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
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// 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");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
