KohyaSS/library/utilities.py
bmaltais 045750b46a v20.6.0
- Increase max LoRA rank (dim) size to 1024.
    - Update finetune preprocessing scripts.
        - ``.bmp`` and ``.jpeg`` are supported. Thanks to breakcore2 and p1atdev!
        - The default weights of ``tag_images_by_wd14_tagger.py`` is now ``SmilingWolf/wd-v1-4-convnext-tagger-v2``. You can specify another model id from ``SmilingWolf`` by ``--repo_id`` option. Thanks to SmilingWolf for the great work.
        - To change the weight, remove ``wd14_tagger_model`` folder, and run the script again.
        - ``--max_data_loader_n_workers`` option is added to each script. This option uses the DataLoader for data loading to speed up loading, 20%~30% faster.
        - Please specify 2 or 4, depends on the number of CPU cores.
        - ``--recursive`` option is added to ``merge_dd_tags_to_metadata.py`` and ``merge_captions_to_metadata.py``, only works with ``--full_path``.
        - ``make_captions_by_git.py`` is added. It uses [GIT microsoft/git-large-textcaps](https://huggingface.co/microsoft/git-large-textcaps) for captioning.
        - ``requirements.txt`` is updated. If you use this script, [please update the libraries](https://github.com/kohya-ss/sd-scripts#upgrade).
        - Usage is almost the same as ``make_captions.py``, but batch size should be smaller.
        - ``--remove_words`` option removes as much text as possible (such as ``the word "XXXX" on it``).
        - ``--skip_existing`` option is added to ``prepare_buckets_latents.py``. Images with existing npz files are ignored by this option.
        - ``clean_captions_and_tags.py`` is updated to remove duplicated or conflicting tags, e.g. ``shirt`` is removed when ``white shirt`` exists. if ``black hair`` is with ``red hair``, both are removed.
    - Tag frequency is added to the metadata in ``train_network.py``. Thanks to space-nuko!
        - __All tags and number of occurrences of the tag are recorded.__ If you do not want it, disable metadata storing with ``--no_metadata`` option.
2023-02-04 08:36:35 -05:00

72 lines
2.0 KiB
Python

# v1: initial release
# v2: add open and save folder icons
# v3: Add new Utilities tab for Dreambooth folder preparation
# v3.1: Adding captionning of images to utilities
import gradio as gr
import os
import argparse
from library.basic_caption_gui import gradio_basic_caption_gui_tab
from library.convert_model_gui import gradio_convert_model_tab
from library.blip_caption_gui import gradio_blip_caption_gui_tab
from library.git_caption_gui import gradio_git_caption_gui_tab
from library.wd14_caption_gui import gradio_wd14_caption_gui_tab
def utilities_tab(
train_data_dir_input=gr.Textbox(),
reg_data_dir_input=gr.Textbox(),
output_dir_input=gr.Textbox(),
logging_dir_input=gr.Textbox(),
enable_copy_info_button=bool(False),
enable_dreambooth_tab=True,
):
with gr.Tab('Captioning'):
gradio_basic_caption_gui_tab()
gradio_blip_caption_gui_tab()
gradio_git_caption_gui_tab()
gradio_wd14_caption_gui_tab()
gradio_convert_model_tab()
return (
train_data_dir_input,
reg_data_dir_input,
output_dir_input,
logging_dir_input,
)
def UI(username, password):
css = ''
if os.path.exists('./style.css'):
with open(os.path.join('./style.css'), 'r', encoding='utf8') as file:
print('Load CSS...')
css += file.read() + '\n'
interface = gr.Blocks(css=css)
with interface:
utilities_tab()
# Show the interface
if not username == '':
interface.launch(auth=(username, password))
else:
interface.launch()
if __name__ == '__main__':
# torch.cuda.set_per_process_memory_fraction(0.48)
parser = argparse.ArgumentParser()
parser.add_argument(
'--username', type=str, default='', help='Username for authentication'
)
parser.add_argument(
'--password', type=str, default='', help='Password for authentication'
)
args = parser.parse_args()
UI(username=args.username, password=args.password)