[Verse 1] Four families rule the synthetic realm tonight VAEs paint with smooth probability curves Beta parameters keep features separate and bright While VQ codes compress what vision observes Variational magic in the latent maze [Chorus] Generate, evaluate, navigate the fake GANs versus VAEs, diffusion's perfect take Flow-based models calculate likelihood's weight FID scores and CLIP assess what we create Governance guards against the deepfake mistake [Verse 2] Generative adversaries locked in endless war StyleGAN sculpts faces that never existed CycleGAN transforms horses into zebra lore High-fidelity lies beautifully twisted Two networks dancing deception's ballet [Chorus] Generate, evaluate, navigate the fake GANs versus VAEs, diffusion's perfect take Flow-based models calculate likelihood's weight FID scores and CLIP assess what we create Governance guards against the deepfake mistake [Verse 3] Diffusion models add noise then slowly heal DDPM whispers pixels back to order Stable Diffusion makes impossible dreams real DALL-E paints beyond imagination's border Forward process breaks, reverse rebuilds [Bridge] RealNVP flows with invertible precision Glow computes exact probability Inception scores judge synthetic vision Human evaluators check quality C2PA stamps provenance truth [Chorus] Generate, evaluate, navigate the fake GANs versus VAEs, diffusion's perfect take Flow-based models calculate likelihood's weight FID scores and CLIP assess what we create Governance guards against the deepfake mistake [Outro] Train your diffusion lab with careful hands Measure FID distance between real and planned Synthetic data flooding digital lands Truth and fiction require ethical stands
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