Docker Auto-Build Workflow

.dockerignore

@@ -1,8 +1,197 @@
-docs
+GPT_SoVITS/pretrained_models/*
-logs
+tools/asr/models/*
+tools/uvr5/uvr5_weights/*
+
+.DS_Store
+.vscode
+*.pyc
+env
+runtime
+.idea
 output
-reference
+logs
-SoVITS_weights
+SoVITS_weights*/
-GPT_weights
+GPT_weights*/
 TEMP
-.git
+weight.json
+ffmpeg*
+ffprobe*
+cfg.json
+speakers.json
+ref_audios
+
+# Byte-compiled / optimized / DLL files
+__pycache__/
+**/__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+.python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc

.github/workflows/docker-publish.yml

@@ -0,0 +1,60 @@
+name: Build and Publish Docker Image
+
+on:
+  workflow_dispatch:
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout Code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+            username: ${{ secrets.DOCKER_HUB_USERNAME }}
+            password: ${{ secrets.DOCKER_HUB_PASSWORD }}
+
+      - name: Generate Tag
+        id: meta
+        run: |
+            DATE=$(date +'%Y%m%d')
+            COMMIT=$(git rev-parse --short=6 HEAD)
+            echo "::set-output name=tag::${DATE}-${COMMIT}"
+    
+      - name: Build and Push Lite Docker Image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: ./Dockerfile
+          push: true
+          build-args: |
+            USE_FUNASR=true
+            USE_FASTERWHISPER=false
+            CUDA_VERSION=12.4
+          tags: |
+            xxxxrt666/gpt-sovits:lite-cu124-${{ steps.meta.outputs.tag }}
+            xxxxrt666/gpt-sovits:latest-lite
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+
+      - name: Build and Push Docker Image
+        uses: docker/build-push-action@v5
+        with:
+          context: .
+          file: ./Dockerfile
+          push: true
+          build-args: |
+            USE_FUNASR=true
+            USE_FASTERWHISPER=true
+            CUDA_VERSION=12.4
+          tags: |
+            xxxxrt666/gpt-sovits:cu124-${{ steps.meta.outputs.tag }}
+            xxxxrt666/gpt-sovits:latest
+          cache-from: type=gha
+          cache-to: type=gha,mode=max

.gitignore

@@ -7,13 +7,8 @@ runtime
 .idea
 output
 logs
-reference
+SoVITS_weights*/
-GPT_weights
+GPT_weights*/
-SoVITS_weights
-GPT_weights_v2
-SoVITS_weights_v2
-GPT_weights_v3
-SoVITS_weights_v3
 TEMP
 weight.json
 ffmpeg*

Docker/damo.sha256

@@ -1,3 +0,0 @@
-5bba782a5e9196166233b9ab12ba04cadff9ef9212b4ff6153ed9290ff679025 /workspace/tools/damo_asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model.pb
-b3be75be477f0780277f3bae0fe489f48718f585f3a6e45d7dd1fbb1a4255fc5 /workspace/tools/damo_asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch/model.pb
-a5818bb9d933805a916eebe41eb41648f7f9caad30b4bd59d56f3ca135421916 /workspace/tools/damo_asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch/model.pb

Docker/download.py

@@ -1,8 +0,0 @@
-# Download moda ASR related models
-from modelscope import snapshot_download
-
-model_dir = snapshot_download(
-    "damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch", revision="v2.0.4"
-)
-model_dir = snapshot_download("damo/speech_fsmn_vad_zh-cn-16k-common-pytorch", revision="v2.0.4")
-model_dir = snapshot_download("damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch", revision="v2.0.4")

Docker/download.sh

@@ -1,11 +0,0 @@
-#!/usr/bin/env bash
-
-set -Eeuo pipefail
-
-echo "Downloading models..."
-
-aria2c --disable-ipv6 --input-file /workspace/Docker/links.txt --dir /workspace --continue
-
-echo "Checking SHA256..."
-
-parallel --will-cite -a /workspace/Docker/links.sha256 "echo -n {} | sha256sum -c"

