🤖AI Model Details
Model Architecture
Based on Stable Diffusion architecture, specifically optimized for high-quality image generation
Training Dataset
Trained on a diverse dataset of high-quality images with detailed text descriptions
Our model uses the FLUX.1-dev architecture from Black Forest Labs, known for its exceptional image generation capabilities and fast inference times.
⚡Technical Capabilities
Resolution Support
- • Minimum: 128x128 pixels
- • Maximum: 1024x1024 pixels
- • Optimal: 512x512 pixels
Generation Speed
- • Average: 10-30 seconds
- • Varies with complexity
- • Parallel processing enabled
✨Key Features
Style Control
Generate images in various artistic styles and mediums
Composition Control
Fine-tune image composition and layout
Quality Settings
Adjustable parameters for optimal results
🎛️Advanced Parameters
Guidance Scale
Range: 1-20
Recommended: 7.5
Controls how closely the image follows your prompt. Higher values produce more prompt-adherent results but may be less creative.
Inference Steps
Range: 10-150
Recommended: 50
Determines the number of denoising steps. More steps generally result in higher quality but take longer to generate.
Scheduler Types
Available options:
• DDIM: Balanced quality and speed
• DPM++: Higher quality, slower generation
• EulerA: Fast generation, good for iterations
🔧Technology Stack
Built with modern technologies for optimal performance:
Frontend
- • Next.js 13+ with App Router
- • React 18 with Hooks
- • TailwindCSS for styling
- • TypeScript for type safety
Backend
- • Hugging Face Inference API
- • FLUX.1-dev Model
- • Optimized for performance
- • Automatic retries and error handling