Smaller Can Be Better: Exploring the Sampling Efficiency of Latent Diffusion Models

Image generation is rapidly advancing, and latent diffusion models (LDMs) are leading the charge. These powerful models can produce incredibly realistic and detailed images but often struggle with efficiency. Every high-quality image they produce requires multiple steps – a process that can be slow and limit their usefulness in real-time applications. To address this, researchers […]

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