AI Image Prompts

A good image prompt includes a clear subject, specific style reference, lighting description, composition details, and quality modifiers. Structure prompts from most to least important elements. Adding specific details like camera lens type, time of day, and color palette produces more predictable, higher-quality results.

DALL-E 3 understands natural language well, so write descriptive sentences rather than keyword lists. Include detailed scene descriptions, specify what you want and do not want, and describe the mood and atmosphere. DALL-E 3 also renders text in images, which other tools struggle with.

Top-performing keywords include highly detailed, photorealistic, cinematic lighting, 8K resolution, professional photography, trending on artstation, concept art, and masterpiece. Combine these with style-specific terms relevant to your desired output for best results across platforms.

Use the same style descriptors, color palette, and quality modifiers across all prompts. In Midjourney, use style reference and character reference features. In Stable Diffusion, use the same model, settings, and seed variations. Document your successful prompts for reuse across the project.

Yes, most platforms allow commercial use on paid plans. DALL-E grants full rights to all generated images. Midjourney requires a paid subscription for commercial use. Stable Diffusion outputs have no usage restrictions. Always verify current terms of service before commercial deployment.

Use 1:1 for social media profiles and Instagram posts, 16:9 for YouTube thumbnails and presentations, 9:16 for Instagram Stories and TikTok, and 4:3 for standard displays. Most AI tools let you specify aspect ratio in the prompt or settings. Choose based on your intended platform.

Use inpainting to fix specific areas, adjust your prompt to be more or less specific, try different seed numbers, change the art style or quality modifiers, and use negative prompts to exclude unwanted elements. Iterating on prompts with small changes produces better results than starting over each time.

Prompt weighting assigns importance to different parts of your prompt. In Midjourney, use :: to separate and weight elements. In Stable Diffusion, use parentheses and numbers like (subject:1.5). Higher weights make that element more prominent in the generated image.