Implements DDIM, a sampling method for implicit models trained similarly to DDPM but with significantly reduced sampling time and compute. The technique provides deterministic and faster reverse diffusion processes compared to standard DDPM, enabling efficient image generation. It integrates with the Hugging Face Diffusers library and can be combined with larger models like Stable Diffusion.