Noiz AI, HKUST & Tsinghua Open-Source Audio Generation Model: 4 Steps, 0.24s on One GPU
量子位 QbitAI43 days agoPaperNoiz AI has partnered with Hong Kong University of Science and Technology (HKUST) and Tsinghua University to open-source a large audio generation model. The model's standout claims are efficiency: just four sampling steps to produce audio, with inference completing in 0.24 seconds on a single GPU. The open-source release brings research-grade, low-latency audio synthesis within reach of developers and researchers globally.
AudioLDM 2 速度優化指南：如何讓文字轉音訊與音樂生成快上加快 ⚡️★ 75
Hugging Face Blog1,063 days agoTutorialAudioLDM 2 is an advanced open-source text-to-audio and text-to-music generation model. However, under its default settings, the model's inference speed is…
使用 Inference Endpoints 快速部署 MusicGen 音樂生成 API
Hugging Face Blog1,089 days agoTutorialThis article provides a detailed walkthrough of how to quickly deploy Meta's open-source MusicGen music generation model using Hugging Face Inference…