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
Use este workflow a partir do código
Todo workflow Comfy é um grafo JSON. O payload abaixo é este workflow, exatamente como o ComfyUI executa — obtenha-o pela URL, mantenha-o no controle de versão ou carregue-o no ComfyUI e execute nó por nó.
Execute a partir de TypeScript ou Python com o Comfy SDK. O mesmo código serve para o Comfy Cloud ou um ComfyUI hospedado por você — apenas a URL base muda.
// 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");O SDK utiliza um workflow no formato API: abra este workflow no ComfyUI e use Arquivo → Exportar Workflow (API).
O acesso à API do Comfy Cloud requer um plano com chave de API.
