Prompts & writing
AI Image Prompt Generator
Describe the picture in your head. Get a structured prompt with style, lighting and framing that image models actually respond to.
Prompt
a lone hiker on a ridge at first light, editorial photograph, true-to-life materials and skin texture, bright and optimistic mood, shot on a 50mm lens at f/2.0, soft window light, shallow depth of field, carefully composed with a clear focal point and uncluttered background, high dynamic range, natural colour balance, sharp where it matters, 1:1 aspect ratio.
Midjourney version
a lone hiker on a ridge at first light, editorial photograph, true-to-life materials and skin texture, bright and optimistic mood, shot on a 50mm lens at f/2.0, soft window light, shallow depth of field, carefully composed with a clear focal point and uncluttered background, high dynamic range, natural colour balance, sharp where it matters, 1:1 aspect ratio. --ar 1:1 --style raw --v 6
Negative prompt
blurry, low resolution, watermark, signature, extra fingers, deformed hands, distorted face, cluttered background, text artefacts
Why structured prompts beat long ones
Image models read a prompt as a weighted bag of concepts, not a sentence. Subject first, then style, then light, then framing gives the model a clear order of priorities. Piling on adjectives does the opposite — every extra word dilutes the ones that mattered.
- — Lead with the subject. Models weight the first words the heaviest.
- — Name one light source instead of stacking adjectives — it fixes most flat results.
- — Say what should be in focus; models default to putting everything in focus.
- — If a detail matters, repeat it once at the end rather than adding new adjectives.
Negative prompts are supported by Stable Diffusion and most open models. Midjourney uses--no instead, and DALL·E ignores them entirely — with DALL·E, describe what you do want instead.