Sci-fi Scene. Show a side view of a scene where on...

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Sci-fi Scene. Show a side view of a scene where on...

Sci-fi Scene. Show a side view of a scene where on...

Tested & Verified Seedream 4 Commercial License
Basic Prompt

Side-view cinematic shot inside a 1969 Pentagon office: one general seated at a heavy oak desk facing forward, another general standing rigidly against the far wall. Both stare intently at an empty space in front of the desk where a chair would be but no person or object is present. The front side of the desk is not visible; camera angle shows only the side profile of the room. Period-accurate details: green banker's lamp, rotary phone, ashtray with cigarette smoke curling upward, wood-paneled walls, brass nameplate reading "JCS." Subtle sci-fi element: faint geometric distortion in the air where they're looking a barely visible heat-haze shimmer suggesting an unseen presence. Moody Cold War lighting, Kodachrome film aesthetic, 35mm lens.

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The chair is empty. But the space is occupied.

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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 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%

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