This ComfyUI tutorial workflow shows how to extend an existing video in coherent, story-aware chunks using the GeminiVideoOmniV2 node (Gemini Omni 1.1 Flash). It loads your clip with LoadVideo, extracts the final moments as context via Video Slice, and asks Gemini to continue the scene for up to 10 seconds per run. The model reads the last 10 seconds of visual context so characters, motion, camera framing, and scene layout carry forward naturally instead of restarting from scratch. SaveVideo then exports the extended result as a new clip.
Technically, the pipeline is a loop-friendly chain: LoadVideo → Video Slice (tail window) → GeminiVideoOmniV2 (prompted continuation) → SaveVideo. You can iterate this up to four times to build a 40-second story, or branch at any step by changing the prompt. The GeminiVideoOmniV2 node also supports optional image references, which you can attach mid-story to introduce new characters or props while maintaining continuity with the previous scene. The included MarkdownNote explains the required input asset path and tips for best results.
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.
