From 309a606c2fa645b6b8623f96ea56117e685a47fb Mon Sep 17 00:00:00 2001 From: drhead <1313496+drhead@users.noreply.github.com> Date: Sat, 2 Dec 2023 13:07:45 -0500 Subject: ensure that original alpha bar always exists --- modules/processing.py | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) (limited to 'modules/processing.py') diff --git a/modules/processing.py b/modules/processing.py index d73c8bfc..bfa59038 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -882,15 +882,17 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: alphas_bar[-1] = 4.8973451890853435e-08 return alphas_bar - if hasattr(p.sd_model, 'alphas_cumprod') and hasattr(p.sd_model, 'alphas_cumprod_original'): - p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod_original.to(shared.device) - - if opts.use_downcasted_alpha_bar: - p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar - p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod.half().to(shared.device) - if opts.sd_noise_schedule == "Zero Terminal SNR": - p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule - p.sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(p.sd_model.alphas_cumprod).to(shared.device) + if hasattr(p.sd_model, 'alphas_cumprod') and not hasattr(p.sd_model, 'alphas_cumprod_original'): + p.sd_model.alphas_cumprod_original = p.sd_model.alphas_cumprod + + p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod_original.to(shared.device) + + if opts.use_downcasted_alpha_bar: + p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar + p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod.half().to(shared.device) + if opts.sd_noise_schedule == "Zero Terminal SNR": + p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule + p.sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(p.sd_model.alphas_cumprod).to(shared.device) with devices.without_autocast() if devices.unet_needs_upcast else devices.autocast(): samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) -- cgit v1.2.1