A sample prompt of what you can find in this page
Prompt by 8ea3df5c026

Color palette: Deep blues and charcoals prompts

very few results

5 months ago

[Image Type: Ultra-realistic, high-resolution color photograph / Modern digital portrait] of Antoine Lavoisier, captured with sharp focus and intricate detail, as if taken by a professional photographer using a contemporary digital camera. Overall Photographic Style: - Lighting: Natural, soft, and sophisticated studio lighting or natural daylight, emphasizing realistic skin tones and subtle shadows that define facial contours. - Depth of Field: Shallow depth of field to keep Antoine Lavoisier in crisp, sharp focus while gently blurring the background. - Color Palette: Natural and balanced, reflecting realistic skin undertones, hair colors, and fabric textures. - Sharpness & Detail: Extreme sharpness on facial features, revealing individual pores, very subtle lines, and distinct hair strands. Subject Details (Antoine Lavoisier): - Age: Depicted in his prime to mature years (late 30s to early 50s), appearing refined and intelligent. - Expression: Calm, composed, and highly intelligent. His gaze is direct and thoughtful, suggesting deep intellect. - Face Shape: More rounded, maintaining his noble and balanced appearance. - Skin Tone: Fair to light complexion with realistic, healthy skin undertones. - Hair: - Color: A distinguished shade of powdered grey or white, with hints of light brown beneath. - Style: Styled in a voluminous, tightly curled wig or coiffure, pulled back from the forehead and sides. - Eyes: - Color: Clear light blue or bright blue. - Shape: More rounded at the center, giving a subtly softer gaze. - Eyebrows: Thin to medium density, neatly arched, and light-colored. - Nose: Prominent, straight, and well-proportioned. - Mouth and Lips: Medium fullness, slightly pursed, with a muted natural pink tone. - Chin: Well-formed, slightly rounded. - Distinguishing Features: The powdered wig and refined expression conveying scientific rigor. Body and Clothing Details: - Posture: Dignified and upright. - Clothing: Formal 18th-century attire with modern realism. - Tailored Coat: Dark-colored, rich fabric (e.g., deep charcoal grey, dark brown, or muted deep red/maroon). - Shirt/Cravat: White linen dress shirt with ruffles at the front (jabot) and a neatly tied white cravat. Background: - Style: Simple, elegant, softly out-of-focus background (e.g., blurred study, dark textured wall, muted professional backdrop). - Color Tone: Dark grey, deep brown, rich dark green, or subtle gradient. Overall Mood/Atmosphere: Intellectual, pioneering, distinguished, and profound, conveying his status as a foundational figure in chemistry.

