this post was submitted on 19 Jul 2023
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Stable Diffusion
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Agreed, although too much quantity seemed to water down results quite a bit. Too many and i have to up the weights of nearly everything to 1.2-1.4, otherwise aspects I want to show start to drop off.
Anecdotally I found the best length to be about 75 positive tokens, though I'd recommend to never go over the 150 token limit if you can help it.
I have a canned negative prompt list that I use that is super long though, easily 200 tokens. Just a hodge podge of some of the things you listed: bad_anatomy and missing_limbs and missing_hands for example are crucial to have. Adding ugly with a weight over 0.8 has strange results, too I've found. Hope that helps!
I meant the quantity of generated images, not the number of tokens. I rarely go over 50 tokens now. As you said, too many tokens and things start to interact in really odd ways. That’s why I’m not a fan of massive lists of negative tokens either; they are much more efficient as a textual inversion like badhandv4 or Easynegative.
However, I only use txt2img to get the rough composition of an image; most of my work is done in inpainting afterwards. If you’re looking to have good images just from txt2img then sometimes lots of tokens are necessary.
Just like traditional art though, this is all based on individual style. It’s important to use what works best for you.