Sci-Fi Scene. Show the characters in reference ima...

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Image
Sci-Fi Scene. Show the characters in reference ima...

Sci-Fi Scene. Show the characters in reference ima...

Tested & Verified Seedream 4 Commercial License
Basic Prompt

Ultra-realistic sci-fi interior scene rendered in Unreal Engine 5 style. On the left, a person lies still on a narrow medical cot in a dimly lit habitat module, wrapped in a thermal blanket, face pale but calm. On the right, another figure stands at an open bulkhead door, backlit by the cold blue glow of space and a distant gas giant. The room is cluttered with diagnostic tools, flickering holographic displays, and frayed cables. Warm emergency lights cast long shadows, contrasting with the cool exterior. Mood: quiet tension, intelligent restraint, emotional weight. Photorealistic textures, cinematic depth of field, 8K detail.

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Silence isn’t empty here it’s heavy with waiting.

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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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