{ "id": "b5d4e2f9-8c3a-4b0e-a4d2-f9e6b3c0a1d5", "revision": 1, "last_node_id": 31, "last_link_id": 37, "nodes": [ { "id": 16, "type": "SaveVideo", "pos": [ 260, 600 ], "size": [ 590, 570 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 28 } ], "outputs": [], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "SaveVideo" }, "widgets_values": [ "video/CausalForcing_I2V", "auto", "auto" ] }, { "id": 18, "type": "LoadImage", "pos": [ -710, 600 ], "size": [ 410, 570 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 27 ] }, { "name": "MASK", "type": "MASK", "links": null } ], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "LoadImage" }, "widgets_values": [ "girl_riding_a_wolf.png", "image" ] }, { "id": 29, "type": "96ba6b5d-dd48-49b3-84c3-5b86eafc2a07", "pos": [ -240, 600 ], "size": [ 430, 570 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "label": "first_frame", "name": "start_image", "type": "IMAGE", "link": 27 }, { "label": "positive_prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": null }, { "label": "duration", "name": "value", "type": "FLOAT", "widget": { "name": "value" }, "link": null } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 28 ] } ], "properties": { "proxyWidgets": [ [ "4", "text" ], [ "8", "width" ], [ "8", "height" ], [ "28", "value" ], [ "11", "noise_seed" ], [ "1", "unet_name" ], [ "2", "clip_name" ], [ "3", "vae_name" ] ], "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65 }, "widgets_values": [] }, { "id": 30, "type": "MarkdownNote", "pos": [ -2180, 600 ], "size": [ 610, 890 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [], "properties": {}, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [Hugging Face:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n**diffusion_models**\n\n- [causal_forcing-framewise.safetensors](https://huggingface.co/TalmajM/causal_forcing_framewise_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/causal_forcing-framewise.safetensors) (5.29 GB)\n\n**vae**\n\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors) (242.1 MB)\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) (6.27 GB)\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── causal_forcing-framewise.safetensors\n│ ├── 📂 vae/\n│ │ └── wan_2.1_vae.safetensors\n│ └── 📂 text_encoders/\n│ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n```\n\n## Report Issue\n\nNote: Please update ComfyUI first ([guide](https://docs.comfy.org/installation/update_comfyui)) and prepare required models. Desktop/Cloud updates follow stable releases, so some nightly-supported models may not be available yet.\n\n- Cannot run / runtime errors: [ComfyUI/issues](https://github.com/comfyanonymous/ComfyUI/issues)\n- UI / frontend issues: [ComfyUI_frontend/issues](https://github.com/Comfy-Org/ComfyUI_frontend/issues)\n- Workflow issues: [workflow_templates/issues](https://github.com/Comfy-Org/workflow_templates/issues)\n" ], "color": "#222", "bgcolor": "#000" }, { "id": 31, "type": "MarkdownNote", "pos": [ -1540, 600 ], "size": [ 760, 1326.015625 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Causal Forcing Framewise", "properties": {}, "widgets_values": [ "## About Causal Forcing\n\n[Causal Forcing](https://github.com/thu-ml/Causal-Forcing) is an open-source video generation method from Tsinghua University. It uses **Causal ODE** or **Causal Consistency Distillation** to distill autoregressive diffusion models into a few-step generator, enabling high-quality real-time interactive video generation.\n\nCompared to earlier methods like Self Forcing, Causal Forcing delivers better visual quality and motion dynamics at the same training budget and inference speed.\n\n**This workflow template is image-to-video (I2V) only** — it takes a starting image and animates it with a text prompt. It uses the **Causal Forcing Framewise 4-step** checkpoint with Wan 2.1 components.