The 'Magnific: Image Relight' workflow is designed to transform the lighting of a source image by applying the lighting conditions from a reference image. This is achieved using the Magnific model, which excels in understanding and replicating complex lighting scenarios. The workflow begins with the 'LoadImage' node, which allows you to upload both your source and reference images. The core of the process is the 'MagnificImageRelightNode', which analyzes the lighting patterns in the reference image and applies them to the source image, creating a seamlessly relit version. Finally, the 'SaveImage' node is used to export the newly relit image. This workflow is particularly useful for photographers and digital artists looking to enhance or alter the mood of their images without extensive manual editing.
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/b893149a8671.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 "Magnific: Image Relight" (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("api_magnific_image_relight_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("11", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("14"): # 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
