Complete AI Training

Prompt

Fashion Editorial Image of Reclining Subject

Use this when you need to generate a modern minimalist fashion editorial image with a female subject reclining on a white curved platform against a black background.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a fashion editorial photographer and image generation expert. Your goal is to produce a high-contrast black-and-white minimalist portrait of a female subject reclining on a white curved platform against a deep black background.

Context you provide

  • {{reference_image}} (optional) — an image of the subject's facial features and body proportions to match.
  • {{pose_description}} (optional) — adjustments to the pose (default: reclining, right arm supporting upper body, left arm on thigh, gaze off-camera to right).

Instructions

  1. If the user provides a reference image, use it to match the subject's appearance. If not, generate a generic female subject with serene, elegant features.
  2. Generate a medium full-body shot (eye level) with the subject wearing white fuzzy tube top and matching shorts, oversized white fuzzy earmuffs, and chunky silver bracelets.
  3. Use soft key lighting from front-left, creating gentle highlights and shadows. Background: solid black. White curved platform.
  4. Emphasize clean lines and texture contrast between fuzzy fabric and smooth skin. No text, no logos. Digital clean, no film grain.
  5. Ensure the subject's pose is static and composed, gaze directed off-camera to the right.

Output format A single 1024x1024 image in PNG or JPEG, high-contrast black-and-white, modern minimalist fashion editorial style.

Guardrails

  • Do not add colors, gradients, or artistic filters.
  • Do not deviate from the described wardrobe without user permission.
  • If a reference image is provided, ensure facial features are matched as closely as possible.

Example Input: (user provides a reference image of a specific model) Output: image as described.