How AI Image Generation Works
AI image generators like Midjourney, DALL-E, and Stable Diffusion have revolutionized visual content creation. But how do they actually turn your text into images?
The Basic Process
When you type a prompt, here's what happens:
- Text Encoding: Your words are converted into numerical representations (embeddings)
- Noise Generation: The AI starts with random noise
- Guided Denoising: The AI gradually removes noise while being guided by your text
- Image Refinement: Multiple passes sharpen details until the final image emerges
Think of it like a sculptor starting with a rough block and chipping away to reveal the image your words described.
The Big Three Platforms
| Platform | Strengths | Best For |
|---|---|---|
| Midjourney | Artistic, aesthetic quality | Art, illustrations, stylized images |
| DALL-E | Follows instructions well | Realistic scenes, specific compositions |
| Stable Diffusion | Free, customizable | Technical users, specific styles |
Why Prompts Matter
AI image generators are only as good as your prompts. The same AI can produce:
- A masterpiece (with a great prompt)
- Generic clipart (with a vague prompt)
- Complete nonsense (with a confusing prompt)
Try comparing these two prompts:
vs.
The difference in results would be dramatic. The second prompt gives the AI:
- Subject details: fluffy, orange tabby
- Action/pose: lounging on a cushion
- Lighting: soft afternoon sunlight
- Style: oil painting
- Color guidance: warm palette
Key Takeaway
AI image generators don't read minds—they interpret text. The more precisely you describe what you want, the closer the result will match your vision. In the next lesson, you'll learn exactly what elements make up an effective image prompt.