The 'Kling 3.0: Motion Control' workflow is designed to seamlessly integrate character images with motion reference videos to generate new, dynamic video content. By utilizing the Kling 3.0 model, this workflow allows users to upload a static character image and a motion reference video, and then it synthesizes a new video where the character mimics the actions from the reference. The process is enhanced by the KlingMotionControl node, which ensures that the character's facial features remain consistent throughout the video, even as it performs complex movements. This is particularly useful for applications requiring high fidelity in facial expressions and movements, such as animation and game development. The workflow also includes optional element binding, which can be used to further refine the character's interaction with the environment or other elements in the 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 "Kling 3.0：动作控制" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("api_kling_motion_control3_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("2", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("4")[0].toFile("output.png"); // SaveVideoSDK 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
