FLUX Model Guide
Understanding FLUX models and choosing the right one for your creative workflow
Model Overview
FLUX models are state-of-the-art AI image generation models developed by Black Forest Labs. Each model is optimized for different use cases:
FLUX.1 Schnell
Best For:
- Rapid prototyping and iteration
- Testing prompt ideas quickly
- Real-time feedback workflow
- Batch generation tasks
Example Settings:
Steps: 4-8
Guidance: 3.5
Resolution: 1024×1024
FLUX.1 Dev
Best For:
- Final artwork generation
- High-detail requirements
- Professional projects
- Portfolio pieces
Example Settings:
Steps: 20-30
Guidance: 5.0
Resolution: 1024×1024
FLUX.1 Kontext
Best For:
- Image editing and transformation
- Style transfer tasks
- Reference-based generation
- Controlled variations
Example Settings:
Steps: 30
Guidance: 4.0
Denoise: 0.7
Resolution: Match input
Choosing the Right Model
🚀 Need Speed?
If you're iterating on prompts or need quick results:
4-8 steps • Fast generation • Good quality
🎨 Need Quality?
If you're creating final artwork or need maximum detail:
20-30 steps • Best quality • Worth the wait
🖼️ Have a Reference Image?
If you want to transform or edit existing images:
30+ steps • Image-to-image • Style transfer
Technical Specifications
| Model | Parameters | Architecture | Quantization | File Size |
|---|---|---|---|---|
| FLUX.1 Schnell | 12B | Rectified Flow Transformer | 4-bit, 8-bit | 3.5GB - 7GB |
| FLUX.1 Dev | 12B | Rectified Flow Transformer | 4-bit, 8-bit | 3.5GB - 12GB |
| FLUX.1 Kontext | 12B | Rectified Flow Transformer | 4-bit, 8-bit | 3.5GB - 12GB |
Performance Optimization
💾 Memory Management
- Use quantized models (4-bit or 8-bit) to reduce memory usage
- Close other applications during generation
- Restart ImageMates after extended sessions
- Consider smaller resolutions for testing
⚡ Speed Optimization
- Start with FLUX Schnell for prompt testing
- Use lower step counts for drafts (4-8 steps)
- Batch similar generations together
- Enable Metal Performance Shaders on Mac
🎯 Quality Tips
- Use FLUX Dev for final outputs
- Increase steps gradually (20-30 optimal)
- Adjust guidance scale (3.5-7.0 range)
- Use specific, detailed prompts
Loading Models in ImageMates
Advanced Model Features
🔧 LoRA Support
All FLUX models support LoRA (Low-Rank Adaptation) for style customization. Add artistic styles, characters, or concepts without changing the base model.
Browse LoRA Library →🎨 Image-to-Image
FLUX Kontext enables powerful image editing by using reference images. Transform photos into artwork or apply consistent styles across images.
Learn Techniques →🚄 Speed Optimization
Use Hyper-FLUX LoRAs to accelerate generation while maintaining quality. Get great results in just 8-16 steps instead of 30+.
Get Speed LoRAs →