In this captivating image, we see a candid photogr...

Image
Image
In this captivating image, we see a candid photogr...

In this captivating image, we see a candid photogr...

Tested & Verified FLUX Commercial License
Basic Prompt

Photorealistic photograph of a woman in her [20s/30s] enjoying a summer evening at a pool. She wears a [modest one-piece swimsuit / athletic rash guard with swim shorts] in [color], designed for comfort and movement. Captured mid-action: [laughing while climbing out of the pool / splashing water playfully / adjusting goggles before a lap]. Wet hair pushed back practically, genuine expression of joy or focus. Background: softly lit poolside with lush greenery and subtle fairy lights; [friends visible in mid-ground sharing the moment]. High-speed shutter freezing natural water droplets in motion. Warm ambient lighting, 35mm lens, shallow depth of field. Mood: carefree, communal, authentically joyful not performative or sexualized. No emphasis on body parts, no "clinging" fabric descriptions, no voyeuristic framing.

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This isn't about hiding bodies. It's about honoring presence.

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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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