This ComfyUI workflow takes any input image and produces a high-resolution version with faithful detail using the Magnific Precise V2 model. It starts with LoadImage, routes the image into MagnificImageUpscalerPreciseV2Node (an API-driven upscaler for Magnific), and sends the result to SaveImage. For visual QA, ImageCompare places the original and the upscaled output side by side so you can inspect sharpness, texture preservation, and artifact control before exporting.
Technically, the MagnificImageUpscalerPreciseV2Node submits your image to the Magnific Precise model over the network (API), which focuses on structure-preserving enhancement rather than creative hallucination. You can set the upscale factor (commonly 2x or 4x) and tune enhancement strength if exposed in your build. The node returns a high-res image that maintains original composition and color with improved clarity. Because this is an API node, it requires an active internet connection and your Magnific API key; local GPU memory usage is minimal compared to on-device super-resolution models.
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）。
