AI image generators: which one should you use?

I gave four AI image generators the same ten prompts and compared the results. The prompts ranged from simple ("a cat sitting on a bookshelf") to complex ("a watercolor painting of a Tokyo street market at dusk, seen from above, with steam rising from food stalls"). Here's what each tool produced and where it excels.

Quick comparison

Tool	Price	Best for	Style control	Speed	Accessibility
Midjourney [AFFILIATE:midjourney]	$10-60/mo	Artistic, editorial images	Excellent	Fast	Discord + web app
DALL-E 3 [AFFILIATE:chatgpt]	$20/mo (via ChatGPT Plus)	Quick iterations, text in images	Good	Fast	ChatGPT interface
Stable Diffusion [AFFILIATE:stability]	Free (local) / varies	Full control, customization	Total (with effort)	Varies	Local install or hosted
Gemini Imagen [AFFILIATE:google-one]	$20/mo (via Google One AI)	Photorealistic images	Good	Fast	Gemini interface

Midjourney — still the aesthetic king

Midjourney v6.1 produces the most visually appealing images of any tool tested. There's a distinctive Midjourney "look" — high contrast, rich colors, cinematic lighting — that makes its output immediately recognizable. For many users, that's a feature, not a bug.

What it does well:

The artistic quality is a clear step above competitors. For editorial images, social media graphics, concept art, and anything where visual impact matters more than photorealism, Midjourney wins. It interprets abstract prompts better than any other tool — give it a mood or feeling and it translates that into a coherent image.

The style parameter system lets you dial in specific aesthetics. You can blend styles, reference other images, and fine-tune results with parameters like --stylize, --chaos, and aspect ratio controls. Power users can get extremely precise results.

What it doesn't:

Text rendering is still mediocre. If your image needs readable text (a book cover, a sign, a logo concept), you'll need to add text in post-production. The Discord-based workflow is clunky — you're generating images in a chat interface alongside thousands of other users. The new web app improves this, but it still feels like an afterthought compared to a purpose-built interface.

Pricing is per-GPU-minute, which means the actual number of images you can generate varies. Heavy users on the $10/month Basic plan will hit limits quickly.

Best for: Designers, marketers, and content creators who need beautiful images and are willing to learn the prompting system.

DALL-E 3 — the easiest to use

DALL-E 3 lives inside ChatGPT, which means you can describe what you want in plain English and have a conversation about refinements. "Make the sky more orange." "Remove the person on the left." "Make it look more like a vintage photograph." This conversational workflow is DALL-E 3's biggest advantage.

What it does well:

Text in images. DALL-E 3 is the only tool that reliably renders readable text. Need a mockup of a poster, a sign, or a book cover with specific words? DALL-E 3 handles it. This alone makes it the right choice for certain use cases.

The integration with ChatGPT means the AI understands complex descriptions and can suggest improvements. You don't need to learn a special prompting syntax.

What it doesn't:

The artistic ceiling is lower than Midjourney. DALL-E 3 images look competent but rarely stunning. There's a slight "digital art" quality to everything — smooth, clean, and a bit generic. You can't fine-tune style parameters the way you can with Midjourney or Stable Diffusion.

OpenAI's content policy is the strictest of any tool here. It refuses many prompts that other tools handle without issue. This is frustrating when you're working on legitimate creative projects that happen to trigger a filter.

Best for: Non-designers who need quick images for presentations, blog posts, or social media. Anyone who needs text in their images.

Stable Diffusion — the power user's choice

Stable Diffusion is open-source, which means you can run it locally on your own hardware (with a decent GPU) or use one of many hosted services. This gives you total control over the model, the training data, and the output.

What it does well:

Customization is unmatched. You can train custom models (LoRAs) on specific styles, subjects, or products. Want an image generator that produces pictures in your brand's exact visual style? Stable Diffusion can do that. No other tool offers this level of control.

Running locally means no content filters, no usage limits, and no subscription fees. For professionals who generate hundreds of images per week, the economics are significantly better than any subscription service.

The community has built an enormous ecosystem of models, extensions, and workflows. ComfyUI and Automatic1111 provide interfaces that, while not beautiful, are extremely powerful.

What it doesn't:

The learning curve is steep. Setting up Stable Diffusion locally requires technical knowledge — installing Python dependencies, configuring CUDA drivers, downloading model weights. Hosted options (RunPod, Replicate) reduce this friction but add cost.

Out-of-the-box quality is lower than Midjourney or DALL-E 3. You need to find the right model, tune your prompts, and often use negative prompts and other techniques to get professional results. The gap closes with experience, but beginners will be disappointed by their first attempts.

Best for: Developers, technical artists, and anyone who needs full control over their image generation pipeline. Studios that generate images at scale.

Gemini Imagen — Google's contender

Google's image generation model, available through Gemini, has improved dramatically. Imagen 3 produces photorealistic images that are difficult to distinguish from photographs in many cases.

What it does well:

Photorealism. For product photography mockups, realistic portraits, and scenes that need to look like actual photos, Imagen 3 is the strongest option. The lighting, skin textures, and material rendering are noticeably better than competitors for photorealistic use cases.

The Gemini integration means you get the same conversational workflow as DALL-E 3 — describe what you want, iterate through conversation. Google's multimodal understanding helps it interpret complex scene descriptions accurately.

What it doesn't:

Artistic and stylized images are weaker than Midjourney. If you want watercolor, oil painting, or highly stylized output, Imagen defaults to a photographic look that's hard to override.

Availability is inconsistent. Some features are limited by region, and the rate limits on the free tier are tight. The content policy, while less restrictive than DALL-E 3, still blocks legitimate creative prompts occasionally.

Best for: Product photography, realistic mockups, and anyone who needs images that look like they were taken by a camera.

Prompt-by-prompt results

I tested all four tools on the same prompts. Here are the highlights:

Prompt type	Winner	Notes
Portrait photography	Gemini Imagen	Most realistic skin and lighting
Fantasy concept art	Midjourney	Best atmosphere and composition
Product mockup	Gemini Imagen	Clean, professional look
Text-heavy design (poster)	DALL-E 3	Only one with reliable text
Abstract art	Midjourney	Best interpretation of abstract concepts
Architectural visualization	Stable Diffusion (with tuned model)	Most accurate geometry
Logo concepts	DALL-E 3	Clean, usable starting points
Photorealistic landscape	Gemini Imagen	Best natural lighting
Illustration (children's book style)	Midjourney	Best style consistency
Technical diagram	None (all poor)	Use a dedicated diagramming tool

The bottom line

For most people: Start with DALL-E 3 through ChatGPT. You probably already have a subscription, the conversational interface has no learning curve, and the results are good enough for 80% of use cases.

For visual quality: Midjourney [AFFILIATE:midjourney]. If the image needs to look impressive — for a website hero, a social post, a presentation — Midjourney's aesthetic quality justifies the subscription.

For photorealism: Gemini Imagen [AFFILIATE:google-one]. Product shots, realistic mockups, and anything that should look like a photograph.

For control and scale: Stable Diffusion [AFFILIATE:stability]. If you need hundreds of images in a consistent style, or you want to train custom models, nothing else comes close.

Many professionals use two or three of these tools depending on the project. They're not mutually exclusive, and at $10-20/month each, combining two tools is still cheaper than a single stock photo subscription.