Fix bug where is_using_v_parameterization_for_sd2 fails because the sd_hijack is only partially undone
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@ -38,9 +38,6 @@ ldm.models.diffusion.ddpm.print = shared.ldm_print
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optimizers = []
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current_optimizer: sd_hijack_optimizations.SdOptimization = None
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ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
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sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
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def list_optimizers():
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new_optimizers = script_callbacks.list_optimizers_callback()
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@ -258,6 +255,9 @@ class StableDiffusionModelHijack:
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import modules.models.diffusion.ddpm_edit
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ldm_original_forward = patches.patch(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
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sgm_original_forward = patches.patch(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward", sd_unet.UNetModel_forward)
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if isinstance(m, ldm.models.diffusion.ddpm.LatentDiffusion):
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sd_unet.original_forward = ldm_original_forward
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elif isinstance(m, modules.models.diffusion.ddpm_edit.LatentDiffusion):
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@ -303,6 +303,9 @@ class StableDiffusionModelHijack:
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self.layers = None
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self.clip = None
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patches.undo(__file__, ldm.modules.diffusionmodules.openaimodel.UNetModel, "forward")
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patches.undo(__file__, sgm.modules.diffusionmodules.openaimodel.UNetModel, "forward")
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sd_unet.original_forward = None
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