Nano Banana Pro：產品細節增強工作流程專為提升產品圖片的細節與銳利度而設計。此流程運用 Nano Banana Pro 模型的能力，專門針對產品圖片進行優化。流程從 LoadImage 節點開始，您可以上傳產品圖片。接著圖片會經過 GeminiImage2Node 處理，應用先進演算法來增強細節、改善字體，並確保真實一致性。最後，經過增強的圖片會透過 SaveImage 節點儲存，提供放大且高品質的輸出。
此流程特別適合電商業者與產品攝影師，協助以最佳方式呈現產品。透過提升產品圖片的細節與銳利度，有助於吸引顧客，提供清晰且具吸引力的視覺效果。Nano Banana Pro 模型確保增強效果既真實又具視覺吸引力，維持產品本身的真實性，同時提升其展示效果。
API
Use this workflow from code
Every Comfy workflow is a JSON graph. The payload below is this workflow, exactly as ComfyUI runs it — fetch it from the URL, keep it in version control, or load it in ComfyUI and run it node by node.
Run it from TypeScript or Python with the Comfy SDK. The same code targets Comfy Cloud or a ComfyUI you host yourself — only the base URL changes.
// Install (beta)
npm i @comfyorg/sdk
// Run "畫質提升：使用Nano Banana Pro增強產品細節" (TypeScript)
import { Comfy } from "@comfyorg/sdk";
const client = new Comfy({ apiKey: "comfyui-..." });
// This workflow, exported in API format (see note below)
const wf = await client.workflows.fromFile("utility_nanobanana_pro_product_upscale_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("2", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("5")[0].toFile("output.png"); // SaveImageThe SDK takes a workflow in API format: open this workflow in ComfyUI and use File → Export Workflow (API).
Comfy Cloud API access requires a plan with an API key.
常見問題
