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Prompts Avant-Garde Fashion Portrait with Ghost Motion Effect

model image_generation user risk: low

Avant-Garde Fashion Portrait with Ghost Motion Effect

Prompts generation of an ultra-realistic 8K cinematic studio portrait from mid-thigh up of a figure in oversized textured bomber jacket, cargo pants, and white T-shirt against vibr…

PROMPT

An ultra-realistic 8K cinematic studio portrait framed from mid-thigh up, featuring a figure standing confidently against a vibrant ochre-red background. The subject wears an oversized, highly textured bomber jacket with an eclectic, abstract patchwork pattern in muted and vivid reds, blues, greens, and beiges, paired with loose drab olive cargo pants and a white T-shirt. Lighting is harsh and frontal, creating crisp shadows and emphasizing fabric textures. A defining artistic element is a translucent, motion-blurred ghost duplicate of the subject positioned slightly behind and to the right, streaking horizontally with colorful trails that convey rapid movement or temporal distortion. The background remains uniform but subtly graded, adding depth without distraction. Shot in a high-fashion editorial style with sharp focus on the primary figure, shallow depth of field, and precise studio realism, delivering a bold, experimental, avant-garde mood.

EXPECTED OUTPUT

Format
image_prompt

CAVEATS

Missing context
  • Intended AI image generator or model
  • Aspect ratio or resolution specifications
  • Style weights or emphasis parameters

QUALITY

OVERALL
0.75
CLARITY
0.95
SPECIFICITY
0.98
REUSABILITY
0.20
COMPLETENESS
0.95

IMPROVEMENT SUGGESTIONS

  • Introduce placeholders for key elements like [clothing_description], [background_color], [artistic_effect] to enhance reusability.
  • Add explicit parameters such as --ar 2:3 or --v 6 for Midjourney compatibility.
  • Specify target medium or post-processing if applicable.

USAGE

Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.

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