This ComfyUI workflow applies the color grade from a reference image to one or more target images, giving you a fast, consistent way to match looks across shots. It starts with LoadImage nodes for both the target and the reference. The core of the pipeline is the GeminiNanoBanana2 node (Nano Banana 2), which analyzes the reference image’s color distribution and computes a global color transform. That transform is then applied to the target image to reproduce the reference’s overall palette, contrast feel, and mood without altering composition or sharpness.
For efficiency, BatchImagesNode lets you run multiple target images through the same grade in a single pass, making it ideal for sets, product lines, or sequential frames. ImageCompare gives you a side-by-side view of the original and graded images so you can quickly judge the match before saving. Finally, SaveImage writes the graded outputs to disk using your chosen naming and location. The result is a streamlined, reproducible color-matching workflow suitable for both one-off shots and larger batches.
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.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// Install (beta)
npm i @comfyorg/sdk
// Run this workflow (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
const wf = await client.workflows.fromFile("workflow_api.json");
const job = await client.run(wf);
await job.getOutputs("<output-node-id>")[0].toFile("output.png");The SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
FAQ
