A research-based project implementing a latent diffusion model to generate audio from text prompts. It explores audio synthesis using deep generative models, enabling text-conditioned audio generation for experimental and creative applications.
Key Features
Text-to-Audio generation using latent diffusion models
Supports training and inference pipelines
Based on Stable Diffusion-style architecture
Capable of synthesizing diverse audio formats
Modular codebase with flexibility for research extensions
Integrated with Hugging Face's diffusers and transformers libraries
Includes pretrained checkpoints and evaluation tools
Android DevHub
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