| #### Frame Interpolation | |
| We use AMT as our frame interpolation model. (Thanks [AMT](https://github.com/MCG-NKU/AMT)) After sampling, you can use frame interpolation model to interpolate your video smoothly. | |
| 1. Download the pretrained weights from [AMT](https://github.com/MCG-NKU/AMT), we recommend using the largest model AMT-G to achieve the best performance. | |
| 2. Run the script of frame interpolation. | |
| ``` | |
| python opensora/models/frame_interpolation/interpolation.py --ckpt /path/to/ckpt --niters 1 --input /path/to/input/video.mp4 --output_path /path/to/output/floder --frame_rate 30 | |
| ``` | |
| 3. The output video will be stored at output_path and its duration time is equal `the total number of frames after frame interpolation / the frame rate` | |
| ##### Frame Interpolation Specific Settings | |
| * `--ckpt`: Pretrained model of [AMT](https://github.com/MCG-NKU/AMT). We use AMT-G as our frame interpolation model. | |
| * `--niter`: Iterations of interpolation. With $m$ input frames, `[N_ITER]` $=n$ corresponds to $2^n\times (m-1)+1$ output frames. | |
| * `--input`: Path of the input video. | |
| * `--output_path`: Folder Path of the output video. | |
| * `--frame_rate"`: Frame rate of the output video. | |