Noir Elegance Vintage Portrait

---
name: noir-elegance-vintage-portrait
description: This prompt instructs an image generator to produce a photorealistic, black-and-white, shoulders-up vintage studio portrait in a 1940s film-noir aesthetic, using provided variables (gender, ethnicity, hair, accessories, expression) to shape the subject’s appearance and mood. It specifies close-up framing, soft diffused key lighting with strong light–shadow interplay, analog softness with film grain and vignette, and a natural finger-to-lips gesture, while forbidding color, modern retouching, props, explicitness, or identity imitation. The intended outcome is a dignified, cinematic monochrome headshot that looks like an authentic mid-century silver-print photograph and maintains consistent stylistic realism for reference or dataset use.
compatibility: Requires betterprompt >= 0.1.3
metadata:
  openclaw:
    homepage: https://github.com/BetterPromptme/skills
    emoji: 🧩
    requires:
      anyBins:
        - betterprompt
        - bp
    os:
      - linux
      - darwin
    install:
      - id: node
        kind: node
        package: betterprompt
        bins: [betterprompt, bp]
        label: Install BetterPrompt CLI (node)
---

## What it does

This prompt instructs an image generator to produce a photorealistic, black-and-white, shoulders-up vintage studio portrait in a 1940s film-noir aesthetic, using provided variables (gender, ethnicity, hair, accessories, expression) to shape the subject’s appearance and mood. It specifies close-up framing, soft diffused key lighting with strong light–shadow interplay, analog softness with film grain and vignette, and a natural finger-to-lips gesture, while forbidding color, modern retouching, props, explicitness, or identity imitation. The intended outcome is a dignified, cinematic monochrome headshot that looks like an authentic mid-century silver-print photograph and maintains consistent stylistic realism for reference or dataset use.

> For more installation instructions go to https://raw.githubusercontent.com/BetterPromptme/skills/refs/heads/main/betterprompt/SKILL.md to check out this skill.

## Inputs


### textInputs

Pass each text input using `--input <key>=<value>` flags.

| Variable key | Required? | Description | Defaults |
| --- | ---: | --- | --- |
| `Gender` | Required |  | (none) |
| `Ethnicity` | Required |  | (none) |
| `Expression` | Optional |  | `The character is alluring, contemplative, or rebellious,...` |
| `Accessories` | Required | Wearing small hoop earrings and a golden ring,... | (none) |
| `Hair_description` | Required |  | (none) |



### imageInputs

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 of your portrait | `--image-input-url <url>` or `--image-input-path <path>` |


### Models and options

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:

```bash
betterprompt resources --models-only --json
```

Then filter the returned JSON array to entries where `modality` is `"image"`.

## How to run

### Step 1: Collect inputs

First, run `betterprompt resources --models-only --json` and filter to `modality: "image"` to discover valid models and available options:

```bash
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:


- Required text inputs:
    - `Gender`
  - `Ethnicity`
  - `Accessories`
  - `Hair_description`
- Optional text inputs (use defaults if not provided by the human):
    - `Expression` (default: `The character is alluring, contemplative, or rebellious,...`)
- Required images:
  - **Exactly 1** images: image 1 (A photo of your portrait). Images must be provided in this order.
- Optional: model and options.
  - Present the human with the default model **`gpt-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: `{"size":"1024x1536","quality":"low"}`.
  - If the human does not specify, defaults are used: model `gpt-image-1`, options `{"size":"1024x1536","quality":"low"}`. 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 of your portrait)"**.

### Step 2: Run via BetterPrompt CLI

Use the frontmatter's `name` as the positional argument (for this skill, use `noir-elegance-vintage-portrait`).

Command form:

```bash
betterprompt generate noir-elegance-vintage-portrait \
  [--input <key>=<value>] \
  [--image-input-url <url>] \
  [--image-input-path <path>] \
  [--model <model>] \
  [--options <options JSON>] \
  [--json]
```

Notes:

- Pass each text input as a separate `--input <key>=<value>` flag.
- Pass each image using `--image-input-url` or `--image-input-path`, in the order matching the imageInputs descriptions (image 1 first, then image 2, etc.).
- If the human does **not** mention a model, **omit** `--model` and BetterPrompt will use the default model: **`gpt-image-1`**.
- If the human does **not** mention options, **omit** `--options` and BetterPrompt will use the default options: **`{"size":"1024x1536","quality":"low"}`**.
- If the run times out, the response will include a `runId` you can use to fetch the result later.

Example (using defaults shown above):

```bash
betterprompt generate noir-elegance-vintage-portrait \
  --input Gender=<value> \
  --input Ethnicity=<value> \
  --input 'Expression=The character is alluring, contemplative, or rebellious,...' \
  --input Accessories=<value> \
  --input Hair_description=<value> \
  --image-input-url https://example.com/image1.png \
  --model gpt-image-1 \
  --options '{"size":"1024x1536","quality":"low"}'
```