Ecommerce AI Model Images
When to Use
Use this skill when the user wants to create ecommerce model images from product photos without relying on an existing model photo. Typical requests include:
- Clothing try-on style images, garment-on-model images, robe/dress/top/pants model shots.
- Bag hand-carrying, shoulder-carrying, crossbody, or outfit-match images.
- Accessories wearing images, shoes-on-foot images, beauty/personal-care usage images.
- AI model shots for Taobao, Tmall, 1688, Amazon, Shopee, Temu, Xiaohongshu, Douyin, or social commerce.
- Generate model images for a target audience, such as vacation style, commuter style, young female, mature female,欧美,日韩, Southeast Asia, or minimalist studio.
Use this when the main job is to create a new model shot. Use ecommerce-model-replace-images when the user supplied a model/reference scene to replace. Use ecommerce-pose-variant-images for multiple pose variations of a same model/product setup.
- Required: original product image. Preserve product color, print, shape, logo placement, pattern details, garment silhouette, fabric drape, accessory details, and distinctive features.
- Optional but useful: product category and wearing/use method, such as
罩袍上身, 手提包, 斜挎包, 耳环佩戴, 鞋子上脚, or 护肤使用.
- Optional: model requirements: gender, age range, region/aesthetic, body type, styling, hair, pose, skin tone, and expression. Keep requests respectful and commercially appropriate.
- Optional: platform and scene: white studio, premium studio, beach vacation, street snap, commuting, home, outdoor, Xiaohongshu note cover, Amazon clean model shot, etc.
- Optional: reference images for product fidelity, pose, mood, styling, or scene.
- Optional: output count, size, and format.
Do not invent additional product variants, colors, sizes, bundles, claims, or logos. Do not create sexualized or exploitative model imagery.
Execution
Use $gpt-image-2 through the bundled edit script. Prefer:
python3 "/Users/yunshi/.codex/skills/gpt-image-2/scripts/edit_image.py" \
--prompt-file "<prompt.txt>" \
--image "<product-image>" \
--image "<optional-reference-image>" \
--out-dir "<output-dir>" \
--name "ai-model-01" \
--output-format "png" \
--quality "high" \
--size "1024x1536"
Prompt structure:
Create a marketplace-ready ecommerce AI model image.
Product: preserve image 1 accurately, including color, print placement, shape, silhouette, fabric drape, logos, labels, and distinctive product details.
Model direction: <target model gender/age/aesthetic/body/styling if supplied, otherwise choose a platform-safe commercial model>.
Wearing/use method: <how the product should be worn/carried/used>.
Scene/platform: <studio/lifestyle/platform style>.
Reference usage: use images 2+ only for pose, mood, scene, product fidelity, or styling inspiration.
Composition: product is clearly visible, model pose is natural, anatomy and hands are realistic, fit/scale is believable, clean ecommerce lighting.
Avoid: changed product print/color, hidden product, unrealistic body, distorted hands/face, celebrity/private-person likeness, extra products, fake logos, watermarks, QR codes, unsupported claims.
Result Handling
The script returns JSON. Read local_paths, remote_urls, uploads, and metadata. Save outputs under /Users/yunshi/Downloads/ecommerce-ai-model-images/<short-product-name>-<timestamp>/ and preview the first image when practical.
Failure Handling
- Missing product image: ask for one.
- Missing category/use method: infer conservative defaults only when visible; otherwise ask.
- Product fidelity failure: retry with product image first and stronger preservation language.
- Unsafe model request: refuse or redirect to respectful, platform-safe commercial imagery.
- Script failure: report the JSON error, stderr progress, and smallest next fix.
