Yes, you can train an image model like Stable Diffusion on public domain art images. In fact, many people have done this successfully. Here are some tips for training a model on public domain art images:

* Choose a large and diverse dataset of images. The more images you have, the better your model will be able to learn the different styles and techniques of art.
* Make sure the images are high quality and well-labeled. The quality of the images will affect the quality of your model, and the labels will help the model learn the different categories of art.
* Use a powerful computer. Training a model on a large dataset of images can be computationally expensive. You will need a computer with a lot of RAM and a powerful GPU.
* Be patient. Training a model can take a long time, especially if you are using a large dataset. Be patient and let the model train until it converges.

Here are some of the public domain art image datasets that you can use:

* WikiArt: This dataset contains over 700,000 images of public domain art from over 2,000 museums and galleries.
* Google Arts & Culture: This dataset contains over 15 million images of public domain art from over 1,000 museums and galleries.
* Open Images: This dataset contains over 10 million images of public domain objects, including art.
* FlickR: This dataset contains over 1 billion images, some of which are public domain.

I hope this helps!
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence