How do you train models for products?

I have never trained a model before; I just want a solution. When I upload a product from the front angle, for example, glasses, if I regenerate or reload with a different angle, the shape of the object will be distorted because the AI makes the product follow the new angle, which is not the same as the reference image provided. Can I upload at least 10 product images I’ve photographed from different angles, hoping that when regenerating or reloading with a different angle, the object won’t be distorted?

I asked GPT, and it said this might be possible by training the model using Python. All images from different angles are trained to help the AI understand each angle and shape. Is this indeed possible? And I have another question: if I upload a 3D model without textures—meaning the basic shape—with the aim of helping the AI understand the product's geometric shape, can this be done for model training in Python? Can 2D+3D be used to generate or fill in the model with details? Or do you have any other suggestions, perhaps with specific nodes?

I can’t fully trust GPT because it sometimes provides incorrect steps for certain tasks. Therefore, if you know anything or have ever done something like this, I hope you wouldn’t mind sharing.