---
name: ecommerce-ai-model-images
description: 'Generate ecommerce AI model images from product photos and model requirements. Use when the user asks to create clothing try-on style images, bag carrying images, accessory wearing images, beauty usage images, or marketplace-ready AI model visuals with GPT Image 2.'
metadata:
icon: "\U0001F9CD"
title: Ecommerce AI Model Images
companionSkill: gpt-image-2
packageName: '@zjxuyunshi/ecommerce-ai-model-images'
version: 0.0.1
---
# Ecommerce AI Model Images
## When to Use
Use this skill when the user wants to create ecommerce model images from product photos without relying on an existing model photo. Typical requests include:
- Clothing try-on style images, garment-on-model images, robe/dress/top/pants model shots.
- Bag hand-carrying, shoulder-carrying, crossbody, or outfit-match images.
- Accessories wearing images, shoes-on-foot images, beauty/personal-care usage images.
- AI model shots for Taobao, Tmall, 1688, Amazon, Shopee, Temu, Xiaohongshu, Douyin, or social commerce.
- Generate model images for a target audience, such as vacation style, commuter style, young female, mature female,欧美,日韩, Southeast Asia, or minimalist studio.
Use this when the main job is to create a new model shot. Use `ecommerce-model-replace-images` when the user supplied a model/reference scene to replace. Use `ecommerce-pose-variant-images` for multiple pose variations of a same model/product setup.
## Inputs
- Required: original product image. Preserve product color, print, shape, logo placement, pattern details, garment silhouette, fabric drape, accessory details, and distinctive features.
- Optional but useful: product category and wearing/use method, such as `罩袍上身`, `手提包`, `斜挎包`, `耳环佩戴`, `鞋子上脚`, or `护肤使用`.
- Optional: model requirements: gender, age range, region/aesthetic, body type, styling, hair, pose, skin tone, and expression. Keep requests respectful and commercially appropriate.
- Optional: platform and scene: white studio, premium studio, beach vacation, street snap, commuting, home, outdoor, Xiaohongshu note cover, Amazon clean model shot, etc.
- Optional: reference images for product fidelity, pose, mood, styling, or scene.
- Optional: output count, size, and format.
Do not invent additional product variants, colors, sizes, bundles, claims, or logos. Do not create sexualized or exploitative model imagery.
## Execution
Use `$gpt-image-2` through the bundled edit script. Prefer:
```bash
python3 "/Users/yunshi/.codex/skills/gpt-image-2/scripts/edit_image.py" \
--prompt-file "<prompt.txt>" \
--image "<product-image>" \
--image "<optional-reference-image>" \
--out-dir "<output-dir>" \
--name "ai-model-01" \
--output-format "png" \
--quality "high" \
--size "1024x1536"
```
Prompt structure:
```text
Create a marketplace-ready ecommerce AI model image.
Product: preserve image 1 accurately, including color, print placement, shape, silhouette, fabric drape, logos, labels, and distinctive product details.
Model direction: <target model gender/age/aesthetic/body/styling if supplied, otherwise choose a platform-safe commercial model>.
Wearing/use method: <how the product should be worn/carried/used>.
Scene/platform: <studio/lifestyle/platform style>.
Reference usage: use images 2+ only for pose, mood, scene, product fidelity, or styling inspiration.
Composition: product is clearly visible, model pose is natural, anatomy and hands are realistic, fit/scale is believable, clean ecommerce lighting.
Avoid: changed product print/color, hidden product, unrealistic body, distorted hands/face, celebrity/private-person likeness, extra products, fake logos, watermarks, QR codes, unsupported claims.
```
## Result Handling
The script returns JSON. Read `local_paths`, `remote_urls`, `uploads`, and `metadata`. Save outputs under `/Users/yunshi/Downloads/ecommerce-ai-model-images/<short-product-name>-<timestamp>/` and preview the first image when practical.
## Failure Handling
- Missing product image: ask for one.
- Missing category/use method: infer conservative defaults only when visible; otherwise ask.
- Product fidelity failure: retry with product image first and stronger preservation language.
- Unsafe model request: refuse or redirect to respectful, platform-safe commercial imagery.
- Script failure: report the JSON error, stderr progress, and smallest next fix.