easier

I don’t know if anyone has, has had or knows someone who Have an online storebut if so, a big hug. Mounting a store is not precisely easy and much less when your products have to look. If you sell, say, sweatshirts, the only way to teach how they look is photographing a model that has been put. And each model is a world: they have an eye color, a hair, skin color, etc. You have to take into account locations, make content for networks, in short. It is a really complex and, of course, an issue that can solve. That is what he proposes Dreamshota generative artificial intelligence tool Made in Spain who won the hackaton of AI2030 (event that Xataka was Media Partner) And that we will know today better. And attention, because perhaps it can be useful to some Xatakero who wants to undertake with his own fashion brand and does not know where to start. Fashion AI Image | Tamara Bellis How does a generative artificial intelligence work? Grosso (Very Grosso) Modeif we want an AI to learn to generate images of a horse you have to give a lot of images of a horse. Thousands, tens of thousands. If we do that with fashion images with different styles, funds, contexts, postures and models we will obtain an AI capable of generating images of models that integrate the elements we want. That is exactly what they did in Dreamshot, train a personalized model (Dreamshot v2) with More than 10,000 fashion images. Javier Jiménez, founder and CEO of the company, explains in conversation with Xataka that Dreamshot is based on Flux. Dreamshot is not a founding model as such, but a Fine Tunning Flux for which fashion images have been used both licensed and own. The first model, Dreamshot V1 Aka Lookbook is Open Source and can be used from Prompthero. Behind each product photo there are hours and hours of work and a huge investment | Image: Khaled Ghareeb Javier states that the photos are both own and ceded by the brands, ergo with permission. “We have not scrape anything from the Internet (…) It is an ethical training, we have all the rights of the photos we have trained with,” he says. How does it work? Although it does not completely eliminate the need to make a photo shoot, it does significantly reduce the amount of photos we have to do and the work and time invested. Because? Because if we want to squeeze the tool to the maximum we will have to upload photos of our productsideally varied photos, from different angles, with different perspectives and in different places. Minimum five. The thing is that once these photos have been made, the possibilities are huge. Dreamshot interface | Image: Xataka On the left the reference image of the green jacket. To the right, the result generated by the AI ​​using the prompt “60 Years Old Man Wearing Bottle Green Overshirt. He is in A Forest Full of Trees During Sunny Day” | Image: Xataka Great here to better appreciate the detail | Image: Xataka Once we have the photos, we can upload them to Dreamshot and ask the AI ​​to generate images of said product in other contexts or in models that do not exist. Or take stock photos that in another context would require mounting a complete set. It is a way to reuse photos to infinity. You don’t have to take photos of the product again, but ask the AI ​​to generate them for us. On the left the original image, on the right the one generated with the changing the model for a person with dark skin, with beard and dark green eyes | Image: Xataka Another option that works surprisingly well is that of change models. If we have a photo of a light skin model and light eyes and we want one of a model with dark skin and dark eyes, in another context two models should be counted. With Dreamshot we just have to upload the photo and ask the AI ​​to change it by entering a prompt. The result is quite striking, although a trained eye will quickly distinguish that the image is generated with AI. However, things as they are, the substitution of faces is spectacular. On the left the original image, on the right the generated with the changing the model for a blonde woman with blue eyes | Image: Xataka So is the Background changesomething that in normal conditions would mean displacements and time. This, more than for the store, it is interesting to use it to generate content for social networks. If we have a timeless garment or accessory, we may be interested that the networks in networks go in tune with the season of the year, for example. Well, it will be enough for us to select the photo of our model in the mountain and ask you to put it in the city, on the beach, in a forest or in front of the Roman Colosseum. On the left the original image, on the right the generated with the bottom of the Roman Colosseum | Image: Xataka It should be noted that Dreamshot divides the photo into three parts: model, clothing and background. We can change any of all three, but not alter the image itself. It is not possible to take the photo of a person and undress her. We could change the shirt or change the model, but not wear a photo of a dress dressed and undress or put it in swimsuit or interior. It is a dangerous matter, but Dreamshot has covered himself well and with success in this sense. Why Dreamshot? How does this idea arise? Javier Jiménez tells us that his first company It was a jewelry ecommerce“I was 10 years and every month we had photo sessions and there were thousands of euros, a month of preparation for each photo shoot … Then … Read more