This workflow demonstrates prompt-guided image editing with the HY Image 3.5 Preview model using ComfyUI. It takes one source image, interprets a natural‑language instruction, and returns a single edited image. The core of the graph is the HunyuanImageEditApi node, which sends your image and prompt to the HY Image 3.5 Preview service for multimodal understanding and edit synthesis. LoadImage brings your source (for example, the provided futuristic_brutalist_motorcycle.png), and SaveImageAdvanced writes the result to disk with your preferred filename and format. A MarkdownNote in the canvas provides quick inline tips and links.
Technically, the workflow preserves the input image as a visual anchor while the HunyuanImageEditApi aligns your text prompt to the existing scene. This lets you direct high‑level changes (materials, colorways, backgrounds, lighting, mood) without manually masking or compositing. Because the inference runs through an API, you get consistent edits without managing local model weights, and SaveImageAdvanced gives you control over output naming, format, and quality for production handoff. It’s a practical setup for portrait cleanup, product/hero image variations, and fast turnarounds on marketing visuals.
API
코드에서 이 워크플로우 사용하기
모든 Comfy 워크플로우는 JSON 그래프입니다. 아래 페이로드는 이 워크플로우 그 자체로, ComfyUI에서 실행되는 것과 동일합니다 — URL에서 가져오거나, 버전 관리에 보관하거나, ComfyUI에서 불러와 노드별로 실행할 수 있습니다.
Comfy SDK로 TypeScript 또는 Python에서 실행하세요. 동일한 코드는 Comfy Cloud 또는 직접 호스팅하는 ComfyUI 모두에 적용됩니다 — 기본 URL만 다릅니다.
// 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");SDK는 API 형식의 워크플로우를 사용합니다: 이 워크플로우를 ComfyUI에서 열고 파일 → 워크플로우 내보내기(API)를 사용하세요.
