[Verse 1] Four families stand in the generative line Each one creates with a different design VAEs map to latent space so clean Smoothest transitions you've ever seen GANs play a game of cat and mouse Generator builds while discriminator doubts [Chorus] Generate, evaluate, innovate with care VAEs and GANs and diffusion everywhere Flow-based models compute likelihood exact FID and CLIP scores keep quality on track But watch for deepfakes in this brave new world Content authenticity must be unfurled [Verse 2] Beta-VAE learns to disentangle VQ-VAE makes discrete data wrangle StyleGAN paints portraits crystal clear CycleGAN transforms without a tear DDPM adds noise then learns to clean Stable Diffusion makes art from dreams [Chorus] Generate, evaluate, innovate with care VAEs and GANs and diffusion everywhere Flow-based models compute likelihood exact FID and CLIP scores keep quality on track But watch for deepfakes in this brave new world Content authenticity must be unfurled [Bridge] RealNVP flows with invertible might Glow illuminates the data just right Inception Score measures class diversity Human judges rate with eyes that can see C2PA standard marks what's authentic true Provenance tracking shows what algorithms do [Verse 3] Train your diffusion step by step Forward noise and backward prep Evaluate with FID so low Quality metrics help you know When synthetic data serves you well And when the warning signs should yell [Chorus] Generate, evaluate, innovate with care VAEs and GANs and diffusion everywhere Flow-based models compute likelihood exact FID and CLIP scores keep quality on track But watch for deepfakes in this brave new world Content authenticity must be unfurled [Outro] From latent space to pixel bright Generation brings new creative light But governance keeps us on the path Where innovation meets ethical math
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