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museum-gaze-35mm-portrait-mirror-ultra-lock【效率与协作】This prompt instructs an image-generation/inpainting system to recreate a specific museum gallery composition—painting on the left and a viewer on the right, photographed from a rear three‑quarter 35mm angle—while enforcing ultra-strict preservation of both the viewer’s identity/wardrobe and the painted portrait’s face to match the provided reference…
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This prompt instructs an image-generation/inpainting system to recreate a specific museum gallery composition—painting on the left and a viewer on the right, photographed from a rear three‑quarter 35mm angle—while enforcing ultra-strict preservation of both the viewer’s identity/wardrobe and the painted portrait’s face to match the provided reference images. It specifies lighting, lens, framing, depth of field, color grade, and negative constraints, and includes verification thresholds and recovery steps so the final output is a single, warm low-key “museum” photograph where the portrait’s face remains exactly the same as the input and the viewer’s outfit, pose, and gaze stay consistent and directed to the painting’s center.
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 1 image. You must pass exactly 1 image flag (no more, no fewer), in the order matching the descriptions below.
| Index | Required | Description | Allowed CLI flags |
|---|---|---|---|
| 1 | Yes | a 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-2.5-flash-image-preview and its available options. Look up gemini-2.5-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: {}.gemini-2.5-flash-image-preview, options {}. 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 (a photo)".
Use the frontmatter's name as the positional argument (for this skill, use museum-gaze-35mm-portrait-mirror-ultra-lock).
Command form:
betterprompt generate museum-gaze-35mm-portrait-mirror-ultra-lock \
[--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-2.5-flash-image-preview.--options and BetterPrompt will use the default options: {}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate museum-gaze-35mm-portrait-mirror-ultra-lock \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'