How to Use an AI Image Generator: Practical Guides, Prompt Engineering, and Tips for Perfect Results
Introduction
Artificial intelligence has revolutionized the world of visual creation. AI image generators like MidJourney, Stable Diffusion, or DALL-E allow you to create impressive graphic works based on text input within seconds. However, to fully leverage the potential of these tools, it is crucial to understand the basic principles of their operation and master the techniques for effective communication with the AI system.
At the heart of successful AI graphic creation is so-called prompt engineering – the art of formulating text instructions in a way that ensures the resulting image matches your vision. It's not just about describing what you want to see, but a complex set of instructions that guide the model to create exactly the visual representation you need.
In this guide, we will introduce you to the key concepts and techniques that will help you achieve excellent results with AI image generators. From the basic principles of structuring prompts to advanced strategies for solving common problems – we have prepared a comprehensive map to guide you through this exciting field.
Key Areas of Prompt Engineering for AI Image Generators
Structure of an Effective Prompt
The foundation of successful work with AI image generators lies in the correct prompt structure. An effective prompt contains several key components: the main subject, environment, lighting, perspective, artistic style, and technical quality specifications.
When creating a prompt, start with a clear description of what you want to see, and gradually add layers of detail. Don't forget to include information about composition and the desired aesthetic.
[Main subject/scene] in [environment], [lighting], [perspective], [artistic style], [technical specifications]Read the complete guide to prompt structure →
Modifiers and Keywords
Modifiers are special keywords that dramatically influence the quality and style of generated images. Correctly chosen modifiers can be the difference between an average and a stunning result.
There are three main categories of modifiers:
- Qualitative (highly detailed, 8K, sharp focus)
- Stylistic (oil painting, photorealism, concept art)
- Compositional (dramatic perspective, golden ratio)
Experimenting with different modifiers and their placement in the prompt will help you find the optimal combinations for your projects.
Discover the most effective modifiers for AI images →
Negative Prompts
Negative prompts represent a powerful but often overlooked technique that allows you to specify what you do *not* want in the generated image. This method is key to eliminating common problems with AI generators.
Using negative prompts, you can remove unwanted artifacts, stylistic elements, or anatomical inaccuracies. Each AI generator has its own way of implementing negative prompts, whether through a special field or specific syntax.
Learn how to effectively use negative prompts →
Optimization for Different AI Models
Each AI image generator interprets prompts in a slightly different way. Understanding these differences allows you to optimize your input for a specific platform and achieve the best possible results.
MidJourney, DALL-E, and Stable Diffusion each have their specifics, strengths, and unique syntax. What works on one platform may not necessarily yield the same results on another.
Compare optimal prompts for different AI models →
Specific Content Types
Different categories of visual content require specialized approaches to prompt formulation. You will proceed differently when creating portraits than when generating landscapes or product visualizations.
For each type of content, there are proven templates and techniques that increase the likelihood of achieving the desired results. Understanding these specifics will save you time and frustration.
Solving Common Problems in AI Image Generation
Improving Character Anatomy
The anatomy of human figures represents one of the biggest challenges for current AI image generators. Hands, fingers, and facial proportions, in particular, often suffer from inaccuracies.
There are specific techniques and phrases you can include in your prompts to significantly improve anatomical accuracy. Combining the right positive and negative prompts can dramatically increase the quality of human figures in your AI-generated images.
Discover techniques for anatomically accurate AI characters →
Consistent Visual Style
Maintaining a consistent visual style across a series of generated images is essential for professional projects. Whether you are creating a visual campaign for social media or illustrations for an article, a uniform look is key to a professional impression.
Learn to create and document "style prompts," use the same seeds, and other techniques that ensure visual consistency in your projects.
Learn how to maintain a consistent visual identity →
Solving Problems with Text
Generating readable and meaningful text in AI images presents a significant challenge. Current models struggle to create coherent script and often produce nonsensical characters or words.
There are practical strategies to work around this problem and create professional visuals with text, ranging from two-step approaches to specialized inpainting techniques.
Advanced Techniques and Workflow
Iterative Creation Method
Mastery in working with AI generators lies not in creating the perfect prompt in one go, but in a systematic iterative process. Learn an effective workflow that gradually takes you from a basic concept to a precise result.
This approach involves several phases: from the basic concept, through adding artistic direction and technical specifications, to fine-tuning using negative prompts and optimizing parameters.
Discover the professional iterative process for creating AI visuals →
Combination with Post-processing
For truly professional results, it is crucial to combine AI generation with subsequent processing in graphic editors. This integrated workflow significantly expands the capabilities of AI generators and helps overcome their inherent limitations.
From basic color and composition adjustments to advanced techniques like composite workflows or detail enhancement – learn how to connect AI generation with traditional graphic tools.
Explore workflows combining AI generation and post-processing →
