That’s what negative prompt is for. Stable diffusion also isn’t like llms. LLMs certainly understand negation.
> That’s what negative prompt is for.
This is what I mean by it "not understanding negations" You need whole separate prompt, just to say you want e.g. "ramen without egg" instead of just saying it in a single prompt that it understands.
If you want to generate ramen without egg, you'll want _negative weighted_ prompts. "eating ramen, (egg:-1)"
Likewise, zero-weight tokens don't act like the token is absent from the prompt.
It's fully possible that the image model draws eggs in ramen but it doesn't know that the egg is an egg and therefore any attempts to interact with it via the egg token are futile. Generally speaking though thing:-1 should reduce the presence of thing for well understood concepts. It's a better tool on second pass alterations of an image.