Getting Started with AI Image Generation: A Practical Guide

AI image generation has moved far beyond novelty. Designers use it to prototype concepts in seconds. Marketers generate on-brand visuals without a photoshoot budget. Developers create UI assets without opening Figma. If you've been meaning to start generating images with AI but aren't sure which tool to pick or how to write a prompt that doesn't produce garbage — this guide is for you.

If you're brand new to AI tools in general, our AI Tools for Beginners guide covers the fundamentals. This article assumes you're ready to get your hands dirty with image generation specifically.

Pick the Right Tool for Your Use Case

Not all AI image generators are built for the same job. Here are five worth knowing, each with a distinct strength:

• Midjourney — The gold standard for aesthetic quality. Runs through Discord (or its new web app). Best for illustrations, concept art, stylized photography, and anything where visual polish matters more than pixel-perfect accuracy. Plans start at $10/month.
• DALL-E 3 (via ChatGPT) — OpenAI's model, integrated directly into ChatGPT Plus. Strongest at following complex, multi-part text prompts accurately. Great for quick ideation because you can iterate conversationally. Included with ChatGPT Plus ($20/month) or accessible via API.
• Stable Diffusion (via ComfyUI or Automatic1111) — Open-source and runs locally on your own GPU. Maximum control, no usage limits, no content filters you can't modify. Best for power users who want fine-grained control over models, LoRAs, and workflows.
• Adobe Firefly — Built into Photoshop and Adobe Express. Trained on licensed content, so the output is commercially safe. Best for professionals already in the Adobe ecosystem who need to generate and edit in one place.
• Leonardo.ai — A web-based platform with a generous free tier and strong fine-tuning features. Good middle ground between Midjourney's ease of use and Stable Diffusion's customizability.

Quick decision framework: Need beautiful images fast? Start with Midjourney. Need accurate prompt following and conversational iteration? Use DALL-E 3 in ChatGPT. Need total control and no recurring cost? Set up Stable Diffusion locally. Need commercial safety? Adobe Firefly. Want to experiment for free? Leonardo.ai.

Write Your First Effective Prompt

The prompt is everything. A vague prompt produces a vague image. Here's how to structure prompts that actually work:

Use this formula: [Subject] + [Setting/Context] + [Style] + [Technical Details]

Bad prompt:

A dog in a park

Good prompt:

A golden retriever sitting in a sunlit autumn park, fallen orange leaves on the ground, shallow depth of field, warm color grading, photorealistic, shot on 85mm lens

Key principles:

1. Be specific about the subject. "A woman" is vague. "A 30-year-old woman with short black hair wearing a white linen shirt" gives the model something to work with.
2. Define the style explicitly. Terms like "photorealistic," "watercolor illustration," "3D render," "flat vector art," or "cinematic film still" dramatically change output.
3. Add technical photography terms. Phrases like "soft diffused lighting," "golden hour," "macro shot," "wide-angle lens," and "bokeh background" steer the composition.
4. Use artist or era references when appropriate. In Midjourney, adding "in the style of Studio Ghibli" or "Art Deco aesthetic" gives the model a strong stylistic anchor.
5. Specify what you don't want. Midjourney supports --no flags (e.g., --no text, watermark). DALL-E 3 lets you say "without any text overlays" directly in the prompt.

Spend your first session generating 10–15 variations of the same concept with different style descriptors. You'll learn more from that than from reading another tutorial.

Iterate and Refine Instead of Starting Over

Your first generation will rarely be final. The real skill in AI image generation is iteration.

In Midjourney: After generating a 4-image grid, use the U buttons to upscale a favorite and V buttons to create variations. Use --seed with a specific number to keep consistency across tweaks. Remix mode (/prefer remix) lets you modify the prompt while keeping the same composition.

In DALL-E 3 via ChatGPT: Just talk to it. Say "Make the background darker," "Change her shirt to blue," or "Keep the same composition but make it a pencil sketch." The conversational interface is DALL-E 3's killer feature — use it.

In Stable Diffusion: Use img2img mode to feed a generated image back in with a modified prompt and a denoising strength of 0.3–0.5. This preserves the overall composition while shifting specific details. ControlNet adds even more precision — you can lock in poses, edges, or depth maps.

In Leonardo.ai: Use the Canvas editor to inpaint specific regions. Generated a great portrait but the hands look wrong? Paint over just the hands and re-generate that section.

The pattern across all tools: never treat a single generation as pass/fail. Treat it as a draft.

Use Practical Workflows for Real Projects

Here are three concrete workflows people are using right now:

Blog and Newsletter Graphics

1. Open ChatGPT with DALL-E 3 enabled.
2. Prompt: "A flat illustration of a person at a desk surrounded by floating AI interface elements, cool blue and purple tones, minimal clean style, white background, suitable as a blog header image."
3. Ask ChatGPT to adjust colors or composition until it matches your brand.
4. Download and crop to your blog's header dimensions.

Product Mockups and Concept Art

1. Use Midjourney with a detailed prompt describing your product in context.
2. Example: "A sleek matte black smart speaker on a wooden shelf in a modern living room, soft natural window light, product photography, 50mm lens, minimal Scandinavian interior --ar 16:9 --v 6.1"
3. Generate a grid, upscale the best option, then bring it into Photoshop or Canva for final touches.

Consistent Character or Brand Assets

1. Use Leonardo.ai or Stable Diffusion with a fine-tuned model or LoRA trained on your character/brand style.
2. In Leonardo.ai, use the "Character Reference" feature to maintain facial consistency across multiple generations.
3. In Stable Diffusion, train a LoRA on 10–20 reference images using Kohya_ss, then invoke it in every prompt for style consistency.

Understand the Limits and Legal Landscape

AI image generators still struggle with specific things: hands and fingers (getting better but not solved), text within images (DALL-E 3 handles short text; others mostly don't), exact counts ("five birds" might give you four or seven), and precise spatial relationships ("the red cup is to the left of the blue cup" is still inconsistent).

On the legal side: Adobe Firefly is the safest for commercial use since it's trained on licensed and public domain content. Midjourney grants you commercial rights on paid plans. Stable Diffusion output ownership depends on the specific model and your jurisdiction. DALL-E 3 grants commercial usage rights per OpenAI's terms. Always check the current terms of service for your specific use case, especially for client work.

If you're building a broader AI-powered creative workflow — combining image generation with writing, video, and automation — check out our guides on AI tools for writers, AI video generators, and automating your workflow with AI.

Quick-Start Checklist

• [ ] Choose one tool and sign up (Midjourney or DALL-E 3 in ChatGPT for most people)
• [ ] Generate 10 images using the prompt formula: Subject + Setting + Style + Technical Details
• [ ] Practice iterating on your best result — upscale, vary, refine
• [ ] Try one real project: a blog header, social media graphic, or presentation visual
• [ ] Experiment with a second tool to compare output styles
• [ ] Bookmark prompt libraries like Midjourney's community showcase or PromptHero for inspiration

The best way to learn AI image generation is to generate images. Pick a tool, write a prompt, and start iterating today.

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