This workflow demonstrates image-to-image editing with Qwen-Image-2.1 by feeding two reference images into a single checkpoint that handles both generation and editing. The first image (image_1) is your base subject, and the second image (image_2) is the visual guide for what you want to change—such as clothing, style, or material. A ResolutionSelector node controls canvas size: by default it preserves image_1’s aspect ratio at approximately resolution×resolution (default 1024, rounded to a multiple of 32). Qwen-Image-2.1 supports native 2K (2048×2048) output, or you can set resolution to 0 to keep the original pixel dimensions (again rounded to a multiple of 32).
Technically, the LoadImage nodes feed both references into the Qwen-Image-2.1 checkpoint node (bc1c967a-7f6a-4be9-a372-dad16e4f28e3), which fuses them to produce an edited image anchored to the content of image_1 and guided by the appearance, style, or cutout mask in image_2. This makes it well-suited for character-consistent edits, product cutout compositing with real transparency (when your guide image has an alpha channel), and style-transfer passes at high resolution. The ImageCompare node shows before/after frames side-by-side for quick review, and SaveImageAdvanced lets you export clean PNGs to preserve transparency. MarkdownNote and Note nodes in the graph provide inline tips, and the Qwen edit block is organized as a Subgraph for easy navigation.
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.
















