MFLUX v.0.2.0 Release Notes
Major Milestone
🚀 Official PyPI Release
- First official PyPI release:
pip install mflux- making MFLUX easily installable for everyone - Big thanks to @deto for letting us have the "mflux" name on PyPI!
New Features
🎨 Core Image Generation
- Command-line tools: Introduced dedicated commands for better user experience
mflux-generatefor generating imagesmflux-savefor saving quantized models to disk
- 🗜️ Quantization support: Added support for quantized models with 4-bit and 8-bit precision
- LoRA weights: Added support for loading trained LoRA (Low-Rank Adaptation) weights
- Automatic metadata: Images now automatically save metadata when generated
Developer Experience
📦 Distribution
- Official packaging and distribution through PyPI
- Simplified installation process for end users
- Professional project structure and naming