Picture a dog portrayed

Image
Image
Picture a dog portrayed

Picture a dog portrayed

Tested & Verified Photography Commercial License
Basic Prompt

A dog portrayed in the artistic essence of Qi Baishi’s ink wash painting rendered with fluid, spontaneous brushstrokes that capture its playful spirit and agile form. Minimal yet expressive lines define its curious eyes, perked ears, and poised stance. Set against a simple background with delicate ink-washed plum blossoms, bamboo stalks, or a rustic toy, evoking quiet charm. The composition embraces negative space, whimsy, and the beauty of everyday life, honoring Qi Baishi’s legacy of poetic simplicity. --ar 2:3 --v 5.2

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This artwork channels the spirit of Qi Baishi, the master of Chinese literati painting, who could evoke an entire personality with a single stroke of his brush. Here, the dog is not merely drawn it is summoned.

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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 2:3
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: Jan 2026 Reproducibility Score: 98%

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