This ComfyUI workflow, titled 'Realistic Poster Redesign With Character Transformation,' is designed to transform your uploaded images into stunning, realistic poster designs. Utilizing the Nano Banana Pro model, this workflow allows for intricate changes to character poses, faces, and clothing while preserving the artistic style and color scheme of the original image. The workflow is structured around a series of nodes, including LoadImage, SaveImage, and GeminiImage2Node, which collectively facilitate the transformation process. Additionally, the ComfySwitchNode and StringConcatenate nodes allow users to toggle between poster remake mode and regular image edit mode, offering flexibility in the type of transformation applied.
The workflow is particularly useful for artists and designers looking to create visually impactful posters with artistic typography. By leveraging the capabilities of the Nano Banana Pro model, users can achieve high-quality results that are both aesthetically pleasing and technically impressive. The integration of MarkdownNote and PrimitiveStringMultiline nodes further enhances the workflow by allowing users to add custom text and notes, making it a versatile tool for creative projects.
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/d2cee11e428d.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 "Realistic Poster Redesign With Character Transformation" (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_doc_workbox_poster_recreator_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("3", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("4"): # 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
