Community project by @kadirb4rut integrating VoxCPM2 as the TTS/voice-cloning
backend of a local-first video dubbing pipeline (issue #384).
Co-authored-by: Labmem-Zhouyx <913703649@qq.com>
Add audio.cpp (ggml-based unified C++ inference framework) to the
Ecosystem & Community table in both README.md and README_zh.md.
VoxCPM2 is a released, supported model in that project.
Requested in #354.
Co-authored-by: Labmem-Zhouyx <913703649@qq.com>
- Exposed 'seed' parameter in VoxCPMModel and VoxCPM2Model generation methods.
- Added PyTorch RNG seed setting before inference runs.
- Handled 'retry_badcase' seed adjustment by incrementing the seed value on retries.
- Exposed 'self.last_successful_seed' as a model attribute for UI integrations.
- Propagated 'seed' parameter to high-level pipeline class and CLI tools (cli.py).
- Added '--seed' flag to full-finetune and LoRA inference scripts.
- Configured validation audio generation in training script to use a fixed seed for objective comparison on TensorBoard.
- Added comprehensive unit tests in CLI test files to validate seed parsing and propagation.
- Updated English and Chinese READMEs with seed usage examples.
Document vLLM-Omni as a production serving option for VoxCPM2
alongside the existing Nano-vLLM reference. Mirrors the addition in
README_zh.md, and adds an ecosystem table entry.
Install snippet follows the upstream vLLM-Omni installation guide
(from source, since vllm-omni is rapidly evolving).
Signed-off-by: Yueqian Lin <linyueqian@outlook.com>
