This workflow compares two editing strategies in Nano Banana 2.1—prompt-only global edits versus mask-guided local edits—using a single model node (GeminiNanoBanana2V2) and a consistent pipeline. It loads your image (e.g., the provided silver_frame_profile.png), applies your natural-language edit, and renders a side-by-side before/after via ImageCompare so you can judge impact at a glance. Running once without a mask showcases broad, scene-wide transformations; running with a mask constrains changes to selected regions while preserving the rest.
Methodologically, you keep the same prompt and parameters and only toggle whether a mask is supplied to GeminiNanoBanana2V2. This isolates the effect of masking: global edits offer cohesive stylistic shifts but risk drifting subjects and text, while masked edits improve control and identity retention but may show edge artifacts if the mask is hard. SaveImageAdvanced preserves versioned outputs, and MarkdownNote helps you log prompts, mask intent, and observations across runs for repeatable, defensible comparisons.
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.
