File size: 6,511 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 |
import gradio as gr
from easygui import msgbox
import subprocess
from .common_gui import get_folder_path, add_pre_postfix
import os
from library.custom_logging import setup_logging
# Set up logging
log = setup_logging()
def caption_images(
train_data_dir,
caption_extension,
batch_size,
general_threshold,
character_threshold,
replace_underscores,
model,
recursive,
max_data_loader_n_workers,
debug,
undesired_tags,
frequency_tags,
prefix,
postfix,
):
# Check for images_dir_input
if train_data_dir == '':
msgbox('Image folder is missing...')
return
if caption_extension == '':
msgbox('Please provide an extension for the caption files.')
return
log.info(f'Captioning files in {train_data_dir}...')
run_cmd = f'accelerate launch "./finetune/tag_images_by_wd14_tagger.py"'
run_cmd += f' --batch_size={int(batch_size)}'
run_cmd += f' --general_threshold={general_threshold}'
run_cmd += f' --character_threshold={character_threshold}'
run_cmd += f' --caption_extension="{caption_extension}"'
run_cmd += f' --model="{model}"'
run_cmd += (
f' --max_data_loader_n_workers="{int(max_data_loader_n_workers)}"'
)
if recursive:
run_cmd += f' --recursive'
if debug:
run_cmd += f' --debug'
if replace_underscores:
run_cmd += f' --remove_underscore'
if frequency_tags:
run_cmd += f' --frequency_tags'
if not undesired_tags == '':
run_cmd += f' --undesired_tags="{undesired_tags}"'
run_cmd += f' "{train_data_dir}"'
log.info(run_cmd)
# Run the command
if os.name == 'posix':
os.system(run_cmd)
else:
subprocess.run(run_cmd)
# Add prefix and postfix
add_pre_postfix(
folder=train_data_dir,
caption_file_ext=caption_extension,
prefix=prefix,
postfix=postfix,
)
log.info('...captioning done')
###
# Gradio UI
###
def gradio_wd14_caption_gui_tab(headless=False):
with gr.Tab('WD14 Captioning'):
gr.Markdown(
'This utility will use WD14 to caption files for each images in a folder.'
)
# Input Settings
# with gr.Section('Input Settings'):
with gr.Row():
train_data_dir = gr.Textbox(
label='Image folder to caption',
placeholder='Directory containing the images to caption',
interactive=True,
)
button_train_data_dir_input = gr.Button(
'📂', elem_id='open_folder_small', visible=(not headless)
)
button_train_data_dir_input.click(
get_folder_path,
outputs=train_data_dir,
show_progress=False,
)
caption_extension = gr.Textbox(
label='Caption file extension',
placeholder='Extention for caption file. eg: .caption, .txt',
value='.txt',
interactive=True,
)
undesired_tags = gr.Textbox(
label='Undesired tags',
placeholder='(Optional) Separate `undesired_tags` with comma `(,)` if you want to remove multiple tags, e.g. `1girl,solo,smile`.',
interactive=True,
)
with gr.Row():
prefix = gr.Textbox(
label='Prefix to add to WD14 caption',
placeholder='(Optional)',
interactive=True,
)
postfix = gr.Textbox(
label='Postfix to add to WD14 caption',
placeholder='(Optional)',
interactive=True,
)
with gr.Row():
replace_underscores = gr.Checkbox(
label='Replace underscores in filenames with spaces',
value=True,
interactive=True,
)
recursive = gr.Checkbox(
label='Recursive',
value=False,
info='Tag subfolders images as well',
)
debug = gr.Checkbox(
label='Verbose logging',
value=True,
info='Debug while tagging, it will print your image file with general tags and character tags.',
)
frequency_tags = gr.Checkbox(
label='Show tags frequency',
value=True,
info='Show frequency of tags for images.',
)
# Model Settings
with gr.Row():
model = gr.Dropdown(
label='Model',
choices=[
'SmilingWolf/wd-v1-4-convnext-tagger-v2',
'SmilingWolf/wd-v1-4-convnextv2-tagger-v2',
'SmilingWolf/wd-v1-4-vit-tagger-v2',
'SmilingWolf/wd-v1-4-swinv2-tagger-v2',
],
value='SmilingWolf/wd-v1-4-convnextv2-tagger-v2',
)
general_threshold = gr.Slider(
value=0.35,
label='General threshold',
info='Adjust `general_threshold` for pruning tags (less tags, less flexible)',
minimum=0,
maximum=1,
step=0.05,
)
character_threshold = gr.Slider(
value=0.35,
label='Character threshold',
info='useful if you want to train with character',
minimum=0,
maximum=1,
step=0.05,
)
# Advanced Settings
with gr.Row():
batch_size = gr.Number(
value=8, label='Batch size', interactive=True
)
max_data_loader_n_workers = gr.Number(
value=2, label='Max dataloader workers', interactive=True
)
caption_button = gr.Button('Caption images')
caption_button.click(
caption_images,
inputs=[
train_data_dir,
caption_extension,
batch_size,
general_threshold,
character_threshold,
replace_underscores,
model,
recursive,
max_data_loader_n_workers,
debug,
undesired_tags,
frequency_tags,
prefix,
postfix,
],
show_progress=False,
)
|