An image generator makes an image of static similar to like a TV does with bad signal. The Ai looks atthe static and sees shapes in it. The prompt influences what it’s trying to “see”. It starts filling in the static to a full image, it does this in steps, more steps generally means a better quality image.
Also to say a LLM is a Large Language Model and is different from an image generator, though the proccess for them is very similar.
It kinda understands context.
An image generator makes an image of static similar to like a TV does with bad signal. The Ai looks atthe static and sees shapes in it. The prompt influences what it’s trying to “see”. It starts filling in the static to a full image, it does this in steps, more steps generally means a better quality image.
Also to say a LLM is a Large Language Model and is different from an image generator, though the proccess for them is very similar.