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style changes for #14979
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@ -552,36 +552,48 @@ def repair_config(sd_config):
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karlo_path = os.path.join(paths.models_path, 'karlo')
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sd_config.model.params.noise_aug_config.params.clip_stats_path = sd_config.model.params.noise_aug_config.params.clip_stats_path.replace("checkpoints/karlo_models", karlo_path)
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def rescale_zero_terminal_snr_abar(alphas_cumprod):
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alphas_bar_sqrt = alphas_cumprod.sqrt()
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# Store old values.
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alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone()
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alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone()
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# Shift so the last timestep is zero.
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alphas_bar_sqrt -= (alphas_bar_sqrt_T)
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# Scale so the first timestep is back to the old value.
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alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T)
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# Convert alphas_bar_sqrt to betas
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alphas_bar = alphas_bar_sqrt ** 2 # Revert sqrt
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alphas_bar[-1] = 4.8973451890853435e-08
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return alphas_bar
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def apply_alpha_schedule_override(sd_model, p=None):
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def rescale_zero_terminal_snr_abar(alphas_cumprod):
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alphas_bar_sqrt = alphas_cumprod.sqrt()
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"""
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Applies an override to the alpha schedule of the model according to settings.
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- downcasts the alpha schedule to half precision
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- rescales the alpha schedule to have zero terminal SNR
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"""
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# Store old values.
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alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone()
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alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone()
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if not hasattr(sd_model, 'alphas_cumprod') or not hasattr(sd_model, 'alphas_cumprod_original'):
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return
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# Shift so the last timestep is zero.
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alphas_bar_sqrt -= (alphas_bar_sqrt_T)
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sd_model.alphas_cumprod = sd_model.alphas_cumprod_original.to(shared.device)
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# Scale so the first timestep is back to the old value.
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alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T)
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if opts.use_downcasted_alpha_bar:
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if p is not None:
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p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar
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sd_model.alphas_cumprod = sd_model.alphas_cumprod.half().to(shared.device)
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# Convert alphas_bar_sqrt to betas
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alphas_bar = alphas_bar_sqrt**2 # Revert sqrt
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alphas_bar[-1] = 4.8973451890853435e-08
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return alphas_bar
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if opts.sd_noise_schedule == "Zero Terminal SNR":
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if p is not None:
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p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule
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sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(sd_model.alphas_cumprod).to(shared.device)
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if hasattr(sd_model, 'alphas_cumprod') and hasattr(sd_model, 'alphas_cumprod_original'):
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sd_model.alphas_cumprod = sd_model.alphas_cumprod_original.to(shared.device)
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if opts.use_downcasted_alpha_bar:
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if p is not None:
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p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar
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sd_model.alphas_cumprod = sd_model.alphas_cumprod.half().to(shared.device)
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if opts.sd_noise_schedule == "Zero Terminal SNR":
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if p is not None:
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p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule
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sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(sd_model.alphas_cumprod).to(shared.device)
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sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
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sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
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