AudioLDM

Original latent diffusion model for text-to-audio generation.

Open SourceSelf HostedOffline CapableGPU Required (8GB+ VRAM)
0.0 (0)

About

AudioLDM is a text-to-audio latent diffusion model from the University of Surrey's CVSSP group that generates sound effects, environmental audio, and short music from text descriptions. It works in a latent space learned from audio and is the foundation that AudioLDM 2 later built on. Pretrained checkpoints, a Hugging Face demo, and Colab notebooks are provided, and generation quality varies with the random seed.

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Details

Price
Free
Platform
Local/Desktop
Difficulty
Intermediate (3/5)
Minimum VRAM
8 GB
Added
Apr 3, 2026

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