yeq6x/QIE-LoRA-training-with-musubi-tuner at 4a514b80fc668d39c1dca456fc72585d07649bba

55.8 kB

1 contributor

Enhance app.py by implementing a logging mechanism for training progress and model performance metrics. This addition improves monitoring capabilities during training sessions and aids in debugging.

4a514b8 14 days ago

.gitattributes

1.52 kB

initial commit 14 days ago
.gitignore

26 Bytes

Update .gitignore to include __pycache__ directory for better file management and to prevent unnecessary cache files from being tracked. 14 days ago
README.md

253 Bytes

initial commit 14 days ago
app.py

34.3 kB

Add hyperparameter overriding functionality in _prepare_script of app.py to allow safer and more flexible adjustments of learning rate, network dimension, seed, max training epochs, and save frequency. This enhances configurability for training scripts. 14 days ago
create_image_caption_json.py

9.17 kB

Implement target prefix/suffix functionality in app.py and create_image_caption_json.py for improved image processing. Update UI to reflect changes, enhancing user experience with clearer labeling and file handling. Refactor related functions to accommodate new naming conventions. 14 days ago
dataset_QIE.toml

274 Bytes

Implement initial project structure and setup 14 days ago
download_qwen_image_models.py

3.81 kB

Update default paths in app.py and download_qwen_image_models.py to use /data and /auto directories. Adjust metadata generation script to reflect new working directory structure. 14 days ago
requirements.txt

63 Bytes

Update app.py to remove outdated startup instructions from the UI, enhance train_QIE.sh to dynamically set cache_directory, and modify requirements.txt to specify a custom index URL for torchvision installation. 14 days ago
train_QIE.sh

4.49 kB

Refactor app.py to update prefix/suffix naming conventions for metadata creation and enhance UI with new training hyperparameter inputs. Modify train_QIE.sh to utilize dynamic hyperparameter values for training execution, improving configurability and user experience. 14 days ago
ui_preview.py

1.91 kB

Enhance app.py by implementing a logging mechanism for training progress and model performance metrics. This addition improves monitoring capabilities during training sessions and aids in debugging. 14 days ago