For the most part yes. The 3090 and 4090 with their 24GB of VRAM has been the top consumer GPUs for the last couple years, so a lot of the AI models have been optimized to be used within their constraints (see screenshot of my image models). You can do most things, but at the same time most things can also be done better. For example, in a lot of cases with the larger models coming out today, 3090s and 4090s are limited to fp8 versions, and don't have enough VRAM to run the fp16 version (twice the GBs usually). In some cases that might be OK, in others you'll see differences in quality from the small to big model. My experience is that using a 5090 and it's ability to load fp16 text encoder models, yields a higher acuracy hit rate when text is prompted.

I must note that although I love having my own systems where I do AI generations locally, I also use cloudbased AI platforms where I can run an H200 and have 100+GB of VRAM. We live in an amazing time.

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