# model-try-on

Generate on-model apparel or accessory images from product photos. Useful for catalogue shots, pose references, and showing a size range.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 120
- Author: xianyu110
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/xianyu110/ecommerce-image-skills/tree/HEAD/skills/model-try-on/SKILL.md
- Updated: 2026-10-08
- HTML: https://affpapa.org/en/nevibecode/skills/model-try-on

## What it does

The skill examines product photos and builds an identity lock covering visible shape, colour, logos, and details. That description goes into each prompt so creative directions do not override the product reference. You can specify a model, pose, and setting, or request a ghost-mannequin image, jewellery close-up, or side-by-side size comparison. Platform aspect ratios are listed for Amazon fashion, Taobao, Shopee, and TikTok Shop.

Use an image tool already available to the agent, run the bundled API script with `GPTIMAGE_API_KEY`, or get a prompt to use in a browser. The script is `scripts/generate.py` and uses Python’s standard library. A product photo is needed for a try-on of the actual item; text-only generation produces a concept instead. If the logo or label must remain exact, the skill’s model guidance affects which generation option to choose.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill model-try-on -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/model-try-on/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/model-try-on/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill model-try-on -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/model-try-on/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill model-try-on -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/model-try-on/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install xianyu110/ecommerce-image-skills model-try-on
```

2. **Manually: put the files in place**
- File: `.github/skills/model-try-on/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill model-try-on -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/xianyu110/ecommerce-image-skills --path skills/model-try-on
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/model-try-on/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add xianyu110/ecommerce-image-skills --skill model-try-on -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/xianyu110/ecommerce-image-skills/tree/HEAD/skills/model-try-on/SKILL.md

## When to use it
- turn a garment photo into an on-model catalogue image
- preserve product colour, print, and logo in generated scenes
- prepare an image for a listed marketplace format
- compare one outfit on S and XL models
- create a close-up image of jewellery

## Example prompts
- Create a catalogue photo of this garment on a model using the attached product image.
- Show the same outfit on S and XL models side by side.
- Make a version that follows the pose and lighting in the second image.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f68efe88588051c7.

BEGIN THIRD-PARTY FILE f68efe88588051c7
````text
---
name: model-try-on
description: "Dress a model in a real garment or accessory from a flat-lay, hanger or mannequin photo (on-model / virtual try-on) while preserving fabric, colour, fit, prints and logos. Supports pose references, multiple body types and ghost-mannequin output. Use for 模特图, 上身图, 试穿, try-on, on-model photo, apparel and jewellery."
---

# Model Try-On · 模特上身图

From a flat-lay or hanger shot to catalogue-quality on-model photos — without a studio or a model booking.

> Part of [ecommerce-image-skills](https://github.com/xianyu110/ecommerce-image-skills). Works with Claude Code, Codex, Cursor and any agent that loads `SKILL.md`. Default model: GPT Image 2.5 **Sunburst**.

## Step 1 · Product identity lock (always first)

Before writing any prompt, study every reference photo and write a short **identity lock** for the garment. Paste it verbatim into **every** prompt this skill produces, and never let a creative instruction override it.

```text
PRODUCT IDENTITY LOCK (do not change):
- Shape & proportions: <e.g. tall cylinder, rounded shoulders, 26 cm high, 7.5 cm wide>
- Colour & finish: <e.g. matte sage green #8FA58C body, natural bamboo lid>
- Logo & printed text: <exact spelling, font feel, position, colour — e.g. white "AURA" wordmark centred on upper body>
- Parts & details: <lid, loop, buttons, ports, seams, labels, accessories that are included>
- Must NOT appear: <accessories not in the box, extra logos, invented claims>
```

Rules:
- Only use facts visible in the photos or confirmed by the user. If something is unknown (size, capacity, material), ask or leave it out — never invent specs or certifications.
- If the user gave no photo, ask for one (front view at minimum). Text-only generation is allowed but say the result is a concept, not the real product.

## Step 2 · Pick the model

| Use **Flare** (`gpt-image-2.5-flare`, default) | Switch to **Sunburst** (`gpt-image-2.5-sunburst`) |
|---|---|
| New scenes, backgrounds, layouts, many quick variations | The product's logo / label / small text must survive exactly |
| Text-to-image concepts | Local edits: swap background, recolour, remove objects, keep everything else |
| Drafts for the user to pick from | Final hero assets and anything with dense typography |

If an endpoint only exposes other image models, use the closest equivalent and tell the user.

## Specs & ethics

| Platform | Ratio | Notes |
|---|---|---|
| Amazon fashion | 1:1 or 5:6 (e.g. 1500×1800) | Main image: product on model or flat; light grey/white backdrop |
| Taobao / Tmall | 3:4 (750×1000) | |
| Shopee / TikTok Shop | 1:1 or 3:4 | |
| Lookbook / social | 4:5, 9:16 | |

- Use synthetic models only (no real person's likeness unless the user owns the rights). Don't sexualise; keep body proportions natural.
````
END THIRD-PARTY FILE f68efe88588051c7

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First 2836 of 5913 bytes. © xianyu110 · MIT · https://github.com/xianyu110/ecommerce-image-skills/tree/HEAD/skills/model-try-on/SKILL.md

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