This ComfyUI workflow, titled 'LED Billboard Message,' is designed to seamlessly overlay text onto a blank billboard image and create a smooth zoom-in video that reveals your message. The workflow utilizes several nodes, including LoadImage for importing the billboard base, and GeminiImage2Node for integrating text onto the image. KlingStartEndFrameNode is used to define the start and end frames of the zoom-in effect, ensuring a smooth transition. SaveImage and SaveVideo nodes are employed to export the final image and video outputs. The custom nodes from comfyui_essentials facilitate advanced operations like RegexReplace for text manipulation, enhancing the workflow's versatility.
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 "LED Billboard Message" (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-led_billboard_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("10", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("19")[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.
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