A sample prompt of what you can find in this page
Prompt by Grayve

Eye-Level Shot prompts

very few results

2 days ago

Ultra HD landscape photo, shot in an industrial parking lot on a bright overcast day. A wide-angle, eye-level shot showing two men facing each other in front of their work vehicles. Only two people, only two vehicles, no one else in the scene. Setting includes a beige/gray industrial building, two roll-up doors, and asphalt ground. Photorealistic style, cinematic lighting. Man #1 (Left Side) Height: 6’6”, thin muscular build Hair: reddish-brown, short fade haircut brushed back to the side Facial hair: squared-off, tapered beard Clothing: tucked-in black golf shirt, light blue jeans, brown belt, brown work boots Accessories: holding two large blue water cooler jugs, one in each hand Expression: calm but serious Position: Standing in front of a white Mercedes Sprinter van with CCS logo on the back doors The Sprinter has two silver ladder racks on top holding yellow extension ladders and an orange safety beacon mounted on top. A speech bubble above him says: “We need to heal.” Man #2 (Right Side) Height: 6’1”, husky/slightly chunky build Hair: gray, same fade haircut but clean-shaven face Clothing: untucked dark purple golf shirt, dark blue jeans, tan Kangol hat, Skechers running shoes Expression: sad and introspective, looking toward Man #1 Position: Standing in front of a black Chevy Equinox SUV with a CCS logo on the side door. Composition Notes The Sprinter and Equinox are parked side by side but slightly angled toward the camera. Both vehicles and men are clearly visible. Lighting: natural, slightly diffused daylight (no harsh shadows). Photorealistic texture and detail on clothing, vehicles, and asphalt. No extra people, objects, or logos except “CCS.”

8 months ago

"A hyper-realistic, ultra-detailed full-body and close-up character sheet of a stunning British woman, presented in five distinct poses within the same 21:9 frame. The layout is divided into two sections: the left side containing three full-body views and the right side featuring two close-up face shots. Each pose is evenly spaced, ensuring no overlap, maintaining complete visibility from head to feet, and preserving accurate facial details. The camera maintains a neutral eye-level position for full-body shots and a straight-on angle for close-ups to capture precise details without distortion. Left Side (Full-Body Views) Front View (Leftmost Position): She stands naturally, facing directly toward the camera, arms at her sides, feet flat on the ground. Side Profile (Center Position): A full side view, body in profile, but head turned slightly forward to showcase facial features while maintaining body proportions. Back View (Rightmost Position): Facing away from the camera, standing naturally, highlighting the back, shoulders, and leg proportions. Right Side (Close-Up Face Views, Arranged Vertically) Top Right (Close-Up Front View): A tightly cropped headshot, directly facing the camera, capturing symmetrical facial features, deep brown eyes, and full lips. Bottom Right (Close-Up Side Profile): A sharp side-angle close-up emphasizing the jawline, high cheekbones, and nose structure. She has a symmetrical, captivating face with deep brown almond-shaped eyes, naturally arched eyebrows, and full lips. Her dark brown wavy hair is tied in a messy bun, with loose strands framing her face. Her athletic physique is well-proportioned, featuring a full, balanced bust, a defined waist, elegant shoulders, toned arms, and thick thighs. She stands 175 cm tall and wears a black deep V-neck sports bra, high-waisted black yoga pants, and white sneakers. She has no makeup, ensuring a natural look. The lighting is soft and natural, casting subtle highlights and shadows to enhance depth and realism. The clean white background ensures clarity, while HDR 4K resolution captures ultra-detailed textures and perfectly balanced skin tones, achieving a highly cinematic effect. The 21:9 ultra-wide aspect ratio maintains accurate proportions, ensuring no cropping or distortion, making it an ideal dataset for LoRA training."**