Voice conversion pipeline (Soprano TTS → RVC) with Docker support. Previously tracked as bare gitlink; removed .git/ directories and absorbed into main repo for unified tracking. Includes: Soprano TTS, RVC WebUI integration, Docker configs, WebSocket API, and benchmark scripts. Updated .gitignore to exclude large model weights (*.pth, *.pt, *.onnx, *.index). 287 files (3.1GB of ML weights properly excluded via gitignore).
2.2 KiB
2.2 KiB
Docker Image Archive Instructions
Build Stage Archive Strategy
The multi-stage Dockerfile creates two images:
- Builder stage (
soprano_to_rvc-rvc:builder) - Contains all build tools and compiled dependencies (~85GB) - Runtime stage (
soprano_to_rvc-rvc:latest) - Minimal runtime image (~15-20GB target)
After Build Completes
Archive the builder stage to /4TB/Docker/ for future reuse:
# 1. Tag the builder stage (it's created during multi-stage build)
docker tag $(docker images -q --filter "label=stage=builder" soprano_to_rvc-rvc) soprano_to_rvc-rvc:builder
# 2. Save the builder image to archive
mkdir -p /4TB/Docker
docker save soprano_to_rvc-rvc:builder | gzip > /4TB/Docker/soprano-rvc-builder-rocm6.4-pytorch2.5.1.tar.gz
# 3. Verify the archive
ls -lh /4TB/Docker/soprano-rvc-builder-rocm6.4-pytorch2.5.1.tar.gz
# 4. Check final runtime image size
docker images soprano_to_rvc-rvc:latest
To Restore Builder from Archive
If you need to rebuild or modify dependencies later:
# Load the archived builder image
docker load < /4TB/Docker/soprano-rvc-builder-rocm6.4-pytorch2.5.1.tar.gz
# Use it as a base for modifications
docker run --rm -it soprano_to_rvc-rvc:builder bash
Size Comparison
Before (single-stage):
- Image:
soprano_to_rvc-rvc:latest= 85.7 GB
After (multi-stage):
- Builder (archived): ~50-60 GB (compressed to ~20-25 GB)
- Runtime: ~15-20 GB
- Savings: ~65-70 GB on runtime image
What's Removed from Runtime
The runtime stage excludes:
- Build tools (gcc, g++, make, cmake)
- Development headers
- Git repositories
- pip cache
- Intermediate compilation artifacts
- Unused conda packages
What's Kept in Runtime
The runtime stage includes:
- ROCm libraries (required for GPU)
- PyTorch 2.5.1+rocm6.4
- All Python packages from requirements-rvc.txt
- RVC models and application code
- Minimal system libraries (ffmpeg, libsndfile, curl)
Archive Metadata
Created: 2026-01-15 Base Image: rocm/pytorch:rocm6.4_ubuntu22.04_py3.10_pytorch_release_2.5.1 PyTorch Version: 2.5.1+rocm6.4 ROCm Version: 6.4 Python Version: 3.10.x Target GPU: AMD RX 6800 (gfx1030) Key Fix: Apex removed (incompatible C++ extensions)