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-rw-r--r--modules/sd_hijack.py7
-rw-r--r--modules/sd_unet.py14
2 files changed, 13 insertions, 8 deletions
diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py
index 14fe62c7..e139d996 100644
--- a/modules/sd_hijack.py
+++ b/modules/sd_hijack.py
@@ -38,8 +38,11 @@ ldm.models.diffusion.ddpm.print = shared.ldm_print
optimizers = []
current_optimizer: sd_hijack_optimizations.SdOptimization = None
-ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
-sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
+ldm_patched_forward = sd_unet.create_unet_forward(ldm.modules.diffusionmodules.openaimodel.UNetModel.forward)
+ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", ldm_patched_forward)
+
+sgm_patched_forward = sd_unet.create_unet_forward(sgm.modules.diffusionmodules.openaimodel.UNetModel.forward)
+sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sgm_patched_forward)
def list_optimizers():
diff --git a/modules/sd_unet.py b/modules/sd_unet.py
index 6a7bc9e2..a771849c 100644
--- a/modules/sd_unet.py
+++ b/modules/sd_unet.py
@@ -5,8 +5,7 @@ from modules import script_callbacks, shared, devices
unet_options = []
current_unet_option = None
current_unet = None
-original_forward = None
-
+original_forward = None # not used, only left temporarily for compatibility
def list_unets():
new_unets = script_callbacks.list_unets_callback()
@@ -84,9 +83,12 @@ class SdUnet(torch.nn.Module):
pass
-def UNetModel_forward(self, x, timesteps=None, context=None, *args, **kwargs):
- if current_unet is not None:
- return current_unet.forward(x, timesteps, context, *args, **kwargs)
+def create_unet_forward(original_forward):
+ def UNetModel_forward(self, x, timesteps=None, context=None, *args, **kwargs):
+ if current_unet is not None:
+ return current_unet.forward(x, timesteps, context, *args, **kwargs)
+
+ return original_forward(self, x, timesteps, context, *args, **kwargs)
- return original_forward(self, x, timesteps, context, *args, **kwargs)
+ return UNetModel_forward