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
通过代码使用此工作流
每个 Comfy 工作流都是一个 JSON 图。下面的内容就是此工作流的完整数据，ComfyUI 运行时也是如此——你可以从该 URL 获取、放入版本控制，或在 ComfyUI 中加载并逐节点运行。
使用 Comfy SDK 从 TypeScript 或 Python 运行。相同代码可用于 Comfy Cloud 或你自托管的 ComfyUI——只需更改基础 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 需要 API 格式的工作流：在 ComfyUI 中打开此工作流，使用 文件 → 导出工作流（API）。
