mirror of
https://github.com/OpenBMB/VoxCPM.git
synced 2026-09-20 10:53:32 +08:00
da5b2da097
- nginx: return 200 OK on GET / for load balancer health checks - Dockerfile: set HF_HOME=/app/models so Hub downloads persist in mounted volume - Dockerfile: add /app/data directory and volume declaration - docker-compose: explicit volume mounts for models, data, lora, output - README: document where to put training files and find output - .gitignore: exclude volume mount directories (models/, data/, lora/, output/)
53 lines
2.3 KiB
Docker
53 lines
2.3 KiB
Docker
# ─────────────────────────────────────────────────────────────────────
|
|
# VoxCPM Training WebUI — Docker image
|
|
# ─────────────────────────────────────────────────────────────────────
|
|
# Base: PyTorch with CUDA for GPU-accelerated LoRA fine-tuning.
|
|
# Build context should be the project root:
|
|
#
|
|
# docker build -f docker/Dockerfile -t voxcpm-training .
|
|
#
|
|
# ─────────────────────────────────────────────────────────────────────
|
|
FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-devel
|
|
|
|
LABEL maintainer="OpenBMB <openbmb@gmail.com>"
|
|
LABEL description="VoxCPM LoRA Training WebUI with GPU support"
|
|
|
|
# Avoid interactive prompts during package installation
|
|
ENV DEBIAN_FRONTEND=noninteractive
|
|
|
|
# System deps required by Python packages:
|
|
# git — setuptools_scm needs it to resolve version in pyproject.toml
|
|
# libsndfile1 — C library backing the 'soundfile' Python package
|
|
# ffmpeg — audio codec support for torchaudio/librosa
|
|
RUN apt-get update && apt-get install -y --no-install-recommends \
|
|
git \
|
|
libsndfile1 \
|
|
ffmpeg \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
WORKDIR /app
|
|
|
|
# Layer 1: Install dependencies only (cached unless pyproject.toml changes)
|
|
# Create a minimal package stub so pip can resolve deps without real source.
|
|
COPY pyproject.toml /app/
|
|
RUN mkdir -p /app/src/voxcpm && echo '__version__ = "0.0.0"' > /app/src/voxcpm/__init__.py
|
|
ENV SETUPTOOLS_SCM_PRETEND_VERSION=0.0.0
|
|
RUN pip install --no-cache-dir -e .
|
|
|
|
# Layer 2: Copy full project source (cheap rebuild on code changes)
|
|
COPY . /app/
|
|
|
|
# Create default directories and declare volumes
|
|
RUN mkdir -p /app/lora /app/models /app/output /app/data
|
|
VOLUME ["/app/models", "/app/lora", "/app/output", "/app/data"]
|
|
|
|
EXPOSE 7860
|
|
|
|
# Environment variables for configuration
|
|
ENV GRADIO_SERVER_PORT=7860
|
|
ENV GRADIO_ROOT_PATH=""
|
|
ENV HF_HOME=/app/models
|
|
|
|
# Default: launch training WebUI
|
|
CMD ["python", "lora_ft_webui.py"]
|