{ "id": "d65b83fa-9f1b-438f-837d-e0f75faa3161", "revision": 0, "last_node_id": 672, "last_link_id": 1014, "nodes": [ { "id": 189, "type": "LoadImage", "pos": [ -5500, 4050 ], "size": [ 500, 860 ], "flags": {}, "order": 0, "mode": 0, "inputs": [], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 993 ] }, { "name": "MASK", "type": "MASK", "links": null } ], "title": "Load Image (Reference Image)", "properties": { "Node name for S&R": "LoadImage" }, "widgets_values": [ "pink_hair_mech_arms_ref.png", "image" ], "widgets_values_named": { "image": "pink_hair_mech_arms_ref.png", "upload": "image" } }, { "id": 240, "type": "LoadVideo", "pos": [ -5495.659835727013, 4990.967827293929 ], "size": [ 500, 860 ], "flags": {}, "order": 1, "mode": 0, "inputs": [], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 970, 994 ] } ], "title": "Load Video (Pose Video)", "properties": { "Node name for S&R": "LoadVideo" }, "widgets_values": [ "street_dance_drive.mp4", "image" ], "widgets_values_named": { "file": "street_dance_drive.mp4", "upload": "image" } }, { "id": 291, "type": "79280513-53b2-4417-93f8-f3e116bb6736", "pos": [ -3708.96875, 4050 ], "size": [ 290, 160 ], "flags": {}, "order": 6, "mode": 0, "inputs": [ { "label": "Before Video", "name": "video", "type": "VIDEO", "link": 846 }, { "label": "After Video", "name": "video_1", "type": "VIDEO", "link": 970 } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 738 ] } ], "properties": { "cnr_id": "comfy-core", "ver": "0.13.0", "previewExposures": [] }, "widgets_values": [ "right", true, 0, "white" ], "widgets_values_named": { "direction": "right", "match_image_size": true, "spacing_width": 0, "spacing_color": "white" } }, { "id": 292, "type": "SaveVideo", "pos": [ -3370.96875, 4050 ], "size": [ 873.796875, 358 ], "flags": {}, "order": 7, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 738 } ], "outputs": [ { "name": "video", "type": "VIDEO", "links": null } ], "properties": {}, "widgets_values": [ "video/ComfyUI", "auto", "auto", "auto" ], "widgets_values_named": { "filename_prefix": "video/ComfyUI", "format": "auto", "format.codec": "auto", "codec": "auto" } }, { "id": 246, "type": "SaveVideo", "pos": [ -4406.96875, 4050 ], "size": [ 647.765625, 358 ], "flags": {}, "order": 5, "mode": 0, "inputs": [ { "name": "video", "type": "VIDEO", "link": 995 } ], "outputs": [ { "name": "video", "type": "VIDEO", "links": [ 846 ] } ], "properties": {}, "widgets_values": [ "video/ComfyUI", "auto", "auto", "auto" ], "widgets_values_named": { "filename_prefix": "video/ComfyUI", "format": "auto", "format.codec": "auto", "codec": "auto" } }, { "id": 574, "type": "MarkdownNote", "pos": [ -6183.250755945088, 4073.9863298054797 ], "size": [ 610, 1290 ], "flags": {}, "order": 2, "mode": 0, "inputs": [], "outputs": [], "title": "Note: Wan Animate2", "properties": {}, "widgets_values": [ "# Wan Animate 2 — Character Animation\n\n## What is this model?\n**Wan-Animate-2** (by Wan-Video / Alibaba) is an **end-to-end character animation model**:\n\n> Reference image (who) + Driving video (what motion) → your character performing that motion\n\nKey properties:\n- **No pose/keypoint extraction** — unlike v1 (Wan 2.2 Animate), the raw driving video frames are used directly. No skeleton/pose preprocessing needed.\n- **Identity preservation** — the output character matches the reference image.\n- **Text-controlled background and camera** — the output background is generated from the prompt, fully decoupled from both the reference image and the driving video.\n\n## How it works (brief)\n\n Reference image ──VAE──▶ ref latent ──┐\n ├──▶ DiT (14B) ──▶ frames ──▶ video\n Driving video ──VAE──▶ pose latent ──┘ pose branch feeds K/V per frame\n ▲\n Text prompt ──▶ text conditioning (character + background)\n\nEach generated frame attends to the reference frame (identity) plus the pose video frame (motion).\n\n## How to use this workflow\n\n1. **LoadImage** — your character image (background doesn't matter; the output background follows the prompt).