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Fix mask issue with attention_xformers.

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comfyanonymous 2024-11-20 17:07:46 -05:00
parent 22535d0589
commit 07f6eeaa13
1 changed files with 4 additions and 4 deletions
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8
comfy/ldm/modules/attention.py
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@ -372,10 +372,10 @@ def attention_xformers(q, k, v, heads, mask=None, attn_precision=None, skip_resh
) )
if mask is not None: if mask is not None:
pad = 8 - q.shape[1] % 8 pad = 8 - mask.shape[-1] % 8
mask_out = torch.empty([q.shape[0], q.shape[1], q.shape[1] + pad], dtype=q.dtype, device=q.device) mask_out = torch.empty([q.shape[0], q.shape[2], q.shape[1], mask.shape[-1] + pad], dtype=q.dtype, device=q.device)
mask_out[:, :, :mask.shape[-1]] = mask mask_out[..., :mask.shape[-1]] = mask
mask = mask_out[:, :, :mask.shape[-1]] mask = mask_out[..., :mask.shape[-1]]
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask) out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask)