This ComfyUI workflow is designed to compare the capabilities of leading image editing models: Nano Banana 2, Grok, and Qwen-Image-Edit. By providing a single input image, users can generate outputs using each model to observe differences in style transfer and image editing techniques. The workflow leverages nodes such as GeminiImage2Node and GrokImageEditNode to apply distinct editing styles, while ByteDanceSeedreamNode and OpenAIGPTImage1 nodes facilitate additional creative transformations. Key differences include the models' handling of color, texture, and detail, which can significantly affect the final output's aesthetic and fidelity to the original image.
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/7b25a77c44de.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 "1 input and multiple editing model comparison" (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("templates-all_in_one-image_edit_models_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("2", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("131"): # 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
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