pollinations VS sysidentpy

It literally says pollinations.ai in the bottom right

It's not making the images, pollinations.ai is. I have tested it, and if you go to https://image.pollinations.ai/prompt/%7Bdescription%7D, and replace the word 'description' with anything else, it generates a different image.

I tweaked highly that one markdown prompt and added specific instructions for the fictional content. I also implemented the pollinations.ai prompt inside this one so that it also generates the images that are on the site.

I would not have known about pollinations.ai had I not read the OP!

I found a couple around the same time. I don't remember which was his but I think the best was https://pollinations.ai/

The link is to the https://pollinations.ai/ API which will generate an image and return it in response to web requests.

I used Midjourney AI as it's the easiest to set up and the most accurate. However if you want something that doesn't censor the prompts, you can use https://pollinations.ai/

Link para o site da documentação: SysIdentPy - SysIdentPy

I'm the only maintainer, but I keep including new features (some exclusives, like the algorithm I've developed in my thesis to create NARMAX models), improving the code and documentation, and fixing bugs.

benchmark codes: Welcome to SysIdentPy’s documentation! — NARMAX models

github: wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models (github.com)

I built a package where you can build polynomial NARMAX models using the most used method for model selection of this class of models in the beckend. In addition, you can built NARX Neural Networks for forecasting problems (this is built on top of Pytorch) and you can use any model that have a fit/predict method (Catboost, any estimator from sklearn) in a NARX configuration to perform infinity-steps-ahead prediction. Maybe its worth a try. Here is the link of the package: GitHub - wilsonrljr/sysidentpy: A Python Package For System Identification Using NARMAX Models