Muapi Fashion Try On

OrganizationPopular

SamurAIGPT

muapi-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.

Overview

Publisher	SamurAIGPT
Repository	`Generative-Media-Skills`
Skill name	`muapi-fashion-try-on`
Stars	4.3K
Forks	492
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by SamurAIGPT on GitHub. Read the source before you install it.

Installation

Install the Muapi Fashion Try On AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/fashion-try-on

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/SamurAIGPT/Generative-Media-Skills.git /tmp/Generative-Media-Skills
mkdir -p .claude/skills
cp -r /tmp/Generative-Media-Skills/library/visual/fashion-try-on .claude/skills/muapi-fashion-try-on

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Muapi Fashion Try On in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Muapi Fashion Try On on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Muapi Fashion Try On is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Frequently asked questions

What does the Muapi Fashion Try On AI skill do?

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

Why use Muapi Fashion Try On on TypingMind?

Because you install it once and use it with any model. Muapi Fashion Try On is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Muapi Fashion Try On in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SamurAIGPT/Generative-Media-Skills/tree/main/library/visual/fashion-try-on. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Muapi Fashion Try On?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Muapi Fashion Try On?

As many as you like. As long as a model supports skills, you can use Muapi Fashion Try On with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Muapi Fashion Try On AI skill free?

Yes. It is published on GitHub by SamurAIGPT under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Audio Descriptions

thedaviddias

CommunityPopular

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Provide audio descriptions for video. Check native semantics first, then inspect keyboard behavior, focus…

Autoplay Media

Use when reviewing rendered HTML, interactive components, or design-system patterns related to Avoid autoplaying media. Check native semantics first, then inspect keyboard behavior, focus flow,…

Ultimate Browsing

Renders, drives, and screenshots web pages: JS-rendered sources, clicks and forms, persistent logins, WAF-blocked hosts (platform-native readers, stealth Chrome), and the browsing lane of a research…

Video

When the user wants to create, generate, or produce video content using AI tools or programmatic frameworks. Also use when the user mentions 'video production,' 'AI video,' 'Remotion,' 'Hyperframes,'…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Fashion Try-On

Inputs

Steps

Phase A — Virtual Try-On

Phase B — Fashion Video Generation (Optional)

Trigger Keywords

Notes for the Executing Agent

Frequently asked questions

Related AI Skills

Set up your own AI workspace now