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Awesome GitHub RepositoriesShallow Diffusion Sampling
Diffusion sampling techniques that generate high-fidelity results using a limited number of iterations.
Distinct from Diffusion Sampling Methods: Distinct from general Diffusion Sampling Methods: focuses on the 'shallow' approach to minimize sampling steps while maintaining quality.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Shallow Diffusion Sampling. Refine with filters or upvote what's useful.
Awesome Shallow Diffusion Sampling GitHub Repositories
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- moonintheriver/diffsinger
MoonInTheRiver/DiffSinger
4,804在 GitHub 上查看DiffSinger is an AI vocal synthesizer and neural audio generator designed to produce high-fidelity singing and speech. It functions as a text-to-speech system and a diffusion-based singing voice synthesis tool that transforms text and pitch into audible audio. The system utilizes a shallow diffusion mechanism and iterative noise refinement to generate realistic vocal performances. It incorporates specialized sampling plugins and numerical solvers to accelerate inference and reduce the time required to generate synthetic voices. The project covers acoustic modeling, mel-spectrogram synthesis,
Generates high-fidelity audio by iteratively refining noise into mel-spectrograms using a limited number of sampling steps.
Pythonaaai2022diffusion-modeldiffusion-speedup
