For the SD 1.5 checkpoint, we used to apply optimized attention score (replacing torch.badbmm by torch.bmm, since we don't have attention_mask as input, it could save some compute). But oddly, the trick works theoretically and works for other SD models, e.g. SD2, and SDXL, but not for SD 1.5...
We will apply in this PR a less optimized get_attention_scores for SD1.5 (almost the original one in diffusers) until we find the root cause.
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What does this PR do?
Fixes #607
For the SD 1.5 checkpoint, we used to apply optimized attention score (replacing
torch.badbmm
bytorch.bmm
, since we don't have attention_mask as input, it could save some compute). But oddly, the trick works theoretically and works for other SD models, e.g. SD2, and SDXL, but not for SD 1.5...We will apply in this PR a less optimized
get_attention_scores
for SD1.5 (almost the original one in diffusers) until we find the root cause.Before submitting