qwen example and futher documantation
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@@ -5,6 +5,10 @@ RAM: 16GB DDR5 4800 MTS (may be used for loading the model)\
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SWAP: 8 GB (not used)\
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Modell: https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
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flash-attn wasn't used
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Installation modification:
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Uninstalled all cuda related deependencies and installed for all pytorch related packages the rocm version
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Example - Cpu \
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Generation time: 657.36s\
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@@ -13,7 +17,7 @@ Real-time factor: 7.42x\
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text: cpu\
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Speaker: Ryan\
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Language: English\
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Instruct: read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.\
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Instruct: read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.
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Example - Raid\
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Generation time: 2315.90s\
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@@ -33,6 +37,14 @@ Speaker: Aiden\
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Language: English\
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Instruct: read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.
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Example - [Qwen](https://dev.to/czmilo/qwen3-tts-the-complete-2026-guide-to-open-source-voice-cloning-and-ai-speech-generation-1in6)
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Generation time: 386.22s
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Audio duration: 52.88s
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Real-time factor: 7.30x
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Speaker: Aiden\
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Language: qwen\
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Instruct: read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.
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Example - [Offener Brief: Microsoft, Nvidia & Co. fordern offenes KI-Ökosystem](https://www.heise.de/news/Offener-Brief-Microsoft-Nvidia-Co-fordern-offenes-KI-Oekosystem-11378076.html)\
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(offically not supported)\
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Generation time: 903.47s\
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@@ -42,4 +54,6 @@ Speaker: Aiden\
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Language: German\
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Instruct: read the text in a calm and soothing voice, with a slight emphasis on key points, and maintain a steady pace throughout the narration.
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VRAM Usage is most of the time below 4GB.
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VRAM Usage is most of the time below 4GB.
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Notice the modell loading needs some time so I assume that the warmup time explain the fluctuating results between the real time factors
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