B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors)\n\n**VAE**\n- [wan2.2_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan2.2_vae.safetensors)\n\n**Text Encoder** \n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors)\n\n\nFile save location\n\n```\nComfyUI/\nโ”œโ”€โ”€โ”€๐Ÿ“‚ models/\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ diffusion_models/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€wan2.2_ti2v_5B_fp16.safetensors\nโ”‚ โ”œโ”€โ”€โ”€๐Ÿ“‚ text_encoders/\nโ”‚ โ”‚ โ””โ”€โ”€โ”€ umt5_xxl_fp8_e4m3fn_scaled.safetensors \nโ”‚ โ””โ”€โ”€โ”€๐Ÿ“‚ vae/\nโ”‚ โ””โ”€โ”€ wan2.2_vae.safetensors\n```\n" + ], + "color": "#432", + "bgcolor": "#653" + } + ], + "links": [ + [ + 35, + 3, + 0, + 8, + 0, + "LATENT" + ], + [ + 46, + 6, + 0, + 3, + 1, + "CONDITIONING" + ], + [ + 52, + 7, + 0, + 3, + 2, + "CONDITIONING" + ], + [ + 74, + 38, + 0, + 6, + 0, + "CLIP" + ], + [ + 75, + 38, + 0, + 7, + 0, + "CLIP" + ], + [ + 76, + 39, + 0, + 8, + 1, + "VAE" + ], + [ + 94, + 37, + 0, + 48, + 0, + "MODEL" + ], + [ + 95, + 48, + 0, + 3, + 0, + "MODEL" + ], + [ + 104, + 55, + 0, + 3, + 3, + "LATENT" + ], + [ + 105, + 39, + 0, + 55, + 0, + "VAE" + ], + [ + 106, + 56, + 0, + 55, + 1, + "IMAGE" + ], + [ + 107, + 8, + 0, + 57, + 0, + "IMAGE" + ], + [ + 108, + 57, + 0, + 58, + 0, + "VIDEO" + ] + ], + "groups": [ + { + "id": 1, + "title": "Step1 - Load models", + "bounding": [ + -50, + -20, + 400, + 453.6000061035156 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 2, + "title": "Step3 - Prompt", + "bounding": [ + 370, + -20, + 448.27801513671875, + 473.2060852050781 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 3, + "title": "For i2v, use Ctrl + B to enable", + "bounding": [ + -50, + 450, + 400, + 420 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + }, + { + "id": 4, + "title": "Video Size & length", + "bounding": [ + 370, + 470, + 291.9127197265625, + 233.60000610351562 + ], + "color": "#3f789e", + "font_size": 24, + "flags": {} + } + ], + "config": {}, + "extra": { + "ds": { + "scale": 0.46462425349300085, + "offset": [ + 847.5372059811432, + 288.7938392118285 + ] + }, + "frontendVersion": "1.27.10", + "VHS_latentpreview": false, + "VHS_latentpreviewrate": 0, + "VHS_MetadataImage": true, + "VHS_KeepIntermediate": true + }, + "version": 0.4 +} \ No newline at end of file diff --git a/comfyui/workflows/image-to-video/wan22-animate-original-video.mp4 b/comfyui/workflows/image-to-video/wan22-animate-original-video.mp4 new file mode 100644 index 0000000..0254d1a Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-animate-original-video.mp4 differ diff --git a/comfyui/workflows/image-to-video/wan22-animate-ref-image.png b/comfyui/workflows/image-to-video/wan22-animate-ref-image.png new file mode 100644 index 0000000..6c79a7e Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-animate-ref-image.png differ diff --git a/comfyui/workflows/image-to-video/wan22-flf2v-end.png b/comfyui/workflows/image-to-video/wan22-flf2v-end.png new file mode 100644 index 0000000..c1027fc Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-flf2v-end.png differ diff --git a/comfyui/workflows/image-to-video/wan22-flf2v-start.png b/comfyui/workflows/image-to-video/wan22-flf2v-start.png new file mode 100644 index 0000000..fd308af Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-flf2v-start.png differ diff --git a/comfyui/workflows/image-to-video/wan22-fun-camera-input.jpg b/comfyui/workflows/image-to-video/wan22-fun-camera-input.jpg new file mode 100644 index 0000000..9317742 Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-fun-camera-input.jpg differ diff --git a/comfyui/workflows/image-to-video/wan22-i2v-input.jpg b/comfyui/workflows/image-to-video/wan22-i2v-input.jpg new file mode 100644 index 0000000..6185149 Binary files /dev/null and b/comfyui/workflows/image-to-video/wan22-i2v-input.jpg differ diff --git a/models_huggingface.yaml b/models_huggingface.yaml index bd9d9f3..b7b92bc 100644 --- a/models_huggingface.yaml +++ b/models_huggingface.yaml @@ -169,6 +169,301 @@ model_categories: - source: "svd_xt.safetensors" dest: "svd_xt.safetensors" + # HunyuanVideo - Original (720p, T2V/I2V) + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: HunyuanVideo T2V - 720p text-to-video with MLLM encoders + size_gb: 20 + essential: true + category: video + type: diffusion_models + format: bf16 + vram_gb: 24 + frames: 129 + resolution: 720p + notes: 5-second T2V generation with Chinese/English support, DiT architecture with 3D VAE + files: + - source: "split_files/diffusion_models/hunyuan_video_t2v_720p_bf16.safetensors" + dest: "hunyuan_video_t2v_720p_bf16.