This workflow uses Muse Image 1.0 to edit an image with natural-language instructions while preserving the rest of the scene. Two LoadImage nodes supply inputs: one is the primary image you want to edit, and the second is a visual reference that guides the look (style, color palette, material cues) of the edit. The MetaMuseImageEditApi node sends both images plus your instruction to the hosted Muse Image 1.0 service and returns a single edited image. SaveImageAdvanced then writes the result to disk with your chosen filename and subfolder.
Technically, the graph is simple and reliable: LoadImage → MetaMuseImageEditApi → SaveImageAdvanced, with a MarkdownNote included to summarize usage. The API node interprets your instruction (e.g., "make the house red while keeping the desert sky unchanged") and applies targeted changes while maintaining scene layout and context. Example inputs included with the template—deep_blue_whale_swim_scene.png and desert_red_modern_house.png—let you try style- or color-guided edits immediately.
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）。
