UGC Lifestyle Try-On

Estimated credits: ~60 per run.

Inputs

product_name

product_image

model_description

setting

platform

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

1. 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.

• 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.