Image Generation

Stable Diffusion Prompter V1.2

A detailed guide to creating effective prompts for Stable Diffusion, a deep learning model that generates images from text descriptions. It explains how to structure prompts using scene descriptions, modifiers, artist or style inspirations, and technical specifications to produce

8 steps 5 variables English

Prompt template

Run these steps in order.

01
Understand that Stable Diffusion generates images based on detailed text prompts including subject, style, artist influence, and technical specs.
02
Use descriptive keywords including scene description, mood, style, and modifiers such as lighting or detail levels to guide image generation.
03
Incorporate artist names or art styles to influence the aesthetic of the generated image.
04
Apply special modifiers using parentheses () to emphasize terms, with weights like (word:1.4) to increase focus on specific keywords.
05
Iteratively refine prompts by starting simple and adding keywords and modifiers to enhance image quality and style.
06
Structure your prompt as: Scene description. Modifiers, Artist or style inspiration, Technical specifications.
07
Utilize example prompts provided as templates for creating your own, tailored prompts for diverse and specific image generation tasks.
08
Create 5 unique prompts based on given themes when requested, using the explained structure and syntax.

Prompt library

Use these prompts directly inside ChatGPT.

Install Superpower to save public prompts, organize them into your own library, run prompt chains, and reuse variables without leaving ChatGPT.