mARTin
60db1b181f
Run Qwen3-TTS with CUDA graph acceleration on NVIDIA DGX Spark (ARM64 / SM 121 / CUDA 13) as an OpenAI-compatible TTS API server. - Dockerfile targeting nvidia/cuda:13.0.2-base-ubuntu24.04 with ARM64 cu130 PyTorch wheels - Patch for max-seq-len support to handle long reference audio without crashes - OpenWebUI + SillyTavern compatible API endpoints (/v1/models, /v1/audio/voices, /speakers) - Voice management: auto-generate voices.json from speaker reference audio files - Auto-transcription helper script for generating reference text from audio Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
22 lines
290 B
Plaintext
22 lines
290 B
Plaintext
# Audio files (add your own voice references locally)
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config/speakers/*.wav
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config/speakers/*.mp3
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config/speakers/originals_backup/
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# Generated at runtime
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config/voices.json
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config/voices.json.bak
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# Environment
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.env
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*.pyc
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__pycache__/
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# Editor backups
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*~
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*.swp
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# OS
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.DS_Store
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Thumbs.db
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