AI images at a professional level
Midjourney, DALL·E, Stable Diffusion, and Leonardo.ai — creating visual content in English. 10 free lessons: visual prompts, art styles, and professional AI visual workflow.
Image generation: most common questions
What is AI image generation?
AI image generation creates visual content from text descriptions using neural networks.
Open Lesson 1How to write a visual prompt?
A visual prompt has 5 elements: subject, style, lighting, color palette, and composition.
Open Lesson 2What is a negative prompt?
A negative prompt specifies what should not appear in the image: deformations, watermarks, low quality.
Open Lesson 3Midjourney vs DALL·E — which is better?
Midjourney excels at aesthetics and art, DALL·E follows descriptions closely, Stable Diffusion offers full control.
Open Lesson 94 lessons for a quick start
Lesson 1. What is image generation? Core models and how they work
Learn how AI image generation works, the difference between Midjourney, DALL·E, Stable Diffusion, and Leonardo.ai, and write your first visual prompt.
- How diffusion models work
- Four core models: pros and cons
- Prompt styles differ depending on the model
Lesson 2. Visual prompt writing technique: subject, style, lighting, and composition
The five key elements of a good visual prompt — subject, art style, lighting, color palette, and composition — and how to combine them correctly.
- Subject: the foundation of the image
- Art style: visual language
- Lighting: atmosphere creator
Lesson 3. Negative prompt: how to tell AI what shouldn't be in the image
Use negative prompts to eliminate deformations, low quality, extra elements, and other unwanted artifacts from generated images.
- How negative prompt works
- Syntax by model
- Standard basic block
Lesson 4. Aspect ratio, seed, and quality parameters
Controlling size, format, and reproducibility of images: --ar, --seed, --quality, and other key parameters.
- Aspect ratio: correct format for the platform
- Seed: reproducible results and iteration
- Quality and stylize: balance of details and aesthetics
10 lessons in 5 modules
Module 1. Basics
How image generation works, core models, and your first visual prompt.
Module 2. Parameters and Control
Negative prompt, aspect ratio, seed, and quality parameters for precise result control.
Module 3. Style and Aesthetics
Photorealism, portraits, art styles, and illustration techniques.
Module 4. Business and Marketing
Branding, social media, product photography, and e-commerce images using AI.
Module 5. Models and Workflow
Model comparison, tool selection, and professional AI visual workflow.
All lessons
Lesson 1. What is image generation? Core models and how they work
Learn how AI image generation works, the difference between Midjourney, DALL·E, Stable Diffusion, and Leonardo.ai, and write your first visual prompt.
Lesson 2. Visual prompt writing technique: subject, style, lighting, and composition
The five key elements of a good visual prompt — subject, art style, lighting, color palette, and composition — and how to combine them correctly.
Lesson 3. Negative prompt: how to tell AI what shouldn't be in the image
Use negative prompts to eliminate deformations, low quality, extra elements, and other unwanted artifacts from generated images.
Lesson 4. Aspect ratio, seed, and quality parameters
Controlling size, format, and reproducibility of images: --ar, --seed, --quality, and other key parameters.
Lesson 5. Photorealism and portrait prompts
How to get professionally realistic photos and portraits through camera names, lenses, lighting types, and photographic terms in the prompt.
Lesson 6. Art styles: anime, illustration, advertising, and digital art
Creating images in various art styles: anime, watercolor, oil painting, vector illustration, advertising graphics, and concept art.
Lesson 7. AI visuals for brand and social media
Creating professional AI visuals for branding, Instagram, banners, and advertising creatives: consistency, color system, and brand voice.
Lesson 8. Product photography and e-commerce visuals using AI
Creating professional product images for e-commerce, catalogs, and advertising: backgrounds, shadows, lighting, and visual context.
Lesson 9. Midjourney vs DALL·E vs Stable Diffusion: how to choose a model
Practical comparison of major AI image generators: quality, price, use cases, strengths, and weaknesses.
Lesson 10. Complete AI visual workflow: brief → prompt → iteration → export
Comprehensive workflow for a visual project: brief analysis, prompt writing, iteration strategy, quality control, and final image preparation.
Frequently Asked Questions
Which model is best for image generation?
It depends on the task. Midjourney is for aesthetics and art, DALL·E is for strict adherence to descriptions and text in images, Stable Diffusion is for flexibility and free usage, Leonardo.ai is for a balance of price and quality.
What is a visual prompt?
A visual prompt is a text description for an AI image generator: subject, style, lighting, color palette, and composition.
What is a negative prompt and why is it needed?
A negative prompt specifies what should not be in the image: deformations, watermarks, low quality, extra limbs. This significantly improves the quality of the result.
What is a seed?
A seed is a random number that 'locks' the generation. With the same prompt and seed, you always get a similar result. It is essential for iteration and consistency.
Who is this course for?
The course is suitable for designers, marketers, entrepreneurs, content creators, and anyone who wants to work professionally with AI image generators.
Is the course free?
Yes, all Prompter Academy courses, including the image generation course, are completely free and open to everyone.