Duotone background Prompts

# 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")

colored ball, light white and light black, double tone effect --ar 1:2 --stylize 750 --v 6

Spanish farmer + rice double color exposure effect

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines

Spanish farmer + rice double color exposure effect

masterpiece, best quality, absurdres, 3d render, cgi, physically based rendering, global illumination, subsurface scattering, ambient occlusion, cinematic lighting, rim lighting, bounce lighting, soft shadows, subtle bloom, woman, looking at viewer, gentle expression, dreamy gaze, long platinum blonde hair, soft flowing hair, messy strands, light blue eyes, pastel mint dress, ruffled skirt, ribbon belt, asymmetrical stockings, one striped thighhigh, one lace stocking, walking slowly, selfie_pose, , gentle slightly tilted head, candid moment, soft pastel lights, simple background, duotone background, pink and teal lighting contrast, floating petals half side view, high angle

contrasting color palettes highlighting the interplay between light and dark, saturated and muted --ar 3:2 --v 6.0

masterpiece, best quality, absurdres, 3d render, cgi, physically based rendering, global illumination, subsurface scattering, ambient occlusion, cinematic lighting, rim lighting, bounce lighting, soft shadows, subtle bloom, woman, looking at viewer, gentle expression, dreamy gaze, long platinum blonde hair, soft flowing hair, messy strands, light blue eyes, pastel mint dress, ruffled skirt, ribbon belt, asymmetrical stockings, one striped thighhigh, one lace stocking, walking slowly, selfie_pose, , gentle slightly tilted head, candid moment, soft pastel lights, simple background, duotone background, pink and teal lighting contrast, floating petals half side view, high angle

put white background

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines.Smoother lines with beautiful shadows

masterpiece, best quality, absurdres, 3d render, cgi, physically based rendering, global illumination, subsurface scattering, ambient occlusion, cinematic lighting, rim lighting, bounce lighting, soft shadows, subtle bloom, woman, looking at viewer, gentle expression, dreamy gaze, long platinum blonde hair, soft flowing hair, messy strands, light blue eyes, pastel mint dress, ruffled skirt, ribbon belt, asymmetrical stockings, one striped thighhigh, one lace stocking, walking slowly, selfie_pose, , gentle slightly tilted head, candid moment, soft pastel lights, simple background, duotone background, pink and teal lighting contrast, floating petals half side view, high angle

Asian farmer + rice double color exposure effect

put white background

Asian farmer + rice double color exposure effect

red and white background with ripples and matte parts in low lighting

High resolution photo made in gray tones, divided into two parts white and black with a divider in the middle, for the background for text With beautiful even shapes or lines.Very straight lines

foreground: flat green line background: black

Blurred green and yellow background