import os import threading import time import importlib import signal import threading from fastapi import FastAPI from fastapi.middleware.gzip import GZipMiddleware 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 import modules.hypernetworks.hypernetwork 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.skipped = False 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) def initialize(): 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() 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))) shared.opts.onchange("sd_hypernetwork", wrap_queued_call(lambda: modules.hypernetworks.hypernetwork.load_hypernetwork(shared.opts.sd_hypernetwork))) shared.opts.onchange("sd_hypernetwork_strength", modules.hypernetworks.hypernetwork.apply_strength) # 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) def create_api(app): from modules.api.api import Api api = Api(app, queue_lock) return api def wait_on_server(demo=None): while 1: time.sleep(0.5) if demo and getattr(demo, 'do_restart', False): time.sleep(0.5) demo.close() time.sleep(0.5) break def api_only(): initialize() app = FastAPI() app.add_middleware(GZipMiddleware, minimum_size=1000) api = create_api(app) api.launch(server_name="0.0.0.0" if cmd_opts.listen else "127.0.0.1", port=cmd_opts.port if cmd_opts.port else 7861) def webui(launch_api=False): initialize() while 1: demo = modules.ui.create_ui(wrap_gradio_gpu_call=wrap_gradio_gpu_call) app, local_url, share_url = 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 ) app.add_middleware(GZipMiddleware, minimum_size=1000) if (launch_api): create_api(app) wait_on_server(demo) 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('Refreshing Model List') modules.sd_models.list_models() print('Restarting Gradio') task = [] if __name__ == "__main__": if cmd_opts.nowebui: api_only() else: webui(cmd_opts.api)