Sci-Fi Scene. Show a secretary sitting in the blac...

Image
Image
Sci-Fi Scene. Show a secretary sitting in the blac...

Sci-Fi Scene. Show a secretary sitting in the blac...

Tested & Verified Seedream 4 Commercial License
Basic Prompt

Unreal Engine 5 ultra-realistic render of a 1969 Pentagon office interior. A professional woman secretary in period-appropriate business attire (modest knee-length dress, simple hairstyle) seated in a large black leather executive chair behind a heavy oak desk. Desk details: green banker's lamp, rotary telephone, ashtray with extinguished cigarette, classified folders stamped "EYES ONLY", brass nameplate. Wood-paneled walls with Cold War maps and American flag. Soft volumetric lighting, film grain texture, photorealistic skin and fabric details, cinematic composition, 16:9 aspect ratio.

To view Detailed Prompt please login

This isn't her desk. But for this moment it is.

No approved reviews yet.

Write a comment

Select a rating

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 Seedream 4
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%

Frequently Asked Questions

aseaw

sadad

asdasd

asdasd

Intelligent Conversations Made Simple
Subscribe to newsletter