Docker/links.sha256

@@ -1,12 +0,0 @@
-b1c1e17e9c99547a89388f72048cd6e1b41b5a18b170e86a46dfde0324d63eb1 /workspace/GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt
-fc579c1db3c1e21b721001cf99d7a584214280df19b002e200b630a34fa06eb8 /workspace/GPT_SoVITS/pretrained_models/s2D488k.pth
-020a014e1e01e550e510f2f61fae5e5f5b6aab40f15c22f1f12f724df507e835 /workspace/GPT_SoVITS/pretrained_models/s2G488k.pth
-24164f129c66499d1346e2aa55f183250c223161ec2770c0da3d3b08cf432d3c /workspace/GPT_SoVITS/pretrained_models/chinese-hubert-base/pytorch_model.bin
-e53a693acc59ace251d143d068096ae0d7b79e4b1b503fa84c9dcf576448c1d8 /workspace/GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/pytorch_model.bin
-39796caa5db18d7f9382d8ac997ac967bfd85f7761014bb807d2543cc844ef05 /workspace/tools/uvr5/uvr5_weights/HP2_all_vocals.pth
-45e6b65199e781b4a6542002699be9f19cd3d1cb7d1558bc2bfbcd84674dfe28 /workspace/tools/uvr5/uvr5_weights/HP3_all_vocals.pth
-5908891829634926119720241e8573d97cbeb8277110a7512bdb0bd7563258ee /workspace/tools/uvr5/uvr5_weights/HP5_only_main_vocal.pth
-8c8fd1582f9aabc363e47af62ddb88df6cae7e064cae75bbf041a067a5e0aee2 /workspace/tools/uvr5/uvr5_weights/VR-DeEchoAggressive.pth
-01376dd2a571bf3cb9cced680732726d2d732609d09216a610b0d110f133febe /workspace/tools/uvr5/uvr5_weights/VR-DeEchoDeReverb.pth
-56aba59db3bcdd14a14464e62f3129698ecdea62eee0f003b9360923eb3ac79e /workspace/tools/uvr5/uvr5_weights/VR-DeEchoNormal.pth
-233bb5c6aaa365e568659a0a81211746fa881f8f47f82d9e864fce1f7692db80 /workspace/tools/uvr5/uvr5_weights/onnx_dereverb_By_FoxJoy/vocals.onnx

Docker/links.txt

@@ -1,34 +0,0 @@
-# GPT-SoVITS models
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/s1bert25hz-2kh-longer-epoch%3D68e-step%3D50232.ckpt
-  out=GPT_SoVITS/pretrained_models/s1bert25hz-2kh-longer-epoch=68e-step=50232.ckpt
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/s2D488k.pth
-  out=GPT_SoVITS/pretrained_models/s2D488k.pth
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/s2G488k.pth
-  out=GPT_SoVITS/pretrained_models/s2G488k.pth
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-hubert-base/config.json
-  out=GPT_SoVITS/pretrained_models/chinese-hubert-base/config.json
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-hubert-base/preprocessor_config.json
-  out=GPT_SoVITS/pretrained_models/chinese-hubert-base/preprocessor_config.json
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-hubert-base/pytorch_model.bin
-  out=GPT_SoVITS/pretrained_models/chinese-hubert-base/pytorch_model.bin
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-roberta-wwm-ext-large/config.json
-  out=GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/config.json
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-roberta-wwm-ext-large/pytorch_model.bin
-  out=GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/pytorch_model.bin
-https://huggingface.co/lj1995/GPT-SoVITS/resolve/main/chinese-roberta-wwm-ext-large/tokenizer.json
-  out=GPT_SoVITS/pretrained_models/chinese-roberta-wwm-ext-large/tokenizer.json
-# UVR5
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP2_all_vocals.pth
-  out=tools/uvr5/uvr5_weights/HP2_all_vocals.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP3_all_vocals.pth
-  out=tools/uvr5/uvr5_weights/HP3_all_vocals.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/HP5_only_main_vocal.pth
-  out=tools/uvr5/uvr5_weights/HP5_only_main_vocal.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoAggressive.pth
-  out=tools/uvr5/uvr5_weights/VR-DeEchoAggressive.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoDeReverb.pth
-  out=tools/uvr5/uvr5_weights/VR-DeEchoDeReverb.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/VR-DeEchoNormal.pth
-  out=tools/uvr5/uvr5_weights/VR-DeEchoNormal.pth
-https://huggingface.co/lj1995/VoiceConversionWebUI/resolve/main/uvr5_weights/onnx_dereverb_By_FoxJoy/vocals.onnx
-  out=tools/uvr5/uvr5_weights/onnx_dereverb_By_FoxJoy/vocals.onnx