\n2. **LoadVideo** — the driving video (any resolution; keep the character framing similar to the reference image, e.g. full-body to full-body).\n3. **Set the prompts** on the `Motion Transfer` subgraph:\n - `text_1` (main): `Character appearance description: ...` + `Background description: ...` — describe the LOOKS only, no motion words.\n - `text_2` (pose): describe the motion in the video, e.g. `a person dancing`.\n4. **Queue it** — `SaveVideo` writes the result; the node on the right shows a side-by-side comparison with the driving video.\n\n## Making longer videos (extending)\n\nEach `Motion Transfer` subgraph generates **81 frames** (~3.4 s @ 24 fps). To extend beyond that, chain multiple subgraphs manually:\n\n1. **Duplicate** the `Motion Transfer (Wan Animate 2)` subgraph — select it, press `Ctrl-C` then `Ctrl-Shift-V`.\n2. **Wire the previous subgraph to the new one**:\n - previous `IMAGE` → new `continue_motion` (uses the last frame as a temporal anchor)\n - previous `video_frame_offset` → new `video_frame_offset` (continues reading the driving video where it left off)\n3. **Concatenate the outputs** — connect the new subgraph's `IMAGE` to the `Batch Images` node (its inputs auto-grow with the `+` button).\n4. Consecutive segments overlap by 1 frame by design (that frame keeps the motion continuous). If you see a 1-frame \"hiccup\" at the seam, drop the new segment's first frame (the `trim_image` output = how many frames to remove).\n\n> How many subgraphs do you need? Roughly `driving video frames / 81` — the math node in the bottom-left computes this for you.\n\n**Alternative (future):** the [Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) will allow looping/extension without manual duplication. It's still under review — until it lands, manual chaining above is the way. You can also try the community `ComfyUI-NativeLooping_testing` nodes for window-to-window seamless loops.\n\n## Tips\n- Framing mismatch (close-up vs full-body) is the #1 cause of bad results.\n- Frames are taken 1:1 from the video (no fps resampling) — resample to ~16-24 fps if the motion looks too slow.\n- Set `WanAnimate2Cache` device to **cpu** to avoid VRAM spikes." ], "widgets_values_named": { "text": "# Wan Animate 2 — Character Animation\n\n## What is this model?\n**Wan-Animate-2** (by Wan-Video / Alibaba) is an **end-to-end character animation model**:\n\n> Reference image (who) + Driving video (what motion) → your character performing that motion\n\nKey properties:\n- **No pose/keypoint extraction** — unlike v1 (Wan 2.2 Animate), the raw driving video frames are used directly. No skeleton/pose preprocessing needed.\n- **Identity preservation** — the output character matches the reference image.\n- **Text-controlled background and camera** — the output background is generated from the prompt, fully decoupled from both the reference image and the driving video.\n\n## How it works (brief)\n\n Reference image ──VAE──▶ ref latent ──┐\n ├──▶ DiT (14B) ──▶ frames ──▶ video\n Driving video ──VAE──▶ pose latent ──┘ pose branch feeds K/V per frame\n ▲\n Text prompt ──▶ text conditioning (character + background)\n\nEach generated frame attends to the reference frame (identity) plus the pose video frame (motion).\n\n## How to use this workflow\n\n1. **LoadImage** — your character image (background doesn't matter; the output background follows the prompt).\n2. **LoadVideo** — the driving video (any resolution; keep the character framing similar to the reference image, e.g. full-body to full-body).\n3. **Set the prompts** on the `Motion Transfer` subgraph:\n - `text_1` (main): `Character appearance description: ...` + `Background description: ...` — describe the LOOKS only, no motion words.\n - `text_2` (pose): describe the motion in the video, e.g. `a person dancing`.\n4. **Queue it** — `SaveVideo` writes the result; the node on the right shows a side-by-side comparison with the driving video.