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Kaggle FP16 Stable Diffusion XL (SDXL) DreamBooth is being extremely inferior to BF16 supporting GPU training any ideas why could be? #1031

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FurkanGozukara opened this issue Jan 1, 2024 · 0 comments

FurkanGozukara commented Jan 1, 2024

On Kaggle it does dual T4 GPU training. I used the very latest version with --ddp_gradient_as_bucket_view

Any ideas what could be causing so massive difference?

This was always the case since last few months whenever I did training

Everything is same except on Kaggle FP16 and xFormers enabled

SDXL 1.0 base DreamBooth training

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