Best AI Image Generation Prompts That Actually Work (With Examples)

The difference between a mediocre AI image and a great one is usually not the model — it's the prompt. Prompting is a learnable craft with real techniques that consistently produce better results across every image generation tool. This guide covers the core techniques with actual examples you can adapt immediately.

The Anatomy of a Strong Image Prompt

A well-structured prompt typically contains: subject description, style and medium, lighting conditions, camera/composition details, and quality modifiers. You don't need all five for every image, but understanding each element gives you control over the output.

Basic structure: [Subject] + [Action/Context] + [Style/Medium] + [Lighting] + [Camera/Composition] + [Quality modifiers]

Midjourney-Specific Techniques

Midjourney responds particularly well to stylistic references and artistic direction. Key techniques:

• Use artist references: "in the style of Edward Hopper," "inspired by Studio Ghibli backgrounds," or "reminiscent of Ansel Adams photography" all produce reliable aesthetic shifts. Avoid using living artists' names if you're producing commercial work.
• Aspect ratio control: Add --ar 16:9 for landscape, --ar 9:16 for vertical/social media, --ar 1:1 for square. Getting the right ratio from the start saves you from cropping later.
• Version control: Midjourney V6 (--v 6) is the current best model for photorealism. For more painterly or illustrated results, V5 can sometimes produce more aesthetic outputs for certain styles.
• Stylize parameter: --stylize 50 for more literal prompt adherence, --stylize 750 for more artistic interpretation. Default is 100. Experiment with this to understand how it affects your specific use case.

Example Midjourney Prompts That Work

Product photography: "minimal product photography of a matte black water bottle on a white marble surface, soft studio lighting, professional commercial photography, high resolution --ar 4:5 --v 6"

Portrait: "portrait of a thoughtful woman in her 40s, natural window light, shallow depth of field, documentary photography style, warm tones --ar 4:5 --v 6"

Landscape: "dramatic coastal cliff at sunset, crashing waves below, golden hour light, long exposure, cinematic composition --ar 16:9 --v 6 --stylize 200"

DALL·E 3 Techniques

DALL·E 3 is integrated into ChatGPT, which creates a unique advantage: you can have a conversation about what you want rather than crafting a single prompt. Key techniques specific to DALL·E 3:

• Use conversational refinement: Start with a description, see the output, then say "keep the composition but make the lighting warmer" or "same scene but from a lower angle." Iterating conversationally is faster than rewriting prompts from scratch.
• Be specific about text: DALL·E 3 is significantly better at text in images than Midjourney. If you need text, be very explicit: "a poster with the text 'OPEN' in bold red sans-serif letters centered at the top."
• Describe the emotion you want: "a feeling of quiet solitude," "energetic and optimistic," "slightly melancholic but hopeful." DALL·E 3 responds well to emotional tone descriptors in ways that translate to visual mood.

Stable Diffusion Advanced Techniques

Stable Diffusion's open-source nature means more controls but also more complexity. Techniques that aren't available in hosted tools:

• Negative prompts: Specify what you don't want. Common exclusions: "blurry, low quality, watermark, text, deformed hands, extra fingers, ugly, distorted." Negative prompts significantly improve consistency.
• ControlNet: Provide a reference image to control the composition, pose, or line structure of the output. For maintaining specific compositions while changing the style, ControlNet is unmatched.
• LoRA models: Load custom fine-tuned models from CivitAI to specialize the output for specific styles, subjects, or aesthetics that the base model doesn't handle as well.

Leonardo AI for Consistent Character Generation

Leonardo AI has strong built-in models and a feature called Image Guidance that helps maintain consistency across images — particularly useful for product photography and character consistency across multiple shots. The free daily credits make it the best free option for serious image generation work.

Universal Prompting Principles

Regardless of which tool you're using, these principles improve results across the board:

• Specificity over generality: "cobblestone street in Paris at dusk" beats "city street at night" every time.
• Lighting is the most powerful modifier: "golden hour," "dramatic side lighting," "soft diffused window light," and "harsh midday sun" each create completely different images from the same subject.
• Camera language works: "shot on a 35mm lens," "aerial view," "macro photography," "fish-eye lens" all produce consistent results and give you compositional control.
• Quality anchors matter: "highly detailed," "award-winning photography," "8K render," "professional quality" all modestly but consistently improve output quality in most tools.
• Generate variations, not single attempts: Even the best prompt produces variable results. Generate 4–8 variations and select the best rather than trying to perfectly craft one prompt that works every time.