A text-to-image generation model that replaces Transformer blocks with Mamba State Space Models and Kolmogorov-Arnold Networks. This architecture provides linear complexity scaling, reducing memory overhead for high-resolution synthesis.
Tech Stack
PythonAI, ML & Data
Why Kamba-Diffusion?
• Linear scaling
• Reduced VRAM requirements
• State-of-the-art architecture
Limitations
• High compute for training
• Limited pre-trained weights
• Complex implementation
4/3/2026
Last Update
0
Forks
0
Issues
MIT
License
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