Dockerfile

@@ -1,42 +1,77 @@
-# Base CUDA image
+ARG CUDA_VERSION=12.4
-FROM cnstark/pytorch:2.0.1-py3.9.17-cuda11.8.0-ubuntu20.04
 
-LABEL maintainer="breakstring@hotmail.com"
+FROM nvidia/cuda:${CUDA_VERSION}.1-cudnn-devel-ubuntu22.04
-LABEL version="dev-20240209"
+
+LABEL maintainer="XXXXRT"
+LABEL version="V4-0429"
 LABEL description="Docker image for GPT-SoVITS"
 
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    gcc \
+    g++ \
+    wget \
+    curl \
+    bzip2 \
+    unzip \
+    git \
+    vim \
+    htop \
+    procps \
+    ca-certificates \
+    locales \
+    net-tools \
+    iputils-ping \
+    && rm -rf /var/lib/apt/lists/*
 
-# Install 3rd party apps
+WORKDIR /workspace/GPT-SoVITS
-ENV DEBIAN_FRONTEND=noninteractive
-ENV TZ=Etc/UTC
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends tzdata ffmpeg libsox-dev parallel aria2 git git-lfs && \
-    git lfs install && \
-    rm -rf /var/lib/apt/lists/*
 
-# Copy only requirements.txt initially to leverage Docker cache
+COPY . /workspace/GPT-SoVITS
-WORKDIR /workspace
-COPY requirements.txt /workspace/
-RUN pip install --no-cache-dir -r requirements.txt
 
-# Define a build-time argument for image type
+RUN wget --tries=25 --wait=3 --read-timeout=40 -O anaconda.sh "https://repo.anaconda.com/archive/Anaconda3-2024.10-1-Linux-x86_64.sh" && \
-ARG IMAGE_TYPE=full
+    bash anaconda.sh -b -p /root/anaconda3 && \
+    rm anaconda.sh
 
-# Conditional logic based on the IMAGE_TYPE argument
+ARG USE_FUNASR=false
-# Always copy the Docker directory, but only use it if IMAGE_TYPE is not "elite"
+ARG USE_FASTERWHISPER=false
-COPY ./Docker /workspace/Docker 
-# elite 类型的镜像里面不包含额外的模型
-RUN if [ "$IMAGE_TYPE" != "elite" ]; then \
-        chmod +x /workspace/Docker/download.sh && \
-        /workspace/Docker/download.sh && \
-        python /workspace/Docker/download.py && \
-        python -m nltk.downloader averaged_perceptron_tagger cmudict; \
-    fi
 
+RUN if [ "$USE_FUNASR" = "true" ]; then \
+    echo "Downloading funasr..." && \
+    wget --tries=25 --wait=3 --read-timeout=40 "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/funasr.zip" && \
+    unzip funasr.zip -d tools/asr/models/ && \
+    rm -rf funasr.zip ; \
+  else \
+    echo "Skipping funasr download" ; \
+  fi
 
