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fuji-dream-retro-cafe-portrait【效率与协作】This prompt instructs an image model to generate a hyperrealistic, vertical, film-photography-style portrait of a young person seated at a cozy bread café table, with specific wardrobe, props, composition, lighting, and FujiFilm Pro 400H-inspired color/grain characteristics. The key requirement is to preserve the subject’s facial identity exactly as …
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This prompt instructs an image model to generate a hyperrealistic, vertical, film-photography-style portrait of a young person seated at a cozy bread café table, with specific wardrobe, props, composition, lighting, and FujiFilm Pro 400H-inspired color/grain characteristics. The key requirement is to preserve the subject’s facial identity exactly as provided by a reference image while applying a nostalgic Y2K café mood, shallow depth of field, and vintage lens bloom. The expected outcome is a cinematic, dreamy café portrait that looks like an authentic analog film photo, with the subject in focus and the warm café environment softly blurred behind them.
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 |
|---|---|---|---|
props | Required | (none) | |
gender | Required | (none) | |
outfit | Required | (none) | |
lighting | Required | (none) | |
hairstyle | Required | (none) | |
lens_type | Required | (none) | |
camera_film | Required | (none) | |
environment | Required | (none) | |
image_reference | Required | (none) |
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 | your 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:
propsgenderoutfitlightinghairstylelens_typecamera_filmenvironmentimage_referencegemini-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 (your photo)".
Use the frontmatter's name as the positional argument (for this skill, use fuji-dream-retro-cafe-portrait).
Command form:
betterprompt generate fuji-dream-retro-cafe-portrait \
[--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 fuji-dream-retro-cafe-portrait \
--input props=<value> \
--input gender=<value> \
--input outfit=<value> \
--input lighting=<value> \
--input hairstyle=<value> \
--input lens_type=<value> \
--input camera_film=<value> \
--input environment=<value> \
--input image_reference=<value> \
--image-input-url https://example.com/image1.png \
--model gemini-2.5-flash-image-preview \
--options '{}'