算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
ugc-clothing-item-photo-generator【设计与创意】This prompt instructs an image generation/editing system to produce a realistic, high-end UGC fashion photoshoot image by keeping the woman’s face, identity, and hair exactly as shown in the first reference photo while swapping her outfit to match the specific clothing item from the second reference photo with accurate fit, material, and lighting. It…
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This prompt instructs an image generation/editing system to produce a realistic, high-end UGC fashion photoshoot image by keeping the woman’s face, identity, and hair exactly as shown in the first reference photo while swapping her outfit to match the specific clothing item from the second reference photo with accurate fit, material, and lighting. It also defines a luxurious studio scene with a giant cream gift box, burgundy velvet curtains, and directional editorial lighting, plus a precise pose and expression, and it constrains the output by forbidding any changes to the person’s identity, the garment design, or the established background and style so the result looks like an authentic photograph of the user wearing the chosen outfit.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md 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 | Image 1: Your photo | --image-input-url <url> or --image-input-path <path> |
| 2 | Yes | Image 2: Clothing item you wanna try on | --image-input-url <url> or --image-input-path <path> |
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-pro-image-preview and its available options. Look up gemini-3-pro-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: {"aspectRatio":"3:4","resolution":"1K"}.gemini-3-pro-image-preview, options {"aspectRatio":"3:4","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 (Image 1: Your photo) and image 2 (Image 2: Clothing item you wanna try on)".
Use the frontmatter's name as the positional argument (for this skill, use ugc-clothing-item-photo-generator).
Command form:
betterprompt generate ugc-clothing-item-photo-generator \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--image-input-url 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-pro-image-preview.--options and BetterPrompt will use the default options: {"aspectRatio":"3:4","resolution":"1K"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate ugc-clothing-item-photo-generator \
--image-input-url https://example.com/image1.png \
--image-input-path /path/to/image2.png \
--model gemini-3-pro-image-preview \
--options '{"aspectRatio":"3:4","resolution":"1K"}'