A vertical ultra-realistic masterpiece photograph ...

Image
Image
A vertical ultra-realistic masterpiece photograph ...

A vertical ultra-realistic masterpiece photograph ...

Tested & Verified FLUX Commercial License
Basic Prompt

A vertical ultra-realistic photograph of a cheerful East Asian woman standing in the shallow water of a turquoise swimming pool. She has long straight light brown hair with bangs and wears reddish-brown glasses, smiling broadly with genuine joy. She’s dressed in a fashionable one-piece swimsuit in deep black with subtle textured fabric, layered under a semi-sheer black cover-up dress (not robe) with floral embroidery—fully opaque at the torso, flowing to mid-calf. On her feet: sleek black platform sandals (not heels), held casually by the straps as she wades. Background: sunny outdoor pool deck with clear blue water, soft bokeh of lounge chairs and palm trees. Natural daylight, cinematic lighting, 8K fidelity on fabric texture and water droplets, realistic lifestyle photography.

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She doesn’t just stand in the water she radiates summer itself.

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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: Mar 2026 Reproducibility Score: 98%

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