Lucid

We're solving the fundamental challenge of real-time video generation at scale. Our stack includes...

Models: Diffusion rolling DiT with AdaLN action modulation for controllable video generation. Super compression VAEs, enabling faster inference than standard approaches.

Data: Training on petabytes of video data with custom preprocessing pipelines optimized for our compression schemes.

Infrastructure: Distributed training across GPU clusters using PyTorch, with custom data loading optimized for video workloads. We work with both cloud and bare metal infrastructure.

Performance: Our models run at 20+fps on consumer hardware while maintaining quality, achieved new architectures and aggressive optimization.

The technical challenges span computer vision, distributed systems, and performance optimization - we're pushing the boundaries of what's possible with real-time neural rendering.