使用 TRL 透過 DDPO 微調 Stable Diffusion 模型
Original: Finetune Stable Diffusion Models with DDPO via TRL
Hugging Face published a blog post introducing how to use the DDPO (Denoising Diffusion Policy Optimization) algorithm within the TRL…
Hugging Face 宣布在其 TRL（Transformer Reinforcement Learning）庫中支援 DDPO（去噪擴散策略優化）演算法。這項更新允許開發者與研究人員使用強化學習（RL）來微調 Stable Diffusion 等擴散模型。透過自訂的獎勵函數（如美學評分或提示詞對齊度），DDPO 能有效引導模型生成更符合特定目標的圖像，解決了傳統監督式微調難以優化複雜指標的痛點。
Hugging Face published a blog post introducing how to use the DDPO (Denoising Diffusion Policy Optimization) algorithm within the TRL (Transformer Reinforcement Learning) library to fine-tune Stable Diffusion models.
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