diff --git a/modules/sd_hijack.py b/modules/sd_hijack.py index 14fe62c73..e139d9964 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 6a7bc9e26..a771849c8 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