Try dreambooth. 600 is far too little for training a stylegan from scratch (heavy augmentation could help but I doubt it)

how many are good for a stylegan?

I really can't give a solid answer, but 600 is definetly too few (a few thousand is already on the low end).

If I can give you enough iterations do you know how to do it for me? would somebody do it?

It maybe worth it to use Stable Diffusion. Since the data set is smaller, it may not be realistic to expect you to create thousands of more.

The code is freely available and on Youtube you find videos on „How to use Stylegan“.

But:

• As already mentioned you‘ll need more data. 5-10k are already at the low end. You need more like 50-100k I think.
• You need some serious hardware to train something like this. For Stylegan they used 8 high end GPUs for a week. I guess for Stylegan2/3 even more. You might be happy with less than NVIDIA, but it‘s no quick thing to do.
• And even then there‘s no guarantee that it will turn out perfectly. It might need some fine-tuning, it‘s not a simple algorithm.

Are you going to pay for it?

As others have said, you don't have enough examples to train a stylegan, but you can retrain Stable Diffusion on that few examples. That'll allow you to render anything you can imagine in your style too for example.