此 ComfyUI 工作流旨在将静态Logo转化为动态、带纹理的视频资产，非常适合提升品牌形象。通过一系列专业节点和模型，用户可上传Logo及所需纹理和元素，并将其无缝整合为统一的视频输出。流程以“LoadImage”节点开始，导入Logo、纹理及其他元素。接着，“GeminiImage2Node”处理这些图像，将指定纹理和元素应用到Logo上。该节点采用 Gemini3 Pro Image Preview 模型，确保高质量图像处理。
图像准备好后，“ByteDanceImageToVideoNode”将带纹理的Logo转为视频格式，利用 ByteDance 模型的先进技术实现流畅过渡和专业品质。最后，“SaveVideo”节点输出成品视频，可直接用于品牌和营销素材。此外，“SaveImage”节点可用于从视频中截取静帧。此工作流特别适合品牌设计师，无需复杂视频编辑技能即可制作吸引人的视觉内容。
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 "为 logo 添加纹理元素" (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("templates-textured_logo_elements_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("4", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("13")[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.
常见问题
