Take the face from the input picture

Image
Image
Take the face from the input picture

Take the face from the input picture

Tested & Verified Photography Commercial License
Basic Prompt

An ultra-naturalistic portrait inspired by an accidental iPhone front-camera selfie: big, gentle doe-like eyes with long lashes, warm sleepy gaze looking slightly off-frame. Straight, medium-long dark brown hair with a middle part and soft layered ends falls naturally past the chest. Small delicate nose, naturally full lips with a soft pout, and a calm, dreamy expression quiet smile, as if lost in thought, utterly unposed. The image retains subtle imperfections: slight motion blur, uneven indoor lighting with mild overexposure on the forehead and cheekbone, and casual framing that feels impulsive and intimate. Enhanced with refined natural shaping around the neckline for graceful definition and subtle volume never retouched, never artificial. Shot on iPhone 14 front camera simulation, shallow depth, soft ambient light from a nearby window, muted skin tones, authentic bedroom ambiance.

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This isn’t a polished portrait it’s a stolen moment of quiet presence, elevated with care but never staged.

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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 Photography
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: Feb 2026 Reproducibility Score: 98%

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