AI4Song2Videos
- 已验证
- Zinner 等级 1
用 AI 制作音乐/歌曲视频 --
支持 AI 的工具、软件、应用程序或平台/网站，可以根据带歌词的歌曲制作视频。视频内容与歌曲内容匹配并与时间线同步。
I have developed AI tools mostly in Python that can automatically generate lyric videos from songs where:
• the lyrics appear synchronized with the song timeline, and
• the visual scenes match the theme or meaning of the song.
These are usually called AI lyric video generators or music-to-video generators.
使用的 AI 算法是 ANN（人工神经网络）和 RL（强化学习）。
这些 Python 框架可以在 AI 的帮助下将歌曲直接转换为视频。您只需选择一个 mp3 文件，其余的将由基于 Python AI 的模块完成。您不需要歌词，也不需要背景图片。Python 代码与 AI 算法将为您准备好一切，您将获得一个与歌曲歌词和节奏完全合拍的视频。这不是一项容易的工作，需要大量的实验和计算机资源。
还有许多其他由 AI 驱动的工具、应用程序和平台可以从现有歌曲（上传的音频轨道）生成完整的音乐视频，自动或半自动地整合歌词，创建解释歌曲内容/含义的视觉效果（例如，与诗歌、情绪和歌词匹配的故事驱动场景），并将所有内容完美同步到时间线（节拍、下降、措辞和歌词时间）。
现在我想为您做三件事：
1)
Promote my own tools by using it to make videos from songs or music provided by you. I have tried them online, but the tools need too many computer resources, therefore I have to run them locally in my computer. They need a harddisk as large as 1 TB and very large CPU and Memory as well; They work well.
2)
On the other hand, I also would like to provide consultancy as to how to choose the best tools others have developed for the same purpose but with the capacity my tools are missing. As I know much about the current status quo of AI video production business, my expertise might prove to be very useful to those who are not very well informed of the state-of-the-art of the technology.
3)
In addition to the above, let me also advise you on:
• Hardware Optimization: GPU/RAM requirements needed if you want to run moviepy or diffusers locally.
• Cost-Benefit Analysis: calculate exactly when it becomes cheaper to build a local server versus paying for expensive SaaS API credits.
