Use the reference image and turn all silver to Dark red Prompts

Using Reference image 1, make all White color into Red.

Using Reference image 1, make all Dark Red color into Black.

Using Reference image 1, make all White color into Red.

Using Reference image 1, make all Dark Red color into Black.

Create a Sci-Fi Command uniform. Use the reference image and turn all silver to Dark red. The color of the uniform is Black top with Red trim, and black pants with a dark Red stripe down the side. Just show one uniform male and one uniform female. Females' hair must not show on the sides or in front of the collar and shoulders. Do not show a belt with a uniform.

Using the input image, change the dark coloured areas to bronze, and update all occurrences from 101 to 102.

Using Reference image 1, make the yellow eye color red.

reshape image into blood and fire

Using the uploaded photo, change the green, and blue areas to bronze, leaving the white / gray. Change all occurrences of 101 to 102.

Take the generated image and provide some slight bronze highlighting.

haz la imagen uno con las tonilidades y coherencia de colo de la imagen 2 no uses negros

make the reference image naked

use my reference image

Using the uploaded photo, change the green colour to bronze, leaving the white / gray background, and make sure all occurrences of 101 are replaced with 102.

# 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")

Using the uploaded photo, change the agree colour to bronze, and make sure all occurrences of 101 are replaced with 102.

photograph of dark red hair, black dress, silver hair, in the style of dark orange and dark emerald, post-apocalyptic, wet-on-wet blending, manga style, grid, timeless beauty, dark white and light orange --ar 69:128 --s 750 --niji 5

Using the input image, change the bronze colour to silver, 102 to 103, and Level 1 to Level 2.

Combine the two images, meaning the colors, the metallic detail, should be added to the first image of the woman

Using the input image, change the outer rim to a tarnished / aged rose gold colour, change 102 for a star in a tarnished / aged rose gold colour, change Level 2 for Certified, and change flower / leaf print for stars in the same rose gold colour.

Using the input image, change the outer rim to a tarnished gold colour, change any occurrence of 102 to 103, and Level 2 to Level 3

create refrence image

recreate image and make it brighter

hyperrealistic image YBA, red color, black background, dramtic light