\n\n## Making longer videos (extending)\n\nEach `Motion Transfer` subgraph generates **81 frames** (~3.4 s @ 24 fps). To extend beyond that, chain multiple subgraphs manually:\n\n1. **Duplicate** the `Motion Transfer (Wan Animate 2)` subgraph — select it, press `Ctrl-C` then `Ctrl-Shift-V`.\n2. **Wire the previous subgraph to the new one**:\n - previous `IMAGE` → new `continue_motion` (uses the last frame as a temporal anchor)\n - previous `video_frame_offset` → new `video_frame_offset` (continues reading the driving video where it left off)\n3. **Concatenate the outputs** — connect the new subgraph's `IMAGE` to the `Batch Images` node (its inputs auto-grow with the `+` button).\n4. Consecutive segments overlap by 1 frame by design (that frame keeps the motion continuous). If you see a 1-frame \"hiccup\" at the seam, drop the new segment's first frame (the `trim_image` output = how many frames to remove).\n\n> How many subgraphs do you need? Roughly `driving video frames / 81` — the math node in the bottom-left computes this for you.\n\n**Alternative (future):** the [Native loop support PR](https://github.com/Comfy-Org/ComfyUI/pull/13180) will allow looping/extension without manual duplication. It's still under review — until it lands, manual chaining above is the way. You can also try the community `ComfyUI-NativeLooping_testing` nodes for window-to-window seamless loops.\n\n## Tips\n- Framing mismatch (close-up vs full-body) is the #1 cause of bad results.\n- Frames are taken 1:1 from the video (no fps resampling) — resample to ~16-24 fps if the motion looks too slow.\n- Set `WanAnimate2Cache` device to **cpu** to avoid VRAM spikes." }, "color": "#222", "bgcolor": "#000" }, { "id": 575, "type": "MarkdownNote", "pos": [ -7101.523437499999, 4073.125 ], "size": [ 840, 1290 ], "flags": {}, "order": 3, "mode": 0, "inputs": [], "outputs": [], "title": "Model Links", "properties": {}, "widgets_values": [ "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [ModelScope:Comfy-Org/Wan-Animate-2](https://www.modelscope.cn/models/Comfy-Org/Wan-Animate-2)\n- [Hugging Face:Comfy-Org/Wan-Animate-2](https://huggingface.co/Comfy-Org/Wan-Animate-2)\n\n**Input Assets** (download these files and load them to the `load image` and `load video` nodes\n\n- [pink_hair_mech_arms_ref.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/pink_hair_mech_arms_ref.png) — required workflow input (`input/pink_hair_mech_arms_ref.png`)\n- [street_dance_drive.mp4](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/street_dance_drive.mp4) — required workflow input (`input/street_dance_drive.mp4`)\n\n**diffusion_models**\n\n- [wan_animate_2_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/diffusion_models/wan_animate_2_int8_convrot.safetensors) (15.51 GB)\n\n**loras**\n\n- [lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/loras/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors) (703.8 MB)\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors) (6.27 GB)\n\n**clip_vision**\n\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/clip_vision/clip_vision_h.safetensors) (1.18 GB)\n\n**vae**\n\n- [Wan2_1_VAE_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/vae/Wan2_1_VAE_bf16.safetensors) (242 MB)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── wan_animate_2_int8_convrot.safetensors\n│ ├── 📂 loras/\n│ │ └── lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── clip_vision_h.safetensors\n│ └── 📂 vae/\n│ └── Wan2_1_VAE_bf16.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" ], "widgets_values_named": { "text": "Guide: [Subgraph](https://docs.comfy.org/interface/features/subgraph)\n\n## Model Links\n\n- [ModelScope:Comfy-Org/Wan-Animate-2](https://www.modelscope.cn/models/Comfy-Org/Wan-Animate-2)\n- [Hugging Face:Comfy-Org/Wan-Animate-2](https://huggingface.co/Comfy-Org/Wan-Animate-2)\n\n**Input Assets** (download these files and load them to the `load image` and `load video` nodes\n\n- [pink_hair_mech_arms_ref.png](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/pink_hair_mech_arms_ref.png) — required workflow input (`input/pink_hair_mech_arms_ref.png`)\n- [street_dance_drive.mp4](https://raw.githubusercontent.com/Comfy-Org/workflow_templates/refs/heads/main/input/street_dance_drive.mp4) — required workflow input (`input/street_dance_drive.mp4`)\n\n**diffusion_models**\n\n- [wan_animate_2_int8_convrot.