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-rw-r--r--modules/sd_hijack.py11
1 files changed, 8 insertions, 3 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 76cb9120..f62e9adb 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -43,9 +43,14 @@ def apply_optimizations():
ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.xformers_attnblock_forward
optimization_method = 'xformers'
elif cmd_opts.opt_sdp_attention and (hasattr(torch.nn.functional, "scaled_dot_product_attention") and callable(getattr(torch.nn.functional, "scaled_dot_product_attention"))):
- print("Applying scaled dot product cross attention optimization.")
- ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_attention_forward
- optimization_method = 'sdp'
+ if cmd_opts.opt_sdp_no_mem_attention:
+ print("Applying scaled dot product cross attention optimization (without memory efficient attention).")
+ ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_no_mem_attention_forward
+ optimization_method = 'sdp-no-mem'
+ else:
+ print("Applying scaled dot product cross attention optimization.")
+ ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_attention_forward
+ optimization_method = 'sdp'
elif cmd_opts.opt_sub_quad_attention:
print("Applying sub-quadratic cross attention optimization.")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.sub_quad_attention_forward