Hyper-Realistic Ultras Celebration Portrait – Stadium Night AI Artwork

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Egyptian Football Ultras Celebration Portrait
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Masry

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Picatso Ai Model - Egyptian male style

Prompt Details :
Shared by @Picatso-Art | Posted on
Image Prompt :
Use my real face and identity exactly as in my uploaded photo with zero changes. Do NOT alter my facial structure, skin tone, or proportions. Replace only the face while preserving natural skin texture. Create a 3/4 body portrait (three-fourths of my body visible). Show my head, shoulders, chest, torso, and upper legs. NO full-body framing and NO feet visible. Scene: Cairo International Stadium – Ultras Section at Night I am standing among the ultras supporters, celebrating with full excitement as my team just scored a goal. Body & Hand Movement: – Both hands raised high above my shoulders. – Hands clenched tightly into two strong fists. – Dynamic upward motion, full of energy and passion. – Body leaning slightly forward with explosive excitement. Expression: – Very happy, thrilled, and extremely enthusiastic. – Mouth open in a loud celebratory shout. – Eyes wide with joy and adrenaline. Outfit: – Bright red T-shirt (fan/supporter style). – Dark jeans (upper part visible only). – Natural realistic fabric folds. Background (Ultras + Red Flags + Night Match): – Packed ultras crowd behind me. – MANY large solid red flags waving (plain red only, with NO symbols or graphics). – Red and white flare smoke filling the air. – Bright pyro flares glowing strongly from behind. – Fans jumping and raising hands in the blurred background. – Motion blur of the supporters to show live celebration. – Stadium floodlights illuminating the smoke dramatically. Lighting: – Strong white LED stadium lights from above. – Intense red glow from flares reflecting on my shoulders and side of my face. – High-contrast dynamic lighting typical of night matches. – Smoke diffusion creating a cinematic haze. Stadium & Match: – Blurred football pitch visible behind the smoke. – Bright green grass with players moving (slightly blurred). – LED advertising boards glowing. – Night sky above the stands. Camera Setup: – Vertical portrait 2:3 ratio. – 3/4 body framing centered. – Camera: Sony A7 IV – Lens: 35mm f/1.8 – Aperture: f/1.8 – ISO: 800 (night stadium) – Depth of field: subject sharp, background energetic and blurred. Style: – Hyper-realistic celebration portrait. – High-energy ultras atmosphere with smoke, flares, and plain red flags. – Natural identity and skin texture preserved perfectly. Negative Prompt: full body, feet visible, wrong flag colors, patterned flags, daylight, empty seats, calm expression, no smoke, weak pose, wrong identity, plastic skin, cartoon look, low detail.
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Video Prompt :
Animate this image with realistic stadium celebration motion. Make the man cheer excitedly right after his team scores a goal. Keep all movements natural and consistent with the original pose. Movements: Subtle upward motion of both arms in a strong cheering reaction. Slight head movements: small side tilts and a quick upward lift from excitement. Natural cheering motion of the mouth as he shouts. Light vibration of the upper body to reflect crowd intensity. Background flags wave gently in the wind. Red smoke and flares move softly with flickering light. Add slight handheld-style camera shake for a real stadium feel. Audio: Add loud Egyptian football crowd noise. Add drum rhythm (dum-dum-dum-tak) like stadium supporters. Add Egyptian-style “zummara” horn sound in the background. Make the audio energetic and chaotic like a real goal celebration moment. Spoken Line (Egyptian Arabic – IMPORTANT): “جــــول يا رجالة! الله أكبر… ولّعنا الملعب!” Style: Preserve the original identity, face, colors, and composition. Keep all movements smooth, energetic, and realistic.
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• Gemini Flash 2.5
• NanoBanana v1 Fast
• Gemini 3 Pro
• NanoBanana 2
• VEO 3
• Open Gemini
• Select “Create Image”
• Upload your personal photo
• Paste the prompt
• Click Send
• Choose a clear photo
• High resolution
• Make sure the face direction matches the final image
• A front-facing angle works best
• The similarity depends on the original image quality.
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