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AI image generation — a practical beginner's guide

Everything you need to start generating usable AI images — from choosing a tool to writing prompts that produce results you can actually use.

By Chen LiPublished April 202610 min read

Choosing the right tool for your use case

The tool choice depends on three things: your primary use case, your tolerance for workflow friction, and whether commercial IP clarity is important to you.

🎨
Midjourney — for quality-first creative work
The best aesthetic output for artistic and brand-quality images. Requires Discord workflow. From $10/month.
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🖼️
DALL-E 3 via ChatGPT — for workflow integration
Included with ChatGPT Plus. Best for occasional generation as part of a broader workflow. Better text rendering than Midjourney.
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Adobe Firefly — for commercial IP safety
Trained on licensed content only. Best for agencies and brands needing clean commercial IP. Includes Photoshop Generative Fill.
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For beginners: start with DALL-E 3 via ChatGPT

If you already have ChatGPT Plus, DALL-E 3 is included and requires no additional subscription or new interface to learn. Start there. Move to Midjourney when you've identified that image quality is your primary bottleneck.

How to write prompts that work

Most beginners write prompts that are too short and too vague. "A photo of a person in an office" produces a generic result. A structured prompt produces a useful one.

1
Subject + context + style + technical
Structure your prompt in four parts: what you want to see, where or how it's set, what aesthetic or style you want, and technical parameters (aspect ratio, lighting, camera style). Example: 'A female entrepreneur in her 30s reviewing documents at a standing desk in a modern coworking space, photorealistic, natural window light, shot on Sony A7III, 35mm lens'
2
Be specific about mood and tone
Add words describing the feeling you want. 'Confident and approachable' produces different results than 'serious and authoritative.' Style references work well: 'in the style of editorial photography from Wired magazine'
3
Iterate, don't start over
If the first result is 80% right, don't start from scratch. Modify the prompt to fix the specific problem. 'Same composition but warmer lighting and the person is smiling' produces better results than rewriting the whole prompt.
4
Use negative prompts where available
Midjourney and Stable Diffusion support negative prompts (--no [thing to exclude]). 'Photo of a busy open office, --no people, --no computers' removes specific elements systematically.

Commercial use: what you need to know

The commercial rights situation varies by tool and is evolving. Current status as of April 2026:

  • DALL-E 3: OpenAI grants commercial use rights to output generated through their API and ChatGPT. Terms apply — review them for your specific use case.
  • Midjourney: Paid plan subscribers have commercial use rights. The company is involved in copyright litigation about training data — consult a lawyer for high-stakes commercial use.
  • Adobe Firefly: Commercial use rights included. Trained on licensed content. The safest commercial IP position of any major tool. Adobe provides IP indemnification on enterprise plans.

Integrating AI images into your workflow

The most efficient workflow for content producers: generate in batches (10-20 images per session), not one at a time as needed. Batch generation produces better prompt consistency, allows style calibration, and avoids the interruption of leaving your workflow mid-project.

For brand work: create a prompt template that includes your consistent brand parameters (specific lighting style, colour palette description, talent demographics, setting characteristics). A well-calibrated template produces consistent output across a campaign without regenerating your style from scratch each time.

Common mistakes and how to avoid them

  • Generating isolated subjects on white backgrounds: These look AI-generated immediately. Specify the context and environment in every prompt.
  • Not asking for specific aspect ratios: Default aspect ratios rarely match your use case. Always specify — 16:9 for YouTube, 4:5 for Instagram, 1:1 for profile images.
  • Giving up after one or two attempts: Professional AI image workflows involve 5-10 generation attempts per final image. Budget iteration time into your process.
  • Using AI images without review: AI image generators produce errors — extra fingers, distorted text, implausible physics. Review every image before use.

Frequently asked questions

Which AI image tool is best for beginners?
DALL-E 3 via ChatGPT Plus for beginners — it's included with a subscription you may already have, works immediately, and doesn't require learning a new interface.
Can I use AI images commercially?
It depends on the tool and your specific use case. Adobe Firefly has the clearest commercial IP position. For other tools, review current terms and consult a lawyer for high-stakes commercial use.
How many attempts does it take to get a usable image?
Professional AI image workflows average 5-10 generation attempts per final usable image. Budget this into your time estimates.