Ketu has launched Kolors Virtual Try-On, a one-click clothing changing tool, to provide "dress-up" enthusiasts with a convenient virtual trying-on experience. The tool is easy to operate. Users only need to upload photos of people and clothing to achieve the dress-up effect. This article will use a series of tests to demonstrate the clothing changing effect of Kolors Virtual Try-On in detail, and discuss its application in different scenarios, as well as some usage tips and potential improvements. Official website address: https://top.aibase.com/tool/kolors-virtual-try-on
Recently, Kolors Virtual Try-On, a one-click clothing changing tool launched by Ketu, is definitely good news for "dress-up" lovers.
Official website address: https://top.aibase.com/tool/kolors-virtual-try-on
From the perspective of the operation interface, the principles of virtual clothing changing software such as Kolors Virtual Try-On and Outfit Anyone are similar. Users only need to upload a photo of a person and a photo of clothing to achieve the dressing effect.
AIbase uploaded a previously generated picture of Wukong, and chose a striped clothes provided in the case for testing. It was found that the tool's effect of changing clothes was quite good. The clothes were perfectly worn on Wukong's body, and there were all the wrinkles and details that should be included. All reflected.
Of course, you can also test with more complex images. Here, AIbase uploads a Wukong fashion photo generated with Flux. Take a look at the effect of changing outfits on a model with multiple overlapping pieces of clothing.
Here I chose a simple T-shirt. You can see that the effect on the upper body is quite natural, and there is no problem at first glance. The only flaw is that after the long windbreaker in the original picture was replaced, there are some problems with the pants.
In addition to directly using existing clothing in the library, you can also upload pictures of your own clothing. You can even directly ask AI to draw some clothes for you, and then let your model wear it.
AIbase tried to use MJ to generate a "banana suit", and then used Ketu to put this suit on Wukong.
How about it? The upper body effect is quite natural, but after putting it on, the color of the clothes seems not as bright as the clothes pictures I provided, and the condition of the clothes is also softer. It has a sense of gap between a seller's show and a buyer's show. .
AIbase conducted a wave of tests and found that this kind of mannequin is also supported, but the effect of changing the clothes will be slightly worse.
During the test, there was also a situation where only half of the outfit was changed. I don’t know if it’s because my model is not a full body.
Tips for dressing up:
If you want to have a good dressing effect, the clothing pictures you provide should be like the example, flat clothing pictures without debris and people.
The model provided should preferably be from the front with a clean background. If the clothing includes the lower body, it is best for the model to be a full-body picture.
Idea:
1. We-media can be used to produce fashion shows in batches (either pictures, texts or videos)
Use ChatGPT or Kimi, Doubao, etc. to generate description prompts for clothing in batches, and then use drawing tools to generate pictures.
Use the photogenic clothing change tool to dress up your models. Post it on Douyin, Xiaohongshu and other platforms to quickly gain fans.
2. If you are a clothing manufacturer, etc., you can directly use the model in the library or upload the model and clothing pictures to generate the model clothing display effect.
If you are interested, you can try it yourself~
More past tutorial content can be viewed here: https://www.aibase.com/zh/course
All in all, Kolors Virtual Try-On is a powerful virtual clothes-changing tool. Its convenient operation and good clothes-changing effect make it have broad application prospects in clothing display, self-media operations and other fields. Although there are some areas for improvement, the potential is huge and it is worth looking forward to future updates and optimizations.