-# Copy the rest of the application
+RUN if [ "$USE_FASTERWHISPER" = "true" ]; then \
-COPY . /workspace
+    echo "Downloading faster-whisper..." && \
+    wget --tries=25 --wait=3 --read-timeout=40 "https://huggingface.co/XXXXRT/GPT-SoVITS-Pretrained/resolve/main/faster-whisper.zip" && \
+    unzip faster-whisper.zip -d tools/asr/models/ && \
+    rm -rf faster-whisper.zip ; \
+  else \
+    echo "Skipping faster-whisper download" ; \
+  fi
+
+ENV PATH="/root/anaconda3/bin:$PATH"
+
+SHELL ["/bin/bash", "-c"]
+
+RUN conda create -n GPTSoVITS python=3.10 -y
+
+ENV PATH="/usr/local/cuda/bin:$PATH"
+ENV CUDA_HOME="/usr/local/cuda"
+ENV MAKEFLAGS="-j$(nproc)"
+
+RUN source /root/anaconda3/etc/profile.d/conda.sh && \
+    conda activate GPTSoVITS && \
+    bash /workspace/install.sh --source HF --download-uvr5 && \
+    pip cache purge
+
+RUN rm -rf /root/anaconda3/pkgs
 
 EXPOSE 9871 9872 9873 9874 9880
 
-CMD ["python", "webui.py"]
+WORKDIR /workspace/GPT-SoVITS
+
+CMD ["/bin/bash", "-c", "source /root/anaconda3/etc/profile.d/conda.sh && conda activate GPTSoVITS && export PYTHONPATH=$(pwd) && exec bash"]

docker-compose.yaml

@@ -1,32 +1,47 @@
-version: '3.8'
+version: "3.8"
 
 services:
-  gpt-sovits:
+  GPT-SoVITS:
-    image: breakstring/gpt-sovits:latest   # please change the image name and tag base your environment. If the tag contains the word 'elite', such as "latest-elite", it indicates that the image does not include the necessary models such as GPT-SoVITS, UVR5, Damo ASR, etc. You will need to download them yourself and map them into the container.
+    image: xxxxrt666/gpt-sovits:latest
-    container_name: gpt-sovits-container
+    container_name: GPT-SoVITS
-    environment:
-      - is_half=False
-      - is_share=False
-    volumes:
-      - ./output:/workspace/output
-      - ./logs:/workspace/logs
-      - ./SoVITS_weights:/workspace/SoVITS_weights
-      - ./reference:/workspace/reference
-    working_dir: /workspace
     ports:
-      - "9880:9880"
       - "9871:9871"
       - "9872:9872"
       - "9873:9873"
       - "9874:9874"
-    shm_size: 16G
+      - "9880:9880"
-    deploy:
+    volumes:
-      resources:
+      - .:/workspace/GPT-SoVITS
-        reservations:
+      - /workspace/GPT-SoVITS/pretrained_models
-          devices:
+      - /workspace/tools/asr/models
-          - driver: nvidia
+      - /workspace/tools/uvr5/uvr5_weights
-            count: "all"
+    environment:
-            capabilities: [gpu]
+      - PYTHONPATH=/workspace/GPT-SoVITS
-    stdin_open: true
+      - is_half=true
     tty: true
+    stdin_open: true
+    shm_size: "16g"
     restart: unless-stopped
+    runtime: nvidia
+  GPT-SoVITS-Lite:
+    image: xxxxrt666/gpt-sovits:latest-lite
+    container_name: GPT-SoVITS-Lite
+    ports:
+      - "9871:9871"
+      - "9872:9872"
+      - "9873:9873"
+      - "9874:9874"
+      - "9880:9880"
+    volumes:
+      - .:/workspace/GPT-SoVITS
+      - /workspace/GPT-SoVITS/pretrained_models
+      - /workspace/tools/asr/models
+      - /workspace/tools/uvr5/uvr5_weights
+    environment:
+      - PYTHONPATH=/workspace/GPT-SoVITS
+      - is_half=true
+    tty: true
+    stdin_open: true
+    shm_size: "16g"
+    restart: unless-stopped
+    runtime: nvidia

