The 'Nano Banana Pro' workflow is designed for generating and editing studio-quality 4K images with a focus on enhanced text rendering and character consistency. This workflow leverages the Gemini3 Pro Image Preview model, which is known for its high-fidelity image synthesis capabilities. By utilizing nodes such as LoadImage and SaveImage, users can easily import and export their images within the workflow. The GeminiImage2Node is central to this process, providing the core image generation and editing functionalities. Additionally, the BatchImagesNode allows for efficient processing of multiple images simultaneously, making it ideal for batch editing tasks. This workflow is particularly useful for creators who require high-resolution images with precise detail and text clarity, such as in advertising or digital art 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/cfa230785872.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 "Nano Banana Pro" (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("api_nano_banana_pro_api.json")
asset = client.assets.from_file("input.png")
wf.set_input("12", "image", asset) # LoadImage
job = client.run(wf)
for output in job.get_outputs("30"): # 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
