Four-Mood Single-Eye Portraits AI Image Prompt
Using the uploaded image as reference, palm close to the lens creating foreground bokeh, single-eye close-up, shooting angle, pose, lighting, depth of field and emotional atmosphere. Keep the same face, facial proportions, long black hair, realistic skin texture and natural makeup, with a few loose strands falling at the sides of the face. The face should not look stiff; the eyes should feel real and emotional, not weird, avoid over-smoothing. Generate four separate images, not collages: Happy: bright eyes, natural smile, warm and soft atmosphere; Dread: tense pupils, horrified eyes, slightly open lips, cold and suspenseful atmosphere; Anger: slight frown, sharp eyes, tight lips, obvious pressure; Sad: moist and low eyes, corners of the mouth slightly drooping, quiet melancholy atmosphere. Each image includes a small amount of minimalist English typography as visual decoration, thin font, wide letter spacing, placed in the blank areas of the frame, not covering the subject. English titles respectively: SMILE / DREAD / ANGER / SAD. Overall style: cinematic emotional portrait, magazine cover texture, shallow depth of field, strong foreground bokeh, natural skin details, realistic lighting, high-end low saturation, high-definition details, 9:16 vertical. Negative requirements: do not change the identity of the person, do not generate a different face, no exaggerated expressions, no plastic skin, no extra fingers, no deformed hands, no garbled text, no watermark, no software interface, no collage.
Content: Structure: reference image sets identity; single-eye close-up with palm foreground bokeh; emphasizes angle, pose, lighting, depth; four emotions as separate images, each with minimal English typography; unified cinematic portrait style; 9:16 vertical; includes negative constraints.
Pros: Clear identity lock with four emotion variations; specific negative list for practical control.
Cons: Depends on reference image for face consistency; multi-image task may challenge style uniformity.
Reference image: Obvious dependency on reference image (uploaded image)
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