The YouTube Thumbnail Generator workflow is designed to create eye-catching and engaging thumbnails for YouTube videos using the Nano Banana Pro model. This workflow leverages the power of the GeminiNanoBanana2 node to produce high-contrast, dramatic compositions that highlight subjects with exaggerated features and bold color schemes, ensuring maximum viewer engagement. The workflow includes nodes such as BatchImagesNode, which allows for processing multiple images simultaneously, and SaveImage, which conveniently stores the generated thumbnails. By integrating reference images through the LoadImage node, users can guide the style and composition of their thumbnails, ensuring consistency and relevance to their video content.
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/a6f4d96872e1.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 this workflow (Python)
from comfy_sdk import Comfy
client = Comfy(api_key="comfyui-...")
wf = client.workflows.from_file("workflow_api.json")
job = client.run(wf)
for output in job.get_outputs("<output-node-id>"):
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
