Introduction to AI Image Generation
AI image generators have democratized visual creativity. Anyone can now create professional-looking artwork, designs, and illustrations.
How AI Image Generation Works
These tools use diffusion models that learn from millions of images to generate new visuals from text descriptions.
Choosing Your Tool
Midjourney
- •Best for: Artistic, stylized images
- •Learning curve: Medium (Discord-based)
- •Style: Unique artistic aesthetic
DALL-E 3
- •Best for: Accurate prompt following
- •Learning curve: Easy (works in ChatGPT)
- •Style: More literal, versatile
Prompt Engineering Tips
Be Specific
Instead of "a cat", try "a fluffy orange tabby cat sitting on a windowsill, golden hour lighting, photorealistic"
Use Style Modifiers
- •"in the style of [artist]"
- •"cinematic lighting"
- •"4K, highly detailed"
- •"watercolor painting"
Negative Prompts
Specify what you don't want: "no text, no watermark, no blur"
Legal Considerations
- •AI-generated images may not be copyrightable
- •Check each tool's terms for commercial use
- •Be transparent about AI generation when required
How to apply this guide
Use this guide as a decision filter before comparing individual AI tools. Start with the workflow you want to improve, decide what a successful output looks like, then test the recommended tools on one real task instead of a demo prompt.
Define the task
Write down the repeated task, file, prompt, meeting, or content workflow you want to improve.
Set the criteria
Choose the standard that matters most: accuracy, speed, creativity, cost, integrations, privacy, or export quality.
Test the output
Compare tools by cleanup effort. The best tool gives useful output with the least manual repair.
Tools to compare next
The tools below are connected to this guide. Open their reviews to check pricing, limitations, alternatives, and whether they fit the workflow described above.