If you have been generating content online, then you have probably heard of the hype around artificial intelligence image generators. For the past year, I have utilised such tools and can tell you they are revolutionising the way that creators are creating. AI-generated images have progressed from novelty items to necessities for bloggers, designers, and content creators needing fast visual content.

Both tools are extremely effective at generating images, but they work in different ways and have entirely different purposes. Let me show you what I’ve observed with both image generation tools.

What Exactly are AI Image Generators?

AI-generated images are visual images created entirely by computers using text descriptions provided to the AI image-generating tools. They are completely computed by a neural network trained on millions of images. AI design tools have changed the way we approach creating visual images.

Rather than hiring a designer, spending hours on Photoshop, or paying for stock images, you can now produce unique visual images in seconds. I utilise these tools for:

• Illustrated blog images (custom headers, infographics, featured images)

• Social media graphics (posts, stories, promotional materials)

• Marketing graphics (product mockups, hero images)

• Concept graphics (visual ideas before completing the total design)

The quality of AI-created images has increased significantly. Last year, AI-generated images looked computer-created; now, most people would have difficulty telling if they were created by AI unless you told them.

Why Designers Are Using AI Image Tools

At first, I was hesitant about using AI image tools because I thought AI would replace designers; it hasn’t—it has enabled us to produce much more in a shorter amount of time.

The speed improvement is drastic. Finding stock images, customising them, and editing used to take one hour. Today, I can generate five to ten concepts in the time it took to find a single stock image.

Cost savings are significant. Stock photo subscriptions cost $100-$300 per month. Designers typically charge $500-$5,000 per project. Premium AI tools cost a fraction of that. Customisation with AI allows you to generate images specific to your brand and messaging, not generic stock photos everyone uses. You can explore five different visual possibilities in ten minutes instead of days, going back and forth with a designer.

For small businesses and entrepreneurs starting out without much budget, AI image creators help create high-impact images at a fraction of traditional costs.

Requirements for Using AI Image Creators

Using an AI image creator requires:

1. An account with either Midjourney or DALL-E (or both). Midjourney starts at $10/month; DALL-E is pay-per-use with initial credits.

2. A defined concept of what you want to create. The better you define characteristics—style, lighting, composition, mood—the better the result.

3. Clear and specific prompts. You don’t need to be a professional copywriter. For example: “A white porcelain coffee cup sitting on a wooden table in soft warm morning sunlight, minimalist style” produces better results than “A coffee cup.”

4. Optional editing software like Canva, Photoshop, or Figma to refine images. You don’t need all three—start with what feels comfortable.

That’s all you need—no expensive equipment, no formal design training, only a willingness to experiment.

Related: How to Use ChatGPT for Content Writing: Complete Guide

Midjourney vs DALL-E: Complete Comparison

Both tools create amazing images, but with different approaches.

Image Quality

Personal preference matters here. Midjourney (https://www.midjourney.com/) produces more stylised and artistic images with rich colour saturation and striking visual impact. The AI appears biased toward cinematic, detail-rich images. Midjourney’s images have higher polish straight out of the box for marketing materials and social media.

DALL-E (https://openai.com/dall-e/) excels at creating images in any style—from realistic photography to numerous art techniques. Its versatility allows rapid transitions between different genres without affecting quality. I typically use DALL-E when I need multiple different styles.

In my experience, Midjourney’s images generally need less refinement for professional use, while DALL-E requires more adjustments but offers a wider variety.

Usability

Midjourney uses Discord. Users join their Discord server and submit prompts in designated channels. While you can see what other users create for inspiration, Discord can be difficult for novice users.

DALL-E uses a web-based interface on openai.com. Users simply enter their prompt and receive generated images directly. There’s no learning curve—anyone familiar with web applications will find DALL-E intuitive.

For beginners, DALL-E is the better choice. Users comfortable with Discord will find Midjourney suitable. Neither requires special technical knowledge.

Prompt Control and Customisation

Example Prompt: “A futuristic city skyline at sunset, ultra-realism, cinematic lighting, gold/purple colour palette, volumetric fog, professional photography, high detail, 8k”

Midjourney produces a more dramatic, stylised city skyline. DALL-E produces a more realistic photograph. Both are beautiful; they simply have different visions.

You can use parameters to improve results:

• Midjourney: –ar 16:9 (aspect ratio), –quality 2 (quality level), – style raw

• DALL-E: Specify sizes and request variations directly

Midjourney offers more fine-tuned parameters for those wanting exactly what they envision. DALL-E is more lenient—imperfect prompts often still produce good output.

