Name: FLUX Virtual Try-On API
Brand: Black Forest Labs

Overview

What is FLUX Virtual Try-On API?

Generates virtual clothing try-on images.

Technical Specifications
- Supported inputs: Image, Text
- Output: Image
- Endpoint: /images/generations

Performance Benchmarks
[embed]

FLUX Virtual Try-On API Pricing
- Pricing on request

Where to Use FLUX Virtual Try-On

High-volume image generation
Produce product visuals, thumbnails, and marketing assets programmatically at scale.

Creative and concept art
Turn text prompts into illustrations, mockups, and design explorations.

Image editing and variations
Provide a reference image to guide edits, restyles, or variations.

Code Sample
[embed]

Use cases

Generate virtual try-on results from a person image plus one or more garment references. It is also documented for interactive applications like virtual fitting rooms and social media filters.

It is suited to catalog-scale styling, including showing how a garment looks on a person for exploring styling, silhouette, and overall fit.

It is documented for product visualization in fashion workflows, including creating apparel try-on results for shopper-facing try-on use cases.

It can be used for outfit transfer, where clothing from a reference image is placed onto a person image while preserving the subject’s face and pose.

How to use FLUX Virtual Try-On API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to blackforestlabs/flux-vto.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "blackforestlabs/flux-vto",
      "prompt": "A cat holding a sign that says hello"
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "blackforestlabs/flux-vto",
    "prompt": "A cat holding a sign that says hello"
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/images/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"blackforestlabs/flux-vto","prompt":"A cat holding a sign that says hello"}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.