neural-enhance VS pillow

Upscaling: Gigapixel, https://github.com/alexjc/neural-enhance.

What's better you can do it yourself.

https://topazlabs.com/tag/sharpen-ai/ https://deepai.org/machine-learning-model/torch-srgan https://github.com/alexjc/neural-enhance

"down" could be a good name for a python image library plugin/extension.

https://github.com/python-pillow/Pillow

The final image is a created using the Pillow Python imaging library, and is comprised of

I've been searching for Native Python Support of JXL and the latest posts (Pillow 1, Pillow 2) and packages are from about 2 years ago.

I may have sent you on a bit of a wild goose chase here, sorry mate.. It appears like PIL may not use libpng at all, or that it is only used on Windows for some reason. There is PngImagePlugin written in pure python and uses zlib: https://github.com/python-pillow/Pillow/blob/main/src/PIL/PngImagePlugin.py

Pillow - https://github.com/python-pillow/Pillow

but the Python Pillow library cannot

I was able to build a simple base image using Canva. Then, I overlayed the text using Pillow. Working with text on images is somwhat complicated to get perfect so I opted to create 4 categories and a ratio for each one.

Lets break down the problem space (this should be your first step with any program anyway). You'd need something that can sample pixel data from your display. For that I'd use something like Pillow. Then, for generating your simulated input events (mouse clicks/movement, keypresses, etc...) something like Pynput should suffice.

No because I dont need. I use this packages for my frontend. Pillow==6.2.1  # https://github.com/python-pillow/Pillow django-versatileimagefield==1.11 # https://pypi.org/project/django-versatileimagefield/ django-imagekit==4.0.2 # https://pypi.org/project/django-imagekit/