Virtual try-on that produces a usable image
The output is only as good as the input photo. Almost every disappointing result traces back to the picture, not the model.
Fashion TryOn overlays clothing onto a photo using AI, handles various garment types, outputs at high resolution with GPU acceleration, and lets you save and share the results.
The photo decides the result
Three things about the source image account for most of the difference between a usable result and an obviously fake one.
- Even, frontal light. Strong side light bakes shadows into the body that the overlay cannot match.
- A plain background. Not for aesthetics — a busy background gives the model more chances to confuse edges.
- An unobstructed torso. Crossed arms, a bag strap or a jacket held over the shoulder each remove information the overlay needs.
The garment image matters just as much: a flat product shot on white beats a photo of the item on a hanger, and both beat a photo of someone else wearing it.
What it is honestly good for
It is good for showing a customer roughly how something reads on a body shape — colour, proportion, whether a cut works. It is good for a catalogue where you have twenty garments and four models rather than eighty photoshoots.
It is not good for fit. It cannot tell you whether the sleeve is too long, and presenting it as though it can produces returns. If the image reaches a customer, say what it is.
Cost, because this is the expensive kind of AI
Image generation draws far more from your token balance than text does — this is one of the two modules that deserves its own mental budget. Test the setup on two or three images before running a batch of eighty, because the batch is where a wrong setting becomes an expensive mistake rather than a cheap one.
Questions people actually ask
Why does my result look obviously fake?
Almost always the source photo: side lighting, a busy background, or arms crossing the torso. Re-shoot with flat frontal light on a plain background before changing anything else.
Can I use it to judge fit?
No. It shows how a garment reads — colour, proportion, cut — not whether it fits. Presenting it as a fit preview generates returns.
Why did a batch cost so much?
Image generation is far more expensive per call than text. Test on two or three photos before committing a batch; the batch is where a wrong setting becomes costly.
