ChatGPT : One of the biggest questions when buying clothes or accessories online is how they will look on us in real life. A dress may look beautiful in a photo, but it’s hard to imagine how it will look when worn. To alleviate this problem, ChatGPT has added two new shopping features: Virtual Try-On and Favorites. These features allow users to see what the item looks like in their own photos before making a purchase. They can also save products they like and easily review them later.
To use the virtual try-on feature, users can upload a selfie or a full-body photo to ChatGPT. Then, they can select the product from the shopping list and use the try on option. ChatGPT will combine the product with the user’s photo to create a new image. This will give an idea of how the chosen garment or accessory will look on them.
Can take screenshots of clothes from any website
If you like a dress on another online shopping website, you can take a screenshot and upload it to ChatGPT. You can then ask ChatGPT to display the dress virtually on your photo. This makes it easy to evaluate the appearance of the product before making a purchase.
How does an AI model improve photos?
The new image model used behind this feature is able to better understand factors such as clothing texture and lighting in photos. If the user wants to make specific changes to the photo, their instructions are followed more closely. Additionally, the photo preparation process is fast and designed to produce high-quality images.
Also discover favorite styles and celebrity looks
ChatGPT is no longer limited to showing only one outfit. Users can also ask to find clothes and accessories that match their desired look. If they like a celebrity or influencer’s outfit, they can upload a photo to find similar products available for purchase.
Save favorite products with Favorites
Another new feature is Favorites. If you find a product you like while shopping, you can save it with one click. Saved products will be available in the library. Photos taken with a virtual try-on can also be displayed. The advantage of this is that there is no need to search for the favorite items again and they can be easily viewed later.