SDXL 1.0 model — A leap towards improved AI Image generation
SDXL, also known as Stable Diffusion XL, is a highly anticipated open-source generative AI model that was just recently released to the public by StabilityAI. It is an upgrade from previous versions of SD like 1.5, 2.0, and 2.1, and offers significant improvements in image quality, aesthetics, and versatility.
This post will go through:
- An explanation of the SDXL model’s functionality.
- A comparison of images produced by different SDXL model versions(Base and Refiner).
- A tutorial on running SDXL on Google Colab using Huggingface Libraries.
If you want to try SDXL quickly, using it with the AUTOMATIC1111 Web-UI is the easiest way. However, it is a bit of a hassle to use the refiner in AUTOMATIC1111. We will be deep diving into using SDXL with Huggingface diffusers library.
What is the SDXL model?
The SDXL model is a significant advancement in image generation capabilities, offering enhanced image composition and face generation that results in stunning visuals and realistic aesthetics. The total number of parameters of the SDXL model is 6.6 billion, compared with 0.98 billion for the v1.5 model.
