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import gradio as gr
import os
import argparse
from dreambooth_gui import dreambooth_tab
from finetune_gui import finetune_tab
from textual_inversion_gui import ti_tab
from library.utilities import utilities_tab
from lora_gui import lora_tab
from library.class_lora_tab import LoRATools
import os
from library.custom_logging import setup_logging
from library.localization_ext import add_javascript
# Set up logging
log = setup_logging()
def UI(**kwargs):
add_javascript(kwargs.get("language"))
css = ""
headless = kwargs.get("headless", False)
log.info(f"headless: {headless}")
if os.path.exists("./style.css"):
with open(os.path.join("./style.css"), "r", encoding="utf8") as file:
log.info("Load CSS...")
css += file.read() + "\n"
if os.path.exists("./.release"):
with open(os.path.join("./.release"), "r", encoding="utf8") as file:
release = file.read()
if os.path.exists("./README.md"):
with open(os.path.join("./README.md"), "r", encoding="utf8") as file:
README = file.read()
interface = gr.Blocks(
css=css, title=f"Kohya_ss GUI {release}", theme=gr.themes.Default()
)
with interface:
with gr.Tab("Dreambooth"):
(
train_data_dir_input,
reg_data_dir_input,
output_dir_input,
logging_dir_input,
) = dreambooth_tab(headless=headless)
with gr.Tab("LoRA"):
lora_tab(headless=headless)
with gr.Tab("Textual Inversion"):
ti_tab(headless=headless)
with gr.Tab("Finetuning"):
finetune_tab(headless=headless)
with gr.Tab("Utilities"):
utilities_tab(
train_data_dir_input=train_data_dir_input,
reg_data_dir_input=reg_data_dir_input,
output_dir_input=output_dir_input,
logging_dir_input=logging_dir_input,
enable_copy_info_button=True,
headless=headless,
)
with gr.Tab("LoRA"):
_ = LoRATools(headless=headless)
with gr.Tab("About"):
gr.Markdown(f"kohya_ss GUI release {release}")
with gr.Tab("README"):
gr.Markdown(README)
htmlStr = f"""
<html>
<body>
<div class="ver-class">{release}</div>
</body>
</html>
"""
gr.HTML(htmlStr)
# Show the interface
launch_kwargs = {}
username = kwargs.get("username")
password = kwargs.get("password")
server_port = kwargs.get("server_port", 0)
inbrowser = kwargs.get("inbrowser", False)
share = False
server_name = kwargs.get("listen")
launch_kwargs["server_name"] = server_name
if username and password:
launch_kwargs["auth"] = (username, password)
if server_port > 0:
launch_kwargs["server_port"] = server_port
if inbrowser:
launch_kwargs["inbrowser"] = inbrowser
if share:
launch_kwargs["share"] = False
interface.launch(**launch_kwargs, share=False)
if __name__ == "__main__":
# torch.cuda.set_per_process_memory_fraction(0.48)
parser = argparse.ArgumentParser()
parser.add_argument(
"--listen",
type=str,
default="127.0.0.1",
help="IP to listen on for connections to Gradio",
)
parser.add_argument(
"--username", type=str, default="", help="Username for authentication"
)
parser.add_argument(
"--password", type=str, default="", help="Password for authentication"
)
parser.add_argument(
"--server_port",
type=int,
default=0,
help="Port to run the server listener on",
)
parser.add_argument("--inbrowser", action="store_true", help="Open in browser")
parser.add_argument("--share", action="store_true", help="Share the gradio UI")
parser.add_argument(
"--headless", action="store_true", help="Is the server headless"
)
parser.add_argument(
"--language", type=str, default=None, help="Set custom language"
)
parser.add_argument("--use-ipex", action="store_true", help="Use IPEX environment")
args = parser.parse_args()
UI(
username=args.username,
password=args.password,
inbrowser=args.inbrowser,
server_port=args.server_port,
share=False,
listen=args.listen,
headless=args.headless,
language=args.language,
)
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