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license: other
license_name: apple-ml-research
license_link: LICENSE
tags:
- 3d-gaussian-splatting
- view-synthesis
- monocular-3d
- gsplat
- sharp
- apple
library_name: sharp
pipeline_tag: image-to-3d
---
# SHARP — Single-Image 3D Gaussian View Synthesis
**Mirror of Apple's [SHARP](https://github.com/apple/ml-sharp) model weights**, converted to safetensors format for use with [ComfyUI-FFMPEGA](https://github.com/AEmotionStudio/ComfyUI-FFMPEGA).
## Model Description
SHARP predicts 3D Gaussian Splat (3DGS) parameters from a single photograph in under 1 second, then renders camera trajectory videos using [gsplat](https://github.com/nerfstudio-project/gsplat).
- **Input:** Single RGB image
- **Output:** 3D Gaussian splat representation → camera trajectory video or `.ply` export
- **Speed:** <1s prediction on GPU
- **Resolution:** 1536×1536 internal processing
## Usage in ComfyUI-FFMPEGA
1. Set `llm_model` to `none`
2. Set `no_llm_mode` to `sharp`
3. Connect an image to `image_a` or `image_path_a`
4. Run — the model will auto-download on first use
### Parameters
| Parameter | Default | Description |
|-----------|---------|-------------|
| `sharp_trajectory` | `rotate_forward` | Camera motion: rotate_forward, swipe, shake, rotate |
| `sharp_num_frames` | `60` | Number of video frames (10–300) |
| `sharp_max_disparity` | `0.08` | Lateral camera range |
| `sharp_max_zoom` | `0.15` | Zoom intensity |
| `sharp_save_ply` | `false` | Export .ply Gaussian splat file |
## License
> **⚠️ Research Use Only — Non-Commercial**
This model is licensed under the [Apple Machine Learning Research License](LICENSE). Model weights are restricted to **Research Purposes only** — non-commercial scientific research and academic development.
See [LICENSE](LICENSE) for the full terms.
## Citation
```bibtex
@article{stier2025sharp,
title={SHARP: Synthesizing 3D Gaussians from a Single Monocular Image with High Fidelity and Accurate Geometry},
author={Stier, Nikolai and Wadhwa, Neal and Szeliski, Richard},
year={2025},
url={https://github.com/apple/ml-sharp}
}
```
## Original Repository
- **Code:** [github.com/apple/ml-sharp](https://github.com/apple/ml-sharp) (BSD-like license)
- **Paper:** See repository for links
- **Copyright:** © 2025 Apple Inc. All Rights Reserved.
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