LD-Pruner: Efficient Pruning of Latent Diffusion Models using
Task-Agnostic Insights
LD-Pruner: Efficient Pruning of Latent Diffusion Models using
Task-Agnostic Insights
Latent Diffusion Models (LDMs) have emerged as powerful generative models, known for delivering remarkable results under constrained computational resources. However, deploying LDMs on resource-limited devices remains a complex issue, presenting challenges such as memory consumption and inference speed. To address this issue, we introduce LD-Pruner, a novel performance-preserving structured pruning …