Pixart-α Online

PixArt Alpha stands out as a cutting-edge Transformer-based T2I diffusion model. Its primary function is to seamlessly generate photorealistic images from textual input, pushing the boundaries of text-to-image technology.One of PixArt Alpha's key strengths lies in its image generation quality, which competes with the best in the industry. When compared to state-of-the-art image generators like Imagen, SDXL, and Midjourney, PixArt Alpha consistently delivers results that meet or exceed the standards set by these benchmarks.
Generate AI Art with Pixart-alpha
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Frequently asked questions

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    • What is PixArt-α?

      PixArt-α is a Transformer-based T2I diffusion model designed for fast training, enabling photorealistic text-to-image synthesis.

    • What sets PixArt-α apart from other models?

      PixArt-α's key features include competitive image generation quality comparable to Imagen, SDXL, and Midjourney. Additionally, it boasts significantly faster training speeds than existing large-scale T2I models.

    • Are there any breaking news or recent updates?

      Yes! As of Dec. 13, 2023, PixArt-LCM-Lora training scripts in Hugging Face style will be released soon. Also, PixArt collaborates with LCMs team for the fastest Training & Inference Text-to-Image Generation System.

    • How does PixArt-α contribute to training efficiency?

      PixArt-α excels in training efficiency, taking only 12% of Stable Diffusion v1.5's training time. This results in significant cost savings, reduced CO2 emissions, and lower training costs compared to larger SOTA models.

    • Can PixArt-α generate high-quality images?

      PixArt-α's image generation quality competes with state-of-the-art generators, achieving high standards such as those set by Imagen, SDXL, and Midjourney.

    • Can PixArt-α be used for custom datasets?

      Yes, PixArt-α is designed to be versatile and allows users to prepare their own datasets. The model provides flexibility in configuration, enabling users to adapt it to their specific needs.