API BASED IMAGE GENERATOR PYPI.
Project description
[!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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file TensorART-1.0.0-py3-none-any.whl.
File metadata
- Download URL: TensorART-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b0283d70126fd8afdc17950dcc88937460db337aafd2e46e16cd4b435a37b423
|
|
| MD5 |
b407d245f7f00fc97d5701ed29ea8052
|
|
| BLAKE2b-256 |
1a631ad2c4a7ab66b1cbc7f1bd03bfacf6c620ad9c854c6bf5683886ce12165c
|