--- 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.