The blog post discusses the use of SDXL Turbo, a newly released text-to-image model by DeepInfra, for creating cubist-style artwork. It emphasizes the importance of crafting effective prompts and fine-tuning parameters to generate high-quality images that capture the essence of cubism, inspired by pioneers like Pablo Picasso. The SDXL Turbo model, which utilizes Adversarial Diffusion Distillation, produces images in fewer steps than its predecessor, allowing for quicker and more efficient art creation. The guide explores adjusting parameters such as Guidance Scale and Num Inference Steps to refine images and encourages experimentation with different prompts and styles, including blending cubism with other artistic movements. Overall, the post highlights SDXL Turbo as a powerful tool for pushing the boundaries of AI-generated art and inspiring digital creativity.