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classic-photobooth-black-and-white【效率与协作】This prompt instructs the AI to convert an input photo into a single, high-resolution, photorealistic black-and-white studio/photobooth-style portrait, emphasizing strong monochrome contrast, subtle film grain, clean white seamless background, tight centered waist-up cropping, and soft flash-like lighting. It requires strict, exact preservation of ev…
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This prompt instructs the AI to convert an input photo into a single, high-resolution, photorealistic black-and-white studio/photobooth-style portrait, emphasizing strong monochrome contrast, subtle film grain, clean white seamless background, tight centered waist-up cropping, and soft flash-like lighting. It requires strict, exact preservation of every subject’s face and original clothing/accessories with no beautification or identity changes, while adjusting the pose to match a specified friends-versus-couple hugging arrangement. The intended result is a frameless, borderless, sharply focused, real-photography-looking image that meets detailed validation checks for facial fidelity, pose logic, and overall photobooth aesthetic.
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 | Upload your photo | --image-input-url <url> or --image-input-path <path> |
| 2 | Yes | Upload your friend/lover photo | --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 (Upload your photo) and image 2 (Upload your friend/lover photo)".
Use the frontmatter's name as the positional argument (for this skill, use classic-photobooth-black-and-white).
Command form:
betterprompt generate classic-photobooth-black-and-white \
[--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 classic-photobooth-black-and-white \
--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"}'