Würstchen is a diffusion-based text-to-image framework that introduces multi-stage latent space compression. Stage A and B compress images while Stage C handles text conditioning in a low-dimensional space, enabling fast and computationally cheap training. The model achieves 42x compression while maintaining faithful image reconstruction and is fully integrated into the Hugging Face diffusers library.