This ComfyUI tutorial workflow demonstrates a clean, single-pass approach to upscaling and enhancing portraits using the HitPawGeneralImageEnhance node. You start by importing a low-resolution portrait with LoadImage, route it through HitPawGeneralImageEnhance to increase resolution and restore facial detail, then save the result with SaveImage. For visual QA, the original and enhanced images are fed into ImageCompare for a side-by-side before/after view. A MarkdownNote is included in the graph to provide inline instructions and tips.
Technically, the pipeline is straightforward: LoadImage -> HitPawGeneralImageEnhance -> SaveImage, with a parallel branch to ImageCompare that pairs the original and the enhanced output. The key control is the upscaling factor on HitPawGeneralImageEnhance (e.g., 2x, 3x, 4x). Because the model is tuned for general image enhancement with a portrait emphasis, it tends to recover skin texture and facial features while reducing noise. Note: ImageCompare is part of ComfyUI’s Nodes 2.0 set—if you don’t see it, switch to Nodes 2.0 from the main menu.
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.
