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开源的音乐生成
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=== Riffusion === * '''主要功能''':Riffusion 是一个开源的实时音乐生成模型,独辟蹊径地通过''图像''来生成音乐 (Riffusion - Wikipedia)。它将Stable Diffusion文本生成图像模型'''微调'''在频谱图上:输入文本提示(如风格、乐器),输出相应音频的频谱图图像,然后再将该图转回音频 (Riffusion - Wikipedia)。生成结果通常是几秒钟的音乐片段,但模型可以利用潜空间的平滑过渡将多个片段无缝插接,形成连续音乐 (Riffusion - Wikipedia)。Riffusion 擅长生成循环音乐片段、氛围音等。 * '''技术栈''':基于 Stable Diffusion 文生图模型进行迁移学习,生成音频频谱图再经逆傅里叶变换得到声音 (Riffusion - Wikipedia)。由开发者 Seth Forsgren 和 Hayk Martiros 于2022年底推出,使用 Python 实现,代码和模型以MIT协议开源 (Riffusion - Wikipedia) (Riffusion - Wikipedia)。推理主要依赖GPU进行扩散模型采样。 * '''API''':官方没有公开收费API,但提供了交互式的_web应用_(riffusion.com)展示模型效果。由于项目开源,开发者可基于其库自行封装API。本地运行完全免费。 * '''部署方式''':支持本地运行,需要安装Stable Diffusion相应依赖并有合适GPU。已有社区提供的Colab笔记和演示站点,可实时输入提示生成音乐。其开源库也可集成到其他应用中实时推理 (Stable Diffusion fine-tuned to generate Music — Riffusion - Reddit)。 * '''相关链接''':官方网站:<nowiki>https://www.riffusion.com;GitHub</nowiki> 项目:<nowiki>https://github.com/riffusion/riffusion-hobby</nowiki> (riffusion/riffusion-hobby: Stable diffusion for real-time music generation)。
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