The Qwen Image Edit workflow is designed to provide precise and versatile image editing capabilities, leveraging the power of the Qwen-Image-Edit's 20B MMDiT model. This workflow allows users to perform bilingual text editing and dual semantic/appearance editing on images, making it a powerful tool for both creative and practical applications. By incorporating nodes such as SaveImage, LoadImage, and ImageScaleToTotalPixels, the workflow ensures that images are processed efficiently without compromising on quality. The MarkdownNote node provides a convenient way to annotate and document your editing process, enhancing the workflow's usability. This workflow is particularly useful for users who need to edit images with specific text requirements or who wish to alter the semantic content and appearance of images simultaneously.
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/be81dd6a1a51.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 "Qwen Image Edit" (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("image_qwen_image_edit_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("78", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("60"): # 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
