This prompt instructs the AI to create a hyper-realistic virtual try-on composite by keeping the person from the first image fully consistent while extracting and fitting the garment from the second image onto them. It directs the model to realistically drape and tension the fabric to match the wearer’s pose and body shape, preserve all garment textures and details, match lighting and add accurate contact shadows, and avoid altering any non-target clothing. The intended outcome is a seamless,...
Scanned 9/12/2026
Install to Claude Code
npx -y skills add BetterPromptme/skills --skill high-fidelity-outfit-swap-generator --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: high-fidelity-outfit-swap-generator
description: This prompt instructs the AI to create a hyper-realistic virtual try-on composite by keeping the person from the first image fully consistent while extracting and fitting the garment from the second image onto them. It directs the model to realistically drape and tension the fabric to match the wearer’s pose and body shape, preserve all garment textures and details, match lighting and add accurate contact shadows, and avoid altering any non-target clothing. The intended outcome is a seamless, high-end e-commerce catalog style image rendered at very high resolution with studio-quality, lifelike fabric and clean presentation.
compatibility: Requires betterprompt >= 0.1.0
---
## What it does
This prompt instructs the AI to create a hyper-realistic virtual try-on composite by keeping the person from the first image fully consistent while extracting and fitting the garment from the second image onto them. It directs the model to realistically drape and tension the fabric to match the wearer’s pose and body shape, preserve all garment textures and details, match lighting and add accurate contact shadows, and avoid altering any non-target clothing. The intended outcome is a seamless, high-end e-commerce catalog style image rendered at very high resolution with studio-quality, lifelike fabric and clean presentation.
> For more installation instructions go to https://skills.sh/betterpromptme/betterprompt/betterprompt to check out this skill.
## Inputs
### imageInputs
This prompt requires **exactly 2 images**. You **must pass exactly 2 image flags** (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
| ---: | ---: | --- | --- |
| 1 | Yes | Model's photo | `--image-input-url <url>` or `--image-input-base64 <base64>` or `--image-input-path <absolute path to image>` |
| 2 | Yes | Garment's photo | `--image-input-url <url>` or `--image-input-base64 <base64>` or `--image-input-path <absolute path to image>` |
### Models and options
This skill's modality is: **`image`**.
To discover which `model` values you can use (and which `options` keys/values are valid for each model), run:
```bash
betterprompt resources --models-only --json
```
Then filter the returned JSON array to entries where `modality` is `"image"`.
## How to run
### Step 1: Collect inputs
First, run `betterprompt resources --models-only --json` and filter to `modality: "image"` to discover valid models and available options:
```bash
betterprompt resources --models-only --json
```
Use only the models and option values that appear in the filtered results.
Then collect all inputs from the human:
- Required images:
- **Exactly 2** images: image 1 (Model's photo) and image 2 (Garment's photo). Images must be provided in this order.
- Optional: model and options.
- Present the human with the default model **`gemini-3.1-flash-image-preview`** and its available options. Look up `gemini-3.1-flash-image-preview` in the `betterprompt resources` output (filtered to modality `"image"`) and show its `availableOptions` as: `key: val1, val2 (default), val3 | key2: ...`. Mark a value `(default)` if it matches these defaults: `{"reasoningEffort":"minimal","aspectRatio":"9:16","resolution":"1K"}`.
- If the human does not specify, defaults are used: model `gemini-3.1-flash-image-preview`, options `{"reasoningEffort":"minimal","aspectRatio":"9:16","resolution":"1K"}`. Other models from the resources call are also available.
If the required images are missing, **ask the human for what's missing**. Do not assume or fabricate values. Tell the human: **"Please provide images in this order: image 1 (Model's photo) and image 2 (Garment's photo)"**.
### Step 2: Run via BetterPrompt CLI
Use the frontmatter's `name` as the positional argument (for this skill, use `high-fidelity-outfit-swap-generator`).
Command form:
```bash
betterprompt generate high-fidelity-outfit-swap-generator \
[--image-input-url <url>] \
[--image-input-base64 <base64>] \
[--image-input-path <absolute path to image>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
```
Notes:
- Pass each image using one of `--image-input-url`, `--image-input-base64`, or `--image-input-path`, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).
- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`gemini-3.1-flash-image-preview`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{"reasoningEffort":"minimal","aspectRatio":"9:16","resolution":"1K"}`**.
- If the run times out, the response will include a `runId` you can use to fetch the result later.
Example (using defaults shown above):
```bash
betterprompt generate high-fidelity-outfit-swap-generator \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--model gemini-3.1-flash-image-preview \
--options '{"reasoningEffort":"minimal","aspectRatio":"9:16","resolution":"1K"}'
```
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