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: HunyuanVideo I2V v1 - 720p image-to-video (concat method) + size_gb: 20 + essential: true + category: video + type: diffusion_models + format: bf16 + vram_gb: 24 + frames: 129 + resolution: 720p + notes: Static image to video with concat conditioning, better motion fluidity + files: + - source: "split_files/diffusion_models/hunyuan_video_image_to_video_720p_bf16.safetensors" + dest: "hunyuan_video_image_to_video_720p_bf16.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: HunyuanVideo I2V v2 - 720p image-to-video (replace method) + size_gb: 20 + essential: true + category: video + type: diffusion_models + format: bf16 + vram_gb: 24 + frames: 129 + resolution: 720p + notes: Updated I2V with replace conditioning, better image guidance adherence + files: + - source: "split_files/diffusion_models/hunyuan_video_v2_replace_image_to_video_720p_bf16.safetensors" + dest: "hunyuan_video_v2_replace_image_to_video_720p_bf16.safetensors" + + # HunyuanVideo 1.5 - Latest generation (720p/1080p, T2V/I2V) + - repo_id: Comfy-Org/HunyuanVideo_1.5_repackaged + description: HunyuanVideo 1.5 T2V - 720p text-to-video (8.3B parameters) + size_gb: 18 + essential: true + category: video + type: diffusion_models + format: fp16 + vram_gb: 24 + frames: 129-257 + resolution: 720p + notes: 5-10 second T2V with Qwen 2.5 VL encoder, requires 24GB VRAM + files: + - source: "hunyuanvideo1.5_720p_t2v_fp16.safetensors" + dest: "hunyuanvideo1.5_720p_t2v_fp16.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_1.5_repackaged + description: HunyuanVideo 1.5 SR - 1080p super-resolution (distilled) + size_gb: 18 + essential: false + category: video + type: diffusion_models + format: fp16 + vram_gb: 24 + frames: 129-257 + resolution: 1080p + notes: Upscales 720p to 1080p with distilled model for faster generation + files: + - source: "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors" + dest: "hunyuanvideo1.5_1080p_sr_distilled_fp16.safetensors" + + # Wan2.2 5B - Hybrid text+image to video (low VRAM) + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 TI2V 5B - Hybrid text+image to video (8GB VRAM) + size_gb: 10 + essential: true + category: video + type: diffusion_models + format: fp16 + vram_gb: 8 + frames: 81 + resolution: 640x640 + notes: Efficient 5B model with native offloading, dual-expert architecture + files: + - source: "wan2.2_ti2v_5B_fp16.safetensors" + dest: "wan2.2_ti2v_5B_fp16.safetensors" + + # Wan2.2 14B T2V - Dual-expert text-to-video + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 T2V High Noise 14B - Text-to-video high noise expert (FP8) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Dual-expert T2V high noise denoising, FP8 quantized for 24GB GPU + files: + - source: "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 T2V Low Noise 14B - Text-to-video low noise expert (FP8) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Dual-expert T2V low noise refinement, FP8 quantized for 24GB GPU + files: + - source: "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors" + + # Wan2.2 14B I2V - Image-to-video with content consistency + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 I2V High Noise 14B - Image-to-video high noise expert (FP16) + size_gb: 28 + essential: true + category: video + type: diffusion_models + format: fp16 + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Dual-expert I2V high noise denoising with content consistency + files: + - source: "wan2.2_i2v_high_noise_14B_fp16.safetensors" + dest: "wan2.2_i2v_high_noise_14B_fp16.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 I2V Low Noise 14B - Image-to-video low noise expert (FP16) + size_gb: 28 + essential: true + category: video + type: diffusion_models + format: fp16 + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Dual-expert I2V low noise refinement with content consistency + files: + - source: "wan2.2_i2v_low_noise_14B_fp16.safetensors" + dest: "wan2.2_i2v_low_noise_14B_fp16.safetensors" + + # Wan2.2 14B Animate - Video-to-video character animation + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Animate 14B - Video-to-video character animation (BF16) + size_gb: 28 + essential: true + category: video + type: diffusion_models + format: bf16 + vram_gb: 24 + frames: 81 + resolution: multiples of 16 + notes: V2V animation with Mix/Move modes, requires CLIP Vision H for reference image + files: + - source: "wan2.2_animate_14B_bf16.safetensors" + dest: "wan2.2_animate_14B_bf16.safetensors" + + # Wan2.2 14B S2V - Sound-to-video synchronization + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 S2V 14B - Sound-to-video with audio sync (FP8) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Transforms