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1.0.8

SWivid/F5-TTS1.0.8Mar 24, 2025by SWivid

AI Summary

Addresses a critical training instability bug and improves Docker usage while adding options for model weight saving.

Key Highlights

  • Fixed fatal bug in log_samples causing training instability
  • Added option to save non-EMA model weights
  • Improved Docker usage and documentation

New Features

  • Training stability fix
  • Non-EMA model saving option
  • Docker improvements

Full Release Notes

**Full Changelog**: https://github.com/SWivid/F5-TTS/compare/1.0.3...1.0.8

- v1.0.8 fix a fatal bug with log_samples since 37eb3b50da8fdcb24f8b420b5f91246d85d4f5b5 that may be the root cause of training instability and unknown performance degradation
- v1.0.7 add no_zero_init v1 variant path to SHARED.md; add option in finetune gradio to save non-ema model weight
- v1.0.6 improves docker usage and along with other documentation
- v1.0.5 update finetune_gradio.py for clearer guidance
- v1.0.4 fix finetune_gradio.py vocab extend operation with checkpoint in .safetensors format