How do I install the Muapi Fashion Try On skill?

Run npx skillmds add thedixitjain/muapi-fashion-try-on in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Muapi Fashion Try On safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Muapi Fashion Try On?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Muapi Fashion Try On free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Muapi Fashion Try On?

thedixitjain (@thedixitjain) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Muapi Fashion Try On by thedixitjain

Name: Muapi Fashion Try On
Rating: 4.5 (4 reviews)
Author: thedixitjain

File contents

Fashion Try-On

Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.

Inputs

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.

Steps

Phase A — Virtual 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:

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

Present the resulting fashion photo to the user for approval.

Phase B — Fashion Video Generation (Optional)

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:

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

After generation, present the final fashion video.

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.

Source: hashgraph-online/awesome-codex-plugins → plugins/SamurAIGPT/Generative-Media-Skills/library/visual/fashion-try-on/SKILL.md

---name: muapi-fashion-try-ondescription: Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.---# Fashion Try-On**Virtually try on different outfits by combining a person's photo and a clothing item, then optionally generate a professional fashion model video.**## Inputs| 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. |## Steps### Phase A — Virtual Try-OnIf `{{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: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 4:5Present the resulting fashion photo to the user for approval.### Phase B — Fashion Video Generation (Optional)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: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 4:5After generation, present the final fashion video.## 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.---**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/SamurAIGPT/Generative-Media-Skills/library/visual/fashion-try-on/SKILL.md`

Frequently asked questions