0.4.2
GargantuaX/gemini-watermark-remover0.4.2May 19, 2025by edwko
AI Summary
Enhanced OuteTTS with fade-in/fade-out audio decoding, batched decoding interfaces for high-throughput processing, and support for the new OuteTTS 1.0 0.6B model.
Key Highlights
- Fade-in/fade-out audio decoding to eliminate clipping artifacts
- Batched decoding interfaces: EXL2 Async, VLLM, and llama.cpp Async
- Single-stream decoding endpoint for llama.cpp server
- OuteTTS 1.0 0.6B model support
- New batched interface configuration parameters
New Features
- Audio fade effects
- Batched inference support
- Async processing backends
- New model compatibility
- Enhanced pre-prompt normalization
Full Release Notes
# OuteTTS v0.4.2 * **Fade-in / Fade-out Audio Decoding** Introduced quick fade-in and fade-out on decoded audio chunks to eliminate clipping artifacts at segment boundaries. * **Batched Decoding Interfaces** Added support for high-throughput, batched inference via three new backends: * **EXL2 Async**: Asynchronous batch processing using the EXL2. * **VLLM**: Asynchronous batch decoding with VLLM. (Experiment support) * **llama.cpp Async Server Endpoint**: Connects to a continuously-batched llama.cpp server for async inference. * **Single-Stream Decoding** * **llama.cpp Server Endpoint**: single-stream decode endpoint for llama.cpp server. * **OuteTTS 1.0 0.6B Model Support** Compatibility with the new [OuteTTS-1.0-0.6B](https://huggingface.co/OuteAI/OuteTTS-1.0-0.6B), including config defaults. * **Batched Interface Parameters** New configuration options to control batched interface. * Enhanced pre-prompt normalization pipeline. * Documentation Updates, expanded the batched interface usage.