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import gradio as gr
from library.merge_lora_gui import gradio_merge_lora_tab
from library.svd_merge_lora_gui import gradio_svd_merge_lora_tab
from library.verify_lora_gui import gradio_verify_lora_tab
from library.resize_lora_gui import gradio_resize_lora_tab
from library.extract_lora_gui import gradio_extract_lora_tab
from library.extract_lycoris_locon_gui import gradio_extract_lycoris_locon_tab
from library.extract_lora_from_dylora_gui import gradio_extract_dylora_tab
from library.merge_lycoris_gui import gradio_merge_lycoris_tab
# Deprecated code
from library.dataset_balancing_gui import gradio_dataset_balancing_tab
from library.dreambooth_folder_creation_gui import (
gradio_dreambooth_folder_creation_tab,
)
class LoRATools:
def __init__(self, folders = "", headless:bool = False):
self.headless = headless
self.folders = folders
gr.Markdown(
'This section provide LoRA tools to help setup your dataset...'
)
gradio_extract_dylora_tab(headless=headless)
gradio_extract_lora_tab(headless=headless)
gradio_extract_lycoris_locon_tab(headless=headless)
gradio_merge_lora_tab(headless=headless)
gradio_merge_lycoris_tab(headless=headless)
gradio_svd_merge_lora_tab(headless=headless)
gradio_resize_lora_tab(headless=headless)
gradio_verify_lora_tab(headless=headless)
if folders:
with gr.Tab('Deprecated'):
gradio_dreambooth_folder_creation_tab(
train_data_dir_input=folders.train_data_dir,
reg_data_dir_input=folders.reg_data_dir,
output_dir_input=folders.output_dir,
logging_dir_input=folders.logging_dir,
headless=headless,
)
gradio_dataset_balancing_tab(headless=headless) |