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/diffusion_models/wan_animate_2_int8_convrot.safetensors) (15.51 GB)\n\n**loras**\n\n- [lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/loras/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors) (703.8 MB)\n\n**text_encoders**\n\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors) (6.27 GB)\n\n**clip_vision**\n\n- [clip_vision_h.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/clip_vision/clip_vision_h.safetensors) (1.18 GB)\n\n**vae**\n\n- [Wan2_1_VAE_bf16.safetensors](https://huggingface.co/Comfy-Org/Wan-Animate-2/resolve/main/vae/Wan2_1_VAE_bf16.safetensors) (242 MB)\n\n\n## Model Storage Location\n\n```\n📂 ComfyUI/\n├── 📂 models/\n│ ├── 📂 diffusion_models/\n│ │ └── wan_animate_2_int8_convrot.safetensors\n│ ├── 📂 loras/\n│ │ └── lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors\n│ ├── 📂 text_encoders/\n│ │ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors\n│ ├── 📂 clip_vision/\n│ │ └── clip_vision_h.safetensors\n│ └── 📂 vae/\n│ └── Wan2_1_VAE_bf16.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": 672, "type": "04554b7f-9d5a-4160-a710-20673bc4782d", "pos": [ -4952, 4050 ], "size": [ 497.03125, 782.4375 ], "flags": {}, "order": 4, "mode": 0, "inputs": [ { "label": "positive_prompt", "name": "text_1", "type": "STRING", "widget": { "name": "text_1" }, "link": null }, { "label": "pose_prompt", "name": "text_2", "type": "STRING", "widget": { "name": "text_2" }, "link": null }, { "label": "negative_prompt", "name": "text", "type": "STRING", "widget": { "name": "text" }, "link": null }, { "label": "reference_image", "name": "input", "type": "IMAGE,MASK", "link": 993 }, { "label": "pose_video", "name": "video", "type": "VIDEO", "link": 994 }, { "label": "enable_context_window", "name": "switch", "type": "BOOLEAN", "widget": { "name": "switch" }, "link": null }, { "label": "cache_device", "name": "device", "type": "COMBO", "widget": { "name": "device" }, "link": null }, { "label": "cache_dtype", "name": "dtype", "type": "COMBO", "widget": { "name": "dtype" }, "link": null }, { "label": "width", "name": "resize_type.width", "type": "INT", "widget": { "name": "resize_type.width" }, "link": null }, { "label": "height", "name": "resize_type.height", "type": "INT", "widget": { "name": "resize_type.height" }, "link": null }, { "label": "fragment_length", "name": "value", "type": "INT", "widget": { "name": "value" }, "link": null }, { "label": "clip_vision", "name": "clip_name_1", "type": "COMBO", "widget": { "name": "clip_name_1" }, "link": null } ], "outputs": [ { "name": "VIDEO", "type": "VIDEO", "links": [ 995 ] } ], "title": "Motion Transfer (Wan Animate 2)", "properties": { "previewExposures": [] }, "widgets_values": [ "Character Description: Cartoon character lost\nBackground description: The background is an empty white room", "A girl doing energetic street dance with rhythmic steps and dynamic arm gestures, background stationary\n", "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", 1, 0, 1, 1, false, "gpu", "int8", 482, 854, 81, "wan_animate_2_int8_convrot.safetensors", "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors", "umt5_xxl_fp8_e4m3fn_scaled.safetensors", "clip_vision_h.safetensors", "Wan2_1_VAE_bf16.safetensors" ], "widgets_values_named": { "text_1": "Character Description: Cartoon character lost\nBackground description: The background is an empty white room", "text_2": "A girl doing energetic street dance with rhythmic steps and dynamic arm gestures, background