v.0.5.1

Bug fix: Fix bug which caused locally saved quantized models to fail to set LoRA weights. With this fix, users should now be able to have a local quantized model on disk and load it with an external LoRA adapter.

v.0.5.0

Features

• DreamBooth fine-tuning support: V1 of fine-tuning support in MFLUX.

Developer Experience Improvements

• Better weight handling: Completely rewritten LoRA weight handling
• Better test coverage: Incudes more tests to cover new and existing features (such as for multi-lora and local model saving)
• New dependencies:
  • Adds matplotlib as dependency for visualizing training loss
  • Adds toml library as dependency for better handling of MFLUX version metadata.

v.0.4.1

Fix img2img for non-square image resolutions

v.0.4.0

Features

• Img2Img Support: Introduced the ability to generate images based on an initial reference image.
• Image Generation from Metadata: Added support to generate images directly from provided metadata files.
• Progressive Step Output: Optionally output each step of the image generation process, allowing for real-time monitoring.

Developer Experience Improvements

• Enhanced Command-Line Argument Handling: Improved parsing and validation for command-line arguments.
• Automated Testing: Added automatic tests for image generation and command-line argument handling.
• Pre-Commit Hooks: Integrated pre-commit hooks with ruff, isort, and typo checks for better code consistency.

v.0.3.0

• ControlNet Canny support
• Enhanced dev experience with uv, ruff, makefile, pre-commit, and more.
• Ability to export quantized model with LoRA weights baked in.
• Official MIT license is in place.

v0.2.1

Better LoRA support

v0.2.0

• Official PyPI release: pip install mflux -- Big thanks to @deto for letting us have this name!
• New commands:
  • mflux-generate for generating an image
  • mflux-save for saving a quantized model to disk
• Support for quantized models (4 bit and 8 bit)
• Support for loading trained LoRA weights
• Automatically saves metadata when saving an image