This ComfyUI workflow, titled 'Exploded View Animation,' is designed to transform a static image of a device or object into a dynamic video showcasing an exploded view. The workflow utilizes models such as Nano Banana 2 and Seedance 1.5 Pro to generate start and end frames, which are then animated to create a seamless loop. Key nodes like ByteDanceFirstLastFrameNode and CreateVideo are employed to handle the transition between frames, while SaveImage and SaveVideo nodes manage the output. This workflow is particularly useful for visualizing complex mechanical structures or electronic devices, providing an engaging way to present internal components without the need for physical disassembly.
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 "Exploded View Animation" (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("template_eric_exploded_view_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("29", "image", asset); // LoadImage
const job = await client.run(wf);
await job.getOutputs("26")[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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