Kurtas behave differently than co-ords.
Different clothes give an AI system different visual problems to solve. These practical tips can help you choose better images and interpret the result honestly.
Each outfit type gives the AI a slightly different puzzle. Here is how the four most common ones tend to translate, and what to trust in the result.
Choose an image that shows the complete front: neckline, sleeves, and hem. A straight product view is usually more useful than an angled lifestyle photograph. If the set includes matching trousers or a dupatta, pick an image where each piece is visually distinct. Read the result for overall colour and style, not exact length, embroidery detail, or how the fabric falls on the body.
A clear single-piece silhouette can make the intended garment easier to identify. Prefer full-length product images when length is part of the design. Prints, pleats, cut-outs, layered hems, and reflective materials can still be simplified or reinterpreted by the AI.
Use one image that clearly shows both pieces together, and avoid collages with many colour options or several models. The preview can help you judge whether the combined palette and silhouette feel right, but it cannot guarantee the relative length or fit of each piece.
Upper-body garments work best when your chosen photo also shows the upper body clearly. Remove bags, scarves, crossed arms, and hair covering the garment area where practical. For open jackets and layered looks, expect more variation, because the AI must interpret multiple visible layers.
One person, one clear pose, one prominent outfit. You can still try complex styles; just expect more interpretation in the generated details.
A generated image does not know how cotton, rayon, denim, knitwear, or silk will feel on your body. It also does not replace tailoring, measurements, or trying on the real garment. Use fit. for the visual question, then use product facts for the practical decision.
fit. is available for Android. iOS is coming soon.
Asked before trying.
You can try, but layered and draped garments are harder for the AI to interpret. A clear, front-facing product image helps, and results for heavily draped styles vary more than for simpler pieces.
Not always. Accessories and layered extras are the most commonly imperfect details in a generated preview. Judge the colour and silhouette first, and treat the small details as approximate.
Yes. Running both try-ons on the same photo keeps everything else constant, so the differences between the outfits are much easier to judge.
