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Configuration error
Configuration error
import html | |
import gradio as gr | |
import modules.hypernetworks.hypernetwork | |
from modules import devices, sd_hijack, shared | |
not_available = ["hardswish", "multiheadattention"] | |
keys = [x for x in modules.hypernetworks.hypernetwork.HypernetworkModule.activation_dict if x not in not_available] | |
def create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, dropout_structure=None): | |
filename = modules.hypernetworks.hypernetwork.create_hypernetwork(name, enable_sizes, overwrite_old, layer_structure, activation_func, weight_init, add_layer_norm, use_dropout, dropout_structure) | |
return gr.Dropdown.update(choices=sorted(shared.hypernetworks)), f"Created: {filename}", "" | |
def train_hypernetwork(*args): | |
shared.loaded_hypernetworks = [] | |
assert not shared.cmd_opts.lowvram, 'Training models with lowvram is not possible' | |
try: | |
sd_hijack.undo_optimizations() | |
hypernetwork, filename = modules.hypernetworks.hypernetwork.train_hypernetwork(*args) | |
res = f""" | |
Training {'interrupted' if shared.state.interrupted else 'finished'} at {hypernetwork.step} steps. | |
Hypernetwork saved to {html.escape(filename)} | |
""" | |
return res, "" | |
except Exception: | |
raise | |
finally: | |
shared.sd_model.cond_stage_model.to(devices.device) | |
shared.sd_model.first_stage_model.to(devices.device) | |
sd_hijack.apply_optimizations() | |