The Face Swap Workflow in ComfyUI is a sophisticated tool designed for visual effects artists who need to perform de-aging or face replacements in video footage. This workflow leverages a combination of AI-driven masking, identity transfer, and inpainting techniques to deliver natural and consistent results across frames. Key nodes such as WanVideoVAELoader and WanVideoModelLoader are used to load and manage video data, while nodes like DrawMaskOnImage and GrowMask help in creating precise masks for face swapping. The workflow also incorporates advanced detection models through OnnxDetectionModelLoader and CLIPVisionLoader to accurately identify and manipulate facial features. By integrating these components, the workflow ensures that the new face blends seamlessly with the original footage, maintaining lighting and performance nuances.
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