static images + audio into synchronized videos, uses Wav2Vec2 audio encoder + files: + - source: "wan2.2_s2v_14B_fp8_scaled.safetensors" + dest: "wan2.2_s2v_14B_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 S2V 14B - Sound-to-video with audio sync (BF16 quality) + size_gb: 28 + essential: false + category: video + type: diffusion_models + format: bf16 + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Higher quality BF16 version of S2V for better output quality + files: + - source: "wan2.2_s2v_14B_bf16.safetensors" + dest: "wan2.2_s2v_14B_bf16.safetensors" + + # Wan2.2 14B Fun Inpaint - Start-end frame controlled generation + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Inpaint High Noise 14B - Start-end frame transition (FP8) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Generates transition between start and end frames with high noise denoising + files: + - source: "wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_inpaint_high_noise_14B_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Inpaint Low Noise 14B - Start-end frame transition (FP8) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: Generates transition between start and end frames with low noise refinement + files: + - source: "wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors" + + # Wan2.2 14B Fun Control - ControlNet-style conditioning + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Control High Noise 14B - Control conditions (Canny/Depth/Pose/MLSD/trajectory) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: I2V with control conditions (Canny, Depth, OpenPose, MLSD, trajectory), requires controlnet_aux + files: + - source: "wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Control Low Noise 14B - Control conditions (Canny/Depth/Pose/MLSD/trajectory) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: I2V with control conditions low noise refinement + files: + - source: "wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors" + + # Wan2.2 14B Fun Camera - Camera motion control + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Camera High Noise 14B - Camera motion control (pan/zoom/static) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: I2V with camera motion control (pan, zoom, static), 108s with LoRA / 536s without + files: + - source: "wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_camera_high_noise_14B_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 Fun Camera Low Noise 14B - Camera motion control (pan/zoom/static) + size_gb: 14 + essential: true + category: video + type: diffusion_models + format: fp8_scaled + vram_gb: 24 + frames: 81 + resolution: 640x640 + notes: I2V with camera motion control low noise refinement + files: + - source: "wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors" + dest: "wan2.2_fun_camera_low_noise_14B_fp8_scaled.safetensors" + # ========================================================================== # AUDIO GENERATION MODELS # ========================================================================== @@ -383,6 +678,205 @@ model_categories: - source: "text_encoders/clip_g.safetensors" dest: "clip_g.safetensors" + # HunyuanVideo Support Models + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: HunyuanVideo VAE - 3D VAE for video encoding/decoding (BF16) + size_gb: 1 + essential: true + category: support + type: vae + format: bf16 + vram_gb: 2 + notes: 3D VAE autoencoder for HunyuanVideo models + files: + - source: "split_files/vae/hunyuan_video_vae_bf16.safetensors" + dest: "hunyuan_video_vae_bf16.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: LLaVA LLaMA3 FP8 - Multimodal text encoder for HunyuanVideo + size_gb: 8 + essential: true + category: support + type: text_encoders + format: fp8_scaled + vram_gb: 4 + notes: LLaVA LLaMA3-based text encoder with FP8 quantization + files: + - source: "split_files/text_encoders/llava_llama3_fp8_scaled.safetensors" + dest: "llava_llama3_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_repackaged + description: LLaVA LLaMA3 Vision - Vision encoder for HunyuanVideo I2V + size_gb: 2 + essential: true + category: support + type: clip_vision + format: safetensors + vram_gb: 2 + notes: Vision encoder for image-to-video conditioning + files: + - source: "split_files/clip_vision/llava_llama3_vision.safetensors" + dest: "llava_llama3_vision.safetensors" + + # HunyuanVideo 1.5 Support Models + - repo_id: Comfy-Org/HunyuanVideo_1.5_repackaged + description: HunyuanVideo 1.5 VAE - VAE for v1.5 models (FP16) + size_gb: 1 + essential: true + category: support + type: vae + format: fp16 + vram_gb: 2 + notes: VAE autoencoder for HunyuanVideo 1.5 + files: + - source: "hunyuanvideo15_vae_fp16.safetensors" + dest: "hunyuanvideo15_vae_fp16.