SVDQuant: a new 4-bit post-training quantization paradigm for diffusion models
The rapid scaling of diffusion models has created challenges in memory usage and latency, making them difficult to implement, particularly ...
The rapid scaling of diffusion models has created challenges in memory usage and latency, making them difficult to implement, particularly ...
Deep neural networks (DNNs) have achieved notable success in several fields, including computer vision, natural language processing, and speech recognition. ...