PPD fine-tunes a single diffusion model to follow per-user preferences by conditioning on VLM-extracted embeddings, reporting 76-81% win rates over Stable Cascade with four examples per user.
Scaling recti- fied flow transformers for high-resolution image synthesis
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Personalized Preference Fine-tuning of Diffusion Models
PPD fine-tunes a single diffusion model to follow per-user preferences by conditioning on VLM-extracted embeddings, reporting 76-81% win rates over Stable Cascade with four examples per user.