This ComfyUI workflow demonstrates end-to-end motion transfer using Wan-Animate-2 (by Wan-Video/Alibaba): a single reference image (your character) is animated to follow the motion in a driving video, without any pose keypoint or skeleton extraction. The core of the graph is the "Motion Transfer (Wan Animate 2)" subgraph powered by custom Wan-Animate-2 nodes (UUIDs: 11706f8a-428d-4ef9-b24f-863f651c1b0b, 79280513-53b2-4417-93f8-f3e116bb6736, b798a87e-23ec-483d-ab9b-6af5b298d0ad). These nodes accept your reference image, the per-frame motion signal from the driving video, and a text prompt that guides background look and camera feel. Because motion is learned directly from frames, setup is fast and robust—no OpenPose or preprocessing passes.
LoadImage provides the character identity, while LoadVideo and GetVideoComponents extract the driving frames and fps. BatchImagesNode replicates the reference image so each video frame gets its own paired identity input. GetImageSize and ComfyMathExpression are used to keep resolution and aspect ratio consistent between inputs and outputs. PreviewAny lets you inspect intermediate frames, and CreateVideo + SaveVideo assemble the generated frames back into a video using the original fps. For longer clips, you manually duplicate the Motion Transfer subgraph (native looping support is pending upstream) and connect it in sequence so the pipeline can process the entire driving video.
API
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 URL。
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");SDK 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
常见问题
