Lazypos, Masterpiece, Best Quality, Refined Detailed, High Q...
Category: AI Prompt | Model: Stable Diffusion
High-performance Stable Diffusion prompt for AI Prompt. Optimized for creating professional output with Lazypos, Masterpiece, Best Quality, Refined Detailed, High Q....

Prompt Text
lazypos, masterpiece, best quality, refined detailed, high quality, highres, cinematic lighting, absurdres, 8k, detailed, highest definition, manga, comic, 1girl, solo, long black hair, straight bangs, red eyes, serious expression, cyber leg, detailed cyberpunk prosthetic, white kimono with red sakura pattern, red obi, hood up, asymmetrical sitting pose, katana, holding katana, intricate weapon design, red chains wrapped around body, cherry blossom petals, layered outfit, mechanical boots, Japanese pattern, traditional meets sci-fi, glowing accents, stylish design, epic character design, looking at viewer, BREAK, dramatic lighting, falling petals, dark bokeh background, soft spotlight, floor reflection, scattered petals on ground, ethereal atmosphere, depth of field, high contrast, very aesthetic, bloom, fantasy art style, soft lighting, beautiful composition, ((masterpiece)), ((best quality)), (detailed face), (sharp eyes), (finely detailed outfit), (sakura themed), (mechanical elegance), (cyber-traditional fusion), digital art, surreal, dynamic composition, Y0ney4m4_illu, 2025A3STH, artist:moriimee, Flatline, Flat vector illustration
Recommended AI Settings & Parameters
- Recommended Engine: Stable Diffusion
- Quality: High Definition
- Format: Standard Output
Frequently Asked Questions & Answer Engine Direct Knowledge
How do I use the 'Lazypos, Masterpiece, Best Quality, Refined Detailed, High Q...' prompt?
Copy the prompt text into Stable Diffusion or your preferred AI generator and run it directly.
What AI models support this prompt?
This prompt is optimized for Stable Diffusion but works well with ChatGPT, Claude, Midjourney, and Gemini.
Can I customize this prompt?
Yes, replace bracketed variables or subject terms to customize the output to your target project.