docker_build.sh

@@ -0,0 +1,82 @@
+#!/bin/bash
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" &>/dev/null && pwd)"
+
+cd "$SCRIPT_DIR" || exit 1
+
+set -e
+
+if ! command -v docker &>/dev/null; then
+    echo "Docker Not Found"
+    exit 1
+fi
+
+trap 'echo "Error Occured at \"$BASH_COMMAND\" with exit code $?"; exit 1' ERR
+
+USE_FUNASR=false
+USE_FASTERWHISPER=false
+CUDA_VERSION=12.4
+
+print_help() {
+    echo "Usage: bash docker_build.sh [OPTIONS]"
+    echo ""
+    echo "Options:"
+    echo "  --cuda 12.4|12.8    Specify the CUDA VERSION (REQUIRED)"
+    echo "  --funasr            Build with FunASR Paraformer Model"
+    echo "  --faster-whisper    Build with Faster-Whisper-Large-V3 Model"
+    echo "  -h, --help          Show this help message and exit"
+    echo ""
+    echo "Examples:"
+    echo "  bash docker_build.sh --cuda 12.4 --funasr --faster-whisper"
+}
+
+# Show help if no arguments provided
+if [[ $# -eq 0 ]]; then
+    print_help
+    exit 0
+fi
+
+# Parse arguments
+while [[ $# -gt 0 ]]; do
+    case "$1" in
+    --cuda)
+        case "$2" in
+        12.1)
+            CUDA_VERSION=12.1
+            ;;
+        12.4)
+            CUDA_VERSION=12.4
+            ;;
+        12.8)
+            CUDA_VERSION=12.8
+            ;;
+        *)
+            echo "Error: Invalid CUDA_VERSION: $2"
+            echo "Choose From: [12.1, 12.4, 12.8]"
+            exit 1
+            ;;
+        esac
+        shift 2
+        ;;
+    --funasr)
+        USE_FUNASR=true
+        shift
+        ;;
+    --faster-whisper)
+        USE_FASTERWHISPER=true
+        shift
+        ;;
+    *)
+        echo "Unknown Argument: $1"
+        echo "Use -h or --help to see available options."
+        exit 1
+        ;;
+    esac
+done
+
+docker build \
+    --build-arg CUDA_VERSION=$CUDA_VERSION \
+    --build-arg USE_FUNASR=$USE_FUNASR \
+    --build-arg USE_FASTERWHISPER=$USE_FASTERWHISPER \
+    -t "${USER}/gpt-sovits:local" \
+    .

dockerbuild.sh

@@ -1,21 +0,0 @@
-#!/bin/bash
-
-# 获取当前日期，格式为 YYYYMMDD
-DATE=$(date +%Y%m%d)
-# 获取最新的 Git commit 哈希值的前 7 位
-COMMIT_HASH=$(git rev-parse HEAD | cut -c 1-7)
-
-# 构建 full 版本的镜像
-docker build --build-arg IMAGE_TYPE=full -t breakstring/gpt-sovits:latest .
-# 为同一个镜像添加带日期的标签
-docker tag breakstring/gpt-sovits:latest breakstring/gpt-sovits:dev-$DATE
-# 为同一个镜像添加带当前代码库Commit哈希值的标签
-docker tag breakstring/gpt-sovits:latest breakstring/gpt-sovits:dev-$COMMIT_HASH
-
-
-# 构建 elite 版本的镜像(无模型下载步骤，需手工将模型下载安装进容器)
-docker build --build-arg IMAGE_TYPE=elite -t breakstring/gpt-sovits:latest-elite .
-# 为同一个镜像添加带日期的标签
-docker tag breakstring/gpt-sovits:latest-elite breakstring/gpt-sovits:dev-$DATE-elite
-# 为同一个镜像添加带当前代码库Commit哈希值的标签
-docker tag breakstring/gpt-sovits:latest-elite breakstring/gpt-sovits:dev-$COMMIT_HASH-elite