Diffusers 庫中開源影片生成模型的最新現狀與技術解析
Original: State of open video generation models in Diffusers
This official Hugging Face blog post takes an in-depth look at the current state of open-source video generation models within the…
本文回顧了 Hugging Face Diffusers 函式庫中開源影片生成模型的最新進展。隨著技術從 UNet 轉向 Diffusion Transformers (DiTs)，如 CogVideoX、Mochi 1、LTX-Video 及 HunyuanVideo 等模型已全面整合。文章重點介紹了如何透過 CPU 卸載、FP8 量化與 Tiled VAE 等技術，在消費級 GPU 上高效運行這些動輒數十億參數的影片生成模型。
This official Hugging Face blog post takes an in-depth look at the current state of open-source video generation models within the Diffusers ecosystem. As video generation technology has exploded in capability, the open-source community has undergone a major architectural shift — moving from traditional UNet-based architectures (such as Stable Video Diffusion) toward Diffusion Transformers (DiTs).
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