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FASHN Virtual Try-On V1.5 Image to Image

fal-ai/fashn/tryon/v1.5
FASHN v1.5 delivers precise virtual try-on capabilities, accurately rendering garment details like text and patterns at 576x864 resolution from both on-model and flat-lay photo references.
Inference
Commercial use

Input

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Your request will cost $0.075 per generation.

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FASHN Virtual Try-On V1.5 | [image-to-image]

FASHN's Virtual Try-On V1.5 delivers precise garment rendering at 576x864 resolution for $0.075 per generation, accurately preserving text, patterns, and fabric details from both on-model and flat-lay reference photos. Trading raw speed for photographic accuracy, the model handles three garment categories (tops, bottoms, one-pieces) with automatic detection and three quality modes to balance performance needs. Built for e-commerce teams running high-volume product visualization where garment detail accuracy directly impacts conversion rates.

Use Cases: E-commerce Product Visualization | Fashion Catalog Generation | Virtual Fitting Room Applications


Performance

At $0.075 per generation, FASHN V1.5 positions as a specialized virtual try-on solution with configurable quality modes.

MetricResultContext
Resolution576x864Fixed output dimensions optimized for full-body garment visualization
Cost per Generation$0.07513 generations per $1.00 on fal
Quality Modes3 optionsPerformance/Balanced/Quality trade speed for rendering accuracy
Batch Processing1-4 samplesGenerate multiple variations per request to increase success rate
Related EndpointsFASHN V1.6Newer version with enhanced capabilities at same pricing tier

Specialized Virtual Try-On Architecture

FASHN V1.5 uses a dual-input architecture requiring both model and garment images, with intelligent preprocessing that adapts to flat-lay product photos or on-model references. Unlike general image-to-image models, this approach preserves garment-specific details like logos, text, and pattern alignment while maintaining realistic fabric draping and body proportions.

What this means for you:

  • Automatic Garment Detection: Category auto-detection handles tops, bottoms, and one-pieces without manual classification, reducing workflow friction for catalog-scale operations

  • Flexible Source Images: Accepts both flat-lay product photography and on-model references via `garment_photo_type` parameter, eliminating need for specialized photo shoots

  • Quality-Speed Control: Three rendering modes (performance/balanced/quality) let you optimize for preview speed during creative iteration or final output quality for production assets

  • Batch Variation Generation: 1-4 sample outputs per request with optional seed control increases chances of ideal results without sequential API calls


Technical Specifications

SpecDetails
ArchitectureFASHN Virtual Try-On V1.5
Input FormatsModel image (URL/base64), Garment image (URL/base64)
Output FormatsPNG (highest quality), JPEG (faster processing)
Output Resolution576x864 pixels
LicenseCommercial use permitted

API Documentation | Quickstart Guide | Enterprise Pricing


How It Stacks Up

FASHN Virtual Try-On V1.6 – FASHN V1.5 ($0.075) offers proven stability for production workflows, while V1.6 ($0.075) introduces enhanced rendering capabilities at the same price point. V1.6 represents the latest iteration with improved detail preservation for teams prioritizing cutting-edge accuracy over established stability.

Bytedance Image to Image – FASHN V1.5 specializes in garment-specific virtual try-on with automatic category detection and fabric detail preservation. Bytedance's general image editing approach offers broader transformation capabilities for teams needing multi-purpose image manipulation beyond fashion use cases.