Stable Diffusion XL (SDXL) is a latent diffusion model improving on previous Stable Diffusion variants by performing high-resolution image synthesis, featuring a UNet backbone. With novel conditioning schemes that account for original image size and cropping coordinates, SDXL prevents common artifacts like blurriness or cut-off subjects.
SDXL also utilizes multi-aspect ratio training and a dual text encoder system to better interpret complex prompts across various frame formats. A specialized refinement model can polish the final output, enhancing fine details through a secondary image-to-image process.
SDXL also utilizes multi-aspect ratio training and a dual text encoder system to better interpret complex prompts across various frame formats. A specialized refinement model can polish the final output, enhancing fine details through a secondary image-to-image process.
- Категория
- AI Картинки
Выполните вход или зарегистрируйтесь для отправки комментария.
Комментариев нет.
