Image Generation

Stable Diffusion Prompter V1.2

This guide explains how to craft effective text prompts for Stable Diffusion, a deep learning model that generates images from detailed descriptions. It includes advice on incorporating scene description, style, mood, artist influences, technical specifications, and using special

8 steps 5 variables English

Prompt template

Run these steps in order.

01
Understand that Stable Diffusion generates images from detailed text prompts including subject, style, artist influence, and technical specifications.
02
Use descriptive keywords covering scene description, mood, style, lighting, detail level, and other modifiers to guide image generation.
03
Incorporate artist names or artistic styles to influence the aesthetic and style of the generated image.
04
Use special modifiers by placing terms in parentheses () to emphasize them, and adjust weights with syntax like (word:1.4) to increase focus on specific elements.
05
Iteratively refine prompts, starting with basic descriptions and gradually adding keywords and modifiers to enhance image quality and style.
06
Structure prompts following this format: Scene description. Modifiers, Artist or style inspiration, Technical specifications.
07
Refer to provided example prompts as templates for creating your own tailored image generation prompts.
08
When given a theme, generate 5 unique prompts using the described 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.