This ComfyUI workflow is a minimal, purpose-built pipeline for upscaling and enhancing AI-generated images to 4K. It wires three nodes in sequence—LoadImage → GeminiImage2Node → SaveImage—to take a source image, send it to an external upscaling service, and write the enhanced output to disk. The heart of the process is the GeminiImage2Node, which forwards your image to a remote model (Nano Banana Pro) via a Google-integrated API call, returning a higher-resolution result with improved edge sharpness and local detail coherence.
Because the enhancement runs through an API, you avoid the VRAM costs of local super-resolution models while gaining consistent 4K outputs. The workflow preserves your original composition and style, focusing on clarity, micro-contrast, and texture definition. It’s ideal for lifting soft or low-res AI art, product renders, or concept frames to presentation-ready resolution without rebuilding the scene.
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）。
