dav.one

Mastering realistic photography using Stable Diffusion XL

Created on June 22, 2025 by Dawid Wasowski

Introduction

I began using Stable Diffusion in 2022, right after the start of the generative AI art boom. Rather than learning the basics, I simply followed the crowd, blindly copying other people’s prompts and settings. Trusting that others had the right answers led me to generate thousands of images mindlessly - a huge waste of time and money. In this article, I will explain the essential concepts - the very things I wish I had known when I first started.

Common misconception: Using “Realism” keyword for Realistic images

Many people believe that adding the word “realism” or “photorealistic” to their prompts will produce more realistic-looking images. However, this is actually a significant misunderstanding that can lead to unexpected results.

The terms “realism” and “photorealistic” are primarily associated with art styles rather than actual photography. When you use these words in your prompts, you’re essentially asking the AI to create an artistic interpretation that mimics reality, not to create something that looks like an actual photograph. Avoid these keywords in your prompts if you want to generate realistic photographs.

Positive Prompt

To generate images that look like actual photographs in Stable Diffusion, you should:

Negative Prompt

The Negative Prompt tells the AI what it should avoid in the generated image. In case of generating realistic photography, you should specify what you don’t want to see.

Complete Prompt Examples

Positive:

photo of a young woman with curly brown hair, standing near a window, natural lighting, golden hour, soft shadows, shot with 85mm lens, Fujifilm camera, shallow depth of field, bokeh background, professional photography, high quality

Negative:

illustration, cartoon, painting, 3D render, artwork, low quality, pixelated, grainy, blurry, distorted, text, watermark, signature, unrealistic