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import gradio as gr
from easygui import msgbox
import subprocess
import os
from .common_gui import (
get_saveasfilename_path,
get_any_file_path,
get_file_path,
)
from library.custom_logging import setup_logging
# Set up logging
log = setup_logging()
folder_symbol = '\U0001f4c2' # 📂
refresh_symbol = '\U0001f504' # 🔄
save_style_symbol = '\U0001f4be' # 💾
document_symbol = '\U0001F4C4' # 📄
PYTHON = 'python3' if os.name == 'posix' else './venv/Scripts/python.exe'
def svd_merge_lora(
lora_a_model,
lora_b_model,
lora_c_model,
lora_d_model,
ratio_a,
ratio_b,
ratio_c,
ratio_d,
save_to,
precision,
save_precision,
new_rank,
new_conv_rank,
device,
):
# Check if the output file already exists
if os.path.isfile(save_to):
print(f"Output file '{save_to}' already exists. Aborting.")
return
# Check if the ratio total is equal to one. If not mormalise to 1
total_ratio = ratio_a + ratio_b + ratio_c + ratio_d
if total_ratio != 1:
ratio_a /= total_ratio
ratio_b /= total_ratio
ratio_c /= total_ratio
ratio_d /= total_ratio
run_cmd = f'{PYTHON} "{os.path.join("networks","svd_merge_lora.py")}"'
run_cmd += f' --save_precision {save_precision}'
run_cmd += f' --precision {precision}'
run_cmd += f' --save_to "{save_to}"'
run_cmd_models = ' --models'
run_cmd_ratios = ' --ratios'
# Add non-empty models and their ratios to the command
if lora_a_model:
if not os.path.isfile(lora_a_model):
msgbox('The provided model A is not a file')
return
run_cmd_models += f' "{lora_a_model}"'
run_cmd_ratios += f' {ratio_a}'
if lora_b_model:
if not os.path.isfile(lora_b_model):
msgbox('The provided model B is not a file')
return
run_cmd_models += f' "{lora_b_model}"'
run_cmd_ratios += f' {ratio_b}'
if lora_c_model:
if not os.path.isfile(lora_c_model):
msgbox('The provided model C is not a file')
return
run_cmd_models += f' "{lora_c_model}"'
run_cmd_ratios += f' {ratio_c}'
if lora_d_model:
if not os.path.isfile(lora_d_model):
msgbox('The provided model D is not a file')
return
run_cmd_models += f' "{lora_d_model}"'
run_cmd_ratios += f' {ratio_d}'
run_cmd += run_cmd_models
run_cmd += run_cmd_ratios
run_cmd += f' --device {device}'
run_cmd += f' --new_rank "{new_rank}"'
run_cmd += f' --new_conv_rank "{new_conv_rank}"'
log.info(run_cmd)
# Run the command
if os.name == 'posix':
os.system(run_cmd)
else:
subprocess.run(run_cmd)
###
# Gradio UI
###
def gradio_svd_merge_lora_tab(headless=False):
with gr.Tab('Merge LoRA (SVD)'):
gr.Markdown('This utility can merge two LoRA networks together into a new LoRA.')
lora_ext = gr.Textbox(value='*.safetensors *.pt', visible=False)
lora_ext_name = gr.Textbox(value='LoRA model types', visible=False)
with gr.Row():
lora_a_model = gr.Textbox(
label='LoRA model "A"',
placeholder='Path to the LoRA A model',
interactive=True,
)
button_lora_a_model_file = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
button_lora_a_model_file.click(
get_file_path,
inputs=[lora_a_model, lora_ext, lora_ext_name],
outputs=lora_a_model,
show_progress=False,
)
lora_b_model = gr.Textbox(
label='LoRA model "B"',
placeholder='Path to the LoRA B model',
interactive=True,
)
button_lora_b_model_file = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
button_lora_b_model_file.click(
get_file_path,
inputs=[lora_b_model, lora_ext, lora_ext_name],
outputs=lora_b_model,
show_progress=False,
)
with gr.Row():
ratio_a = gr.Slider(
label='Merge ratio model A',
minimum=0,
maximum=1,
step=0.01,
value=0.25,
interactive=True,
)
ratio_b = gr.Slider(
label='Merge ratio model B',
minimum=0,
maximum=1,
step=0.01,
value=0.25,
interactive=True,
)
with gr.Row():
lora_c_model = gr.Textbox(
label='LoRA model "C"',
placeholder='Path to the LoRA C model',
interactive=True,
)
button_lora_c_model_file = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
button_lora_c_model_file.click(
get_file_path,
inputs=[lora_c_model, lora_ext, lora_ext_name],
outputs=lora_c_model,
show_progress=False,
)
lora_d_model = gr.Textbox(
label='LoRA model "D"',
placeholder='Path to the LoRA D model',
interactive=True,
)
button_lora_d_model_file = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
button_lora_d_model_file.click(
get_file_path,
inputs=[lora_d_model, lora_ext, lora_ext_name],
outputs=lora_d_model,
show_progress=False,
)
with gr.Row():
ratio_c = gr.Slider(
label='Merge ratio model C',
minimum=0,
maximum=1,
step=0.01,
value=0.25,
interactive=True,
)
ratio_d = gr.Slider(
label='Merge ratio model D',
minimum=0,
maximum=1,
step=0.01,
value=0.25,
interactive=True,
)
with gr.Row():
new_rank = gr.Slider(
label='New Rank',
minimum=1,
maximum=1024,
step=1,
value=128,
interactive=True,
)
new_conv_rank = gr.Slider(
label='New Conv Rank',
minimum=1,
maximum=1024,
step=1,
value=128,
interactive=True,
)
with gr.Row():
save_to = gr.Textbox(
label='Save to',
placeholder='path for the new LoRA file to save...',
interactive=True,
)
button_save_to = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
button_save_to.click(
get_saveasfilename_path,
inputs=[save_to, lora_ext, lora_ext_name],
outputs=save_to,
show_progress=False,
)
with gr.Row():
precision = gr.Dropdown(
label='Merge precision',
choices=['fp16', 'bf16', 'float'],
value='float',
interactive=True,
)
save_precision = gr.Dropdown(
label='Save precision',
choices=['fp16', 'bf16', 'float'],
value='float',
interactive=True,
)
device = gr.Dropdown(
label='Device',
choices=[
'cpu',
'cuda',
],
value='cuda',
interactive=True,
)
convert_button = gr.Button('Merge model')
convert_button.click(
svd_merge_lora,
inputs=[
lora_a_model,
lora_b_model,
lora_c_model,
lora_d_model,
ratio_a,
ratio_b,
ratio_c,
ratio_d,
save_to,
precision,
save_precision,
new_rank,
new_conv_rank,
device,
],
show_progress=False,
)
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