5 months ago

"High-Quality Digital Portrait of Young Amedeo Avogadro" Image Type: Ultra-realistic digital portrait, rendered with the clarity and detail of a modern high-resolution digital photograph. Overall Photographic Style: Classic, dignified portraiture, conveying an intellectual and serious demeanor. Lighting: Soft, even studio lighting from the front-side (e.g., upper-left), creating gentle highlights on the forehead and cheekbones, with subtle, soft shadows to add depth. Depth of Field: Shallow depth of field to ensure sharp focus on Avogadro's face and upper body, with a softly blurred background. Color Palette: Natural, balanced, and historically appropriate colors for skin, hair, eyes, and clothing. Subject Details (Amedeo Avogadro - Younger depiction, approximately 35-50 years old): Gender and Age: A European male, appearing to be in his late 30s to early 50s. Complexion: Fair skin, smooth and clear, with a healthy, subtle tone. Hair: Dark brown, relatively short, dense, and slightly wavy/curly. Styled with natural volume, possibly a subtle parting, and combed towards the sides and slightly back from the forehead. Hair appears full above the ears. Facial Hair: Distinctive, full, and slightly prominent sideburns that extend down to the lower cheek/jawline. They are well-groomed and neatly trimmed, dark brown or black, connecting smoothly to the hairline. No mustache or beard. Eyes: Dark (likely dark brown or deep hazel), medium-sized, with a serious, contemplative, and intelligent gaze. They should convey a sense of deep thought. Eyebrows: Moderately thick, dark, and naturally arched, matching hair color. Nose: Prominent and long, with a relatively straight bridge and a distinct, slightly rounded tip that might appear slightly broader or more bulbous at the end. Mouth and Lips: Thin to medium lips, forming a tight, serious, and composed line. The expression is neutral or slightly stern, indicating intense focus. Jaw and Chin: A well-defined but not overly sharp jawline, contributing to a somewhat elongated lower face. The chin is slightly pointed or rounded, proportionate to the nose. Forehead: High and broad, with a hint of natural wrinkles consistent with age and contemplation. Facial Pose/Expression: Head turned slightly to the viewer's right (subject's left), with a direct and focused gaze. The overall expression should be one of deep intellectual engagement. Clothing Details: Outerwear: A dark-colored (e.g., deep charcoal gray, black, or dark navy) formal, high-collared coat typical of early 19th-century academic or professional attire. The fabric should appear rich and textured (e.g., fine wool). Inner Garments: A high, stiff white standing collar (part of a shirt or cravat) visible, possibly with a neatly folded or tied cravat underneath the coat's collar. Background & Composition: Background: Simple, plain, and elegant, such as a smooth, graduated dark grey, dark brown, or muted deep blue wall, perhaps with a subtle vignette effect to enhance focus on the subject. Composition: A classic bust shot or upper-torso portrait, centered to highlight the face and upper body. Ample clear space around the subject for a clean, professional aesthetic suitable for academic presentations. Technical & Quality Aspects (for AI Model Agnostic Use): Resolution: High-resolution (e.g., 8K or highest available), ensuring extremely sharp and clear details. Detail Level: Emphasize extreme detail for hair strands, skin texture (realistic pores, subtle lines if any), facial hair, and fabric weave. Photorealism: Achieve a very high degree of photorealism, as if captured by a professional modern digital camera lens. Consistency: The use of precise descriptive terms aims to make the output consistent across various AI models.

6 days ago

Ultra-realistic cinematic concept art. A Moroccan man in his late 20s — clean-shaven, sharp jawline, medium taper fade with short buzz cut — sits powerfully on a brutalist throne made from cracked concrete, scorched books, rusted rebar, shattered satellite dishes, and melted tech debris. His gaze is direct, heavy, serious — full of rage, loss, and pride. His posture is grounded, kinglike, a man forged by betrayal, not crowned by privilege. He wears a modern Moroccan warrior-king outfit: a long charcoal-black trench coat made from military fabric, faded gold zellige embroidery lining the cuffs and edges. Beneath, a worn cracked bulletproof vest. His matte-black pants have rugged metal strap accents, and dusty combat boots show battlewear. Over his shoulder, a torn deep red cloak — like a fallen flag turned royal cape. A rusted metallic star medal is pinned to his chest. His fingers are covered with chipped steel rings — no shine, just scars. A fractured crown of gold and iron rests on his head — dented, sharp, powerful. Not ceremonial, but forged from ruin and defiance. It’s heavy, symbolic — a burden earned. Background: Ruined Moroccan cityscape — crumbling domes, broken concrete walls, twisted rebar, burnt-out cars, and collapsed towers. A half-burned Moroccan flag hangs in the back, fluttering from a broken wall. The sky is layered with storm clouds — ash grey, storm blue, deep purples. A golden-orange light pierces the clouds in the distance like hope. Ash particles drift in the foreground, cinematic. Typography: “Trône sur les Ruines” in large cracked metallic gold serif font — clean but weathered. Top left or bottom right. Regal, minimal, poetic. Color Palette: Coal black, ash grey, Moroccan red, storm blue, bronze gold, burnt orange, dusty beige. Mood: Royalty born from survival. Pain turned into power. Cinematic, violent, majestic, tragic. Style: Ultra-detailed, dramatic lighting, high contrast, hyper-realistic rendering. Poster-quality. Influenced by Yeezus, The Blueprint, LiveLoveA$AP, and French war photography. -- full body shot, cinematic composition, wide angle, throne fully visible, Moroccan flag visible in background, apocalyptic setting, dramatic shadows, golden light, storm clouds, ash drifting, rule of thirds framing

