One of the biggest questions when buying clothes or accessories online is how the item will actually look on us. A dress may look good in a photo, but it’s hard to predict how it will look after wearing it. To alleviate this problem, ChatGPT has added two new features related to shopping. These include virtual try-ons and favourites. With the help of these features, users can see the look of a garment on its photo before buying it. Also, by saving the products you like, you can easily refer to them later.
See how the clothes will look on you from the photos.
To use the virtual try-on feature, users can upload their selfie or full-body photo to ChatGPT. After this, the Try On option can be used by selecting any product shown in shopping.
ChatGPT will create a new photo by combining that product with the user’s photo. This will help you get an idea of how the chosen garment or accessory might look on you.
You can also take a screenshot of clothes from any website
If you like a dress on any other online shopping website, you can also take a screenshot of it and upload it to ChatGPT. After this, ChatGPT can be asked to virtually show that cloth on your photo. This means that it will be easier than ever to estimate the appearance of a product before buying it.
How does an AI model improve a photo?
The new image model used behind this feature does a better job of understanding things like clothing texture and lighting in photos. If the user wants a specific change in the photo, an attempt is made to follow his instructions more closely. Additionally, image generation does not take much time and is designed to produce high-quality images.
Also discover favorite styles and celebrity looks
ChatGPT is no longer limited to showing just one wardrobe. The user can also ask him to find related clothes and accessories by describing the complete look of his choice. If he likes a celebrity or influencer’s outfit, by uploading their photo, similar shoppable products can be found.
Save favorite products from favorite products
Another new feature is Favorites. If you like a product while shopping, it can be saved in one click. Preserved products will be found in the library. It also includes images created by virtual try-on. The advantage is that there is no need to search for the favorite items again and they can be easily viewed later.
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