该高级ComfyUI工作流用于制作包含角色和产品的多镜头用户生成内容（UGC）视频。它结合Kling 3.0和Nano Banana 2模型，将两者无缝融合为完整的视频叙事。流程从“LoadImage”节点上传角色和产品图片开始，随后“GeminiNanoBanana2”节点进行语义编辑，实现图片融合。接着，“BatchImagesNode”和“KlingOmniProImageToVideoNode”生成分镜头画面，最终通过“SaveVideo”节点合成为视频。
该工作流的优势在于可生成适用于营销或故事讲述的UGC视频。用户可自定义镜头数量和每个镜头的提示词，灵活匹配创意需求。Kling 3.0模型保证视频质量，Nano Banana 2模型支持多种宽高比，适配不同平台和受众。
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 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");The 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.
常见问题
