image  This time, it only took ~11 seconds to generate the image, which is almost 3x faster than before! 💡 We strongly suggest always running your pipelines in float16, and so far, we’ve rarely seen any degradation in output quality. Another option is to reduce the number of inference steps. Choosing a more efficient scheduler could help decrease the number of steps without sacrificing output quality. You can find which schedulers are compatible with the current model in the DiffusionPipeline by calling the compatibles method:   Copied pipeline.scheduler.compatibles