diff options
author | C43H66N12O12S2 <36072735+C43H66N12O12S2@users.noreply.github.com> | 2022-10-08 14:44:53 +0000 |
---|---|---|
committer | AUTOMATIC1111 <16777216c@gmail.com> | 2022-10-08 14:54:16 +0000 |
commit | cc0258aea7b6605be3648900063cfa96ed7c5ffa (patch) | |
tree | ba359707cf46bd7213c14bb79b16a1acb463d9c5 /modules/sd_hijack.py | |
parent | 017b6b8744f0771e498656ec043e12d5cc6969a7 (diff) | |
download | stable-diffusion-webui-gfx803-cc0258aea7b6605be3648900063cfa96ed7c5ffa.tar.gz stable-diffusion-webui-gfx803-cc0258aea7b6605be3648900063cfa96ed7c5ffa.tar.bz2 stable-diffusion-webui-gfx803-cc0258aea7b6605be3648900063cfa96ed7c5ffa.zip |
check for ampere without destroying the optimizations. again.
Diffstat (limited to 'modules/sd_hijack.py')
-rw-r--r-- | modules/sd_hijack.py | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py index 5e266d5e..a3e374f0 100644 --- a/modules/sd_hijack.py +++ b/modules/sd_hijack.py @@ -22,10 +22,9 @@ def apply_optimizations(): undo_optimizations()
ldm.modules.diffusionmodules.model.nonlinearity = silu
- if cmd_opts.xformers and shared.xformers_available and torch.version.cuda:
- if torch.cuda.get_device_capability(shared.device) == (8, 6):
- ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.xformers_attention_forward
- ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.xformers_attnblock_forward
+ if cmd_opts.xformers and shared.xformers_available and torch.version.cuda and torch.cuda.get_device_capability(shared.device) == (8, 6):
+ 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 not cmd_opts.disable_opt_split_attention and (cmd_opts.opt_split_attention or torch.cuda.is_available()):
|