Releases: filipstrand/mflux
Releases · filipstrand/mflux
v.0.4.1
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 imagemflux-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