fusion-threed


Namefusion-threed JSON
Version 0.0.1 PyPI version JSON
download
home_pagehttps://github.com/kyegomez/Fusion3D
Summary3D Diffusion Models in PyTorch
upload_time2024-09-14 02:40:45
maintainerNone
docs_urlNone
authorKye Gomez
requires_python<4.0,>=3.10
licenseMIT
keywords artificial intelligence deep learning optimizers prompt engineering 3d diffusion models pytorch
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Fusion3D

[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)
g
An implementation of [3D Diffusion Models](https://arxiv.org/abs/2303.01469) in PyTorch.

## Installation

```bash
pip install fusion-threed
```
## Usage

```python
from fusion_threed import Diffusion3DGenerator

model = Diffusion3DGenerator(image_size=64, voxel_size=32, num_timesteps=1000)
```
            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/kyegomez/Fusion3D",
    "name": "fusion-threed",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.10",
    "maintainer_email": null,
    "keywords": "artificial intelligence, deep learning, optimizers, Prompt Engineering, 3D Diffusion Models, PyTorch",
    "author": "Kye Gomez",
    "author_email": "kye@apac.ai",
    "download_url": "https://files.pythonhosted.org/packages/47/dc/0ed1df75721af4cf16ae722e865bbfb0314b950f6c8c0eaf367916e25ea0/fusion_threed-0.0.1.tar.gz",
    "platform": null,
    "description": "# Fusion3D\n\n[![Join our Discord](https://img.shields.io/badge/Discord-Join%20our%20server-5865F2?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/agora-999382051935506503) [![Subscribe on YouTube](https://img.shields.io/badge/YouTube-Subscribe-red?style=for-the-badge&logo=youtube&logoColor=white)](https://www.youtube.com/@kyegomez3242) [![Connect on LinkedIn](https://img.shields.io/badge/LinkedIn-Connect-blue?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/kye-g-38759a207/) [![Follow on X.com](https://img.shields.io/badge/X.com-Follow-1DA1F2?style=for-the-badge&logo=x&logoColor=white)](https://x.com/kyegomezb)\ng\nAn implementation of [3D Diffusion Models](https://arxiv.org/abs/2303.01469) in PyTorch.\n\n## Installation\n\n```bash\npip install fusion-threed\n```\n## Usage\n\n```python\nfrom fusion_threed import Diffusion3DGenerator\n\nmodel = Diffusion3DGenerator(image_size=64, voxel_size=32, num_timesteps=1000)\n```",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "3D Diffusion Models in PyTorch",
    "version": "0.0.1",
    "project_urls": {
        "Documentation": "https://github.com/kyegomez/Fusion3D",
        "Homepage": "https://github.com/kyegomez/Fusion3D",
        "Repository": "https://github.com/kyegomez/Fusion3D"
    },
    "split_keywords": [
        "artificial intelligence",
        " deep learning",
        " optimizers",
        " prompt engineering",
        " 3d diffusion models",
        " pytorch"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2f3bce9ef015861c8e040195addb10f35549f4fcefc1c07ec3fb4e9ad7961a13",
                "md5": "ff84bfcbaa4153bc52d710ed389cd010",
                "sha256": "79552a5bbf5da61b194edce7697debaa360e3e2bb6216675124072901d801408"
            },
            "downloads": -1,
            "filename": "fusion_threed-0.0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "ff84bfcbaa4153bc52d710ed389cd010",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.10",
            "size": 4678,
            "upload_time": "2024-09-14T02:40:43",
            "upload_time_iso_8601": "2024-09-14T02:40:43.759172Z",
            "url": "https://files.pythonhosted.org/packages/2f/3b/ce9ef015861c8e040195addb10f35549f4fcefc1c07ec3fb4e9ad7961a13/fusion_threed-0.0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "47dc0ed1df75721af4cf16ae722e865bbfb0314b950f6c8c0eaf367916e25ea0",
                "md5": "5ee6cab7fad0f79ade8e8a95714356a6",
                "sha256": "0f8915bceb1ec06fa38ee82ab86dde8bb086d4524701de7fce0977e4f18ce6c1"
            },
            "downloads": -1,
            "filename": "fusion_threed-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "5ee6cab7fad0f79ade8e8a95714356a6",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.10",
            "size": 4345,
            "upload_time": "2024-09-14T02:40:45",
            "upload_time_iso_8601": "2024-09-14T02:40:45.563873Z",
            "url": "https://files.pythonhosted.org/packages/47/dc/0ed1df75721af4cf16ae722e865bbfb0314b950f6c8c0eaf367916e25ea0/fusion_threed-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-14 02:40:45",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "kyegomez",
    "github_project": "Fusion3D",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [],
    "lcname": "fusion-threed"
}
        
Elapsed time: 0.34779s