problemas con la luz en la generación de fotos

Hello @el.bicho.de.luz,

First, I saw your prompt had "no people, no sun".  The model does not understand the concept of a word being negated by the word in front of it. So using "not [X]", "no [X]", and "without [X]" does not work. It ignores the negation word and add to the image the thing you are trying to avoid.  You basically need to find "positive" words and phrases telling the model what you want to see rather than telling it what you do not want to see.  Such as "flat land" rather than "no mountains".  If I am not sure how to describe something I want to exclude in a positive way, I will ask Google Gemini or ChatGPT for ideas.  Just be aware that when they give prompts, they are usually too wordy and conversational, so you have to edit them, but they are good for ideas.

In this case, I used "desolate" for no people.  "No sun" was harder. I seemed to get the best results with "noontime".

This is the closest I got:

narrow, cobblestone street in San Telmo, Buenos Aires, with tall, old buildings, with balconies and lampposts, desolate, noontime 

My best,
    droopy