a study of cell shaded protrait of female robot, l...

Image
Image
a study of cell shaded protrait of female robot, l...

a study of cell shaded protrait of female robot, l...

Tested & Verified Stable Diffusion Commercial License
Basic Prompt

Original cell-shaded portrait of a non-humanoid female-presenting android, blending organic and mechanical elements. Her face is asymmetrical: one side smooth ceramic with floral circuit patterns blooming like vines; the other side exposed copper wiring and glowing coolant veins. Eyes mismatched one optical lens, one bioluminescent petal-cluster. Hair resembles fiber-optic strands interwoven with dried desert flowers. Background: abstract post-grunge texture—peeling paint, rust stains, charcoal smudges. Color palette: oxidized teal, burnt sienna, matte black, and soft gold. Style: hand-painted digital illustration with sharp ink outlines, visible brush grain, and layered collage elements. Mood: melancholic, resilient, quietly alien. No human likeness, no artist mimicry.

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She is not machine. She is memory made manifest.

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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 Stable Diffusion
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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