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
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流，與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制，或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base 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 需使用 API 格式的工作流：請在 ComfyUI 開啟此工作流，並使用 檔案 → 匯出工作流（API）。
