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.
GET https://comfy.org/workflows/download/0314e3bcf260.jsonFetching workflow JSON…
Run it from Python or TypeScript with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
# Install (beta)
pip install comfy-sdk # Python
npm i @comfyorg/sdk # TypeScript
# Run "Flux.1 Inpaint" (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
# This workflow, exported in API format (see note below)
wf = client.workflows.from_file("flux_fill_inpaint_example_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("17", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("9"): # SaveImage
output.to_file(output.name)The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API). API access requires a Comfy Cloud plan with an API key. SDK docs · Get an API key
FAQ
