# Text-to-image generation

Flex.1-alpha is a powerful text-to-image generation model based on an 8 billion parameter corrected flow transformer architecture. It inherits features from FLUX.1-schnell and generates images without the need for CFG through trained guided embedders. The model supports fine-tuning and is open-source (Apache 2.0), making it suitable for use in various inference engines like Diffusers and ComfyUI. Its main advantages include efficient generation of high-quality images, flexible fine-tuning capabilities, and strong community support. The development background aims to address the compression and optimization issues of image generation models while continuously improving model performance through ongoing training.

SDXL Turbo is a text-to-image generative model based on Adversarial Diffusion Distillation (ADD) technology. It can quickly generate high-quality images. As an enhanced version of SDXL 1.0, it can synthesize high-quality, realistic images with a single network evaluation.

PIXART-α is a Transformer-based text-to-image generation model. Its image generation quality rivals that of state-of-the-art image generators. It supports high-resolution image synthesis, features significantly faster training than existing large-scale T2I models, and boasts low training costs, saving nearly $300,000 and reducing CO2 emissions by 90%. PIXART-α excels in image quality, artistry, and semantic control, providing new insights for the AIGC community and startups to accelerate the development of high-quality, cost-effective generative models from scratch.