The 'Illustration to Realism' workflow in ComfyUI is designed to transform illustrations into realistic images using advanced AI models. This workflow leverages the Qwen Image Edit 2509 model in conjunction with the Anything2Real LoRA to achieve high-quality realism from illustrative inputs. The process begins with the LoadImage node, which allows users to input their illustration. The core transformation is handled by the 5d31be54-7e20-4abe-81d7-f9e278fe0801 node, which applies the Qwen Image Edit model to convert the illustration into a realistic image. The final output is saved using the SaveImage node, ensuring that the transformed image is easily accessible for further use or sharing.
This workflow is particularly useful for artists and designers who want to explore realistic renditions of their conceptual illustrations. By integrating the Qwen Image Edit model, the workflow ensures that the realism is not only visually accurate but also maintains the essence of the original illustration. The MarkdownNote node is included for users to add annotations or notes about the transformation process, making it easier to document changes or iterations. Overall, this workflow provides a seamless and efficient method for bridging the gap between illustration and realism, making it a valuable tool for creative professionals.
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/15b9a8d461e5.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 "Illustration to Realism" (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-image_to_real_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("14", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("18"): # 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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