How to Use AI to Create Images: A Practical Guide
Using AI to create images is straightforward: choose a tool (DALL·E, Midjourney, or Stable Diffusion), describe in text what you want to see, and the tool generates the image within seconds. No drawing skills required. No graphic designer needed. A well-constructed description and an online account are enough to get started.
That’s the short answer.
If you’re a marketing manager, HR director, or business leader, the real question is different. Not “does it work?” but “how do I integrate it into my work without wasting time fumbling around?”
This guide is built for that.
Step 1: Choose the Right Tool for Your Use Case
Three tools dominate the market today.
DALL·E (integrated into ChatGPT) is the most accessible. Already have a ChatGPT account? You can generate images immediately. Ideal for quick visuals, presentation illustrations, and communication mockups.
Midjourney produces visually more sophisticated results. It runs through Discord, which can be confusing at first. But for brand visuals, quality marketing materials, or artistic creations, it’s widely referenced by creative teams as a leading option.
Stable Diffusion is open source. You can install it locally, customize it, and integrate it into your own tools. This is the option for technical teams who want full control over their environment.
For a business leader or HR director just starting out: DALL·E via ChatGPT. Zero friction.
Step 2: Write a Prompt That Actually Works
The prompt is your text description. This is where most beginners lose time.
A bad prompt: “a photo of an office”.
A good prompt: “Realistic photo of a modern office in Casablanca, natural light, two colleagues in an informal meeting, relaxed professional atmosphere, contemporary corporate style”.
The difference? Precision. Here are the elements to include systematically:
- The main subject (who or what)
- The visual style (realistic photo, illustration, watercolor, 3D…)
- The mood or emotion (dynamic, calm, serious, creative)
- Geographic or cultural context if relevant
- The desired format (landscape, square, portrait)
The more precise your description, the more directly usable the result.
Step 3: Iterate, Don’t Start Over
The first generated image is rarely the right one. That’s normal. It’s not a failure, it’s the process.
The right method: generate a first version, identify what’s wrong (the lighting? the composition? the style?), adjust the prompt on that specific point, regenerate.
Most tools allow you to request variations of an existing image rather than starting from scratch. After three or four iterations, you generally have a usable visual.
What I observe in teams adopting these tools: the real value isn’t in the first image. It’s in the ability to produce ten variations in an hour instead of waiting a week for an external supplier.
This kind of concrete integration is what I cover in my AI Governance Sprint, a 2-3 week engagement to structure AI use across your teams. Learn more about my services.
Step 4: Concrete Business Use Cases
Here’s what teams I work with are actually doing.
Marketing and communications: social media visuals, newsletter illustrations, cover images for annual reports. No more waiting for a graphic designer for every urgent request.
HR and employer branding: visuals for job postings, illustrations for training materials, images for internal presentations. Visual employer branding is becoming a real competitive advantage, particularly for teams working on their online attractiveness.
Consulting and advisory: visual mockups for client deliverables, concept illustrations for executive presentations, educational materials.
Freelancers and independents: visual content production without a graphic design budget, rapid customization for each client.
If you want to go further on building AI skills across your teams, I’ve listed the best free AI training programs with certificates in 2026. It’s a solid starting point before scaling usage across the organization.
Step 5: Pitfalls to Avoid
First pitfall: using generated images without checking rights. Terms of use vary by tool and subscription level. Always consult the official terms of each tool before any commercial publication.
Second pitfall: publishing without human review. AI sometimes generates hands with six fingers, illegible text within the image, or incorrect anatomical details. A ten-second human check prevents visible errors.
Third pitfall: believing the perfect prompt exists on the first try. Iteration isn’t a sign of incompetence. It’s the normal method.
Fourth pitfall: ignoring your brand’s visual consistency. Generating images in different styles for each piece of content creates an incoherent visual identity. Define a reference style and stick to it in your prompts.
What This Actually Changes
AI image generation doesn’t replace a senior art director. It replaces repetitive, low-value tasks: quick illustrations, presentation mockups, standard social media visuals.
What it frees up is budget and the ability to test visual ideas before investing in professional production.
For teams that already have an AI culture, it’s a natural extension. For those just starting, it’s often the first tool that convinces skeptics, because the result is immediately visible. As I explain in my analysis on which jobs will survive AI, it’s not the tool that threatens creative profiles. It’s the inability to integrate it into their practice.
Want to structure AI integration into your processes, not just test tools? Request a free diagnostic.
FAQ
Do you need technical skills to use generative AI image tools?
No. Tools like DALL·E via ChatGPT require no technical skills. You write a description in plain language, the tool generates the image. The key skill to develop is writing well-constructed prompts.
Can these images be used for commercial purposes?
It depends on the tool and your subscription level. Terms vary and evolve regularly. Always check the official terms of use for each tool before any commercial publication.
What’s the difference between DALL·E and Midjourney?
DALL·E is more accessible and integrated into ChatGPT. Midjourney produces more visually refined results but requires going through Discord. To start: DALL·E. For quality brand visuals, Midjourney is widely cited by creative teams as a leading reference.
Will AI image generation replace graphic designers?
Not senior graphic designers with creative vision and brand expertise. It replaces repetitive tasks: quick illustrations, mockups, standard visuals. Professionals who know how to use these tools become more productive, not obsolete.
How long does it take to get a usable image?
Between thirty seconds and a few minutes depending on the tool and the number of iterations. Generally count on two to four attempts before getting a directly usable result.