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some extra lines I forgot to add for previous commit

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AUTOMATIC 2023-04-29 16:05:20 +03:00
parent 1d11e89698
commit 737b73a820
1 changed files with 2 additions and 3 deletions
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5
modules/sd_samplers_kdiffusion.py
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@ -156,11 +156,10 @@ class CFGDenoiser(torch.nn.Module):
if not skip_uncond: if not skip_uncond:
x_out[-uncond.shape[0]:] = self.inner_model(x_in[-uncond.shape[0]:], sigma_in[-uncond.shape[0]:], cond=make_condition_dict([uncond], image_cond_in[-uncond.shape[0]:])) x_out[-uncond.shape[0]:] = self.inner_model(x_in[-uncond.shape[0]:], sigma_in[-uncond.shape[0]:], cond=make_condition_dict([uncond], image_cond_in[-uncond.shape[0]:]))
denoised_image_indexes = [x[0][0] for x in conds_list]
if skip_uncond: if skip_uncond:
#x_out = torch.cat([x_out, x_out[0:batch_size]]) # we skipped uncond denoising, so we put cond-denoised image to where the uncond-denoised image should be
denoised_image_indexes = [x[0][0] for x in conds_list]
fake_uncond = torch.cat([x_out[i:i+1] for i in denoised_image_indexes]) fake_uncond = torch.cat([x_out[i:i+1] for i in denoised_image_indexes])
x_out = torch.cat([x_out, fake_uncond]) x_out = torch.cat([x_out, fake_uncond]) # we skipped uncond denoising, so we put cond-denoised image to where the uncond-denoised image should be
denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps) denoised_params = CFGDenoisedParams(x_out, state.sampling_step, state.sampling_steps)
cfg_denoised_callback(denoised_params) cfg_denoised_callback(denoised_params)