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default to split attention if cuda is available and xformers is not

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C43H66N12O12S2 2022-10-08 16:20:04 +03:00 committed by GitHub
parent d0e85873ac
commit 26b459a379
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1 changed files with 2 additions and 2 deletions
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modules/sd_hijack.py
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@ -21,12 +21,12 @@ diffusionmodules_model_AttnBlock_forward = ldm.modules.diffusionmodules.model.At
def apply_optimizations():
ldm.modules.diffusionmodules.model.nonlinearity = silu
if not cmd_opts.disable_opt_xformers_attention and not (cmd_opts.opt_split_attention or torch.version.hip):
if not cmd_opts.disable_opt_xformers_attention and not (cmd_opts.opt_split_attention or torch.version.hip or shared.xformers_available):
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.xformers_attention_forward
ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.xformers_attnblock_forward
elif cmd_opts.opt_split_attention_v1:
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.split_cross_attention_forward_v1
elif cmd_opts.opt_split_attention:
elif cmd_opts.opt_split_attention or torch.cuda.is_available():
ldm.modules.attention_CrossAttention_forward = sd_hijack_optimizations.split_cross_attention_forward
ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.cross_attention_attnblock_forward