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Decision brief
Soprano provides quick setup options and delivers realistic text-to-speech capability in both CUDA and CPU environments.
Good fit when
- When ultra-realistic speech quality is required
- In environments with either CUDA or CPU/MPS support, for flexibility
Avoid when
- If using Windows with CUDA necessitates an additional step to ensure PyTorch correctly supports CUDA
- For users requiring minimal installation complexity as setup can involve multiple steps
Observed Jul 16, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Slowing (195d since push)
- As of 3w
- Provenance
- Not a fork · Personal account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install sopranoSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Soprano offers quick installation options for both CUDA and CPU/MPS environments, providing ultra-realistic text-to-speech capabilities.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 30, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 30, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 30, 2026)
pip install soprano-tts[lmdeploy]Source link
Tags
README
Install with wheel (CUDA)
pip install soprano-tts[lmdeploy]
Install with wheel (CPU/MPS)
pip install soprano-tts
To get the latest features, you can install from source instead.
Install from source (CUDA)
git clone https://github.com/ekwek1/soprano.git
cd soprano
pip install -e .[lmdeploy]
Install from source (CPU/MPS)
git clone https://github.com/ekwek1/soprano.git
cd soprano
pip install -e .
⚠️ Warning: Windows CUDA users
On Windows with CUDA,
pipwill install a CPU-only PyTorch build. To ensure CUDA support works as expected, reinstall PyTorch explicitly with the correct CUDA wheel after installing Soprano:pip uninstall -y torch pip install torch==2.8.0 --index-url https://download.pytorch.org/whl/cu128
License
This project is licensed under the Apache-2.0 license. See LICENSE for details.
For agents
This page has a .md twin and JSON over the API.