MFLUX v.0.5.0 Release Notes

Major New Features

🎛️ DreamBooth Fine-tuning

• DreamBooth support: Introduced V1 of fine-tuning support in MFLUX
• Enables custom model training for personalized image generation
• Full fine-tuning pipeline with training configuration options

Architecture Improvements

🔧 Weight Management Overhaul

• Rewritten LoRA handling: Completely rewritten LoRA weight handling system
• Improved performance and reliability for LoRA operations
• Better support for complex LoRA workflows

Developer Experience

🧪 Testing & Quality

• Enhanced test coverage: Added comprehensive tests for new and existing features
• Multi-LoRA testing support
• Local model saving test coverage

📊 New Dependencies

• Matplotlib integration: Added matplotlib for visualizing training loss during fine-tuning
• TOML support: Added TOML library for better handling of MFLUX version metadata
• Enhanced configuration management