File size: 8,869 Bytes
fe6327d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 |
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 check_model(model):
if not model:
return True
if not os.path.isfile(model):
msgbox(f'The provided {model} is not a file')
return False
return True
def verify_conditions(sd_model, lora_models):
lora_models_count = sum(1 for model in lora_models if model)
if sd_model and lora_models_count >= 1:
return True
elif not sd_model and lora_models_count >= 2:
return True
return False
def merge_lora(
sd_model,
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,
):
log.info('Merge model...')
models = [sd_model, lora_a_model, lora_b_model, lora_c_model, lora_d_model]
lora_models = models[1:]
ratios = [ratio_a, ratio_b, ratio_c, ratio_d]
if not verify_conditions(sd_model, lora_models):
log.info(
'Warning: Either provide at least one LoRa model along with the sd_model or at least two LoRa models if no sd_model is provided.'
)
return
for model in models:
if not check_model(model):
return
run_cmd = f'{PYTHON} "{os.path.join("networks","merge_lora.py")}"'
if sd_model:
run_cmd += f' --sd_model "{sd_model}"'
run_cmd += f' --save_precision {save_precision}'
run_cmd += f' --precision {precision}'
run_cmd += f' --save_to "{save_to}"'
# Create a space-separated string of non-empty models (from the second element onwards), enclosed in double quotes
models_cmd = ' '.join([f'"{model}"' for model in lora_models if model])
# Create a space-separated string of non-zero ratios corresponding to non-empty LoRa models
valid_ratios = [ratios[i] for i, model in enumerate(lora_models) if model]
ratios_cmd = ' '.join([str(ratio) for ratio in valid_ratios])
if models_cmd:
run_cmd += f' --models {models_cmd}'
run_cmd += f' --ratios {ratios_cmd}'
log.info(run_cmd)
# Run the command
if os.name == 'posix':
os.system(run_cmd)
else:
subprocess.run(run_cmd)
log.info('Done merging...')
###
# Gradio UI
###
def gradio_merge_lora_tab(headless=False):
with gr.Tab('Merge LoRA'):
gr.Markdown(
'This utility can merge up to 4 LoRA together or alternatively merge up to 4 LoRA into a SD checkpoint.'
)
lora_ext = gr.Textbox(value='*.safetensors *.pt', visible=False)
lora_ext_name = gr.Textbox(value='LoRA model types', visible=False)
ckpt_ext = gr.Textbox(value='*.safetensors *.ckpt', visible=False)
ckpt_ext_name = gr.Textbox(value='SD model types', visible=False)
with gr.Row():
sd_model = gr.Textbox(
label='SD Model',
placeholder='(Optional) Stable Diffusion model',
interactive=True,
info='Provide a SD file path IF you want to merge it with LoRA files',
)
sd_model_file = gr.Button(
folder_symbol,
elem_id='open_folder_small',
visible=(not headless),
)
sd_model_file.click(
get_file_path,
inputs=[sd_model, ckpt_ext, ckpt_ext_name],
outputs=sd_model,
show_progress=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='Model A merge ratio (eg: 0.5 mean 50%)',
minimum=0,
maximum=1,
step=0.01,
value=0.0,
interactive=True,
)
ratio_b = gr.Slider(
label='Model B merge ratio (eg: 0.5 mean 50%)',
minimum=0,
maximum=1,
step=0.01,
value=0.0,
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='Model C merge ratio (eg: 0.5 mean 50%)',
minimum=0,
maximum=1,
step=0.01,
value=0.0,
interactive=True,
)
ratio_d = gr.Slider(
label='Model D merge ratio (eg: 0.5 mean 50%)',
minimum=0,
maximum=1,
step=0.01,
value=0.0,
interactive=True,
)
with gr.Row():
save_to = gr.Textbox(
label='Save to',
placeholder='path for the 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,
)
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='fp16',
interactive=True,
)
merge_button = gr.Button('Merge model')
merge_button.click(
merge_lora,
inputs=[
sd_model,
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,
],
show_progress=False,
)
|