diodiogod
48608775e0
Handle incompatible FlashAttention installs in F5-TTS Technical details: - Validate optional FlashAttention submodules before enabling the backend - Keep F5-TTS on PyTorch attention when FlashAttention is partial or incompatible - Improve the explicit FlashAttention backend error - Address issue #334
F5-TTS (Bundled Version)
This is a bundled version of F5-TTS included with TTS Audio Suite to resolve dependency conflicts.
Original Project
- Original Repository: https://github.com/SWivid/F5-TTS
- Original Version: 1.1.7
- License: MIT License (see LICENSE file)
Modifications
This bundled version has been modified from the original:
- Dependency Fix: Changed
numpy<=1.26.4tonumpy>=1.24.0to support numpy 2.x - Package Name: Renamed to
f5-tts-bundledto avoid conflicts with pip-installed version
Why Bundled?
The original F5-TTS 1.1.7 has a restrictive numpy<=1.26.4 constraint that conflicts with modern ML packages requiring numpy>=2.0.0. However, F5-TTS works perfectly fine with numpy 2.x in practice.
This bundled version allows TTS Audio Suite users to:
- Use F5-TTS without dependency conflicts
- Install alongside other ML packages requiring numpy 2.x
- Avoid complex workarounds like
--no-depsinstallations
Copyright Notice
This bundled version complies with the MIT License of the original F5-TTS project. All original copyright notices and attributions are preserved.
Original Copyright: Copyright (c) 2024 Yushen CHEN Bundled by: TTS Audio Suite