1 month ago

# Keeps 589 bright, boosts jewelry shine, replaces background, and maps to Casinofi duotone. import cv2, numpy as np from google.colab import files from PIL import Image # Upload your image when prompted up = files.upload() fn = list(up.keys())[0] img_bgr = cv2.imdecode(np.frombuffer(up[fn], np.uint8), cv2.IMREAD_COLOR) # --- Palette (BGR) --- HEX = lambda h: (int(h[5:7],16), int(h[3:5],16), int(h[1:3],16)) SHADOW = np.array(HEX("#0F1011"), np.float32) MID = np.array(HEX("#8E7A55"), np.float32) HILITE = np.array(HEX("#E6D2A1"), np.float32) HILITE_PLUS = np.array(HEX("#EBDDB7"), np.float32) # extra-bright cream for 589 # --- Helper: gradient map (shadow -> mid -> highlight) --- def gradient_map(gray01): g = gray01[...,None] t1 = np.clip(g/0.5, 0, 1) t2 = np.clip((g-0.5)/0.5, 0, 1) low = SHADOW*(1-t1) + MID*t1 high = MID*(1-t2) + HILITE*t2 return np.where(g<=0.5, low, high) hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV) # --- Masks --- # Background (yellow) range bg_mask = cv2.inRange(hsv, (15, 120, 120), (40, 255, 255)) # tune if needed # Shirt (blue) range – helpful for separate contrast if you want shirt_mask = cv2.inRange(hsv, (95, 80, 40), (130, 255, 255)) # Numbers “589” (white-ish areas on shirt) gray = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY) num_mask = cv2.threshold(gray, 210, 255, cv2.THRESH_BINARY)[1] # bright white # Jewelry (gold/yellow highlights) jew_mask = cv2.inRange(hsv, (12, 60, 120), (30, 255, 255)) # gold tones # Clean masks a bit def clean(m, k=3): kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (k,k)) m = cv2.morphologyEx(m, cv2.MORPH_OPEN, kernel, iterations=1) m = cv2.morphologyEx(m, cv2.MORPH_CLOSE, kernel, iterations=1) return m bg_mask = clean(bg_mask, 5) shirt_mask= clean(shirt_mask, 5) num_mask = clean(num_mask, 3) jew_mask = clean(jew_mask, 3) # --- Step 1: Replace background with deep charcoal --- out = img_bgr.copy() out[bg_mask>0] = SHADOW # --- Step 2: Convert subject to Casinofi duotone --- # Work on non-background regions subj = out.copy() subj_mask = (bg_mask==0).astype(np.uint8)*255 subj_gray = cv2.cvtColor(subj, cv2.COLOR_BGR2GRAY).astype(np.float32)/255.0 mapped = gradient_map(subj_gray).astype(np.uint8) mapped = cv2.bitwise_and(mapped, mapped, mask=subj_mask) bg_area = cv2.bitwise_and(out, out, mask=bg_mask) out = cv2.add(mapped, bg_area) # --- Step 3: Boost numbers “589” to brighter cream and keep edges crisp --- num_rgb = np.zeros_like(out, dtype=np.uint8) num_rgb[:] = HILITE_PLUS num_layer = cv2.bitwise_and(num_rgb, num_rgb, mask=num_mask) out = cv2.bitwise_and(out, out, mask=cv2.bitwise_not(num_mask)) out = cv2.add(out, num_layer) # Optional: thin dark stroke around numbers edges = cv2.Canny(num_mask, 50, 150) stroke = cv2.dilate(edges, np.ones((2,2), np.uint8), iterations=1) out[stroke>0] = (out[stroke>0]*0 + SHADOW*0.9).astype(np.uint8) # --- Step 4: Jewelry shine (Screen-like brighten in cream) --- # Create a cream layer and blend additively where jewelry mask is j_layer = np.zeros_like(out, dtype=np.float32) j_layer[:] = HILITE j_mask_f = (jew_mask.astype(np.float32)/255.0)[...,None] out_f = out.astype(np.float32) out = np.clip(out_f + j_layer*0.35*j_mask_f, 0, 255).astype(np.uint8) # --- Step 5: Gentle contrast pop on subject only --- subj_mask3 = cv2.merge([subj_mask, subj_mask, subj_mask]) subj_pix = np.where(subj_mask3>0) sub = out.astype(np.float32) sub[subj_pix] = np.clip((sub[subj_pix]-20)*1.08 + 20, 0, 255) out = sub.astype(np.uint8) # Save cv2.imwrite("output_casinofi.png", out) files.download("output_casinofi.png") print("Done. Download output_casinofi.png")