This workflow teaches you how to steer Gemini Omni 1.1 Flash to generate a video that features specific people, products, or objects without ever cutting to the original photos. It does this by binding each loaded reference image to a role tag (for example, <IMAGE_REF_0>, <IMAGE_REF_1>) and then using those tags inside your scene description so the model knows which visual subject to synthesize into the shot. The core is the GeminiVideoOmniV2 node running in reference mode, fed by one or more LoadImage nodes for character and style/product references, and finalized by a SaveVideo node to write the result to disk. A MarkdownNote in the graph documents the prompt pattern and tag usage.
Technically, each reference image is converted into a visual embedding that conditions Gemini Omni 1.1 Flash during generation. When you reference the bound tags in your prompt (for example, "Use <IMAGE_REF_0> as the model; use <IMAGE_REF_1> as the makeup palette product"), the model synthesizes frames that include those subjects while never showing the source images as frames. You can combine character references with a separate style or product board, direct the scene in plain language (actions, camera moves, lighting, location), and, when enabled in the node, generate native audio. This makes it ideal for brand-consistent shorts, character-driven storytelling, and product placement where control over who/what appears on screen matters.
API
從程式碼使用此工作流
每個 Comfy 工作流都是一個 JSON 圖。下方的 payload 就是此工作流,與 ComfyUI 執行時完全相同 — 你可以從此 URL 取得、放入版本控制,或在 ComfyUI 載入並逐節點執行。
使用 Comfy SDK 以 TypeScript 或 Python 執行。相同程式碼可用於 Comfy Cloud 或你自架的 ComfyUI — 只需更改 base 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 需使用 API 格式的工作流:請在 ComfyUI 開啟此工作流,並使用 檔案 → 匯出工作流(API)。













