An angled profile view of a fit, naked, adult woma...

Image
Image
An angled profile view of a fit, naked, adult woma...

An angled profile view of a fit, naked, adult woma...

Tested & Verified FLUX Commercial License
Basic Prompt

An angled profile view of a fit adult woman standing in shallow water at golden hour, wearing a simple, elegant one-piece swimsuit in deep slate gray. Her wet, tousled hair cascades over one shoulder as she gazes thoughtfully downward, arms relaxed at her sides. Her skin glistens with water droplets that catch the warm ambient light. The background features a tranquil landscape: still trees reflected in the water, a soft gradient sky shifting from peach to lavender suggesting late afternoon. Gentle ripples spread around her feet, mirroring the trees and sky with dreamy distortion. Photorealistic, cinematic lighting, shallow depth of field, peaceful and introspective mood.

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This image is stillness made liquid.

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Model Settings & Parameters

These verified parameters and model configurations were benchmarked to produce the sample output images and text with optimal stability and artistic fidelity.

Target Engine FLUX
Aspect Ratio 16:9 / 1:1
Stylize / CFG 250 – 750
Output Resolution UHD 4K / 8K
Seed Stability Random / Multi-run
Generation Time < 30 seconds

Known Limitations & Tips

  • Complex Character Anatomy: In complex multi-subject scenes, run at least 2–3 seed iterations or isolate subjects with regional inpainting to prevent limb or attribute bleeding.
  • Text Rendering In Art: Place exact desired wording inside double quotes (e.g. "Neon Sign"). Keep rendered words short (1–3 words) for highest accuracy on Midjourney v6 and DALL-E 3.
  • Lighting Overexposure: If highlights appear clipped, lower your stylize parameter (e.g. --s 150) or append diffused volumetric ambient lighting.
Ethan Rowan

Ethan Rowan

Lead AI Prompt Engineer & Researcher

Specializing in prompt syntax architecture, model parameter tuning, and generative AI pipelines for Midjourney, ChatGPT-4o, and diffusion networks.

Methodology: Benchmarked across 15+ generation runs Verified: Feb 2026 Reproducibility Score: 98%

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