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custom-collectible-plush-doll【效率与协作】This prompt instructs an image-generation system to produce a realistic product-style photograph of a collectible plush doll modeled after a real person, matching the person’s hair, outfit, and expression, and presented inside bright retro packaging. The result is a warmly lit, high-quality boxed-toy photo featuring a specific box color with a clear …
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This prompt instructs an image-generation system to produce a realistic product-style photograph of a collectible plush doll modeled after a real person, matching the person’s hair, outfit, and expression, and presented inside bright retro packaging. The result is a warmly lit, high-quality boxed-toy photo featuring a specific box color with a clear window, a teal “Plush Doll” badge, repeated bold orange name text with icons, additional decorative icons, and visible soft fabric and embroidered details on the doll against a minimalist neutral background.
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 |
|---|---|---|---|
Name | Required | (none) | |
icon_to_decor | Required | (none) | |
the_color_of_the_box | 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 | 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:
Nameicon_to_decorthe_color_of_the_boxgpt-image-1 and its available options. Look up gpt-image-1 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: {"quality":"high"}.gpt-image-1, options {"quality":"high"}. 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 (a photo)".
Use the frontmatter's name as the positional argument (for this skill, use custom-collectible-plush-doll).
Command form:
betterprompt generate custom-collectible-plush-doll \
[--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: gpt-image-1.--options and BetterPrompt will use the default options: {"quality":"high"}.runId you can use to fetch the result later.Example (using defaults shown above):
betterprompt generate custom-collectible-plush-doll \
--input Name=<value> \
--input icon_to_decor=<value> \
--input the_color_of_the_box=<value> \
--image-input-url https://example.com/image1.png \
--model gpt-image-1 \
--options '{"quality":"high"}'