qwen example and futher documantation

2026-07-26 14:39:45 +02:00
parent 74fc6dc31c
commit 1428e150ce
7 changed files with 77 additions and 446 deletions
@@ -5,6 +5,10 @@ RAM: 16GB DDR5 4800 MTS (may be used for loading the model)\
 SWAP:  8 GB (not used)\
 Modell: https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice
 flash-attn wasn't used
 Installation modification:
 Uninstalled all cuda related deependencies and installed for all pytorch related packages the rocm version
 Example - Cpu \
 Generation time: 657.36s\
@@ -13,7 +17,7 @@ Real-time factor: 7.42x\
 text: cpu\
 Speaker: Ryan\
 Language: English\
-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.\
+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.
 Example - Raid\
 Generation time: 2315.90s\
@@ -33,6 +37,14 @@ Speaker: Aiden\
 Language: English\
 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.
 Example - [Qwen](https://dev.to/czmilo/qwen3-tts-the-complete-2026-guide-to-open-source-voice-cloning-and-ai-speech-generation-1in6)
 Generation time: 386.22s
 Audio duration: 52.88s
 Real-time factor: 7.30x
 Speaker: Aiden\
 Language: qwen\
 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.
 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)\
 (offically not supported)\
 Generation time: 903.47s\
@@ -42,4 +54,6 @@ Speaker: Aiden\
 Language: German\
 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.
-VRAM Usage is most of the time below 4GB.
+VRAM Usage is most of the time below 4GB.
 Notice the modell loading needs some time so I assume that the warmup time explain the fluctuating results between the real time factors
@@ -9,6 +9,7 @@ model = Qwen3TTSModel.from_pretrained(
    device_map="cuda:0",
    dtype=torch.bfloat16,
 )
 print(model.get_supported_languages())
 with open("input.txt", "r") as f:
    text = f.read()
@@ -3,7 +3,7 @@ name = "tts"
 version = "0.1.0"
 description = "Add your description here"
 readme = "README.md"
-requires-python = ">=3.13"
+requires-python = ">=3.13,<3.14"
 dependencies = [
    "accelerate==1.12.0",
    "fastapi==0.140.0",
@@ -25,21 +25,7 @@ dependencies = [
    "scipy==1.18.0",
    "soundfile==0.14.0",
    "soxr==1.1.0",
    "torch==2.13.0+rocm7.2",
    "torchaudio==2.11.0+rocm7.2",
    "torchvision==0.28.0+rocm7.2",
    "tqdm==4.69.1",
    "transformers==4.57.3",
    "triton-rocm==3.7.1",
    "uvicorn==0.51.0",
-]
+]
 [[tool.uv.index]]
 name = "pytorch-rocm"
 url = "https://download.pytorch.org/whl/rocm7.2"
 explicit = true
 [tool.uv.sources]
 torch = { index = "pytorch-rocm" }
 torchaudio = { index = "pytorch-rocm" }
 torchvision = { index = "pytorch-rocm" }
@@ -0,0 +1,5 @@
 Qwen3-TTS is a powerful open-source text-to-speech model supporting voice cloning, voice design, and multilingual generation across 10 languages
 3-second voice cloning: Clone any voice with just 3 seconds of audio input using Qwen3-TTS base models
 State-of-the-art performance: Outperforms competitors like MiniMax, ElevenLabs, and SeedTTS in voice quality and speaker similarity
 Dual-track streaming architecture: Achieve ultra-low latency of 97ms for real-time applications with Qwen3-TTS
 Apache 2.0 license: Fully open-source models ranging from 0.6B to 1.7B parameters, available on HuggingFace and GitHub
@@ -1,5 +1,3 @@
 Here's a more detailed summary of the Wikipedia article on **RAID (Redundant Array of Independent Disks)**.
 ### What is RAID?
 RAID is a storage virtualization technology that combines multiple physical hard drives or SSDs into one logical storage unit. It was originally designed to improve:
@@ -1,13 +1,10 @@
 version = 1
 revision = 3
-requires-python = ">=3.13"
+requires-python = "==3.13.*"
 resolution-markers = [
-    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "sys_platform == 'win32'",
-    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "sys_platform == 'emscripten'",
-    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "sys_platform != 'emscripten' and sys_platform != 'win32'",
    "python_full_version < '3.14' and sys_platform == 'win32'",
    "python_full_version < '3.14' and sys_platform == 'emscripten'",
    "python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
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 ]
 [package.metadata]
-requires-dist = [{ name = "qwen-tts", specifier = ">=0.1.1" }]
+requires-dist = [
    { name = "accelerate", specifier = "==1.12.0" },
    { name = "fastapi", specifier = "==0.140.0" },
    { name = "gradio", specifier = "==6.17.3" },
    { name = "huggingface-hub", specifier = "==0.36.2" },
    { name = "librosa", specifier = "==0.11.0" },
    { name = "numpy", specifier = "==2.4.6" },
    { name = "onnxruntime", specifier = "==1.28.0" },
    { name = "pandas", specifier = "==3.0.5" },
    { name = "pillow", specifier = "==12.3.0" },
    { name = "protobuf", specifier = "==7.35.1" },
    { name = "pydantic", specifier = "==2.13.4" },
    { name = "pydub", specifier = "==0.25.1" },
    { name = "pyyaml", specifier = "==6.0.3" },
    { name = "qwen-tts", specifier = "==0.1.1" },
    { name = "requests", specifier = "==2.34.2" },
    { name = "safetensors", specifier = "==0.8.0" },
    { name = "scikit-learn", specifier = "==1.9.0" },
    { name = "scipy", specifier = "==1.18.0" },
    { name = "soundfile", specifier = "==0.14.0" },
    { name = "soxr", specifier = "==1.1.0" },
    { name = "tqdm", specifier = "==4.69.1" },
    { name = "transformers", specifier = "==4.57.3" },
    { name = "uvicorn", specifier = "==0.51.0" },
 ]
 [[package]]
 name = "typer"