0.4.2

jgraph/drawio0.4.2May 19, 2025by edwko

AI Summary

This release introduces audio fade-in/out decoding to prevent clipping, adds support for batched decoding via multiple backends (EXL2, VLLM, llama.cpp), and includes compatibility for the OuteTTS 1.0 0.6B model.

Key Highlights

Fade-in / Fade-out Audio Decoding to eliminate clipping artifacts
Batched Decoding Interfaces (EXL2 Async, VLLM, llama.cpp Async Server)
Single-Stream Decoding for llama.cpp Server Endpoint
OuteTTS 1.0 0.6B Model Support
Enhanced pre-prompt normalization pipeline

New Features

Fade-in / Fade-out audio decoding
Batched decoding interfaces
Single-stream decoding
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.