Fetching metadata from the HF Docker repository...
Iñaki Marin
More changes.
c853a45
unverified
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bin
Initial refractor
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models
remove redundant phonemize for vall-e (oops), quantize all files and then phonemize all files for cope optimization, load alignment model once instead of for every transcription (speedup with whisperx)
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modules
New Changes.
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results
Initial refractor
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src
modified logic to determine valid voice folders, also allows subdirs within the folder (for example: ./voices/SH/james/ will be named SH/james)
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training
a bit of UI cleanup, import multiple audio files at once, actually shows progress when importing voices, hides audio metadata / latents if no generated settings are detected, preparing datasets shows its progress, saving a training YAML shows a message when done, training now works within the web UI, training output shows to web UI, provided notebook is cleaned up and uses a venv, etc.
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voices
Initial refractor
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8.2 kB
More changes.
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31 Bytes
docker support
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1.92 kB
experimental multi-gpu training (Linux only, because I can't into batch files)
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191 Bytes
while I'm breaking things, migrating dependencies to modules folder for tidiness
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1.47 kB
docker: add ffmpeg for whisper and general cleanup
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34.7 kB
Initial refractor
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1.38 kB
Update README.md
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5.27 kB
share if you
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3.02 kB
fixed notebooks, provided paperspace notebook
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118 Bytes
setup bnb on windows as needed
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382 Bytes
setup bnb on windows as needed
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585 Bytes
DLAS is PIPified (but I'm still cloning it as a submodule to make updating it easier)
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788 Bytes
DLAS is PIPified (but I'm still cloning it as a submodule to make updating it easier)
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512 Bytes
DLAS is PIPified (but I'm still cloning it as a submodule to make updating it easier)
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96 Bytes
docker support
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371 Bytes
while I'm breaking things, migrating dependencies to modules folder for tidiness
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799 Bytes
DLAS is PIPified (but I'm still cloning it as a submodule to make updating it easier)
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463 Bytes
docker support
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106 Bytes
added PYTHONUTF8 to start/train bats
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119 Bytes
:)
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646 Bytes
docker: add training script
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104 Bytes
;)
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85 Bytes
;)
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414 Bytes
removed the hotfix pip installs that whisperx requires now that whisperx is gone
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458 Bytes
DLAS is PIPified (but I'm still cloning it as a submodule to make updating it easier)
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39 Bytes
added button to just load a training set's loss information, added installing broncotc/bitsandbytes-rocm when running setup-rocm.sh
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220 Bytes
added PYTHONUTF8 to start/train bats
