lllyasviel/stable-diffusion-webui-forge
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Gradio 4 + WebUI 1.10

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layerdiffusion
2024-07-26 08:51:34 -07:00
parent e95333c556
commit e26abf87ec
201 changed files with 7562 additions and 4834 deletions
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5
modules/hypernetworks/hypernetwork.py
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@@ -11,7 +11,7 @@ import tqdm
from einops import rearrange, repeat
from ldm.util import default
from modules import devices, sd_models, shared, sd_samplers, hashes, sd_hijack_checkpoint, errors
from modules.textual_inversion import textual_inversion, logging
from modules.textual_inversion import textual_inversion, saving_settings
from modules.textual_inversion.learn_schedule import LearnRateScheduler
from torch import einsum
from torch.nn.init import normal_, xavier_normal_, xavier_uniform_, kaiming_normal_, kaiming_uniform_, zeros_
@@ -95,6 +95,7 @@ class HypernetworkModule(torch.nn.Module):
zeros_(b)
else:
raise KeyError(f"Key {weight_init} is not defined as initialization!")
devices.torch_npu_set_device()
self.to(devices.device)
def fix_old_state_dict(self, state_dict):
@@ -532,7 +533,7 @@ def train_hypernetwork(id_task, hypernetwork_name: str, learn_rate: float, batch
model_name=checkpoint.model_name, model_hash=checkpoint.shorthash, num_of_dataset_images=len(ds),
**{field: getattr(hypernetwork, field) for field in ['layer_structure', 'activation_func', 'weight_init', 'add_layer_norm', 'use_dropout', ]}
)
logging.save_settings_to_file(log_directory, {**saved_params, **locals()})
saving_settings.save_settings_to_file(log_directory, {**saved_params, **locals()})
latent_sampling_method = ds.latent_sampling_method