Pricing and Free Tiers

Midjourney:

• Basic: $10/month (3.33 GPU hours)

• Standard: $30/month (15 GPU hours)

• Pro: $60/month (30 GPU hours)

• No free tier, but regular free trials available

DALL-E:

• Free trial: $5 credit when signing up

• Pay-as-you-go: $0.015-0.020 per image, depending on resolution

• No subscription required

DALL-E wins for free options with trial credits. For consistent creators, Midjourney’s subscription is predictable—pay one price for unlimited images based on GPU hours. If you generate fewer than 200 images monthly, DALL-E costs less. Heavy users find DALL-E costs add up quickly.

I use both: DALL-E for testing ideas (inexpensive), Midjourney for final production.

Best Use Cases

Midjourney suits:

• Professional designers needing polished visuals

• Marketers creating branded content

• Digital artists exploring visual concepts

• Anyone wanting high-quality results

DALL-E suits:

• Bloggers are trying new image styles

• Content creators on tight budgets

• Anyone needing photorealistic or diverse art styles

As a blogger, I prefer Midjourney for consistent quality, but I also use DALL-E for the different styles it provides.

Tools to Use with AI Image Generators

Canva ( https://www.canva.com/ ) – I use this to design social media graphics and blog layouts. I generate an AI graphic, import it into Canva, add text, adjust colour, and publish without requiring design experience.

Photoshop – For detailed editing: removing backgrounds, colour grading, combining images, and removing artefacts. Great for professional work.

Figma – An amazing web design application. After generating the AI graphic, you add it to your mockup to see how well it fits before going live.

Remove.bg – Your secret weapon for cleaning backgrounds. This tool removes fuzziness to give you perfect cutouts you can use anywhere.

The workflow: Generate → Polish → Integrate → Publish. AI does the heavy lifting; these tools do the polishing.

Tips From My Experience

1. Think of prompts as movie scenes. Instead of “laptop,” write “sleek silver laptop on a modern desk, warm light, shallow depth of field, professional photography.” Detailed prompts produce better results.

2. Use style references. Include specific painting styles, photography types, or artists: “National Geographic photography style” or “Blade Runner cinematography.” This guides the AI’s aesthetic.

3. Combine AI generation with editing. If AI gives you 80% complete design, use Canva or Photoshop to finish, achieving a high-end design without high-end cost.

4. Rework your prompt using 3-4 different examples. Identify what you like about each generated image and iterate.

5. Avoid generic AI images. Many common AI images are overly processed or created from clichéd prompts. Be specific and use unusual angles.

Always save your most effective prompts. I keep a list of previously used prompts that produced good results for different projects.

Mistakes to Avoid

Mistake #1 – Vague prompts: “Some guy working” produces vague results. Try “An engineer focused on work at 10 p.m., blue glow from computer monitor, coffee cup nearby, dark background.” Specific prompts generate significantly better images.

Mistake #2 – Only using AI without editing: Many AI images need editing. Colours may be off, anomalies in the hands, or unwanted parts to crop. Treat AI images as drafts. Spend 10-15 minutes finishing; they’ll look professional.

Mistake #3 – Not understanding copyright: Understand the licensing agreements of images before publishing. Check your plan’s terms before using it commercially.

Mistake #4 – Generating low-resolution images: Low-resolution images appear cheap on blogs or marketing materials. Use high-resolution; the small cost increase produces massive quality improvement.

Mistake #5 – Overusing AI visuals: Sites made up of 90% AI images look inauthentic. Combine AI graphics with original photos, screenshots, and genuine company images.

Mistake #6 – Failing to iterate on prompts: Your first prompt won’t be the best. Review outcomes, determine what succeeded and failed, and improve with the next prompt. Iteration leads to exceptional results.

Conclusion

I approached AI image generators with scepticism. Now I find them very much to be the future of content creation, using them almost daily.

DALL-E is easiest for new users with its web interface and free credits for experimentation. Midjourney offers professional-quality images with an inspiring community and enormous control. For serious creative work, a Midjourney subscription pays for itself.

Both tools are changing how people design, blog, and market online. Try them both—there’s a limited learning curve, and you’ll quickly learn which fits your workflow better. Start this week by generating images, refining prompts, combining them with design tools, and sharing results. Your creative options are endless.