Stable Diffusion is a revolutionary AI system that can generate highly detailed images from text prompts. As this technology becomes more accessible, learning how to craft effective prompts is key to getting great results. In this article, I’ll provide an overview of Stable Diffusion and prompt engineering, share prompt examples and tips, and highlight useful resources for further learning.
How Stable Diffusion Works
Stable Diffusion is a deep learning model that converts text to images through a technique called diffusion models. After training on vast datasets of text-image pairs, it can produce new images that match text descriptions.
The Text-to-Image Process
Here is the basic process:
- User inputs a text prompt describing a desired image
- Stable Diffusion analyzes the text to extract key descriptive features
- The model generates an image that matches the text features
- User can refine the prompt and generate further images
So the quality of outputs depends heavily on the text prompts. Crafting prompts that are detailed yet unambiguous is an art form in itself.
Prompt Engineering Basics
Here are some key tips for writing effective Stable Diffusion prompts:
Specify Image Contents
- Identify the main subject matter, attributes, qualities, and composition
- Use descriptive adjectives and style/genre keywords
Provide Context
- Add background scene setting or conceptual framing where helpful
Use Structure and Formatting
- Separate prompt elements with commas or line breaks
- Place critical keywords first
- Bold or CAPITALIZE absolutely necessary features
Give Guidance to the AI
- Suggest a specific art style or medium
- Reference a particular artist for stylistic inspiration
- Name the output size and level of realism
Example Prompts
Below I share some prompt examples for common use cases to spark ideas:
Detailed Character Portrait
A beautiful digital painting portrait of a female elf wizard with long golden hair, pointy ears, and glowing green eyes, wearing a cloak over leather armor, casting a magic spell with sparkling energy flowing from her hands, intricate fantasy background, by Alphonse Mucha
Landscape Photo Manipulation
A moody landscape photo of a twisted oak tree silhouetted against a vibrant sunset sky with brilliant hues of orange, pink and purple, cinematic lighting
Still Life Composition
A color photograph of a charming still life composition featuring a collection of smooth river rocks, feathers, acorns and flowers artistically arranged on a wooden table, soft natural lighting, shallow depth of field
Advanced Prompt Engineering
With experimentation, you can achieve impressive results by fine-tuning prompts. Here are some advanced techniques:
Use Negative Prompts
Specify anything to leave OUT of the image so the AI doesn’t get confused, like:
beautiful woman, photorealistic, intricate details, by Greg Rutkowski, NO extra faces or limbs
Adjust Image Parameters
Modify the output dimensions, aspect ratio, resolution, etc.:
cinematic vertical portrait, 3000 x 4000 pixels
Chain Prompts Together
Generate variations on a theme by chaining prompts:
First prompt..., Second prompt adds..., Third prompt shows...
Resources for Learning More
Here are some great sites to explore for prompt ideas and AI art inspiration:
- Lexica – Searchable prompt database
- PromptHero – Top community prompts
- NightCafe Creator – Explore AI art gallery
The key is to start simple, get familiar with what works, and incrementally add more descriptive details into your prompts. With practice, you’ll be able to produce jaw-dropping AI artworks!