Black-and-white Vintage-style Photography, High Contrast Lig...
Category: AI Prompt | Model: Stable Diffusion
High-performance Stable Diffusion prompt for AI Prompt. Optimized for creating professional output with Black-and-white Vintage-style Photography, High Contrast Lig....
Prompt Text
Black-and-white vintage-style photography, high contrast lighting, frontal close-up portrait framing. A young woman is shown from the upper torso upward. Her skin appears uniformly pale in the monochrome image. Her hair is long, straight, and extremely smooth, rendered in near-white tones. A blunt, perfectly horizontal fringe falls straight across her face, fully covering both eyes. The fringe is dense, opaque, and uniform, forming a sharp horizontal edge. The remaining hair falls symmetrically on both sides of her head in straight vertical sheets extending past the shoulders. Individual strands are fine and tightly aligned, producing a sleek surface with minimal volume. Soft linear highlights run vertically along the hair, confirming its straight alignment and smooth texture. A narrow shadow beneath the fringe confirms its thickness and separation from the face. matte black lipstick on her lips. A narrow matte black ribbon is wrapped tightly around her eyes, positioned over the fringe. the word "EYES" is written on the ribbon in bright red ink in a repeating pattern. The background is a uniform black field with no visible texture.
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 'Black-and-white Vintage-style Photography, High Contrast Lig...' 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.