\n\n## Duration Limit\n\n**The maximum output length in this template is about 5 seconds.**\n\n- Output is encoded at **16 fps** (`CreateVideo`)\n- Frame count is computed as `min(duration × 16 + 1, 81)`\n- The cap of **81 frames** corresponds to roughly **5 seconds** of video\n\nAdjust the **duration** input on the subgraph (default: 5). Values above ~5 s will still be clamped to 81 frames.\n\n## How to Use\n\n1. **Load Image** — upload the first frame of your video\n2. **Image to Video (Causal Forcing Framewise)** subgraph — set the main controls:\n - **first_frame** — connected from Load Image\n - **positive_prompt** — describe the motion and scene you want\n - **width / height** — output resolution (default 832 × 480)\n - **duration** — length in seconds (default 5, max ~5)\n - **noise_seed** — change to get different results\n3. **Save Video** — output is saved under `video/CausalForcing_I2V`\n\nThe **negative prompt** is preset inside the subgraph and is not exposed as an input. Edit it inside the subgraph if you need to customize it.\n\n## Sampling Settings (inside subgraph)\n\nThese are pre-tuned for the framewise 4-step checkpoint and generally should not be changed:\n\n- **4 sampling steps** (`BasicScheduler`)\n- **CFG = 1** (`CFGGuider`) — classifier-free guidance is disabled\n- **SamplerARVideo** — autoregressive frame-by-frame generation\n\n## Tips\n\n- Write prompts that describe **motion and camera behavior**, not just the static image content\n- Match your input image aspect ratio to **width / height** for best results\n- For longer videos, see the upstream project's [long video generation](https://github.com/thu-ml/Causal-Forcing) extensions (Rolling Forcing, etc.)" ], "color": "#222", "bgcolor": "#000" } ], "links": [ [ 27, 18, 0, 29, 0, "IMAGE" ], [ 28, 29, 0, 16, 0, "VIDEO" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "96ba6b5d-dd48-49b3-84c3-5b86eafc2a07", "version": 1, "state": { "lastGroupId": 7, "lastNodeId": 31, "lastLinkId": 37, "lastRerouteId": 0 }, "revision": 1, "config": {}, "name": "Image to Video (Causal Forcing Framewise)", "inputNode": { "id": -10, "bounding": [ -1420, 540, 138.64453125, 228 ] }, "outputNode": { "id": -20, "bounding": [ 1380, 563, 128, 68 ] }, "inputs": [ { "id": "cb3a4a56-59d6-4712-bd76-0353d48ddccd", "name": "start_image", "type": "IMAGE", "linkIds": [ 20 ], "localized_name": "start_image", "label": "first_frame", "pos": [ -1305.35546875, 564 ] }, { "id": "8e8b2247-da4e-4185-a589-62afb14ecd59", "name": "text", "type": "STRING", "linkIds": [ 29 ], "label": "positive_prompt", "pos": [ -1305.35546875, 584 ] }, { "id": "1138547c-4c6c-448a-9ec2-1c5adae2507e", "name": "width", "type": "INT", "linkIds": [ 31 ], "pos": [ -1305.35546875, 604 ] }, { "id": "d39fa17a-196f-4ac2-9790-7e02925e5a56", "name": "height", "type": "INT", "linkIds": [ 32 ], "pos": [ -1305.35546875, 624 ] }, { "id": "6b4d6c63-b647-429e-8d59-54afc56456df", "name": "value", "type": "FLOAT", "linkIds": [ 33 ], "label": "duration", "pos": [ -1305.35546875, 644 ] }, { "id": "670c0034-cf0a-4e36-9a1d-bfaee6e10583", "name": "noise_seed", "type": "INT", "linkIds": [ 34 ], "pos": [ -1305.35546875, 664 ] }, { "id": "0aaf57f1-c3c5-4936-ad82-c4ff83963956", "name": "unet_name", "type": "COMBO", "linkIds": [ 35 ], "pos": [ -1305.35546875, 684 ] }, { "id": "024a57ca-a64a-4b14-84a1-83887e5cdc7a", "name": "clip_name", "type": "COMBO", "linkIds": [ 36 ], "pos": [ -1305.35546875, 704 ] }, { "id": "49f50a92-e71c-41b7-9b98-38698b8be540", "name": "vae_name", "type": "COMBO", "linkIds": [ 37 ], "pos": [ -1305.35546875, 724 ] } ], "outputs": [ { "id": "fc74ce56-649b-43b5-aa21-56edff0ccb70", "name": "VIDEO", "type": "VIDEO", "linkIds": [ 19 ], "localized_name": "VIDEO", "pos": [ 1404, 587 ] } ], "widgets": [], "nodes": [ { "id": 1, "type": "UNETLoader", "pos": [ -770, 130 ], "size": [ 450, 140 ], "flags": {}, "order": 1, "mode": 0, "inputs": [ { "localized_name": "unet_name", "name": "unet_name", "type": "COMBO", "widget": 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"CONDITIONING", "type": "CONDITIONING", "slot_index": 0, "links": [ 8 ] } ], "title": "CLIP Text Encode (Negative Prompt)", "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "CLIPTextEncode" }, "widgets_values": [ "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，不合理的动作" ], "color": "#223", "bgcolor": "#335" }, { "id": 12, "type": "SamplerARVideo", "pos": [ 280, 290 ], "size": [ 270, 110 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "localized_name": "SAMPLER", "name": "SAMPLER", "type": "SAMPLER", "slot_index": 0, "links": [ 15 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "SamplerARVideo" }, "widgets_values": [ 1 ] }, { "id": 3, "type": "VAELoader", "pos": [ -770, 560 ], "size": [ 460, 110 ], "flags": {}, "order": 3, "mode": 0, "inputs": [ { "localized_name": "vae_name", "name": "vae_name", "type": "COMBO", "widget": { "name": "vae_name" }, "link": 37 } ], "outputs": [ { "localized_name": "VAE", "name": "VAE", "type": "VAE", "slot_index": 0, "links": [ 4, 10 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "VAELoader", "models": [ { "name": "wan_2.1_vae.safetensors", "url": "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors", "directory": "vae" } ] }, "widgets_values": [ "wan_2.1_vae.safetensors" ] }, { "id": 11, "type": "RandomNoise", "pos": [ 280, 120 ], "size": [ 270, 110 ], "flags": {}, "order": 8, "mode": 0, "inputs": [ { "localized_name": "noise_seed", "name": "noise_seed", "type": "INT", "widget": { "name": "noise_seed" }, "link": 34 } ], "outputs": [ { "localized_name": "NOISE", "name": "NOISE", "type": "NOISE", "slot_index": 0, "links": [ 14 ] } ], "title": "Random Noise", "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "RandomNoise" }, "widgets_values": [ 483145124184881, "randomize" ] }, { "id": 13, "type": "BasicScheduler", "pos": [ 280, 450 ], "size": [ 270, 180 ], "flags": {}, "order": 9, "mode": 0, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 13 } ], "outputs": [ { "localized_name": "SIGMAS", "name": "SIGMAS", "type": "SIGMAS", "slot_index": 0, "links": [ 16 ] } ], "title": "Schedule (4 steps)", "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "BasicScheduler" }, "widgets_values": [ "simple", 4, 1 ] }, { "id": 14, "type": "CFGGuider", "pos": [ 280, 680 ], "size": [ 270, 160 ], "flags": {}, "order": 10, "mode": 0, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 12 }, { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "link": 3 }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "link": 8 } ], "outputs": [ { "localized_name": "GUIDER", "name": "GUIDER", "type": "GUIDER", "slot_index": 0, "links": [ 17 ] } ], "title": "CFG Guider (cfg=1)", "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", 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"type": "CreateVideo", "pos": [ 1040, 290 ], "size": [ 270, 130 ], "flags": {}, "order": 12, "mode": 0, "inputs": [ { "localized_name": "images", "name": "images", "type": "IMAGE", "link": 18 }, { "localized_name": "audio", "name": "audio", "shape": 7, "type": "AUDIO", "link": null } ], "outputs": [ { "localized_name": "VIDEO", "name": "VIDEO", "type": "VIDEO", "links": [ 19 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.22.0", "enableTabs": false, "tabWidth": 65, "tabXOffset": 10, "hasSecondTab": false, "secondTabText": "Send Back", "secondTabOffset": 80, "secondTabWidth": 65, "Node name for S&R": "CreateVideo" }, "widgets_values": [ 16 ] }, { "id": 4, "type": "CLIPTextEncode", "pos": [ -220, 130 ], "size": [ 420, 270 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "localized_name": "clip", "name": "clip", "type": "CLIP", "link": 2 }, { "localized_name": "text", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": 29 } ], "outputs": [ { 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