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update qwen3 tts docker

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yourwilliam
2026-01-29 14:14:24 +08:00
commit dc6bd6b17f
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.env Normal file
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QWEN_TTS_VERSION=1.2.1

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.gitignore vendored Normal file
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*.tar
/qwen3-tts-base/
/qwen3-tts-customer/
/qwen3-tts-design/

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qwen3-tts 项目
本项目用于构建和运行 qwen3-tts 相关服务，包含多个不同用途的镜像：
- qwen3-tts-base：基础 TTS 服务
- qwen3-tts-customer：面向客户场景的 TTS 服务
- qwen3-tts-design：面向配音设计场景的 TTS 服务
仓库中包含若干 docker-compose 配置文件，可按需选择启动：
- docker-compose.yml：默认组合
- docker-compose-base.yml：仅基础服务
- docker-compose-customer.yml：客户版服务
- docker-compose-design.yml：配音设计版服务
基本使用
1. 确保已安装 Docker 与 Docker Compose
2. 在仓库根目录执行：
docker compose -f docker-compose.yml up -d
3. 根据需要选择其他 docker-compose 文件替换上面的配置文件名称
注意
- 模型目录 qwen3-tts-base、qwen3-tts-customer、qwen3-tts-design 以及生成的 tar 镜像文件已通过 .gitignore 排除，不会被提交到仓库

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docker-build/.env Normal file
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QWEN_TTS_VERSION=1.2.1

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docker-build/Dockerfile Normal file
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FROM pytorch/pytorch:2.4.0-cuda12.4-cudnn9-runtime
WORKDIR /app
RUN apt-get update && apt-get install -y --no-install-recommends \
git ffmpeg sox libsox-fmt-all \
&& rm -rf /var/lib/apt/lists/*
RUN pip install -U pip \
&& pip install -U qwen-tts soundfile -i https://mirrors.aliyun.com/pypi/simple/

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docker-build/docker-compose-base.yml Normal file
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services:
qwen3-tts-clone:
image: qwen3-tts-clone:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-clone
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
# 这里换成你本地 Base 模型目录（用于 voice clone）
- ../qwen3-tts-base:/models/qwen3-base:ro
ports:
- "8002:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-base
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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docker-build/docker-compose-customer.yml Normal file
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services:
qwen3-tts:
image: qwen3-tts-custom:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-custom
restart: unless-stopped
gpus: all
environment:
# HF cache 仍然保留（Tokenizer 可能还会用到）
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
# HF 缓存（可选，但推荐）
- ./cache:/cache
# ✅ 你的本地模型目录，挂载进容器
- ../qwen3-tts-customer:/models/qwen3-tts:ro
ports:
- "8000:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-tts
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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docker-build/docker-compose-design.yml Normal file
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services:
qwen3-tts-voicedesign:
image: qwen3-tts-voicedesign:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-voicedesign
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 VoiceDesign 模型目录（你需要提前下载好）
- ../qwen3-tts-design:/models/qwen3-voicedesign:ro
ports:
- "8001:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-voicedesign
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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services:
qwen3-tts-custom:
image: qwen3-tts-custom:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-custom
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
- ./qwen3-tts-customer:/models/qwen3-custom:ro
ports:
- "8000:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-custom
--ip 0.0.0.0
--port 8000
--no-flash-attn
"
qwen3-tts-voicedesign:
image: qwen3-tts-voicedesign:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-voicedesign
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 VoiceDesign 模型目录（你需要提前下载好）
- ./qwen3-tts-design:/models/qwen3-voicedesign:ro
ports:
- "8001:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-voicedesign
--ip 0.0.0.0
--port 8000
--no-flash-attn
"
qwen3-tts-clone:
image: qwen3-tts-base:${QWEN_TTS_VERSION:-1.2.1}
build: .
container_name: qwen3-tts-base
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 Base 模型目录（用于 voice clone）
- ./qwen3-tts-base:/models/qwen3-base:ro
ports:
- "8002:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-base
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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services:
qwen3-tts-clone:
image: qwen3-tts-clone:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts-clone
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 Base 模型目录（用于 voice clone）
- ./qwen3-tts-base:/models/qwen3-base:ro
ports:
- "8002:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-base
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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docker-compose-customer.yml Normal file
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services:
qwen3-tts:
image: qwen3-tts-custom:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts
restart: unless-stopped
gpus: all
environment:
# HF cache 仍然保留（Tokenizer 可能还会用到）
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
# HF 缓存（可选，但推荐）
- ./cache:/cache
# ✅ 你的本地模型目录，挂载进容器
- ./qwen3-tts-customer:/models/qwen3-tts:ro
ports:
- "8000:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-tts
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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services:
qwen3-tts-voicedesign:
image: qwen3-tts-voicedesign:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts-voicedesign
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 VoiceDesign 模型目录（你需要提前下载好）
- ./qwen3-tts-design:/models/qwen3-voicedesign:ro
ports:
- "8001:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-voicedesign
--ip 0.0.0.0
--port 8000
--no-flash-attn
"

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services:
qwen3-tts-custom:
image: qwen3-tts-custom:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts-custom
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
- ./qwen3-tts-customer:/models/qwen3-custom:ro
ports:
- "8000:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-custom
--ip 0.0.0.0
--port 8000
--no-flash-attn
"
qwen3-tts-voicedesign:
image: qwen3-tts-voicedesign:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts-voicedesign
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 VoiceDesign 模型目录（你需要提前下载好）
- ./qwen3-tts-design:/models/qwen3-voicedesign:ro
ports:
- "8001:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-voicedesign
--ip 0.0.0.0
--port 8000
--no-flash-attn
"
qwen3-tts-base:
image: qwen3-tts-base:${QWEN_TTS_VERSION:-1.2.1}
container_name: qwen3-tts-base
restart: unless-stopped
gpus: all
environment:
HF_HOME: /cache/hf
HUGGINGFACE_HUB_CACHE: /cache/hf/hub
TRANSFORMERS_CACHE: /cache/hf/transformers
volumes:
- ./cache:/cache
# 这里换成你本地 Base 模型目录（用于 voice clone）
- ./qwen3-tts-base:/models/qwen3-base:ro
ports:
- "8002:8000"
command: >
bash -lc "
qwen-tts-demo /models/qwen3-base
--ip 0.0.0.0
--port 8000
--no-flash-attn
"