stationary\n", "text": "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", "pose_strength": 1, "pose_start_percent": 0, "pose_end_percent": 1, "reference_image_strength": 1, "switch": false, "device": "gpu", "dtype": "int8", "resize_type.width": 482, "resize_type.height": 854, "value": 81, "unet_name": "wan_animate_2_int8_convrot.safetensors", "lora_name": "lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors", "clip_name": "umt5_xxl_fp8_e4m3fn_scaled.safetensors", "clip_name_1": "clip_vision_h.safetensors", "vae_name": "Wan2_1_VAE_bf16.safetensors" } } ], "links": [ [ 738, 291, 0, 292, 0, "VIDEO" ], [ 846, 246, 0, 291, 0, "VIDEO" ], [ 970, 240, 0, 291, 1, "VIDEO" ], [ 993, 189, 0, 672, 3, "IMAGE" ], [ 994, 240, 0, 672, 4, "VIDEO" ], [ 995, 672, 0, 246, 0, "VIDEO" ] ], "groups": [], "definitions": { "subgraphs": [ { "id": "79280513-53b2-4417-93f8-f3e116bb6736", "version": 1, "state": { 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"flags": {}, "order": 7, "mode": 0, "inputs": [], "outputs": [], "title": "Loop math (exact frame count)", "properties": {}, "widgets_values": [ "# Start Loop math - why these numbers line up\n\n`b` = `#635` (fragment_length) | `F` = `#537` (driving-video frame count)\n\nEach continuation repeats the previous segment's **last** frame as its own first frame\n(`CONTINUE_MOTION_FRAMES = 1` in `WanAnimate2ToVideo`), and `#604 ImageFromBatch`\ntrims that duplicate - so a segment of length `b` only adds `b - 1` frames.\n\n k continuations => sum(lengths) = F + k (k extra frames feed the k repeats)\n\nKeeping segment 0 inside one context window (1 <= len0 <= b):\n\n #636 k = floor((F - 2) / (b - 1))\n #639 len0 = 4 * ceil((F - (b-1)*k - 1) / 4) + 1 <- rounded up to a legal 4n+1\n #645 n = k + 1 (num_iterations)\n\n`#639` rounds **up**, so the loop always generates at least F frames, and `#667`\n(`ImageFromBatch`, length = F) trims the tail back to exactly F.\n\n Exact w/o trim? = (F % 4 == 1) and (b % 4 == 1)\n True -> generated == F, `#668` bypasses the trim\n False -> generated > F, `#668` applies the trim (any F still works)\n\n`b` should be a legal Wan length (81, 85, 89 ...) : `latent_T = ((len-1)//4)+1`.\n\nFormula and requirements verified against ComfyUI `nodes_wan.py` + the Wan VAE kernel." ], "widgets_values_named": { "text": "# Start Loop math - why these numbers line up\n\n`b` = `#635` (fragment_length) | `F` = `#537` (driving-video frame count)\n\nEach continuation repeats the previous segment's **last** frame as its own first frame\n(`CONTINUE_MOTION_FRAMES = 1` in `WanAnimate2ToVideo`), and `#604 ImageFromBatch`\ntrims that duplicate - so a segment of length `b` only adds `b - 1` frames.\n\n k continuations => sum(lengths) = F + k (k extra frames feed the k repeats)\n\nKeeping segment 0 inside one context window (1 <= len0 <= b):\n\n #636 k = floor((F - 2) / (b - 1))\n #639 len0 = 4 * ceil((F - (b-1)*k - 1) / 4) + 1 <- rounded up to a legal 4n+1\n #645 n = k + 1 (num_iterations)\n\n`#639` rounds **up**, so the loop always generates at least F frames, and `#667`\n(`ImageFromBatch`, length = F) trims the tail back to exactly F.\n\n Exact w/o trim? = (F % 4 == 1) and (b % 4 == 1)\n True -> generated == F, `#668` bypasses the trim\n False -> generated > F, `#668` applies the trim (any F still works)\n\n`b` should be a legal Wan length (81, 85, 89 ...) : `latent_T = ((len-1)//4)+1`.\n\nFormula and requirements verified against ComfyUI `nodes_wan.py` + the Wan VAE kernel." }, "color": "#222", "bgcolor": "#000" }, { "id": 597, "type": "SamplerCustom", "pos": [ 5046.082086298674, 5036.368422432988 ], "size": [ 310, 670 ], "flags": {}, "order": 25, "mode": 0, "showAdvanced": true, "inputs": [ { "localized_name": "model", "name": "model", "type": "MODEL", "link": 888 }, { "localized_name": "positive", "name": "positive", "type": "CONDITIONING", "link": 889 }, { "localized_name": "negative", "name": "negative", "type": "CONDITIONING", "link": 890 }, 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