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echo-dit.gguf - EchoDiT diffusion transformer weights (F16 GGUF, best quality)echo-dit-q8.gguf - EchoDiT diffusion transformer weights (Q8_0 GGUF, near-lossless, lower VRAM)onnx/ - S1-DAC autoencoder (ONNX format) for audio encoding/decoding1# F16 GGUF model (5.6 GB) — best quality
2huggingface-cli download tmdarkbr/echo-tts-gguf echo-dit.gguf --local-dir .
3
4# Q8_0 GGUF model (3.3 GB) — near-lossless, lower VRAM
5huggingface-cli download tmdarkbr/echo-tts-gguf echo-dit-q8.gguf --local-dir .
6
7# ONNX DAC models
8huggingface-cli download tmdarkbr/echo-tts-gguf onnx/ --local-dir onnx_models1echo-tts \
2 --model echo-dit.gguf \
3 --speaker speaker.wav \
4 --dac-encoder onnx_models/dac_encoder.onnx \
5 --dac-decoder onnx_models/dac_decoder.onnx \
6 --text "[S1] Hello world." \
7 --output output.wavecho-dit-q8.gguf instead of echo-dit.gguf for lower VRAM usage with near-lossless quality.| File | Size | Description |
|---|---|---|
echo-dit.gguf | 5.6 GB | EchoDiT transformer (2048-dim, 24 layers, F16) |
echo-dit-q8.gguf | 3.3 GB | EchoDiT transformer (2048-dim, 24 layers, Q8_0) |
onnx/dac_encoder.onnx | 1.5 MB | S1-DAC encoder graph |
onnx/dac_encoder.onnx.data | 796 MB | S1-DAC encoder weights |
onnx/dac_decoder.onnx | 0.9 MB | S1-DAC decoder graph |
onnx/dac_decoder.onnx.data | 704 MB | S1-DAC decoder weights |
1@misc{darefsky2025echo,
2 author = {Darefsky, Jordan},
3 title = {Echo-TTS},
4 year = {2025},
5 url = {https://jordandarefsky.com/blog/2025/echo/}
6}