🧠 Model
FLUX.1-Kontext-dev
by black-forest-labs
Explore FLUX.1-Kontext-dev.
🕐 Updated 12/19/2025
🧠 Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
📝 Limitations & Considerations
- • Benchmark scores may vary based on evaluation methodology and hardware configuration.
- • VRAM requirements are estimates; actual usage depends on quantization and batch size.
- • FNI scores are relative rankings and may change as new models are added.
- • Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev","fetched_at":"2025-12-19T07:41:01.175Z","adapter_version":"3.2.0"}]
📚 Related Resources
📄 Related Papers
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📊 Training Datasets
Training data information not available. Refer to the original model card for details.