Good AI image prompting is visual direction.

Instead of asking for “a cool futuristic city,” describe what the viewer should see: the subject, camera angle, lighting, environment, mood, materials, color palette, and format.

The model can only prioritize what you make clear.

The Core Prompt Formula

Use this structure:

[Subject], [action or pose], [setting], [composition], [lighting], [medium or style], [color palette], [details to include], [things to avoid], [platform parameters]

Example:

Editorial photo of a compact electric delivery van parked outside a small bakery at sunrise, three-quarter front angle, wet street reflections, warm window light, realistic urban background, muted teal and amber palette, crisp product detail, no logos, no people in foreground

That is stronger than:

cool electric van, realistic, high quality

What To Specify

Subject: Who or what is the image about?

Setting: Where is it?

Composition: Close-up, wide shot, centered, rule of thirds, overhead, product-on-white, cinematic frame?

Lighting: Soft window light, harsh noon sun, studio lighting, neon, candlelight, overcast, golden hour?

Medium: Photograph, watercolor, editorial illustration, 3D render, line art, claymation-style, pixel art?

Mood: Calm, clinical, playful, premium, rugged, eerie, optimistic?

Constraints: No text, no logos, no extra hands, no background clutter, no fake UI labels.

Midjourney Tips

Midjourney is strong for stylized, polished, and visually rich images. Its official model docs list Version 7 as released on April 3, 2025 and later made the default model. Use the current version available in your account and check docs for changing parameters.

Useful Midjourney habits:

  • Keep prompts clear and visual.
  • Use aspect ratio parameters for layout.
  • Use style references when you need consistency.
  • Use --style raw when you want less automatic beautification.
  • Iterate with variations rather than rewriting everything.

Example:

minimal product photo of a matte black smart notebook on a pale stone desk, top-down composition, soft studio lighting, subtle shadows, premium stationery aesthetic, no hands, no text --ar 4:3 --style raw

GPT Image And DALL-E Tips

OpenAI’s image tools are strong at following detailed instructions, text rendering, editing, and transforming existing images. OpenAI’s API docs now focus on GPT Image models, while older DALL-E models have narrower roles and lifecycle limits.

Useful habits:

  • Write in normal descriptive language.
  • Be explicit about layout and text.
  • Upload reference images when editing.
  • Ask for transparent background when needed.
  • Specify what must remain unchanged during edits.

Example:

Create a square social media graphic for a productivity app launch. Clean white background, one centered phone mockup, headline text: "Plan Less. Ship More.", small blue accent shapes, modern SaaS style, lots of whitespace, no extra text.

Stable Diffusion Tips

Stable Diffusion is strongest when you need local control, custom models, LoRAs, inpainting, or community workflows.

Useful habits:

  • Choose the right base or community model.
  • Use negative prompts when supported.
  • Use img2img or inpainting for refinement.
  • Keep seeds and settings for reproducibility.
  • Understand the license for the model you use.

Stability AI’s Stable Diffusion 3.5 release emphasized open model variants, customization, consumer hardware support, and use under the Stability AI Community License.

A Better Iteration Workflow

Do not expect the first image to be perfect.

Use this loop:

  1. Generate broad options.
  2. Pick the strongest composition.
  3. Refine subject and lighting.
  4. Fix unwanted details.
  5. Adjust aspect ratio for the final channel.
  6. Upscale or edit.
  7. Check legal and brand issues before publishing.

Most professional AI image work is editing and selection, not one lucky prompt.

Common Mistakes

The first mistake is using generic words like “beautiful,” “amazing,” and “high quality” without visual direction.

The second mistake is mixing too many styles. “Cyberpunk watercolor Renaissance claymation product photo” usually confuses the result unless you intentionally want a strange hybrid.

The third mistake is forgetting the final use case. A blog hero, product mockup, YouTube thumbnail, and square social post need different composition.

The fourth mistake is ignoring rights and policies. Be careful with living artists, celebrities, trademarks, copyrighted characters, logos, and misleading realistic imagery.

Bottom Line

Write image prompts like a creative brief. Describe the visual outcome, not just the vibe.

Subject, setting, composition, lighting, medium, palette, constraints, and iteration will improve your results more than stuffing the prompt with random quality words.

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