Co-authored-by: Vikram Voleti <vikram@ip-26-0-153-234.us-west-2.compute.internal>
This commit is contained in:
Vikram Voleti
2024-03-19 00:08:10 +05:30
committed by GitHub
parent fba930d400
commit 2a532db0e8

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@@ -12,7 +12,6 @@
- We extend the streamlit demo `scripts/demo/video_sampling.py` and the standalone python script `scripts/sampling/simple_video_sample.py` for inference of both models.
- Please check our [project page](https://sv3d.github.io), [tech report](https://sv3d.github.io/static/paper.pdf) and [video summary](https://youtu.be/Zqw4-1LcfWg) for more details.
<<<<<<< HEAD
To run SV3D_u on a single image:
- Download `sv3d_u.safetensors` from https://huggingface.co/stabilityai/sv3d to `checkpoints/sv3d_u.safetensors`
- Run `python scripts/sampling/simple_video_sample.py --input_path <path/to/image.png> --version sv3d_u`
@@ -20,10 +19,6 @@ To run SV3D_u on a single image:
Additionally for SV3D_p,
- Specify sequences of 21 elevations and 21 azimuths (in degrees) to `elevations_deg` ([-90, 90]), and `azimuths_deg` [0, 360] in sorted order from 0 to 360. For example:
`python scripts/sampling/simple_video_sample.py --input_path <path/to/image.png> --version sv3d_p --elevations_deg [<list of 21 elevations in degrees>] --azimuths_deg [<list of 21 azimuths in degrees>]`
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To run SV3D on a single image:
`python scripts/sampling/simple_video_sample.py --input_path <path/to/image.png> --version sv3d_p`
>>>>>>> main
To run SVD or SV3D on a streamlit server:
`streamlit run scripts/demo/video_sampling.py`