Diffusion models are the main driver of progress in image and video
synthesis, but suffer from slow inference speed. Distillation methods, like
the recently introduced adversarial diffusion distillation (ADD) aim to
shift the model from many-shot to single-step inference, albeit at the cost
of expensive and difficult optimization due to its reliance on a fixed
pretrained DINOv2 discriminator.

We present Stable Virtual Camera, a generalist diffusion model that creates
novel views of a scene, given any number of input views and target cameras.

Experience Fiddler’s fastest guardrails, now native to NVIDIA NeMo, delivering

We welcome the court’s March 4, 2025, decision rejecting Elon Musk’s latest attempt to slow down OpenAI for his personal benefit.