I asked this mostly for self help books, like time management and others. Obv you would need to remember and act what was discussed in the book to get any benefit from that.
You're supposed to read these books multiple times. You read the first time to get a general understanding. And then you reference things within the book as they pop up as ideas you want to remember more about. No one remembers the details of anything they read the first time. It's about constant exposure. Some things however, are important for shaping your general thought processes, but not important enough to remember specifically
In that image, a little bit of the backside of the cap is visible. The dark border at the right bottom.
So as I understand it, the AI would have to figure that out on its own and remove it before it adds the boy to the image?
Also, that image has watermarks all over it. Does that mean the AI has to detect and remove those?
The perspective of the cap is rather unusual for a photo on a human. As it would cover the eyes. Does that mean the eyes of the boy would be covered in the result? Or do you expect the AI to change the perspective of the product photo?
> Also, that image has watermarks all over it. Does that mean the AI has to detect and remove those?
I don’t think that’s what they meant. I think they mean they will use photos of products that they themselves (or the factories they buy it from) provide, without watermarks, and they want to add generated things like people etc into the photo while keeping the product itself the exact same as it was
Thanks but it doesnt work. It takes the reference from image of the product and creates similar images. What I am looking for is to use the same product image
The specification of exactly what you want probably needs to be refined, but for that it's probably helpful on your end to know what is available and what is needed.
There are different methodologies for taking Stable Diffusion and adding some new concept (like a product with some images) to it. Hypernetworks, textual inversion and dreambooth are three methods.
I was trying to put the concept of specific people that I had a number of good photos of into Stable Diffusion. They say for images of people that dreambooth is better than hypernetworks and textual inversion, and it was. Hypernetworks were nowhere near as good for pictures of people, but I got a good picture once in a while. I never got anything good from textual inversion for pictures of people.
A more recent technique that is being used to put new concepts into Stable Diffusion is LoRa. I'm not that familiar with it but it being used and is another alternative method.
I have an Nvidia RTX 3060 card and spent hours (sometimes a day) making each model, and usually I had dozens of decent pictures (sometimes over 100) of each subject. It came out well. I needed a number of high quality photos from different angles of each subject. Not just from different angles but some full body shots, mid body shots and then some shots of just the face. Also if they were wearing glasses in 95% of the photos, most of the output would have them wearing glasses. Also if most of the photos I had were of them in group photos and I could barely crop their face out from the faces around them in the group shot, it was harder to do.
If you're willing to put in a little work it's possible, but you're going to have to get your product rendered or photographed at the angle you want it to appear in the photo, then mask the product while having the AI generate the rest of the image.
I've done this with some success using t-shirt mockup templates to get the color, shadows, folds and creases in the clothing right then regenerated everything around the shirt.
No one asked to be born, and no one is obliged to "make their mark". In fact, staying out of the news, out of the hospital, and out of jail is not a bad rough set of goals.
As long as we're here, we might as well "Party on", "Be excellent to each other", and, in general, do our best to enjoy the situation until we're no longer.
(all tourists eventually leave; some just take longer than others)
