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Deep Learning Course - Level: Advanced
Now that we have a general idea of how a latent diffusion model is trained to generate images and how its inputs are processed, let's take a look at the architecture of the model itself.
The main component of a latent diffusion model is a neural network called U-Net, which has properties that make it generally similar to an autoencoder.
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