ControlNet LoRA Brightness Flux

--- license: apache-2.0 base_model: black-forest-labs/FLUX.1-dev tags: - flux - flux-diffusers - text-to-image - diffusers - lora - control - controlnet - brightness - grayscale - template:sd-lora widget: - text: "a beautiful garden scene with colorful flowers and butterflies, highly detailed, professional photography, vibrant colors" output: url: "https://huggingface.co/Oysiyl/flux-control-lora-brightness-10k/resolve/main/example.png" inference: true --- # FLUX ControlNet LoRA - Brightness Control (10k @ 1024×1024) A Control LoRA model trained on FLUX.1-dev to control image generation through brightness/grayscale information. This model uses **LoRA (Low-Rank Adaptation)** combined with ControlNet architecture for efficient control, providing an **ultra-lightweight control mechanism** for FLUX's powerful 12B parameter model. ## Model Description This Control LoRA enables brightness-based conditioning for FLUX image generation. By providing a grayscale image as input, you can control the brightness distribution and lighting structure while maintaining creative freedom through text prompts. ### Key Features: - 🎨 **Excellent brightness and pattern control** with FLUX's superior quality - 🚀 **Compact model size**: ~685MB per checkpoint - ⚡ **Fast inference**: Leverages FLUX's optimized architecture - 💡 **Fixed conditioning strength**: Baked into LoRA weights during training - 🔄 **Compatible with Diffusers**: Uses standard FluxControlPipeline - 📦 **Multiple checkpoints**: Track training progression at 25%, 50%, 75%, 100% - 🖼️ **Native FLUX resolution**: Trained at 1024×1024 - 🎯 **XLabs-proven parameters**: Validated hyperparameters for stability ### Intended Uses: - **Artistic QR code generation** - Image recoloring and colorization - Lighting control in text-to-image generation - Brightness-based pattern integration - Watermark and subtle pattern embedding - Photo enhancement and stylization ## Training Details ### Training Data Trained on 10,000 samples from `latentcat/grayscale_image_aesthetic_3M`: - High-quality aesthetic images - Paired with grayscale/brightness versions - Native resolution: 1024×1024 ### Training Configuration | Parameter | Value | |-----------|-------| | **Base Model** | `black-forest-labs/FLUX.1-dev` | | **Model Size** | 12B parameters | | **Architecture** | FLUX Control LoRA | | **LoRA Rank** | 128 | | **Training...