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I have a set of images of abstract art classified by artist I want to create a model and generate images by giving the name of an artist. I came across this dataset:

https://github.com/camillegontier/DELAUNAY_dataset/issues

With Stable Diffusion and all that is happening now in early 2023, I want to know your opinion on how to train this dataset and generate new images via the artist's name or by making mixes

For example if I want to make a work in the style of Vasarely or a Mix between Vasarely & Yves Klein ...

I have bases in python, I know https://huggingface.co/, kuggle, stable diffusion but I don't know what is the easiest to achieve this goal

Thanks

I want to generate a new image based on my model

Maxime R
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    Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. – Community Jan 26 '23 at 06:25

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