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import os
import threading
from modules.paths import script_path
import torch
from omegaconf import OmegaConf
import signal
from ldm.util import instantiate_from_config
from modules.shared import opts, cmd_opts, state
import modules.shared as shared
import modules.ui
import modules.scripts
import modules.sd_hijack
import modules.codeformer_model
import modules.gfpgan_model
import modules.face_restoration
import modules.realesrgan_model as realesrgan
import modules.esrgan_model as esrgan
import modules.extras
import modules.lowvram
import modules.txt2img
import modules.img2img
modules.codeformer_model.setup_codeformer()
modules.gfpgan_model.setup_gfpgan()
shared.face_restorers.append(modules.face_restoration.FaceRestoration())
esrgan.load_models(cmd_opts.esrgan_models_path)
realesrgan.setup_realesrgan()
def load_model_from_config(config, ckpt, verbose=False):
print(f"Loading model from {ckpt}")
pl_sd = torch.load(ckpt, map_location="cpu")
if "global_step" in pl_sd:
print(f"Global Step: {pl_sd['global_step']}")
sd = pl_sd["state_dict"]
model = instantiate_from_config(config.model)
m, u = model.load_state_dict(sd, strict=False)
if len(m) > 0 and verbose:
print("missing keys:")
print(m)
if len(u) > 0 and verbose:
print("unexpected keys:")
print(u)
model.eval()
return model
queue_lock = threading.Lock()
def wrap_gradio_gpu_call(func):
def f(*args, **kwargs):
shared.state.sampling_step = 0
shared.state.job_count = -1
shared.state.job_no = 0
shared.state.current_latent = None
shared.state.current_image = None
shared.state.current_image_sampling_step = 0
with queue_lock:
res = func(*args, **kwargs)
shared.state.job = ""
shared.state.job_count = 0
return res
return modules.ui.wrap_gradio_call(f)
modules.scripts.load_scripts(os.path.join(script_path, "scripts"))
try:
# this silences the annoying "Some weights of the model checkpoint were not used when initializing..." message at start.
from transformers import logging
logging.set_verbosity_error()
except Exception:
pass
sd_config = OmegaConf.load(cmd_opts.config)
shared.sd_model = load_model_from_config(sd_config, cmd_opts.ckpt)
shared.sd_model = (shared.sd_model if cmd_opts.no_half else shared.sd_model.half())
if cmd_opts.lowvram or cmd_opts.medvram:
modules.lowvram.setup_for_low_vram(shared.sd_model, cmd_opts.medvram)
else:
shared.sd_model = shared.sd_model.to(shared.device)
modules.sd_hijack.model_hijack.hijack(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)
demo = modules.ui.create_ui(
txt2img=wrap_gradio_gpu_call(modules.txt2img.txt2img),
img2img=wrap_gradio_gpu_call(modules.img2img.img2img),
run_extras=wrap_gradio_gpu_call(modules.extras.run_extras),
run_pnginfo=modules.extras.run_pnginfo
)
demo.launch(share=cmd_opts.share, server_name="0.0.0.0" if cmd_opts.listen else None, server_port=cmd_opts.port)
if __name__ == "__main__":
webui()
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