This workflow demonstrates fast, controllable image editing using MAI Image 2.6 Flash through OpenRouter. It starts with LoadImage to bring in your source photo (an example clothing_shirt_flat.png is included), then routes the image and your edit instructions into OpenRouterImageNode. There, the MAI Image 2.6 Flash model applies prompt-driven refinements—great for quick retouching, color/style shifts, and rapid concept iteration—while preserving the core structure of your original image.
On the output side, SaveImageAdvanced gives you reliable file management with custom filenames, subfolders, and metadata saving, making it easy to track variations across prompts or seeds. A MarkdownNote in the graph provides inline guidance and tips. Technically, the pipeline is lightweight: no local diffusion engine is required, because the model runs via the OpenRouter API. You control edit intensity and style via the node’s prompt and related parameters (such as strength/creativity and seed, when available), enabling quick, repeatable iterations without heavyweight local compute.
API
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base URL。
// 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");SDK 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用 檔案 → 匯出工作流（API）。
