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Check out the documentation for more information.

Model files for the avatar render service

These four files are the complete set required to run avatar_server.py (port 8991). Total: 1.4 GB.

file size sha256 (first 16) purpose
generator_last.ckpt 1.3 GB see SHA256SUMS static IMTalker generator (audio β†’ motion), nfe=3, cfg=1.24
renderer_narrow.pt 43 MB see SHA256SUMS distilled renderer (motion β†’ 512Β² frames), ~6 ms/frame
ref.jpeg 28 KB see SHA256SUMS reference identity photo
ref_x.pt 1.6 KB see SHA256SUMS cached reference latent β€” removes the need for renderer.ckpt

Deliberately not included:

  • renderer.ckpt (2.0 GB, full IMTalker renderer) β€” only needed if you want to rebuild ref_x.pt. The cached ref_x.pt makes it unnecessary.
  • wav2vec2-base-960h (361 MB) β€” public. prepare.sh pulls it from facebook/wav2vec2-base-960h automatically.

Where these files live on 5090-06

generator_last.ckpt   /home/ubuntu/project/speech2avatar_imtalker_personaplex_8998/
                        checkpoints/live_winner/fullgen_static_2s_6400_resume/last.ckpt
renderer_narrow.pt    /home/ubuntu/project/imtalker_world_model/design_a/
                        checkpoints/renderer_narrow/best.pt
ref.jpeg              /home/ubuntu/project/speech2avatar_imtalker_personaplex_8998/
                        IMTalker/assets/3robert.jpeg
ref_x.pt              /home/ubuntu/project/avatar_8991/ref_x.pt

The convenience symlinks under /home/ubuntu/project/speech2face/weights/ point at those locations; the staged copies in /home/ubuntu/project/hf_upload/ are dereferenced copies ready to upload.

Upload

pip install -U huggingface_hub
export HF_TOKEN=hf_xxx
huggingface-cli upload <your-username>/avatar-weights /home/ubuntu/project/hf_upload . \
  --repo-type model

Then the consumer side is exactly:

export HF_TOKEN=hf_xxx
export HF_REPO=<your-username>/avatar-weights
./prepare.sh
./run.sh
curl -s -F "audio=@sample.wav" http://localhost:8991/render

Verified

The package was extracted to a clean directory, started with run.sh, and rendered a 9.89 s clip in 1.89 s (rtf 0.19, fps 25, 512Β²). All Python imports resolve inside the package β€” nothing reads the original /home/ubuntu/project tree.

Not yet exercised: the HF_TOKEN/HF_REPO download branch, because the files were not uploaded at test time (the test used MODELS_DIR links).

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