Getting started
Latest docs at https://neuralartstudio.readthedocs.io/en/latest/
Install neuralartstudio
pip install neuralartstudio
- It is possible to create meaningful output with a cpu.
- A gpu can speed up the experiments.
Running as a streamlit app
Create a streamlit app (say in a file called main.py)
from neuralartstudio.streamlit import neural_style_transfer
neural_style_transfer(
contentpath="assets/dancing.jpg", stylepath="assets/picasso.jpg",
)
Note: You have to provide paths to your content and style image to start with. You can replace the content image later in the app.
That's it. Now run the app with streamlit
streamlit run main.py
Running from a python program
ToDo
Running in a Jupyter notebook
ToDo
Metadata
Release files for neuralartstudio 0.1.0
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| neuralartstudio-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for neuralartstudio-0.1.0-py3-none-any.whl |
Total release size: 15.1 kB
Release files / neuralartstudio-0.1.0.tar.gz
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