Autoregressive models can beat diffusion in image generation
cloneofsimo · x · 2026-08-21
- Technical Correction: Clarifies a common misconception: autoregressive models for images often need CFG, while diffusion for language doesn't always require it.
- Paper Evidence: Cites "Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation" (arXiv:2406.06525).
- Key Findings: LlamaGen applies the "next-token prediction" paradigm to vision, achieving 2.18 FID on ImageNet 256x256, outperforming LDM and DiT.
- Inference: LLM serving frameworks can optimize image generation inference, achieving 326% - 414% speedup.
Related event: Researchers Debate Whether Autoregressive and Diffusion Models Need CFG(2 posts)→
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