What techniques help maintain diversity in samples generated by generative models e g GANs VAEs

Question

Can i get suggestions on how to maintain diversity in samples generated by generative models use code snippets if possible?

Answer 1

You can maintain the diversity in samples by using techniques like:

• Temperature scaling 
• Diversity-prompting loss

You can refer to the code showing these techniques:

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In the above code generates diverse outputs by using temperature scaling and penalizing similarities between consecutive samples.