Upload, generate, share. Create hundreds of different scenes and environments from a single product shot. Is it Christmas, Valentine's, Summer or Winter? Our robots don't care, but your customers do.
Wow! Looks great! Awesome presets! I think that small companies will be glad to save time & money taking professional photos of their products. As ordering photographers services cost a lot nowadays and you will spend a lot of time. It's worth it!
Looks insane! It is very easy to customize your products and make it look very professional and impressive with the power of AI. You can simply upload your product photo and choose the best background! Highly recommended🔥🔥
I think an issue that will probably arise is whether or not they look real enough. People like to see the reality of the product with the textures and stuff.
On Amazon with their photo zoom thing I think it helps people know what they're getting and whether it is the quality that they want.
@kingromstar Rami absolutely! This is something we try to tackle as well.
Of course, with some scenes we succeed and with some a little bit less :D
We train on real-world data and our end goal is to generate photorealistic product images.
Looks insane! It is very easy to customize your products and make it look very professional and impressive with the power of AI. You can simply upload your product photo and choose the best background! Highly recommended🔥🔥
Thanks @zan_potokar ! We're currently running an A/B test with faces.com. In about two weeks, we'll gather a lot of data from this test. The early results are positive, and we'll share more in an upcoming blog post.
Brands use us because we enable them to create and test 20 different campaign visuals way faster than they used to before.
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Looks awesome! I believe many people would find this very useful. Could you perhaps share some insights about the type of AI model you are using?
@jan_pristovnik Thank Jan for trying it out!
We are built on top of Stable Diffusion and we are running our own custom pipelines that help us achieve the best results. We are also training on new datasets monthly to cater to the needs of our early adopters. Our infrastructure runs in the cloud.
Thanks for the comment and hopefully I answered your question.
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