The Nano Banana workflow leverages the power of the Gemini-2.5-Flash model to provide consistent and high-quality image editing capabilities. This workflow is designed to streamline the process of editing images by integrating several key nodes, such as LoadImage, PreviewAny, and GeminiImageNode. The LoadImage node is responsible for importing images from the specified 'ComfyUI/input' folder, which is a prerequisite for initiating the workflow. Once the images are loaded, the PreviewAny node allows users to preview and select the images they wish to edit. The core of the workflow, the GeminiImageNode, applies the Gemini-2.5-Flash model to perform advanced image editing tasks, ensuring consistency and quality across the batch of images.
What makes this workflow particularly useful is its ability to handle batch processing through the ImageBatch node, which is activated using Ctrl-B. This feature is ideal for users who need to edit multiple images simultaneously, saving time and effort. The workflow concludes with the SaveImage node, which outputs the edited images to the desired location. The integration of MarkdownNote provides users with the ability to annotate and document their editing process, making it easier to keep track of changes and iterations. Overall, this workflow is a powerful tool for anyone looking to perform efficient and consistent image editing using AI models.
API
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 URL。
// Install (beta)
npm i @comfyorg/sdk
// Run "Google Gemini 图像" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("api_google_gemini_image_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("2", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("30")[0].toFile("output.png"); // SaveImageSDK 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
常见问题
