计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
high-fidelity-outfit-swap-generator【效率与协作】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 textu…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
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.
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> |
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:
betterprompt resources --models-only --json
Then filter the returned JSON array to entries where modality is "image".
First, run betterprompt resources --models-only --json and filter to modality: "image" to discover valid models and available options:
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:
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"}.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)".
Use the frontmatter's name as the positional argument (for this skill, use high-fidelity-outfit-swap-generator).
Command form:
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:
--image-input-url, --image-input-base64, or --image-input-path, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).--model and BetterPrompt will use the default model: gemini-3.1-flash-image-preview.--options and BetterPrompt will use the default options: {"reasoningEffort":"minimal","aspectRatio":"9:16","resolution":"1K"}.runId you can use to fetch the result later.Example (using defaults shown above):
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"}'