library/visual/fashion-try-on/SKILL.md
Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.
npx skillsauth add samuraigpt/embedai muapi-fashion-try-onInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| person_image | image_url | yes | — | A photo of the person or model who will try on the clothes. |
| clothing_image | image_url | yes | — | A photo of the clothing item to try on. |
If {{person_image}} or {{clothing_image}} is not provided, ask the user to upload them.
Once both images are available, submit the plan with ONE step to perform the try-on:
muapi image edit (model=qwen-image-edit-2511):
{{person_image}} and {{clothing_image}}.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.Present the resulting fashion photo to the user for approval.
After the image is generated, ask the user if they would like to create a professional fashion video of the model wearing the outfit.
If requested, submit the plan with ONE step:
muapi video from-image (model=seedance-v1.5-pro-i2v-fast):
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.After generation, present the final fashion video.
fashion try on, virtual fitting room, try on clothes, model fashion, clothing preview
muapi CLI commands. Use muapi auth configure first if MUAPI_API_KEY is unset.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>.{{input_name}} placeholders with the user's actual inputs before issuing each call.development
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