Générateur d'invites d'images IA — Créez des invites pour les parcours intermédiaires, DALL-E et la diffusion stable

Générateur d'invites d'images IA

Build structured image-generation prompts for Midjourney, DALL-E, Stable Diffusion, and Flux. Combine subject, style, composition, lighting, camera, and quality modifiers — get prompts that produce dramatically better images than vague descriptions.

Prompt Components

Invite générée

How to use the AI Image Prompt Builder

Fill in the subject (the most important field — what is in the image), style, mood, composition, lighting, optional camera detail, and aspect ratio. The tool generates three versions: Midjourney with –ar and –v flags, DALL-E/GPT-Image format, and Stable Diffusion/Flux with negative prompts. Copy whichever your AI tool expects.

Pourquoi cet outil est important

Image-generation AI rewards specificity. “A woman working” produces generic stock-photo-looking output. “Editorial photograph of a woman in her 30s working at a laptop, golden hour lighting, shallow depth of field, Canon R5 50mm f/1.4” produces award-quality results. The difference is structure and modifiers — exactly what this builder enforces.

Cas d'utilisation courants

  • Generating brand campaign imagery
  • Creating consistent product photography for e-commerce
  • Building moodboards for design projects
  • Generating blog hero images at scale
  • Custom social media content
  • Product mockup imagery for landing pages

Why all three formats

Midjourney uses inline flags (–ar 16:9 –v 6). DALL-E and GPT-Image use natural language only. Stable Diffusion and Flux accept negative prompts for excluded elements. Generating all three lets you switch tools without rewriting.

Foire aux questions

Why is the prompt comma-separated?
Image AI models tokenize prompts and weight them in order — earlier tokens have more influence. Commas create natural token boundaries. Sentences work too but give the model less control over which elements get emphasis.

Should I include negative prompts?
For Stable Diffusion and Flux, yes — they pay attention to negative prompts. Midjourney has –no but it\u2019s less reliable. DALL-E ignores negative prompts entirely.

Why mention specific cameras and lenses?
Photorealistic models were trained on EXIF-tagged photos. Mentioning “Canon R5” or “Leica M11” cues the model toward the visual characteristics of that camera (color science, dynamic range, depth of field). Often produces more authentic-looking photography.

What about character / brand consistency?
For brand consistency across many images, use Midjourney\u2019s –cref (character reference) or seed-based reproduction. Plain prompts will produce variations on each run.

Building a creative production system around AI-generated imagery?

Riman Agency runs AI-augmented creative production for brands.

Talk to Creative Team

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