https://github.com/deepbeepmeep/Wan2GP
And the discord community: https://discord.gg/g7efUW9jGV
"Wan2GP" is AI video and images "for the GPU poor", get all this operating with as little as 6GB VRAM, Nvidia only.
There are a lot of people focused on performance, various methods, just as there are a lot of people focused on non-performance issues like fine tunes that add aspects the models lack, such as terminology linking professional media terms to the model, the pop culture terminology the model does not know, accuracy of body posture during fight, dance, gymnastic, and sports activity, and then less flashy but pragmatic actions like proper use of tableware, chopsticks, keyboards and musical instruments - complex actions that stand out when done incorrectly or never shown. The model knowledge is high but has limits, which people are adding.
By GPU poor they didn't mean GPUless or GPU of the previous decade. It's on the readme that only Nvidia is supported.
Also disappointing that I haven't seen anything target the new Ryzen AI chips that can do 96gb since they seem pretty capable. I'm not sure how much memory m4 pro on the apple side can be utilized for this but it seems like the typical machines are 48 or 64gb these days. Lot more bang for your buck than an Nvidia card on paper?
But really all the various video models really want an 80+ gig vram card, to run comfortably. The contortions the ComfyUI community goes through to get things running at a reasonable speed on the current, dinky-sized vram consumer cards, are impressive.