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datascale-ai/
quicktalk

onnx

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QuickTalk weights for OpenTalking

This repository contains the QuickTalk runtime files used by OpenTalking.

Files

Path	SHA256	Notes
`quicktalk.pth`	`fc8a7ea025c99a471ef00738874be5ecb6b5dfaf88ff6a1255a5d45a05d73001`	TorchScript QuickTalk model; verified with `torch.jit.load`.
`repair.npy`	`9ea50edde851bf3b12aa22d67b6f0db4f2930f3d9b7b3febcbd383e14117bfca`	QuickTalk repair asset.
`chinese-hubert-large/config.json`	`8511d73054ac289ef47a527efdfd6738d2cb60f69f2973fdc9277492d9ff854b`	HuBERT config matching the validated OpenTalking QuickTalk runtime.
`chinese-hubert-large/preprocessor_config.json`	`6334d6e0c5f2084c9a99b85ddff243cbc79dbaa4aa790bcddf8c41c496fab6fb`	HuBERT feature extractor config matching the validated OpenTalking QuickTalk runtime.
`chinese-hubert-large/pytorch_model.bin`	`9cf43abec3f0410ad6854afa4d376c69ccb364b48ddddfd25c4c5aa16398eab0`	HuBERT checkpoint matching `facebook/hubert-large-ls960-ft`, Apache-2.0 License.

The HuBERT directory mirrors the file combination validated with OpenTalking QuickTalk. Its pytorch_model.bin matches the public facebook/hubert-large-ls960-ft checkpoint; the config files are kept as the validated runtime configs. Please review the upstream model cards and licenses before redistribution.

Download

bash

hf download datascale-ai/quicktalk \
  quicktalk.pth \
  repair.npy \
  chinese-hubert-large/config.json \
  chinese-hubert-large/preprocessor_config.json \
  chinese-hubert-large/pytorch_model.bin \
  --local-dir models/quicktalk/checkpoints

OpenTalking still requires InsightFace buffalo_l files under models/quicktalk/checkpoints/auxiliary/models/buffalo_l/.