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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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@@ -209,7 +209,7 @@ def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=F
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else:
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x_in = torch.cat([x] * 2)
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t_in = torch.cat([t] * 2)
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if isinstance(c, dict):
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assert isinstance(unconditional_conditioning, dict)
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c_in = dict()
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@@ -278,7 +278,7 @@ def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=F
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x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t_prime, index)
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return x_prev, pred_x0, e_t
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# =================================================================================================
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# Monkey patch LatentInpaintDiffusion to load the checkpoint with a proper config.
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# Adapted from:
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@@ -325,7 +325,7 @@ def should_hijack_inpainting(checkpoint_info):
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def do_inpainting_hijack():
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# most of this stuff seems to no longer be needed because it is already included into SD2.0
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# p_sample_plms is needed because PLMS can't work with dicts as conditionings
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# this file should be cleaned up later if weverything tuens out to work fine
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# this file should be cleaned up later if everything turns out to work fine
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# ldm.models.diffusion.ddpm.get_unconditional_conditioning = get_unconditional_conditioning
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# ldm.models.diffusion.ddpm.LatentInpaintDiffusion = LatentInpaintDiffusion
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