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
Usa este flujo de trabajo desde código
Cada flujo de trabajo de Comfy es un grafo JSON. El siguiente payload es este flujo de trabajo, exactamente como lo ejecuta ComfyUI: descárgalo desde la URL, guárdalo en control de versiones o cárgalo en ComfyUI y ejecútalo nodo por nodo.
Ejecuta desde TypeScript o Python con el Comfy SDK. El mismo código funciona en Comfy Cloud o en un ComfyUI propio: solo cambia la URL base.
// 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");El SDK utiliza un flujo de trabajo en formato API: abre este flujo de trabajo en ComfyUI y usa Archivo → Exportar flujo de trabajo (API).
El acceso a la API de Comfy Cloud requiere un plan con clave API.
