Looking-Ahead
Collection
Looking Ahead: Modeling Future Evolution in Autoregressive Video Generation • 3 items • Updated • 2
Final weights for Future Chunk Prediction (FCP) and the Teacher Forcing (TF) baseline. Use each model with its matching configuration in the Looking-Ahead code repository.
| Model | Method | Configuration | Final weights |
|---|---|---|---|
| 1.3B | TF | tf_wan21_t2v_1.3b |
Download |
| 1.3B | FCP | fcp_wan21_t2v_1.3b |
Download |
| 5B | TF | tf_wan22_ti2v_5b |
Download |
| 5B | FCP | fcp_wan22_ti2v_5b |
Download |
Run from the code repository root to download the final weights:
hf download TencentARC/Looking-Ahead --local-dir weights/Looking-Ahead
The four final weight files total approximately 63.2 GiB.
After preparing the code environment and required Wan components:
uv run python inference.py \
--config fcp_wan21_t2v_1.3b \
--checkpoint_path weights/Looking-Ahead/fcp_wan21_t2v_1.3b/model_ema.pt \
--use_ema \
--image_path examples/inference/i2v/sailboat_lake.png \
--prompt_file examples/inference/i2v/sailboat_lake.txt \
--duration 5s --seed 42 \
--output_path outputs/fcp_example
To use another model, change both the configuration and weight folder.
Keep the filename model_ema.pt and the --use_ema flag.
See the code repository for setup and further examples.
Apache-2.0. See NOTICE for required notices.