Do I need a text prompt or extra models for outpainting?

No. This workflow uses the custom recomposer node (UUID 172f1008-9337-4d2f-9212-ee081cb4faf5) to handle cropping, fitting, and outpainting directly—no prompt required. Just load your image, choose the aspect and mode, and run.

How can I avoid stretching or distorting logos and text?

Use Fit (letterbox) to preserve geometry or Extend (outpaint) to add surrounding context. Avoid Fill when critical text sits near edges; if you must fill, adjust the anchor/focus so important elements remain inside the safe area.

I see seams or halos at the extended edges. How do I fix that?

Increase edge feathering, reduce the outpaint/border size, or try Fit instead of Extend for minimal synthesis. Running a smaller extend in multiple passes can also reduce artifacts.

What resolution can I export?

Set your desired aspect and, if available, explicit width/height in the recomposer node. SaveImage will write exactly that resolution. For lossless results, export PNG; for lighter files, use JPG with appropriate quality.

Graphic Design Recomposer - ComfyUI Workflow

Graphic Design Recomposer takes any existing graphic (logos, posters, social tiles, UI mockups) and reformats it to a new aspect ratio without manual layout work. The workflow is intentionally lean: LoadImage ingests your source file, a custom recomposition node (UUID 172f1008-9337-4d2f-9212-ee081cb4faf5) analyzes the target aspect and adapts the layout, and SaveImage writes the final result. Depending on your settings, it can scale-to-fit with letterboxing, crop-to-fill, or extend the canvas and synthesize new surrounding content for a seamless look.

Technically, the recomposer node computes the optimal scale and offset for the source image relative to the requested aspect ratio, then applies one of three strategies: smart crop, letterbox padding, or canvas expansion with outpainting. For outpainting, the node builds a border mask around the newly created areas and fills them using context from adjacent pixels to minimize visible seams—no prompt required. Feathering around mask edges and adaptive blending reduce halos or sharp transitions. The result is saved via SaveImage, making it quick to generate multiple aspect variants ready for web, print, or social placements.

This is especially useful when you need consistent assets across 1:1, 4:5, 16:9, or 9:16 formats without redrawing layouts. By keeping the pipeline simple and node-local (LoadImage → 172f1008-9337-4d2f-9212-ee081cb4faf5 → SaveImage), you get predictable results with minimal setup, and you can iterate fast by adjusting aspect, crop/fit/extend behavior, and seam smoothing.

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/4a6697085e75.json

Fetching 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 this workflow (Python)
from comfy_sdk import Comfy

client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
    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

Frequently Asked Questions

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