<p align="center">
<img width="300" src="https://image.tensorartassets.com/cdn-cgi/image/anim=true,f=avif,q=85/frontend/1711339876825.svg">
</p>
<div align="center">
<a href="https://badge.fury.io/py/tensorart"><img src="https://d25lcipzij17d.cloudfront.net/badge.svg?id=py&r=r&ts=1683906897&type=6e&v=0.1&x2=0" alt="PyPI version" height="18"></a>
</div>
<div>
TensorART is a hybrid API for tensor.art. It is able to communicate with Tensor
using web-scraping.. It is
able to access most used or useful ai features, such as text2img, img2img , upscale, and a lot more.
</div>
> [!WARNING]
> This project is probably against TensorART TOS. Use at your own risks.
## Installation
- Install using `pip` (python `3.11` or higher required, recommended version):
```shell
pip install --upgrade TensorART
```
- Or from this repo to get the latest fixes/features:
```shell
pip install --upgrade git+https://github.com/XZeipher/TensorAI.git
```
- Or, for python 3.10 and higher.
```shell
pip install --upgrade git+https://github.com/XZeipher/TensorAI.git@py-3.10
```
- Or, for even lower python versions, there is automatic branch with several features removed (might be unstable).
```shell
pip install --upgrade git+https://github.com/XZeipher/TensorAI.git@compat
```
## Quickstart
> [!NOTE]
> You can find the docs on this project [here](https://tensorapi.onrender.com/docs).
```python
from TensorART import TensorClient
import aiohttp,aiofiles
# Initialise a client
client = TensorClient()
# Create ai image
image_url = await client.create(model_id=1,prompt="blonde girl sitting in garden")
# save image binary data
async with aiohttp.ClientSession as session:
async with session.get(image_url) as response:
async with aiofiles.open('image.png','wb') as f:
await f.write(await response.content)
# image will be saved as image.png
```
# Note
<strong>This repository is initiated and maintained by [XZeipher](https://github.com/XZeipher)
</strong>
## License
TensorART uses GPLv3. See the `LICENSE` file.
## Contributing
Feel free to contribute to this project by submitting
feature requests, issues, bugs, or whatever.
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"description": "<p align=\"center\">\n <img width=\"300\" src=\"https://image.tensorartassets.com/cdn-cgi/image/anim=true,f=avif,q=85/frontend/1711339876825.svg\">\n</p>\n\n<div align=\"center\">\n <a href=\"https://badge.fury.io/py/tensorart\"><img src=\"https://d25lcipzij17d.cloudfront.net/badge.svg?id=py&r=r&ts=1683906897&type=6e&v=0.1&x2=0\" alt=\"PyPI version\" height=\"18\"></a>\n</div>\n\n\n<div>\nTensorART is a hybrid API for tensor.art. It is able to communicate with Tensor\nusing web-scraping.. It is\nable to access most used or useful ai features, such as text2img, img2img , upscale, and a lot more.\n</div>\n\n> [!WARNING]\n> This project is probably against TensorART TOS. Use at your own risks.\n\n## Installation\n\n- Install using `pip` (python `3.11` or higher required, recommended version): \n```shell\npip install --upgrade TensorART\n```\n\n- Or from this repo to get the latest fixes/features:\n```shell\npip install --upgrade git+https://github.com/XZeipher/TensorAI.git\n```\n\n- Or, for python 3.10 and higher.\n```shell\npip install --upgrade git+https://github.com/XZeipher/TensorAI.git@py-3.10\n```\n\n- Or, for even lower python versions, there is automatic branch with several features removed (might be unstable).\n```shell\npip install --upgrade git+https://github.com/XZeipher/TensorAI.git@compat\n```\n\n## Quickstart\n\n> [!NOTE]\n> You can find the docs on this project [here](https://tensorapi.onrender.com/docs).\n\n```python\nfrom TensorART import TensorClient\nimport aiohttp,aiofiles\n\n# Initialise a client\nclient = TensorClient()\n\n# Create ai image\nimage_url = await client.create(model_id=1,prompt=\"blonde girl sitting in garden\")\n\n# save image binary data\nasync with aiohttp.ClientSession as session:\n async with session.get(image_url) as response:\n async with aiofiles.open('image.png','wb') as f:\n await f.write(await response.content)\n\n# image will be saved as image.png\n\n```\n\n# Note\n<strong>This repository is initiated and maintained by [XZeipher](https://github.com/XZeipher)\n</strong>\n\n\n## License\n\nTensorART uses GPLv3. See the `LICENSE` file.\n\n## Contributing\n\nFeel free to contribute to this project by submitting\nfeature requests, issues, bugs, or whatever.\n",
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