Try-On
The Try On tool is powered by our in-house flagship FASHN Virtual Try-On v1.6 model, trained from scratch on millions of model-to-model garment transfers, for consumer virtual try-on applications (virtual fitting rooms).
While designed primarily for virtual try-on, it can also be used for AI photoshoots to transfer outfits from one model to another.
What is Try-On?
Try-On lets you transfer clothing from one person image to another using advanced garment-to-model mapping. The system preserves details such as fabric texture, print, and fit, producing realistic results that match the target model’s pose and body shape.
When to Use
This tool works best when the source image already shows a person wearing the clothing you want to transfer.
- Starting from a product photo without a person and no specific target photo? Use Product to Model.
- Your product is not a garment? (e.g. a shoe, a bag, a hat, a jewelry, etc.) Use Product to Model instead.
- Already have the product on a person and only want to change who it is? Use Model Swap.
How to Use It
Choose or Upload a Model Image
Upload a clear photo of the person who should wear the item. E-commerce style photos work best (studio background, even lighting, 2:3 or 3:4 aspect ratio).
Upload the Garment Image
Use a flat-lay, ghost mannequin, or on-model photo (recommended). Show the full item with minimal shadows. Clear outlines and high resolution improve results.
Adjust Settings (Optional)
Most users can proceed with default settings, but you can fine-tune results using these options:
- Category (Optional) – If the image contains multiple garments (for example, a top and bottom) and you want to replace only one, select the category manually. Otherwise, the system will auto-detect it.
- Mode (Performance / Balanced / Quality) – Adjusts the trade-off between speed and fidelity.
- Number of Samples – Generate multiple variations (1–4) and select your preferred result.
- Seed – Fix a random seed to reproduce a specific output, or keep it random for new variations.
Run the Try-On
- Click Run to start. The system will process your inputs, apply the garment to the model image, and produce final visuals in seconds.
- Wait: Depending on Mode and number of samples might take only a few seconds or slightly longer for high quality.
- Review the Results: Take a look at the generated results.
Prepare for Export or Continue Editing
- Fix minor mistakes from the try-on tool with Edit
- Download, upscale, or use Export for Web in Gallery
- Change background or adjust aspect ratio with Background Change and Reframe
- Create a short video from this image with Image to Video
Parameters
Only the model image and product image are required. Other inputs are optional or situational.
| Parameter | Description |
|---|---|
| Model image | The person who will wear the item. Use a clear, front-facing or three-quarter pose with even lighting and a simple background. |
| Garment image | The item to apply. Flat-lay, ghost mannequin, or on-model photo with clear outline, texture, and print. On-model garment images work best (shows the garment on a model). |
| Category | (Auto / Top / Bottom / Full-body) If the garment image contains multiple garments (for example, a top and bottom) and you want to replace only one, select the category manually. Otherwise, the system will auto-detect it. |
| Mode | (Performance / Balanced / Quality) Controls the balance between speed and image fidelity. Use Quality mode when significant skin areas need to be preserved or generated (for example, changing from long to short sleeves). |
| Number of Samples | (1–4) Generate multiple variations and select your preferred result. |
| Seed | Fix a random seed to reproduce a specific output, or keep it random for new variations. |
| Segmentation Free | Enables direct garment fitting without clothing segmentation, allowing better results for bulky garments while preserving body shape and skin texture. Turn this off if the original clothing is not being removed correctly. |
Best Practices for Model Image
✅ Recommended
- Use a 2:3 aspect ratio for balanced framing and optimal model proportions.
- Ensure the outfit is fully visible, without being cropped or cut off.
- Choose tight-fitting clothing so the system can clearly detect garment edges and body shape.
- Use three-quarter or full-body shots for best garment alignment.
- Keep the pose natural and straightforward—standing or slightly angled is ideal.
❌ Avoid
- Extreme poses or unusual perspectives.
- Photos with multiple people or children.
- Hair or objects covering the clothes.
- Wide aspect ratios or distant shots.
Best Practices for Garment Images
Follow these guidelines to achieve the most accurate garment transfer and realistic fitting:
✅ Recommended
- On-Model photos deliver the best results, as garments appear in natural shape and lighting.
- Ghost mannequin shots work well when model photos are unavailable, providing clear garment structure.
⚠️ Acceptable but less optimal
- Flat-lay images can be used, but depth and fit information are limited, which may reduce realism.
❌ Avoid
- Garments on hangers—these introduce perspective distortion and lose body shape context.
- Garments on the floor—these appear wrinkled or uneven, making fitting and texture mapping unreliable.
Using clear, structured garment photos ensures cleaner segmentation, better draping accuracy, and more consistent visual quality.
Troubleshooting
- Original clothing is not being removed correctly → Turn off Segmentation Free
Where Next?
- Improve the resolution of your image with Upscale in Gallery
- Apply Reframe to fit marketplace or social aspect ratios
- Convert your new image into motion clips with Image to Video