DMD다단계 말고 q(x0∣xT)q(x_0|x_T)q(x0∣xT) 으로 냅다 가버리는데 distillation으로 보완해서 부모 모델 upperbound One-step Diffusion with Distribution Matching Distillationhttps://tianweiy.github.io/dmd/AI generates high-quality images 30 times faster in a single step | MIT CSAILIn our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models, iteratively adding structure to a noisy initial state until a clear image or video emerges. Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, dopamine-spiking dreamscapes at the intersection of reality and fantasy. Behind the scenes, it involves a complex, time-intensive process requiring numerous iterations for the algorithm to perfect the image.https://www.csail.mit.edu/news/ai-generates-high-quality-images-30-times-faster-single-step