4090 (24 GB VRAM) – it was fine, but I’m now collecting a better dataset for my final LoRA for WAN 2.2.
For example, right now when I train WAN 2.2 with high noise and low noise… the low noise results are actually better when I use my old LoRA from WAN 2.1.
So currently I’m using WAN 2.2 high noise for the high noise pass, and my old WAN 2.1 LoRA for the low noise pass.
I’m not sure why… Most of the issues seem to be with human eyes.
I think what I need to do is:
for low noise → collect a dataset with high resolution, close-ups on skin details, eyes, etc.
for high noise → use more general shots of the body, face, etc.
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