SDXL 1.0, the latest iteration of Stability AI's Stable Diffusion model, represents a significant advancement in text-to-image synthesis, boasting improvements such as a larger UNet-backbone, enhanced text encoders, and a separate diffusion-based refinement model that enhances visual fidelity. With a base model of 3.5 billion parameters and a 6.6 billion parameter refiner model, SDXL stands as one of the largest open image generators available, rivaling popular models like Midjourney. The model's open-source and open-access nature encourages transparency, collaboration, and reproducibility within the AI community, addressing issues related to model explainability and bias. The tutorial explores the model's capabilities in inpainting and outpainting using dilated and undilated segmentation masks, demonstrating how the refiner model contributes to image quality. Despite its complexity, SDXL can operate on consumer GPUs, broadening accessibility for users with limited resources. The article emphasizes the role of Comet in organizing data and tracking metrics while offering insights into hyperparameter tuning to optimize image outputs.