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do not replace entire unet for the resolution hack

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AUTOMATIC
2022-12-10 09:14:30 +03:00
parent 2641d1b83b
commit 7dbfd8a7d8
3 changed files with 33 additions and 30 deletions
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5
modules/sd_hijack.py
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@@ -11,7 +11,7 @@ import modules.textual_inversion.textual_inversion
from modules import prompt_parser, devices, sd_hijack_optimizations, shared, sd_hijack_checkpoint
from modules.hypernetworks import hypernetwork
from modules.shared import opts, device, cmd_opts
from modules import sd_hijack_clip, sd_hijack_open_clip
from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet
from modules.sd_hijack_optimizations import invokeAI_mps_available
@@ -35,11 +35,12 @@ ldm.modules.attention.BasicTransformerBlock.ATTENTION_MODES["softmax-xformers"]
ldm.modules.attention.print = lambda *args: None
ldm.modules.diffusionmodules.model.print = lambda *args: None
def apply_optimizations():
undo_optimizations()
ldm.modules.diffusionmodules.model.nonlinearity = silu
ldm.modules.diffusionmodules.openaimodel.UNetModel.forward = sd_hijack_optimizations.patched_unet_forward
ldm.modules.diffusionmodules.openaimodel.th = sd_hijack_unet.th
if cmd_opts.force_enable_xformers or (cmd_opts.xformers and shared.xformers_available and torch.version.cuda and (6, 0) <= torch.cuda.get_device_capability(shared.device) <= (9, 0)):
print("Applying xformers cross attention optimization.")