PIXART $\Alpha$

PixArt-α is a family of transformer-based diffusion models designed for efficient and high-quality text-to-image synthesis. Research focuses on improving image resolution, generation speed, and controllability through techniques like weak-to-strong training, latent consistency models, and novel attention mechanisms within the diffusion transformer architecture. These advancements significantly reduce training costs and computational resources required for generating photorealistic images, making high-quality text-to-image generation more accessible to researchers and developers while minimizing environmental impact. The resulting models offer a compelling alternative to existing state-of-the-art methods.