Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs

Generative models have emerged as transformative tools across various domains, including computer vision and natural language processing, by learning data distributions and generating samples from them. Among these models, Diffusion Models (DMs) have garnered attention for their ability to produce high-quality images. Latent Diffusion Models (LDMs) stand out for their rapid generation capabilities and reduced […]

The post Nota AI Researchers Introduce LD-Pruner: A Novel Performance-Preserving Structured Pruning Method for Compressing Latent Diffusion Models LDMs appeared first on MarkTechPost.

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