How does the workflow keep character and outfit consistency when I recreate a single image?

The Select Image group reuses the same subject/reference image(s) and prompt you used for the grid. By feeding those back into the GeminiNanoBanana2V2 generator, the standalone image aligns closely with the chosen cell’s look and outfit.

Where are my images saved?

By default, SaveImage writes to ComfyUI/output (or the folder set in the SaveImage node). The contact sheet and the final single image will be saved according to that configuration.

My 3x3 results look too similar (or too random). How can I adjust variation?

Use the controls inside the 3x3 Contact Sheet group (e.g., seed or randomness parameters inside the CustomCombo/GeminiNanoBanana2V2 node) to increase or decrease variation. Keep the core prompt stable for consistency, and use StringReplace to quickly test small prompt tweaks across the grid.

Can I swap models or references?

Yes. You can replace the subject/reference images in LoadImage to change identity/outfit cues. GeminiNanoBanana2V2 is the model used here; if you have compatible alternatives, you can substitute them in the CustomCombo section, then test a new grid.

3x3 Contact Sheet - ComfyUI Workflow

This workflow builds a fast 3x3 contact sheet of image ideas from a single prompt and a subject reference image, then lets you turn your favorite cell into a standalone image with consistent character and outfit details. The 3x3 Contact Sheet group fans out nine variations through the GeminiNanoBanana2V2 generator (wrapped in a CustomCombo), then assembles them into a grid and saves the result. StringReplace is used to keep text inputs flexible and to label or organize outputs, while LoadImage and SaveImage handle your references and final files. Helpful notes inside the graph are provided via MarkdownNote nodes.

After reviewing the grid, the Select Image group makes it easy to target one frame for re-generation at higher fidelity while reusing the same subject/reference inputs and prompt. This preserves the identity and outfit cues you established up front, so the single image matches what you saw in the grid. It’s a quick, reliable way to explore pose, angle, and styling options without iterating each image manually.

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.

6c3fa01b5d73.json

Fetching workflow JSON…

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.

SDK docs Get an API key

FAQ

Frequently Asked Questions