A Gradio-based web application for generating hyper-realistic images using FLUX.1-dev with Super Realism LoRA enhancement. This application provides an intuitive interface for creating high-quality, photorealistic images with customizable parameters and styles.
- Hyper-realistic image generation using FLUX.1-dev with Super Realism LoRA
- Multiple quality presets (8K, 4K, 2K, and Style Zero)
- Customizable parameters including dimensions, guidance scale, and inference steps
- Batch generation support for up to 5 images simultaneously
- ZIP download option for generated image batches
- Seed control with randomization option for reproducible results
- Negative prompting support for better content control
- Real-time generation tracking with timing information
- CUDA-compatible GPU (recommended: 8GB+ VRAM)
- Python 3.8+
- CUDA toolkit installed
torch
gradio
diffusers
Pillow
numpy
spaces
- Clone or download the application files
- Install required dependencies:
pip install torch gradio diffusers Pillow numpy spaces- Ensure CUDA is properly configured for GPU acceleration
Execute the main script to start the Gradio interface:
python app.pyThe application will launch a web interface accessible at http://localhost:7860
- Prompt Input: Enter your image description
- Run Button: Generate images based on current settings
- 3840 x 2160: 8K hyper-realistic output
- 2560 x 1440: 4K hyper-realistic output
- HD+: 2K hyper-realistic output
- Style Zero: Basic prompt without enhancement
- Negative Prompt: Specify elements to exclude from generation
- Seed Control: Set specific seed or use randomization
- Dimensions: Adjust width and height (512-2048px)
- Guidance Scale: Control adherence to prompt (0.1-20.0)
- Inference Steps: Quality vs speed trade-off (1-40 steps)
- Batch Size: Generate 1-5 images simultaneously
- ZIP Export: Download all generated images as archive
The application includes several example prompts demonstrating effective usage:
- Professional portrait photography
- Environmental character shots
- Studio lighting setups
- Artistic portrait compositions
- Base Model: black-forest-labs/FLUX.1-dev
- LoRA Enhancement: strangerzonehf/Flux-Super-Realism-LoRA
- Trigger Word: "Super Realism" (automatically prepended)
- Precision: bfloat16 for optimal performance
The application includes predefined style templates that automatically enhance prompts with quality descriptors:
- Ultra-detailed rendering
- Lifelike textures
- High-resolution output
- Sharp focus and vibrant colors
- Photorealistic results
- Resolution: 1024x1024px
- Guidance Scale: 3.0
- Inference Steps: 30
- Randomized seed enabled
- Single image generation
- GPU acceleration required for practical usage
- Generation time varies based on resolution and step count
- Higher inference steps improve quality but increase processing time
- Batch generation processes images sequentially
Generated images are automatically saved with unique UUID filenames in PNG format. The ZIP export feature creates compressed archives containing all generated images with sequential naming.
- CUDA out of memory: Reduce image dimensions or batch size
- Slow generation: Decrease inference steps or resolution
- Model loading errors: Ensure stable internet connection for initial model download
- Use lower guidance scales (2.0-4.0) for faster generation
- Reduce inference steps for quicker results
- Monitor VRAM usage with multiple image generation
This application uses models and components with their respective licenses:
- FLUX.1-dev model licensing applies
- LoRA weights subject to their repository terms
- Application code available for modification and redistribution
For technical issues or feature requests, refer to the respective model repositories:
- FLUX.1-dev: black-forest-labs/FLUX.1-dev
- Super Realism LoRA: strangerzonehf/Flux-Super-Realism-LoRA