Z‑Image Turbo is a bit different from “classic” Stable Diffusion, so a lot of old prompting habits don’t quite apply. I’ll walk through how to prompt it deeply and safely, with special focus on controlling content (nudity, stereotypes, unwanted artifacts) even though the model does not support traditional negative prompts at all. ([Hugging Face][1])
Key facts that matter for prompting:
| <snippet> | |
| <content><![CDATA[ | |
| // ${1:$SELECTION} | |
| // ${1/./=/g}========== | |
| ]]></content> | |
| <tabTrigger>comment-underline</tabTrigger> | |
| </snippet> |
| /* CSS Mini Reset */ | |
| html, body, div, form, fieldset, legend, label | |
| { | |
| margin: 0; | |
| padding: 0; | |
| } | |
| table | |
| { |
| <!doctype html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <link rel="stylesheet" href="css/main.css" /> | |
| <script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script> | |
| </head> | |
| <body> | |
| </body> |