GLIDE文本到图像AI模型 - 低分辨率扩散模型

BigGAN图像生成AI模型，基于大规模类别条件的生成对抗网络。能够生成高保真度、多样性的图像，为GAN研究树立新基准。

BigGAN image generation AI model, a generative adversarial network based on large-scale class-conditional generation. Capable of generating high-fidelity, diverse images, setting a new benchmark for GAN research.

Imagen AI图像生成模型，基于扩散模型的高保真文本到图像合成系统。能够生成高质量、高分辨率的图像，匹配文本描述的细节。

Imagen AI image generation model, a high-fidelity text-to-image synthesis system based on diffusion models. Capable of generating high-quality, high-resolution images matching the details of text descriptions.

VQGAN图像生成模型，实现高质量图像合成与风格迁移。结合了变分自编码器和生成对抗网络的优势，能够在保持细节的同时实现多样化的艺术风格转化。

VQGAN image generation model, achieving high-quality image synthesis and style transfer. Combining the advantages of variational autoencoders and generative adversarial networks, it enables diverse artistic style transformations while preserving details.