Muapi Ugc Lifestyle Try On

OrganizationPopular

SamurAIGPT

muapi-ugc-lifestyle-try-on

Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.

Overview

Publisher	SamurAIGPT
Repository	`Generative-Media-Skills`
Skill name	`muapi-ugc-lifestyle-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 Ugc Lifestyle 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/motion/ugc-lifestyle-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/motion/ugc-lifestyle-try-on .claude/skills/muapi-ugc-lifestyle-try-on

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

Use it in TypingMind

Enable Muapi Ugc Lifestyle 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 Ugc Lifestyle 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 Ugc Lifestyle 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.

UGC Lifestyle Try-On

Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.

Inputs

Name	Type	Required	Default	Description
`product_name`	text	yes	—	The product to feature (e.g. "white oversized hoodie", "blue light blocking glasses", "leather crossbody bag").
`product_image`	image_url	yes	—	Product image or photo URL to use as reference for the try-on.
`model_description`	text	no	woman, 25-30 years old, natural look, diverse	Description of the model (e.g. "man, athletic build, 20s", "woman, curvy, 30s, warm skin tone").
`setting`	text	no	casual lifestyle, natural lighting	Scene and mood (e.g. "urban street style", "cozy home morning routine", "gym workout", "coffee shop").
`platform`	text	no	instagram	Target platform — "instagram", "tiktok", "pinterest", "amazon".

Steps

Submit the plan with TWO steps:

Step 1 — Outfit/Product Try-On

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

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.

After generation:

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.

Frequently asked questions

What does the Muapi Ugc Lifestyle Try On AI skill do?

Generate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.

Why use Muapi Ugc Lifestyle Try On on TypingMind?

Because you install it once and use it with any model. Muapi Ugc Lifestyle 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 Ugc Lifestyle Try On in TypingMind?

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

Which AI models can use Muapi Ugc Lifestyle 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 Ugc Lifestyle Try On?

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

Is the Muapi Ugc Lifestyle 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

UGC Lifestyle Try-On

Inputs

Steps

Step 1 — Outfit/Product Try-On

Step 2 — UGC Lifestyle Variant

Notes

Trigger Keywords

Notes for the Executing Agent

Frequently asked questions

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