mcleanie/UCPE-useful-checkpoints
UCPE Useful Checkpoints Public backup for selected UCPE checkpoints from: /mnt/dataset/zt8kgo/ucpe_ckpt/logs/ This repo intentionally does not mirror the whole logs directory. The source tree was about 1.3T and contained many large prediction and optimizer artifacts. The files here are the small set most useful for continuing the PanShot nodistort and soft camera RoPE work after remote shutdown. Related Code Clone the codebase: git clone… See the full description on the dataset page: https://huggingface.co/datasets/mcleanie/UCPE-useful-checkpoints.
UCPE Useful Checkpoints
Public backup for selected UCPE checkpoints from:
/mnt/dataset/zt8kgo/ucpe_ckpt/logs/This repo intentionally does not mirror the whole logs directory. The source tree was about 1.3T and contained many large prediction and optimizer artifacts. The files here are the small set most useful for continuing the PanShot nodistort and soft camera RoPE work after remote shutdown.
Related Code
Clone the codebase:
git clone https://github.com/jinhong-ni/CCVG.git UCPE
cd UCPE
git checkout soft-camera-rope-f1Primary recovery instructions are also copied in:
context/REMOTE_SHUTDOWN_RECOVERY.md
context/fix_base_rope.mdDataset
Use the non-distorted PanShot dataset for all future experiments:
https://huggingface.co/datasets/mcleanie/PanShot-nodistortOn the source machine the dataset path was:
/mnt/dataset/zt8kgo/ucpe_ckpt/data/UCPE/PanShot-nodistortUploaded Checkpoints
Each run also includes its config.yaml when available. wan22ucpe-20260526-005237 also includes train.log.
Omitted Files
last.ckpt siblings were not uploaded for the selected Lightning runs because they are the same training endpoint as the explicit epoch=... checkpoint and would cost another 3G each. Prediction folders, W&B binary logs, and DeepSpeed optimizer shards were also omitted.
Restore Notes
The Lightning checkpoints were saved with PyTorch Lightning 2.6.1 in the UCPE conda environment. Restore the environment from the code repo files:
conda create -n UCPE --file environment-ucpe-explicit.txt
conda activate UCPE
python -m pip install -r requirements-ucpe-pip-freeze.txt
python -m pip install -e .Then point configs at the restored nodistort dataset path. If a checkpoint path is hard-coded in a config, update it to the local downloaded file.
