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import os | |
import threading | |
import time | |
import importlib | |
import signal | |
import threading | |
from modules.paths import script_path | |
from modules import devices, sd_samplers | |
import modules.codeformer_model as codeformer | |
import modules.extras | |
import modules.face_restoration | |
import modules.gfpgan_model as gfpgan | |
import modules.img2img | |
import modules.lowvram | |
import modules.paths | |
import modules.scripts | |
import modules.sd_hijack | |
import modules.sd_models | |
import modules.shared as shared | |
import modules.txt2img | |
import modules.ui | |
from modules import devices | |
from modules import modelloader | |
from modules.paths import script_path | |
from modules.shared import cmd_opts | |
modelloader.cleanup_models() | |
modules.sd_models.setup_model() | |
codeformer.setup_model(cmd_opts.codeformer_models_path) | |
gfpgan.setup_model(cmd_opts.gfpgan_models_path) | |
shared.face_restorers.append(modules.face_restoration.FaceRestoration()) | |
modelloader.load_upscalers() | |
queue_lock = threading.Lock() | |
def wrap_queued_call(func): | |
def f(*args, **kwargs): | |
with queue_lock: | |
res = func(*args, **kwargs) | |
return res | |
return f | |
def wrap_gradio_gpu_call(func, extra_outputs=None): | |
def f(*args, **kwargs): | |
devices.torch_gc() | |
shared.state.sampling_step = 0 | |
shared.state.job_count = -1 | |
shared.state.job_no = 0 | |
shared.state.job_timestamp = shared.state.get_job_timestamp() | |
shared.state.current_latent = None | |
shared.state.current_image = None | |
shared.state.current_image_sampling_step = 0 | |
shared.state.interrupted = False | |
shared.state.textinfo = None | |
with queue_lock: | |
res = func(*args, **kwargs) | |
shared.state.job = "" | |
shared.state.job_count = 0 | |
devices.torch_gc() | |
return res | |
return modules.ui.wrap_gradio_call(f, extra_outputs=extra_outputs) | |
modules.scripts.load_scripts(os.path.join(script_path, "scripts")) | |
shared.sd_model = modules.sd_models.load_model() | |
shared.opts.onchange("sd_model_checkpoint", wrap_queued_call(lambda: modules.sd_models.reload_model_weights(shared.sd_model))) | |
def webui(): | |
# make the program just exit at ctrl+c without waiting for anything | |
def sigint_handler(sig, frame): | |
print(f'Interrupted with signal {sig} in {frame}') | |
os._exit(0) | |
signal.signal(signal.SIGINT, sigint_handler) | |
while 1: | |
demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call) | |
demo.launch( | |
share=cmd_opts.share, | |
server_name="0.0.0.0" if cmd_opts.listen else None, | |
server_port=cmd_opts.port, | |
debug=cmd_opts.gradio_debug, | |
auth=[tuple(cred.split(':')) for cred in cmd_opts.gradio_auth.strip('"').split(',')] if cmd_opts.gradio_auth else None, | |
inbrowser=cmd_opts.autolaunch, | |
prevent_thread_lock=True | |
) | |
while 1: | |
time.sleep(0.5) | |
if getattr(demo, 'do_restart', False): | |
time.sleep(0.5) | |
demo.close() | |
time.sleep(0.5) | |
break | |
sd_samplers.set_samplers() | |
print('Reloading Custom Scripts') | |
modules.scripts.reload_scripts(os.path.join(script_path, "scripts")) | |
print('Reloading modules: modules.ui') | |
importlib.reload(modules.ui) | |
print('Restarting Gradio') | |
if __name__ == "__main__": | |
webui() | |