| license: apache-2.0 | |
| pipeline_tag: image-to-video | |
| # LongE2V | |
| Released LoRA weights for **LongE2V**, fine-tuned on top of `THUDM/CogVideoX-5b-I2V`. | |
| This model is presented in the paper [LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models](https://huggingface.co/papers/2607.08770). | |
| - **Project Page**: https://cdfan0627.github.io/LongE2V-page/ | |
| - **Code**: [cdfan0627/LongE2V](https://github.com/cdfan0627/LongE2V) (contains training and evaluation scripts for this model) | |
| - **Data**: preprocessed evaluation/training data (ECD, HQF, MVSEC) is released at [fansam39/LongE2V-data](https://huggingface.co/datasets/fansam39/LongE2V-data). | |
| ## Files | |
| - `pytorch_lora_weights.safetensors`: LoRA weights for the CogVideoX-5b-I2V base model. | |
| ## Usage | |
| ```bash | |
| WEIGHT_URL=https://huggingface.co/fansam39/LongE2V/resolve/main/pytorch_lora_weights.safetensors bash scripts/download_weights.sh | |
| ``` | |
| Or with the Hugging Face CLI: | |
| ```bash | |
| hf download fansam39/LongE2V pytorch_lora_weights.safetensors --local-dir weights | |
| ``` | |
| See the code repository's README for full inference and evaluation instructions. |