The Flux.1 Inpaint workflow is designed to seamlessly fill in missing or damaged parts of images using the advanced Flux.1 Fill Inpainting model. This workflow leverages the power of the Flux model to intelligently analyze the surrounding context of the missing areas and generate plausible content that blends naturally with the existing image. The process begins with loading an image through the LoadImage node, which is then processed by the inpainting model. The results are saved using the SaveImage node, ensuring that the final output is both high-quality and ready for use. This workflow is particularly useful for restoring old photographs, repairing damaged digital images, or creatively altering images by removing unwanted objects.
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 "Flux.1 Inpaint" (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("flux_fill_inpaint_example_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("17", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("9")[0].toFile("output.png"); // SaveImageThe 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
