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pancx/StreamAvatar-AROD
StreamAvatar-AROD is a image-to-video model from pancx. Use it for the image-to-video task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This repository hosts the public StreamAvatar AROD real-anchor student checkpoint.
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From the Hugging Face model README
This repository hosts the public StreamAvatar AROD real-anchor student checkpoint.
AROD stands for Autoregressive One-step Denoising. It is a blockwise student model distilled from a DyStream teacher for faster audio-to-motion inference in the StreamAvatar project.
blockwise_latest.pt: AROD real-anchor student checkpoint.config.yaml: sanitized inference/training configuration for the checkpoint.pip install huggingface-hub
mkdir -p outputs/blockwise_stream_distill_cross_fm_teacher_cache_anchor_pretrain_60k
huggingface-cli download pancx/StreamAvatar-AROD blockwise_latest.pt \
--local-dir outputs/blockwise_stream_distill_cross_fm_teacher_cache_anchor_pretrain_60k
Expected SHA256:
01893fabb842fcc8e9817a8e2530108d75932aad4f6ac4136e5c22b94702e860
Code and full setup instructions are available at:
https://github.com/CXP-2024/StreamAvatar
The checkpoint requires the StreamAvatar/DyStream codebase, the original DyStream teacher checkpoint, Wav2Vec2 assets, and the renderer checkpoint described in the project README.