8000 Releases · SWivid/F5-TTS · GitHub
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Releases: SWivid/F5-TTS

1.1.5

05 Jun 23:10
@SWivid SWivid
1.1.5
646f34b
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1.1.5 Latest
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What's Changed

New Contributors

Full Changelog: 1.1.4...1.1.5

Contributors

ionite34, Nietism, and 2 other contributors
Assets 2
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1.1.4

04 May 20:07
@SWivid SWivid
1.1.4
ac79d0e
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1.1.4

Full Changelog: 1.1.3...1.1.4

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1.1.3

04 May 17:54
@SWivid SWivid
1.1.3
7c741c0
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1.1.3

Full Changelog: 1.1.0...1.1.3

  • v1.1.3 better gradio inference ui, with cherrypick, cache and load text from file support
  • v1.1.2 update data prepare script; fix speech edit; fix tensorrt-llm server code-switch inference
  • v1.1.1 add benchmark and trtllm offline code

Thanks to @yuekaizhang @fakerybakery @petermg @TBXark

Contributors

TBXark, petermg, and 2 other contributors
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1.1.0

03 Apr 06:53
@SWivid SWivid
1.1.0
25b3291
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1.1.0

Full Changelog: 1.0.8...1.1.0

Contributors

huanglizhuo, yuekaizhang, and ZhikangNiu
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1.0.8

24 Mar 23:55
@SWivid SWivid
1.0.8
b9156c0
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1.0.8

Full Changelog: 1.0.3...1.0.8

  • v1.0.8 fix a fatal bug with log_samples since 37eb3b5 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
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1.0.3

16 Mar 18:50
@SWivid SWivid
1.0.3
7e4985c
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1.0.3

Full Changelog: 1.0.0...1.0.3

  • v1.0.3 fix random seed and model loading in api.py #865
  • v1.0.2 pass the use_reentrant in torch.utils.checkpoint.checkpoint explicitly for compatibility with torch>=2.4 #859
  • v1.0.1 memory management for extra large batches with chunk inference #851
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1.0.0

12 Mar 16:12
@SWivid SWivid
1.0.0
128f4e4
This commit was created on GitHub.com and signed with GitHub’s verified signature.
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1.0.0

Full Changelog: 0.6.2...1.0.0

Major updates:

  • Add text padding mask for both filler tokens and padding tokens.
  • Zero-initialize adaptive layernorm in DiT.
  • Apply full Rotary Positional Embedding.

Thanks to everyone who has offered advice and support.

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0.6.2

12 Mar 09:20
@SWivid SWivid
0.6.2
09b478b
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0.6.2
  • F5-TTS v0 stable version for filing.
  • Thanks again to everyone involved in this project.
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