Earlier quoted context omitted.
> Lots of models will run on 8-12 GB 1080-generation GPUs onwards, or on Macs with similar memory, which are probably the bottom end from a GPU power perspective anyway. Not the bottom end - most people are on laptops or mobile devices that are much lower GPU power than this.
Probably the bottom end an individual would want to consider using due to slow generation time . Sure, you could theoretically take a model compressed in this manner and deploy it on an old netbook and run the calculations on the CPU, but each image would probably take an hour…
If this model can run inside of the 4GiB limit, that makes this infinitely more useful than existing models for me.