Try-On Max

Try-On Max is a premium virtual try-on endpoint built for AI fashion photoshoots and publishable e-commerce content. It places products onto model images with enhanced fidelity, producing images suitable for PDPs, catalogs, and marketing assets.

This endpoint supports clothing, shoes, hats, jewelry, bags, and other wearable fashion items.

Unlike Try-On v1.6, which prioritizes speed for real-time consumer experiences, Try-On Max prioritizes image quality and detail preservation for professional content creation.

Model Specifications

Model Name: tryon-max
Lifecycle: experimental
Processing Time: 50 seconds
Supported Resolution: up to 4K
Output Formats: PNG, JPEG
Delivery Methods: URL or Base64 encoding
Credits: 4 per image

Request

Generate try-on images by submitting your product and model images to the universal /v1/run endpoint:

POST`https://api.fashn.ai/v1/run`

Request Examples

curl -X POST https://api.fashn.ai/v1/run \
     -H "Content-Type: application/json" \
     -H "Authorization: Bearer YOUR_API_KEY" \
     -d '{
           "model_name": "tryon-max",
           "inputs": {
             "product_image": "https://example.com/garment.jpg",
             "model_image": "https://example.com/person.jpg"
           }
         }'

Response

Returns a prediction ID for status polling:

{
  "id": "123a87r9-4129-4bb3-be18-9c9fb5bd7fc1-u1",
  "error": null
}

Request Parameters

Required Parameters

`product_image`
Required
image URL | base64

URL or base64 encoded image of the product (garment, accessory, etc.) to place on the model.

Base64 Format

Base64 images must include the proper prefix (e.g., data:image/jpg;base64,<YOUR_BASE64>)

`model_image`
Required
image URL | base64

URL or base64 encoded image of the person to wear the product. The try-on process preserves the model's identity, pose, and styling while seamlessly integrating the product.

Base64 Format

Base64 images must include the proper prefix (e.g., data:image/jpg;base64,<YOUR_BASE64>)

Optional Parameters

`prompt`string

Optional instructions to customize the try-on result. Use this to adjust how the product is worn or make minor styling changes.

Examples: "remove scarf", "tuck in shirt", "roll up sleeves", "open jacket".

Default: Empty string (uses intelligent defaults based on the images)

`seed`integer

Sets random operations to a fixed state. Use the same seed to reproduce results with the same inputs, or a different seed to force different results.

Default: 42 Range: 0 to 2^32 - 1

`num_images`integer

Number of images to generate in a single request. Must be between 1 and 4. Additional images consume more compute (and credits) and can increase processing time.

Default: 1

`output_format`'png' | 'jpeg'

Specifies the output image format.

png: Lossless quality, best for further editing or when maximum fidelity is needed.
jpeg: Smaller file size with slight compression, suitable for direct web use.

Default: png

`return_base64`boolean

When set to true, the API will return the generated image as a base64-encoded string instead of a CDN URL. The base64 string will be prefixed according to the output_format (e.g., data:image/png;base64,... or data:image/jpeg;base64,...).

This option offers enhanced privacy as user-generated outputs are not stored on our servers when return_base64 is enabled.

Default: false

Response Polling

After submitting your request, poll the status endpoint using the returned prediction ID. See API Fundamentals for complete polling details.

Successful Response

When your try-on generation completes successfully, the status endpoint will return:

{
  "id": "123a87r9-4129-4bb3-be18-9c9fb5bd7fc1-u1",
  "status": "completed",
  "output": [
    "https://cdn.fashn.ai/123a87r9-4129-4bb3-be18-9c9fb5bd7fc1-u1/output_0.png"
  ],
  "error": null
}

The output array contains URLs to your generated try-on images with the product seamlessly placed on the model.

Runtime Errors

Runtime errors for Try-On Max use the shared set in Error Handling.

Prompting in FASHN - Learn how to write effective prompts for best results
Image Preprocessing Best Practices - Optimize your input images for better results
Data Retention & Privacy - Understand how FASHN handles your data

Try-On Max

POSThttps://api.fashn.ai/v1/run

Response

product_imageRequiredimage URL | base64

model_imageRequiredimage URL | base64

promptstring

seedinteger

num_imagesinteger

output_format'png' | 'jpeg'

return_base64boolean

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