Agent Skills
› SamurAIGPT/Generative-Media-Skills
› muapi-ugc-lifestyle-try-on
muapi-ugc-lifestyle-try-on
GitHub生成用户生成的生活方式风格照片，展示人物穿着或使用产品。支持自动选择换装或上下文模型，并优化为自然真实的社交媒体内容。
触发场景
ugc
try on
lifestyle photo
model wearing
outfit photo
安装
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-ugc-lifestyle-try-on -g -y
SKILL.md
Frontmatter
{
"name": "muapi-ugc-lifestyle-try-on",
"slug": "muapi-ugc-lifestyle-try-on",
"version": "1.0.0",
"description": "Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.",
"acceptLicenseTerms": true
}
UGC Lifestyle Try-On
Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.
Inputs
| Name | Type | Required | Default | Description |
|---|---|---|---|---|
product_name |
text | yes | — | The product to feature (e.g. "white oversized hoodie", "blue light blocking glasses", "leather crossbody bag"). |
product_image |
image_url | yes | — | Product image or photo URL to use as reference for the try-on. |
model_description |
text | no | woman, 25-30 years old, natural look, diverse | Description of the model (e.g. "man, athletic build, 20s", "woman, curvy, 30s, warm skin tone"). |
setting |
text | no | casual lifestyle, natural lighting | Scene and mood (e.g. "urban street style", "cozy home morning routine", "gym workout", "coffee shop"). |
platform |
text | no | Target platform — "instagram", "tiktok", "pinterest", "amazon". |
Steps
Submit the plan with TWO steps:
Step 1 — Outfit/Product Try-On
- Try-on generation —
muapi image edit(model=ai-dress-change) if product is wearable clothing, otherwisemuapi image edit(model=flux-kontext-pro-i2i):- For clothing/wearables with
ai-dress-change:- Product:
{{product_image}} - Prompt:
{{model_description}} wearing the product naturally in a {{setting}} environment. Authentic UGC-style photo, candid pose, natural expression.
- Product:
- For accessories/non-clothing with
flux-kontext-pro-i2i:- Prompt:
{{model_description}} using/wearing {{product_name}} in a {{setting}}. The product from the reference image is clearly visible and featured. Natural UGC-style lifestyle photography, authentic candid feel.
- Prompt:
- Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest
- For clothing/wearables with
Step 2 — UGC Lifestyle Variant
- Lifestyle context shot —
muapi image edit(model=gpt4o-edit) using the output from Step 1:- Prompt:
Make this look like authentic UGC content — add realistic environment context for {{setting}}, adjust lighting to feel natural and unposed, subtle film grain, candid photography style. Keep product {{product_name}} clearly visible and well-lit.
- Prompt:
After generation:
- Present both the try-on and lifestyle variant
- Offer to generate a 3-image carousel set with different poses/settings
- Suggest adding a short UGC-style video with
kling-v3.0-pro-image-to-video
Notes
- UGC performs best when it looks "accidental" — avoid overly polished or symmetrical compositions.
- For TikTok/Reels, suggest animating the best static shot into a video.
- For Amazon, refer back to the
amazon-product-listingskill for white-background variants.
Trigger Keywords
ugc, try on, lifestyle photo, model wearing, outfit photo, wear product, user generated, ugc content, lifestyle try on
Notes for the Executing Agent
- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call
muapiCLI commands. Usemuapi auth configurefirst ifMUAPI_API_KEYis unset. - For model IDs without a CLI alias yet, fall back to the raw endpoint via
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'and poll withmuapi predict wait <request_id>. - Substitute
{{input_name}}placeholders with the user's actual inputs before issuing each call.
版本历史
- d4ce293 当前 2026-07-25 11:21
