A structured Image Generation prompt optimized for midjourney. Utilizes a 24mm optical perspective and Warm candlelight ambient illumination at 2400K with gentle highlight rolloff to produce crisp, high-detail results without artificial smoothing.
Image Generation Prompt
Direct Copy & Paste
110 copies
"Image from subject, cinematic wide-angle low-angle tracking shot. Subject is captured in a dynamic, low-centered crouching pose on a longboard, leaning forward with a focused gaze ahead. Wearing a textured {argument name="sweater color" default="burgundy"} knit sweater, light-colored trousers, and a slim backpack with a single strap across the chest. Set on a winding asphalt road with double white lines, surrounded by vast green mountain slopes and steep rocky ridges under a bright, hazy sky. High-contrast color grading featuring warm golden sunlight and prominent lens flares from the upper right, contrasting with deep teal-tinted shadows in the landscape and road. Sharp focus on the subject with intentional motion blur on the road surface and wheels. Subtle analog film grain and high-intensity natural backlighting. Artistic interpretation, prioritize the camera angle, lighting scheme, and color grading over realistic skin tones.", Extreme macro close-up focusing on intricate micro-textures, captured on Canon EOS R5 with RF 50mm f/1.2L USM lens, Dramatic stage spotlighting with subtle airborne particulate illumination, authentic skin micro-textures, true-to-life surface physics, ultra-detailed editorial photography, Profile side angle with rim contour, captured on 24mm wide-angle perspective lens, Warm candlelight ambient illumination at 2400K with gentle highlight rolloff, natural surface physics, 8K ultra-detailed editorial photography --ar 16:9 --v 6.1 --style raw
Ready to paste directly into Midjourney, Flux, or DALL·E to create this image.
Prompt Variations
Tailored versions of this prompt fine-tuned for Midjourney, Flux, DALL·E 3, and alternative styles.
gemini --ar 16:9
"Image from subject, cinematic wide-angle low-angle tracking shot. Subject is captured in a dynamic, low-centered crouching pose on a longboard, leaning forward with a focused gaze ahead. Wearing a textured {argument name="sweater color" default="burgundy"} knit sweater, light-colored trousers, and a slim backpack with a single strap across the chest. Set on a winding asphalt road with double white lines, surrounded by vast green mountain slopes and steep rocky ridges under a bright, hazy sky. High-contrast color grading featuring warm golden sunlight and prominent lens flares from the upper right, contrasting with deep teal-tinted shadows in the landscape and road. Sharp focus on the subject with intentional motion blur on the road surface and wheels. Subtle analog film grain and high-intensity natural backlighting. Artistic interpretation, prioritize the camera angle, lighting scheme, and color grading over realistic skin tones.", Extreme macro close-up focusing on intricate micro-textures, captured on Canon EOS R5 with RF 50mm f/1.2L USM lens, Dramatic stage spotlighting with subtle airborne particulate illumination, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
midjourney --ar 16:9 --v 6.1 --style raw
"Image from subject, cinematic wide-angle low-angle tracking shot. Subject is captured in a dynamic, low-centered crouching pose on a longboard, leaning forward with a focused gaze ahead. Wearing a textured {argument name="sweater color" default="burgundy"} knit sweater, light-colored trousers, and a slim backpack with a single strap across the chest. Set on a winding asphalt road with double white lines, surrounded by vast green mountain slopes and steep rocky ridges under a bright, hazy sky. High-contrast color grading featuring warm golden sunlight and prominent lens flares from the upper right, contrasting with deep teal-tinted shadows in the landscape and road. Sharp focus on the subject with intentional motion blur on the road surface and wheels. Subtle analog film grain and high-intensity natural backlighting. Artistic interpretation, prioritize the camera angle, lighting scheme, and color grading over realistic skin tones.", Extreme macro close-up focusing on intricate micro-textures, captured on Canon EOS R5 with RF 50mm f/1.2L USM lens, Dramatic stage spotlighting with subtle airborne particulate illumination, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
"Image from subject, cinematic wide-angle low-angle tracking shot. Subject is captured in a dynamic, low-centered crouching pose on a longboard, leaning forward with a focused gaze ahead. Wearing a textured {argument name="sweater color" default="burgundy"} knit sweater, light-colored trousers, and a slim backpack with a single strap across the chest. Set on a winding asphalt road with double white lines, surrounded by vast green mountain slopes and steep rocky ridges under a bright, hazy sky. High-contrast color grading featuring warm golden sunlight and prominent lens flares from the upper right, contrasting with deep teal-tinted shadows in the landscape and road. Sharp focus on the subject with intentional motion blur on the road surface and wheels. Subtle analog film grain and high-intensity natural backlighting. Artistic interpretation, prioritize the camera angle, lighting scheme, and color grading over realistic skin tones.", Extreme macro close-up focusing on intricate micro-textures, captured on Canon EOS R5 with RF 50mm f/1.2L USM lens, Dramatic stage spotlighting with subtle airborne particulate illumination, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
chatgpt
"Image from subject, cinematic wide-angle low-angle tracking shot. Subject is captured in a dynamic, low-centered crouching pose on a longboard, leaning forward with a focused gaze ahead. Wearing a textured {argument name="sweater color" default="burgundy"} knit sweater, light-colored trousers, and a slim backpack with a single strap across the chest. Set on a winding asphalt road with double white lines, surrounded by vast green mountain slopes and steep rocky ridges under a bright, hazy sky. High-contrast color grading featuring warm golden sunlight and prominent lens flares from the upper right, contrasting with deep teal-tinted shadows in the landscape and road. Sharp focus on the subject with intentional motion blur on the road surface and wheels. Subtle analog film grain and high-intensity natural backlighting. Artistic interpretation, prioritize the camera angle, lighting scheme, and color grading over realistic skin tones.", Extreme macro close-up focusing on intricate micro-textures, captured on Canon EOS R5 with RF 50mm f/1.2L USM lens, Dramatic stage spotlighting with subtle airborne particulate illumination, authentic skin micro-textures, true-to-life surface physics, 8K ultra-detailed editorial photography
Generation Specs & Guide
Style / Mood
photorealistic
Camera & Lens
{
"camera_angle": "Extreme macro close-up focusing on intricate micro-textures",
"optical_lens": "Canon EOS R5 with RF 50mm f/1.2L USM lens",
"lighting_setup": "Dramatic stage spotlighting with subtle airborne particulate illumination",
"aspect_ratio": "16:9",
"render_engine": "Midjourney v6.1 (--v 6.1 --style raw)"
}
Recommended Model
Midjourney
### 🧠 Prompt Engineering & Structural Breakdown
- **Core Intent**: Achieve precise task completion with zero conversational filler and maximum actionable depth
- **Role & Persona**: Domain expert practitioner with specialized technical insight and pedagogical clarity
- **Context & Assumptions**: Clear input parameters, defined audience proficiency, and stated foundational assumptions
- **Constraints & Boundary Rules**: Strict negative constraints: no vague advice, no unsupported claims, adherence to requested format
- **Output Structure & Format**: Hierarchical markdown organization with bold callouts, ordered steps, and clean tabular data where applicable
- **Verification & Quality Checks**: Self-correcting validation step ensuring all prompt constraints and sub-questions are fully addressed