Heartbreak AI Portrait Prompt with Fiery Broken Heart

Transform the person in this uploaded photo into a dramatic emotional heartbreak scene portrait. Keep the face 100% identical to the uploaded photo — same face structure, skin tone, and features exactly matched, don't change the identity. Dress me in a bright red knit sweater, white heavily distressed ripped jeans, and white sneakers, accessorized with a small red tilak on the forehead, a delicate silver pendant necklace, and a red thread bracelet on the right wrist. Position the subject sitting cross-legged on a dark dirt field, looking downwards with a sad, serious expression, with the right hand gently pouring sand over a bright, glowing, fiery cracked broken heart shape that is enclosed within a circular rope frame on the ground, surrounded by scattered red rose petals. Set the background as a vibrant golden-hour sunset landscape with the sun low on the horizon, silhouetted distant trees, and a flock of birds flying across a dramatic cloudy sky. In the top right section of the sky, blend a large, ethereal double-exposure faded overlay portrait of a crying young woman with visible tears, wearing traditional jhumka earrings and a red outfit. Add three text elements: first, the Hindi text "Tu jeet kar ro padegi, 💔" (You will cry after winning) positioned in the top-left sky, written as "तु जीत कर रो पड़ेगी, 💔" in a casual bold font where "जीत" is yellow and the rest is white; second, the Hindi text "Hum tujhse aise haarenge .!." (I will lose to you in such a way) placed directly below the first line, written as "हम तुझसे ऐसे हारेंगे .!." with "हारेंगे" in red and the rest in white, underlined by a stylized red brush stroke; third, the text "bewafa" across the center of the red sweater in medium-sized white lowercase letters. Render all text exactly as written — same spelling, same position, same font style and color, with no extra words and no changed letters. 8K resolution, cinematic lighting, high dynamic range, hyper-detailed, DSLR quality, 4K UHD, photorealistic, dramatic warm emotional color grading.