diff options
| -rw-r--r-- | modules/processing.py | 28 | ||||
| -rw-r--r-- | modules/sd_models.py | 32 |
2 files changed, 33 insertions, 27 deletions
diff --git a/modules/processing.py b/modules/processing.py index d208a922..411c7c3f 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -915,33 +915,7 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: if p.n_iter > 1:
shared.state.job = f"Batch {n+1} out of {p.n_iter}"
- def rescale_zero_terminal_snr_abar(alphas_cumprod):
- alphas_bar_sqrt = alphas_cumprod.sqrt()
-
- # Store old values.
- alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone()
- alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone()
-
- # Shift so the last timestep is zero.
- alphas_bar_sqrt -= (alphas_bar_sqrt_T)
-
- # Scale so the first timestep is back to the old value.
- alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T)
-
- # Convert alphas_bar_sqrt to betas
- alphas_bar = alphas_bar_sqrt**2 # Revert sqrt
- 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)
+ sd_models.apply_alpha_schedule_override(p.sd_model, p)
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)
diff --git a/modules/sd_models.py b/modules/sd_models.py index 2c045771..fbd53adb 100644 --- a/modules/sd_models.py +++ b/modules/sd_models.py @@ -15,6 +15,7 @@ from ldm.util import instantiate_from_config from modules import paths, shared, modelloader, devices, script_callbacks, sd_vae, sd_disable_initialization, errors, hashes, sd_models_config, sd_unet, sd_models_xl, cache, extra_networks, processing, lowvram, sd_hijack, patches
from modules.timer import Timer
+from modules.shared import opts
import tomesd
import numpy as np
@@ -549,6 +550,36 @@ def repair_config(sd_config): karlo_path = os.path.join(paths.models_path, 'karlo')
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)
+def apply_alpha_schedule_override(sd_model, p=None):
+ def rescale_zero_terminal_snr_abar(alphas_cumprod):
+ alphas_bar_sqrt = alphas_cumprod.sqrt()
+
+ # Store old values.
+ alphas_bar_sqrt_0 = alphas_bar_sqrt[0].clone()
+ alphas_bar_sqrt_T = alphas_bar_sqrt[-1].clone()
+
+ # Shift so the last timestep is zero.
+ alphas_bar_sqrt -= (alphas_bar_sqrt_T)
+
+ # Scale so the first timestep is back to the old value.
+ alphas_bar_sqrt *= alphas_bar_sqrt_0 / (alphas_bar_sqrt_0 - alphas_bar_sqrt_T)
+
+ # Convert alphas_bar_sqrt to betas
+ alphas_bar = alphas_bar_sqrt**2 # Revert sqrt
+ alphas_bar[-1] = 4.8973451890853435e-08
+ return alphas_bar
+
+ if hasattr(sd_model, 'alphas_cumprod') and hasattr(sd_model, 'alphas_cumprod_original'):
+ sd_model.alphas_cumprod = sd_model.alphas_cumprod_original.to(shared.device)
+
+ if opts.use_downcasted_alpha_bar:
+ if p is not None:
+ p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar
+ sd_model.alphas_cumprod = sd_model.alphas_cumprod.half().to(shared.device)
+ if opts.sd_noise_schedule == "Zero Terminal SNR":
+ if p is not None:
+ p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule
+ sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(sd_model.alphas_cumprod).to(shared.device)
sd1_clip_weight = 'cond_stage_model.transformer.text_model.embeddings.token_embedding.weight'
sd2_clip_weight = 'cond_stage_model.model.transformer.resblocks.0.attn.in_proj_weight'
@@ -812,6 +843,7 @@ def reload_model_weights(sd_model=None, info=None, forced_reload=False): sd_model = reuse_model_from_already_loaded(sd_model, checkpoint_info, timer)
if not forced_reload and sd_model is not None and sd_model.sd_checkpoint_info.filename == checkpoint_info.filename:
+ apply_alpha_schedule_override(sd_model)
return sd_model
if sd_model is not None:
|