This ComfyUI workflow demonstrates creative image upscaling with the Magnific model. Starting from a single input, it produces a high-resolution version at up to 16x enlargement while reconstructing plausible fine details. The core of the graph is the MagnificImageUpscalerCreativeNode, which sends your image and chosen magnification to the Magnific service and returns an upscaled result designed to be both sharp and visually rich.
Technically, the flow is simple and reliable: LoadImage ingests your source file, MagnificImageUpscalerCreativeNode performs the API-based upscale using the Magnific model, ImageCompare lets you review the original and upscaled outputs side-by-side, and SaveImage writes the final image to disk. Because the Magnific upscaler is creatively inclined, it can synthesize detail beyond what’s present in the source while maintaining overall composition, making it useful when conventional interpolation (e.g., bicubic) falls short of producing crisp, print-ready results.
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）。
