amphion/Emilia-Dataset
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How to use eamag/f5-tts-mlx-german with F5-TTS:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
How to use eamag/f5-tts-mlx-german with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir f5-tts-mlx-german eamag/f5-tts-mlx-german
Copied from https://huggingface.co/marduk-ra/F5-TTS-German, added trained duration model on emilia dataset using https://github.com/eamag/f5-tts-duration
Inference with https://github.com/lucasnewman/f5-tts-mlx
python -m f5_tts_mlx.generate --model "eamag/f5-tts-mlx-german" \
--text "The quick brown fox jumped over the lazy dog." \
--ref-audio /path/to/audio.wav \
--ref-text "This is the caption for the reference audio."
Github: https://github.com/SWivid/F5-TTS
Paper: F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
NOTE: You can set the number of nfe steps to 64 to produce better quality sound.
Quantized