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morning-balcony-realism【效率与协作】This prompt instructs an image model to use an uploaded portrait as a strict identity reference and generate an ultra-realistic, DSLR-quality 8K lifestyle portrait of the same person standing naturally on a warm, vintage southern European balcony. It specifies cinematic yet natural morning lighting, a low-angle architectural composition with detailed…
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This prompt instructs an image model to use an uploaded portrait as a strict identity reference and generate an ultra-realistic, DSLR-quality 8K lifestyle portrait of the same person standing naturally on a warm, vintage southern European balcony. It specifies cinematic yet natural morning lighting, a low-angle architectural composition with detailed balcony elements (flowers, turquoise windows, vines), and lifelike textures in skin, fabric, and masonry while avoiding stylization or unrealistic edits. The intended outcome is a tranquil, photorealistic scene that preserves the subject’s facial accuracy and delivers a cozy, timeless European atmosphere.
For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.
Pass each text input using --input <key>=<value> flags.
| Variable key | Required? | Description | Defaults |
|---|---|---|---|
outfit_description | Required | Describe your outfit | (none) |
Props_and_Expression | Optional | describe any small object to hold and your desired facial expression | Holding a teacup with a faint, confident smile while looking at the camera. |
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 | Upload your clear portrait 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:
outfit_descriptionProps_and_Expression (default: Holding a teacup with a faint, confident smile while looking at the camera.)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 any required text input or 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 clear portrait photo)".
Use the frontmatter's name as the positional argument (for this skill, use morning-balcony-realism).
Command form:
betterprompt generate morning-balcony-realism \
[--input <key>=<value>] \
[--image-input-url <url>] \
[--image-input-path <path>] \
[--model <model>] \
[--options <options JSON>] \
[--json]
Notes:
--input <key>=<value> flag.--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 morning-balcony-realism \
--input outfit_description=<value> \
--input 'Props_and_Expression=Holding a teacup with a faint, confident smile while looking at the camera.' \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'