Dasheng-AudioGen-GGUF is an open-source text-to-audio generation model packaged in GGUF format for use with GGML-based runtimes. It supports local inference on CPU, ROCm, and Vulkan, making it accessible for developers and researchers working on audio synthesis and generative AI projects.
Dasheng AudioGen sits in PulseGate's Voice, TTS & speech category. It focuses on enabling local text-to-audio generation using open-source models on various hardware platforms. It is built as an open-source project for AI audio researchers and developers. Dasheng AudioGen is open source under the Open Source license. It runs on the web and the command line, and it can be self-hosted.
It is developed by ilintar, and the product first shipped in 2026. Development happens publicly on GitHub with 26 stars and 19 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Dasheng AudioGen occupies a relatively distinct niche. Key capabilities include text-to-audio generation, GGUF format, and CPU/ROCm/Vulkan support.
Latest indexed changes and source events
ilintar/Dasheng-AudioGen-GGUF discovered by the PulseGate indexer
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