Back to catalog
AudioLDM
Pioneering open-source AI model for text-to-audio sound effects and foley generation.
This profile summarizes information listed in the Zancle catalog. Pricing, features, formats, APIs, and licensing terms can change: confirm decision-critical details on the official website before purchasing or using the tool commercially.
Overview
AudioLDM is a text-to-audio generation model widely adopted by researchers and developers. Based on latent audio diffusion, it excels at generating cinematic ambiences, explosions, footsteps, bird calls, and synthetic textures from text prompts.
Listed features
Text-prompted foley and sound effect generation
3D spatial sound immersion
Trainable on custom sound sample libraries
Open-source Python notebook availability
Points to consider
100% free and customizable without limits
Incredible versatility for abstract sound textures
Low resource footprint compared to video models
Listed limitations or constraints
Audio quality can occasionally sound noisy (16kHz sample rate by default)
Requires code knowledge for DAW integration
Listed formats
License information listed in catalog
Creative Commons permissive (Usage commercial selon modèle)
Check official terms