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What is the best AI image generation tool in 2025? Seven tools compared

28.10.2024Last updated on 23.10.2026

AI-generated images are becoming increasingly common, from portraits to imaginative fantasy landscapes. But which AI tool best suits your project? VAIA colleague Heather compares some popular tools and shares her experiences.

These days there are many AI tools that allow you to create images from text. Think of OpenAI's DALL-E, Midjourney, Stable Diffusion, Adobe Firefly, as well as Leonardo and Google’s ImageFX. Each of these tools has its own style, strengths, and limitations. In this blog, I’ll discuss four of these tools: DALL-E 3, Firefly, Leonardo, and Stable Diffusion.

Update 2025: Added the pros and cons of Canva, Midjourney and Sora!

DALL-E 3


Dall e logo

Let’s start with the most famous one: OpenAI’s DALL-E 3, integrated into ChatGPT. To use it, you need a ChatGPT Pro subscription ($20 per month). The tool is unique because you can engage in a conversation with ChatGPT to make your imagination come to life.

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Pros:

  • Interactive: ChatGPT provides context and explanations for the generated image.
  • Recognisable style: Images often have a cartoonish, cohesive look.
  • Detail editing: You can adjust specific parts of the image (though it doesn’t always work perfectly).
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Cons:

  • Unpredictable outcome: DALL-E sometimes doesn’t always follow instructions.
  • Limited images per prompt: The tool only generates one image per prompt.
  • Text: Odd characters often appear when the tool misinterprets text instructions.

Leonardo

Leonardo ai logo

Leonardo AI was originally developed to create video game assets (digital building blocks of a game), making it suitable for generating consistent visuals, such as multiple illustrations of a character or a brand logo. With the free version, you can enter ±20 prompts, and there’s plenty of freedom in style and content.

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Pros:

  • Wide range of styles: Different AI models give access to realistic photos, anime, digital art, etc.
  • High quality: Leonardo produces highly detailed and realistic images.
  • Prompt enhancement: Built-in AI helps refine prompts for better results.
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Cons:

  • Complex interface: The many options can be confusing initially.
  • Limited commercial use: Leonardo has fewer restrictions on outputs, so not all are suitable for commercial or child-friendly use.
  • Learning curve: Efficient use requires practice, so you may go through tokens quickly.

Firefly

Stable Diffusion

Schermafbeelding 2024 10 28 155203

Stable Diffusion by Stability.AI is an open-source AI model and is used by various image generation tools, including Leonardo. With the right prompts, you can create highly realistic images.

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Pros:

  • Realistic images: Results can be impressive, especially with good prompts.
  • High control: Adjust style, number of images, and prompt strength.
  • Ideal for surreal art: The lighting and details create unique, lifelike images.
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Cons:

  • Complex for beginners: The many options aren’t always intuitive.
  • Inconsistent quality: Images can lack resolution.
  • Anatomical errors: Fingers or faces don’t always look accurate.

Canva

Canva logo

Canva is a graphic design platform that recently started offering various AI tools and apps. The platform is mainly used for social media, websites, presentations, promotional material and branding. To generate images, Canva uses DALL-E and Imagen (Google Cloud), among others.

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Pros:

  • Text generation: Canva can produce and generate easy-to-read text, usually without writing errors.
  • Copy style and background: Copying the style and background from a sample image works very well.
  • Logos: This tool focuses on branding, so it can generate logos very well.
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Cons:

  • Style not for everyone: The style of the generated image sometimes looks a bit childish or too corporate.
  • Weird faces and hands: Especially with the ‘Magic extend’ tool, you often see weird faces or hands.
  • Sometimes too literal: When interpreting prompts, the tool is sometimes too literal and sees less coherence between words.

Midjourney

Midjourney

Midjourney was developed by research lab Midjourney, Inc. The tool tries to follow your prompt as closely as possible to create high-quality images. Each prompt generates 4 images. You can use the tool in your browser or via Discord (chat app).

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Pros:

  • Beautiful style: Midjourney creates very artistic images and handles abstract prompts well.
  • Continuous updates: The tool is regularly updated and maintained by the developers.
  • Community: Because it uses Discord, it immediately creates a community and allows you to share ideas with other users.
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Cons:

  • Complicated: There are many options and the Discord version is less user-friendly than the browser version.
  • Colour too prominent: If you enter a certain colour palette, the tool sticks to it a bit too much.
  • Public visibility: Every image you generate is visible to other users.

Conclusion: which tool should you choose?

Each tool has unique strengths and is suited for different applications. Adobe Firefly en Canva are great for quick, simple visuals, while DALL-E 3 provides an interactive experience. Midjourney, Stable Diffusion and Leonardo produce more realistic images but require more technical knowledge. Choose based on your needs and experience: practice improves results!

Personal favourite Now that I’ve tried Midjourney, I prefer Firefly and Midjourney. Firefly quickly generates four images per prompt and is the easiest to use. The style of the images also appeals to me and it’s easy to expand and finetune your prompts. Midjourney is more complex than Firefly, but it produces more artistic and realistic images. It also has a feature that allows you to make variations of one generated image, allowing you to finetune that image to get exactly what you had in mind.

Isabelle Borremans

Isabelle is not an AI expert, but she has been communicating about AI (and AI training) for VAIA for four years. So, she knows exactly how to communicate effectively about AI training. Feel free to contact her with any questions on how to promote your AI course. She’ll gladly challenge you with questions like:

  • Who is your target audience? Can you be more specific?
  • What networks reach that audience?
  • Where does your audience prefer to take courses?
  • What AI skills does your audience need?
  • Does your training match their needs?

Besides communication, Isabelle also works on VAIA’s strategy: Who is our audience? How can we reach them? How can we spark their interest in AI?

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