---
license: apache-2.0
language:
- en
---
# Metal compatible models for Frame Interpolation in PyTorch
This repository contains exported models for [Frame interpolation in PyTorch](https://github.com/dajes/frame-interpolation-pytorch) and [ComfyUI Frame Interpolation \(ComfyUI VFI\)](https://github.com/Fannovel16/ComfyUI-Frame-Interpolation).
The models from [v1.0.2](https://github.com/dajes/frame-interpolation-pytorch/releases/tag/v1.0.2) distributed in the [Frame interpolation in PyTorch](https://github.com/dajes/frame-interpolation-pytorch) repository have an issue where they don't work on Apple Silicon Macs ([Runtime error: MPS Unsupported Border padding mode](https://github.com/dajes/frame-interpolation-pytorch/issues/4)).
These models have been re-exported using a [patch](https://github.com/dajes/frame-interpolation-pytorch/pull/6) that resolves this issue.

The models were created using the following steps:

1. Clone the original repository and install dependencies:
```
git clone https://github.com/dajes/frame-interpolation-pytorch.git
cd frame-interpolation-pytorch

uv venv
uv pip install -r requirements.txt 
uv pip install tensorflow   
```

2. Download model files distributed by [FILM: Frame Interpolation for Large Motion](https://github.com/google-research/frame-interpolation) from [Google Drive](https://drive.google.com/drive/folders/153dvxVSAcsNv1cyHVJySYZ-Twchm4Jdi) and place them in the repository root:
```
tree
.
├── export.py
├── feature_extractor.py
├── fusion.py
├── inference.py
├── interpolator.py
├── LICENSE
├── photos
│   ├── one.png
│   ├── output.gif
│   └── two.png
├── pyramid_flow_estimator.py
├── README.md
├── requirements.txt
├── saved_model
│   ├── assets
│   ├── keras_metadata.pb
│   ├── saved_model.pb
│   └── variables
│       ├── variables.data-00000-of-00001
│       └── variables.index
└── util.py
```

3. Apply the [patch](https://github.com/dajes/frame-interpolation-pytorch/pull/6):
```
curl -L https://github.com/dajes/frame-interpolation-pytorch/pull/6.patch -o PR6.patch
git apply PR6.patch
```

4. Export the models:
```
uv run export.py ./saved_model film_net_fp16.pt 
uv run export.py ./saved_model film_net_fp32.pt --fp32
```

## Citation
In accordance with the requirements of the original repositories, if you use these model files, please cite the following:
```
@inproceedings{reda2022film,
 title = {FILM: Frame Interpolation for Large Motion},
 author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless},
 booktitle = {European Conference on Computer Vision (ECCV)},
 year = {2022}
}
```

```
@misc{film-tf,
  title = {Tensorflow 2 Implementation of "FILM: Frame Interpolation for Large Motion"},
  author = {Fitsum Reda and Janne Kontkanen and Eric Tabellion and Deqing Sun and Caroline Pantofaru and Brian Curless},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/google-research/frame-interpolation}}
}
```

## License
Following the original repositories, [Frame Interpolation in PyTorch](https://github.com/dajes/frame-interpolation-pytorch) and [FILM: Frame Interpolation for Large Motion](https://github.com/google-research/frame-interpolation), this project is licensed under the Apache 2.0 License.