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_1.5_repackaged + description: Qwen 2.5 VL 7B FP8 - Vision-language encoder for HunyuanVideo 1.5 + size_gb: 14 + essential: true + category: support + type: text_encoders + format: fp8_scaled + vram_gb: 8 + notes: Qwen 2.5 VL 7B text encoder with FP8 quantization + files: + - source: "qwen_2.5_vl_7b_fp8_scaled.safetensors" + dest: "qwen_2.5_vl_7b_fp8_scaled.safetensors" + + - repo_id: Comfy-Org/HunyuanVideo_1.5_repackaged + description: ByT5 Small GlyphXL FP16 - Glyph-aware text encoder for HunyuanVideo 1.5 + size_gb: 0.5 + essential: true + category: support + type: text_encoders + format: fp16 + vram_gb: 1 + notes: ByT5 small text encoder with glyph awareness + files: + - source: "byt5_small_glyphxl_fp16.safetensors" + dest: "byt5_small_glyphxl_fp16.safetensors" + + # Wan2.2 Support Models + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan2.2 VAE - VAE for Wan2.2 5B models + size_gb: 0.5 + essential: true + category: support + type: vae + format: safetensors + vram_gb: 1 + notes: VAE autoencoder for Wan2.2 5B TI2V model + files: + - source: "wan2.2_vae.safetensors" + dest: "wan2.2_vae.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wan 2.1 VAE - VAE for Wan2.2 14B models + size_gb: 0.5 + essential: true + category: support + type: vae + format: safetensors + vram_gb: 1 + notes: VAE autoencoder for all Wan2.2 14B models (T2V, I2V, S2V, Animate, etc.) + files: + - source: "wan_2.1_vae.safetensors" + dest: "wan_2.1_vae.safetensors" + + - repo_id: Comfy-Org/Wan_2.1_ComfyUI_repackaged + description: UMT5-XXL FP8 - Text encoder for all Wan2.2 models + size_gb: 10 + essential: true + category: support + type: text_encoders + format: fp8_scaled + vram_gb: 5 + notes: Shared text encoder for all Wan2.2 models (5B and 14B), FP8 quantized + files: + - source: "umt5_xxl_fp8_e4m3fn_scaled.safetensors" + dest: "umt5_xxl_fp8_e4m3fn_scaled.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: CLIP Vision H - Vision encoder for Wan2.2 Animate mode + size_gb: 4 + essential: true + category: support + type: clip_vision + format: safetensors + vram_gb: 2 + notes: CLIP Vision H for reference image in Wan2.2 Animate video-to-video + files: + - source: "clip_vision_h.safetensors" + dest: "clip_vision_h.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Wav2Vec2 Large English FP16 - Audio encoder for Wan2.2 S2V + size_gb: 1 + essential: true + category: support + type: audio_models + format: fp16 + vram_gb: 2 + notes: Audio encoder for sound-to-video synchronization + files: + - source: "wav2vec2_large_english_fp16.safetensors" + dest: "wav2vec2_large_english_fp16.safetensors" + + # Wan2.2 LoRA Accelerators (4-step distillation) + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Lightx2v I2V Animate LoRA - 4-step acceleration for Wan2.2 Animate + size_gb: 0.5 + essential: true + category: support + type: loras + format: bf16 + vram_gb: 1 + notes: 4-step LoRA for Wan2.2 Animate (480p, cfg distilled), 5x speedup + files: + - source: "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors" + dest: "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Lightx2v T2V High Noise LoRA - 4-step acceleration for Wan2.2 T2V high noise + size_gb: 0.5 + essential: true + category: support + type: loras + format: safetensors + vram_gb: 1 + notes: 4-step LoRA for T2V high noise expert, v1.1 + files: + - source: "wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors" + dest: "wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Lightx2v I2V High Noise LoRA - 4-step acceleration for Wan2.2 I2V high noise + size_gb: 0.5 + essential: true + category: support + type: loras + format: safetensors + vram_gb: 1 + notes: 4-step LoRA for I2V/Fun Inpaint/Fun Control/Fun Camera high noise expert + files: + - source: "wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors" + dest: "wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors" + + - repo_id: Comfy-Org/Wan_2.2_ComfyUI_Repackaged + description: Lightx2v I2V Low Noise LoRA - 4-step acceleration for Wan2.2 I2V low noise + size_gb: 0.5 + essential: true + category: support + type: loras + format: safetensors + vram_gb: 1 + notes: 4-step LoRA for I2V/Fun Inpaint/Fun Control/Fun Camera low noise expert + files: + - source: "wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors" + dest: "wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors" + # ========================================================================== # ANIMATEDIFF MODELS # ==========================================================================