深入探討文字生成影片 (Text-to-Video) 模型：原理、開源現況與 Diffusers 實作
Original: A Dive into Text-to-Video Models
This Hugging Face blog post takes an in-depth look at the development of text-to-video (T2V) technology and the principles behind it. In…
本文由 Hugging Face 撰寫，深入剖析文字生成影片（Text-to-Video）模型的底層原理，包含如何將 2D 擴散模型擴展至 3D 時間維度。文章介紹了當時主流的開源模型（如 ModelScope），並提供使用 diffusers 函式庫進行實作的程式碼範例，是理解早期開源 AI 影片生成技術的經典指南。
This Hugging Face blog post takes an in-depth look at the development of text-to-video (T2V) technology and the principles behind it. In mid-2023, as generative AI moved from images to video, the question of how to get AI to generate temporally coherent video became a hot topic.
Free shows the 3-line summary; Pro unlocks the full deep summary (~300 words) so you never have to click through.
See Pro plans →Want the original English / full article?
Read on Hugging Face Blog →Summaries are AI-generated; the original article is authoritative.