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Python module for using Stable Diffusion Prodia API

Home Page: https://prodiapy.notion.site/Quick-start-b91c7da3918342e6b2d5748e96e68a74

License: MIT License

Python 100.00%
ai imagine prodia python python3 sd stable-diffusion prodiapy

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prodiapy's Issues

Request for Compatibility with Lower Python Versions

Dear ProdiaPy Developers,

I am currently using your ProdiaPy library for a project, and I find it very useful. However, I am encountering a problem due to my Python environment. I am using Python version lower than 3.10 (3.8.17), and it seems that your library uses the match statement, which is a feature introduced in Python 3.10.

Unfortunately, upgrading my Python version is not an option for me at the moment due to various reasons. I was wondering if it would be possible for you to provide a version of ProdiaPy that is compatible with lower Python versions, or if there is a workaround that you could suggest.

I understand that this might require additional work, but it would be greatly appreciated. Thank you for your time and consideration.

Best Regards,
NowLoadY

The current library creates images in small sizes.

This code used to work but now it doesn't.
Small size images are downloaded with the current library code.
In the code I gave, 1024x1024 images could previously be downloaded.
How can I solve this problem?

from prodiapy import StableDiffusionXL

def resimcek(prodia_apikey, sorgu): while True: try: pipe = StableDiffusionXL( api_key=prodia_apikey ) job = pipe.generate(prompt=sorgu) result = pipe.wait_for(job) image = result['imageUrl'] image1 = image.startswith("https://") if bool(image) and bool(image1): return image else: print("Resim Çekilemedi. 5 Saniye Sonra Tekrar Denenecek") sleep(5) except Exception as e20: print("Prodia Hata Alındı. Tekrar Denenecek. Hata Kodu e20: "+str(e20)) yaz = open("log.txt", "a", encoding="utf-8") yaz.write("Prodia Hata Alındı. Tekrar Denenecek. Hata Kodu e20: "+str(e20)+"\n") yaz.close() sleep(5)

Async Class

Why is there an async class when its using request and not aiohttp?
There is no point, because request is still blocking.

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