PIXART-α is a Transformer-based text-to-image diffusion model that achieves high-quality image synthesis with low training costs. It supports high-resolution image synthesis up to 1024px resolution and has a training speed that markedly surpasses existing large-scale text-to-image models.
PIXART-α supports high-resolution image synthesis up to 1024px resolution.
PIXART-α achieves high-quality image synthesis with low training costs.
PIXART-α's training speed markedly surpasses existing large-scale text-to-image models.
PIXART-α is based on a Transformer-based architecture that enables efficient and effective image synthesis.
PIXART-α uses a diffusion-based approach to generate high-quality images.
Image generation for art and design
Data augmentation for machine learning models
Image synthesis for film and video production
Virtual try-on for e-commerce and fashion
Access the online demo to try out PIXART-α
Implement the model in your own project using the provided code and documentation
Fine-tune the model for your specific application using the provided guidelines