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Remove prints that are useless when xformers is enabled.
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@ -343,7 +343,7 @@ class CrossAttentionDoggettx(nn.Module):
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return self.to_out(r2)
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class OriginalCrossAttention(nn.Module):
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class CrossAttention(nn.Module):
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def __init__(self, query_dim, context_dim=None, heads=8, dim_head=64, dropout=0.):
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super().__init__()
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inner_dim = dim_head * heads
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@ -395,14 +395,13 @@ class OriginalCrossAttention(nn.Module):
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return self.to_out(out)
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import sys
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if "--use-split-cross-attention" in sys.argv:
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print("Using split optimization for cross attention")
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class CrossAttention(CrossAttentionDoggettx):
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pass
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else:
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print("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention")
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class CrossAttention(CrossAttentionBirchSan):
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pass
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if XFORMERS_IS_AVAILBLE == False:
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if "--use-split-cross-attention" in sys.argv:
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print("Using split optimization for cross attention")
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CrossAttention = CrossAttentionDoggettx
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else:
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print("Using sub quadratic optimization for cross attention, if you have memory or speed issues try using: --use-split-cross-attention")
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CrossAttention = CrossAttentionBirchSan
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class MemoryEfficientCrossAttention(nn.Module):
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# https://github.com/MatthieuTPHR/diffusers/blob/d80b531ff8060ec1ea982b65a1b8df70f73aa67c/src/diffusers/models/attention.py#L223
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