crlandsc/tiny-audio-diffusion
A repository for generating and training short audio samples with unconditional waveform diffusion on accessible consumer hardware (<2GB VRAM GPU)
This tool helps music producers and sound designers create short, high-quality audio samples like drum hits. You can feed it existing audio samples to train new models, and it outputs unique, studio-grade sound effects or one-shot instruments. This is ideal for independent musicians, game sound artists, or anyone who needs custom audio assets but has limited computing power.
183 stars. No commits in the last 6 months.
Use this if you want to generate short, high-fidelity audio waveforms or train custom sound models using only an average consumer-grade GPU.
Not ideal if you need to generate long musical pieces, complex audio arrangements, or if you require very fast generation times without compromising sample length.
Stars
183
Forks
16
Language
Python
License
MIT
Category
Last pushed
Jun 06, 2024
Commits (30d)
0
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