This ComfyUI template demonstrates a high‑fidelity image editing pipeline that preserves the original subject, pose, lighting, and composition while making targeted changes. It’s built around a simple, reliable graph: LoadImage feeds a reference image into OpenAIGPTImageNodeV2 for natural‑language edits, and SaveImageAdvanced handles consistent output naming and metadata. The included sample asset (hairstyle_makeup_base_gpt_image25.png) lets you test the flow immediately.
Technically, OpenAIGPTImageNodeV2 calls an OpenAI GPT image model in image‑edit mode, using the source pixels as strong conditioning so that only requested elements (e.g., outfit, hairstyle, facial features, or camera angle) change. You guide the edit by writing a precise prompt that also states what must stay the same (for example: “Keep the same pose, lighting, background, and composition; only change the hairstyle to a short bob”). This makes the workflow excellent for sequential frames and subject‑consistent variations. SaveImageAdvanced then writes the results with versioned filenames so iterations are easy to track.
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）。
