[!WARNING] This project is probably against TensorART TOS. Use at your own risks.
Installation
- Install using
pip(python3.11or higher required, recommended version):
pip install --upgrade TensorART
- Or from this repo to get the latest fixes/features:
pip install --upgrade git+https://github.com/XZeipher/TensorAI.git
- Or, for python 3.10 and higher.
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).
pip install --upgrade git+https://github.com/XZeipher/TensorAI.git@compat
Quickstart
[!NOTE] You can find the docs on this project here.
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
This repository is initiated and maintained by XZeipher
License
TensorART uses GPLv3. See the LICENSE file.
Contributing
Feel free to contribute to this project by submitting feature requests, issues, bugs, or whatever.
Metadata
Release files for TensorART 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| TensorART-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / TensorART-1.0.0-py3-none-any.whl
| Download URL | TensorART-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b0283d70126fd8afdc17950dcc88937460db337aafd2e46e16cd4b435a37b423
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BLAKE2b-256 checksum How to use checksums |
1a631ad2c4a7ab66b1cbc7f1bd03bfacf6c620ad9c854c6bf5683886ce12165c
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.13
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Security for TensorART 1.0.0
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