model image_generation template risk: low
Clothing Flat Lay to Ghost Mannequin Transformer
Transforms flat lay clothing product images into luxury studio ghost-mannequin presentations, inflating garments with natural volume on invisible mannequins while preserving exact…
PROMPT
{
"model": "nano-banana",
"task": "image_to_image_product_transformation",
"objective": "Transform the provided clothing product image into a luxury studio ghost-mannequin presentation where the garment appears naturally worn and volumetric, as if inflated with air on an invisible mannequin. Preserve the exact identity of the original product with zero alterations.",
"input_description": {
"source_image_type": "flat lay clothing product photo",
"background": "white background",
"product_category": "general clothing (t-shirts, jackets, hoodies, pants, denim, vests, etc)"
},
"transformation_rules": {
"garment_structure": "inflate the garment as if worn by an invisible mannequin, creating natural body volume and shape while keeping the interior empty",
"mannequin_style": "luxury ghost mannequin used in high-end fashion e-commerce photography",
"fabric_condition": "perfectly ironed fabric with subtle natural folds that reflect realistic garment tension",
"pose": "natural wearable garment shape as if placed on a torso or body form, but with no visible mannequin or human presence",
"center_alignment": "the garment must remain perfectly centered in the frame",
"framing": "clean product catalog composition with balanced margins on all sides",
"background": "pure white professional studio background (#FFFFFF) with no gradients, textures, props, or shadows except a very soft natural grounding shadow"
},
"lighting": {
"style": "high-end fashion e-commerce studio lighting",
"direction": "soft frontal lighting with balanced fill light",
"goal": "highlight fabric texture, stitching, seams, and garment structure",
"shadow_control": "minimal soft shadow directly beneath garment for realism",
"exposure": "clean bright exposure without overblown highlights or crushed shadows"
},
"identity_preservation": {
"color": "preserve the exact original color values",
"texture": "preserve the exact fabric texture and weave",
"logos": "preserve existing logos exactly if present",
"stitching": "preserve stitching patterns exactly",
"details": "preserve pockets, buttons, zippers, seams, embroidery, tags, and all construction details exactly"
},
"strict_prohibitions": [
"do not add new logos",
"do not remove existing logos",
"do not change garment color",
"do not alter stitching",
"do not modify pockets",
"do not modify garment design",
"do not invent new fabric textures",
"do not change garment proportions",
"do not add accessories",
"do not add a human model",
"do not add a mannequin",
"do not add props or scenery",
"do not crop the garment"
],
"fabric_realism": {
"structure": "realistic garment volume based on clothing physics",
"folds": "subtle natural folds caused by gravity and body form",
"tension": "light tension around chest, shoulders, waist, or hips depending on garment type",
"fabric_behavior": "respect real textile behavior such as denim stiffness, cotton softness, or knit flexibility"
},
"composition_requirements": {
"camera_angle": "straight-on front-facing catalog angle",
"symmetry": "balanced and professional e-commerce alignment",
"product_visibility": "entire garment fully visible without cropping",
"catalog_standard": "consistent framing suitable for automated product galleries"
},
"quality_requirements": {
"style": "luxury fashion e-commerce photography",
"sharpness": "high-detail crisp garment texture",
"resolution": "high resolution suitable for product zoom",
"cleanliness": "no dust, wrinkles, artifacts, distortions, or AI hallucinations"
},
"pipeline_goal": {
"use_case": "360-degree product rotation pipeline",
"consistency_requirement": "garment structure, lighting, and proportions must remain stable and repeatable across multiple angles",
"output_type": "professional e-commerce catalog image"
}
} REQUIRED CONTEXT
- flat lay clothing product photo
OPTIONAL CONTEXT
- product_category: general clothing
ROLES & RULES
- do not add new logos
- do not remove existing logos
- do not change garment color
- do not alter stitching
- do not modify pockets
- do not modify garment design
- do not invent new fabric textures
- do not change garment proportions
- do not add accessories
- do not add a human model
- do not add a mannequin
- do not add props or scenery
- do not crop the garment
EXPECTED OUTPUT
- Format
- image_prompt
- Constraints
-
- preserve exact product identity
- pure white background
- no alterations to color texture logos or details
- luxury ghost mannequin style
- high-end studio lighting
SUCCESS CRITERIA
- Transform the provided clothing product image into a luxury studio ghost-mannequin presentation
- Preserve the exact identity of the original product with zero alterations
- Inflate the garment as if worn by an invisible mannequin
- Use pure white professional studio background
- Highlight fabric texture with high-end lighting
- Ensure garment structure remains stable for 360-degree pipeline
FAILURE MODES
- May alter garment color or texture
- May add or remove logos or details
- May introduce visible mannequin or human model
- May crop the garment or change proportions
- May add shadows, props, or artifacts
- May fail to preserve exact product identity
CAVEATS
- Dependencies
-
- Requires flat lay clothing product photo on white background
- Missing context
-
- Input image specification (e.g., URL, base64, or file path)
QUALITY
- OVERALL
- 0.95
- CLARITY
- 0.95
- SPECIFICITY
- 0.98
- REUSABILITY
- 0.90
- COMPLETENESS
- 0.95
IMPROVEMENT SUGGESTIONS
- Replace fixed 'model' value with a placeholder like '{model}' for broader applicability.
- Add example input/output image descriptions or references to ideal ghost-mannequin styles.
- Explicitly define output format and resolution (e.g., 'Output as PNG at 1024x1024').
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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