This ComfyUI workflow, titled 'Virtual Try On with Character - 4 in 1,' is designed to facilitate virtual fashion try-ons using AI image generation. The workflow allows users to upload an image of a character and a flatlay of an outfit. It then generates four variations of the character wearing the outfit in a single prompt using the Nano Banana Pro model. The workflow leverages several nodes, including LoadImage for importing images, ResizeAndPadImage for adjusting image dimensions, and BatchImagesNode for processing multiple images simultaneously. Custom nodes from comfyui-kjnodes and comfyui_essentials enhance functionality, enabling seamless integration and processing. This workflow is particularly useful for fashion designers, digital artists, and e-commerce platforms looking to visualize clothing on characters without the need for physical samples.
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 "Virtual Try On with Character - 4 in 1" (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_rob_fashion_shoot_vton-4in1.app_api.json");
const asset = client.assets.fromFile("input.png");
wf.setInput("1", "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.
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