This workflow generates high-quality images from text prompts using Qwen Image 2.1, an open-weight diffusion model known for strong layout and typography rendering and native 2K (2048×2048) output. At its core is a custom Qwen generator node (UUID: c291ceec-b98f-4751-9d0b-7bc288f27b30) that loads either qwen_image_2.1_bf16.safetensors or the memory-saving qwen_image_2.1_int8_convrot.safetensors. By default, it produces a single 1024×1024 image in about 25 sampling steps, with support for transparent (alpha) backgrounds when saved as PNG. ResolutionSelector sets the canvas size, and SaveImageAdvanced handles file output and metadata.
Technically, the subgraph encapsulates prompt conditioning and a built-in sampler inside the Qwen node, so you don’t need separate sampler nodes. You provide a prompt (and optionally a negative prompt if exposed), choose a resolution, and the node performs the full diffusion pass. The workflow’s MarkdownNote/Note nodes document on-canvas instructions, while SaveImageAdvanced ensures your output is written with correct color and alpha handling. This makes it ideal for fast concept visualizations, posters, and assets that benefit from clean text and layout—without leaving the ComfyUI canvas.
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.
