| --- |
| 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. |
| |
