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Deep Learning Course - Level: Advanced
When used with diffusion models, classifier-free guidance is a technique used for improving the quality of generated images and how well those images match the text prompt without the need for a separate classification model, deeming it to be called classifier-free guidance.
The alternative to classifier-free guidance is to use a separate model to classify the generated images into different categories and is called classifier guidance. This is similar to the discriminator network's role in a GAN.
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