I have optimized VTube Studio's VRAM usage!

Описание: No generative AI was used during the production of this video (enjoy bad photoshops).

The idea behind this video originated right after my debut, when I realized that even with 16 GB of VRAM in certain games I am getting close to utilizing my entire graphics card. I already knew that texture resolution was massive and I don't know still how much of it is my artist, how much of it is a concept of an avatar and how much of a rigger - I don't want to point fingers. But Live2D being what it is, I can't change it, but I can optimized VTube Studio. And while it's fair to assume most Vtuber will likely end up with models being below 1.33GB of VRAM, while gathering references I have seen quite a few being bigger than that.

VTube Studio VRAM usage calculator: https://suimachine.github.io/web_proj...
VTS-Memory Compression project (source code & build): https://github.com/SuiMachine/VTS-Mem...
Nvidia's Textures Tools: https://developer.nvidia.com/texture-...
More in-depth blog entry about it: https://suimachine.github.io/bcn/2026...

Resources:
Nathan Reed blog entry: https://www.reedbeta.com/blog/underst...
Marmoset Toolbag's lecture about BCn:    • GPU Texture Compression  

Video sections:
0:00 - Intro
1:12 - Disclaimer & problem introduction
2:31 - VRAM usage with ARGB32
3:06 - A solution to problem
4:43 - BC3 and runtime compression
5:47 - DDS files and BC7
7:33 - ARGB32 vs BC7
8:31 - Using a VTS-Memory Compression hook
10:08 - Closing words and plan for the future
10:58 - Credits etc.