samuraigpt/muapi-ugc-lifestyle-try-on

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 | instagram | Target platform — "instagram", "tiktok", "pinterest", "amazon". |

Steps

Submit the plan with TWO steps:

Step 1 — Outfit/Product Try-On

1. Try-on generation — muapi image edit (model=ai-dress-change) if product is wearable clothing, otherwise muapi 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.
   • 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.
   • Aspect ratio: 4:5 for Instagram, 9:16 for TikTok, 2:3 for Pinterest

Step 2 — UGC Lifestyle Variant

2. 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.

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-listing skill 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 muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is 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 with muapi predict wait <request_id>.
• Substitute {{input_name}} placeholders with the user's actual inputs before issuing each call.