Fashion Try-On

Estimated credits: ~150 per run.

Inputs

person_image

clothing_image

Steps

Phase A — Virtual Try-On

{{person_image}}

{{clothing_image}}

1. Fashion Try-On —

   muapi image edit

   (model=

   qwen-image-edit-2511

   ):
   • Reference Images: Use both

     {{person_image}}

     and

     {{clothing_image}}

     .
   • Prompt:

     A high-quality fashion photograph of the person from the first reference image wearing the exact clothing item from the second reference image. The fit should be natural and realistic, maintaining the person's pose and the clothing's texture and patterns. Soft studio lighting, neutral background, professional fashion photography style.

   • Aspect ratio: 1:1 or 4:5

Phase B — Fashion Video Generation (Optional)

1. Fashion Video Generation —

   muapi video from-image

   (model=

   seedance-v1.5-pro-i2v-fast

   ):
   • Reference Image: The try-on image generated in Phase A.
   • Prompt:

     Shot type of Three-Quarter Length Shot. [Push in] as model gracefully places hand on hip, shifts weight to one side, tilts head slightly with soft smile, and gently adjusts hair with fingertips, creating elegant movement and confidence.

   • Aspect ratio: 9:16 or 4:5

Trigger Keywords

fashion try on

virtual fitting room

try on clothes

model fashion

clothing preview

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.