Generate realistic, high-resolution studio portrait photos for game face module development. Use when users request game character face reference photos, frontal portraits, studio portrait photos, or
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---
name: "game-portrait-generator"
description: "Generate realistic, high-resolution studio portrait photos for game face module development. Use when users request game character face reference photos, frontal portraits, studio portrait photos, or"
priority: 0.5
imported-from: "minimax"
source-path: "minimax/skills/game-portrait-generator/SKILL.md"
---
# Game Portrait Generator
Generate studio-quality portrait photographs that meet game development standards based on user-provided parameters.
## Input Parameters
| Parameter | Description | Example |
|-----------|-------------|---------|
| `age` | Age (18-60 years) | 25 |
| `ethnicity` | Ethnicity | Caucasian, Asian, African, South Asian, Hispanic |
| `gender` | Gender | Male, Female |
| `reference_photo` | Reference photo (optional) | User-provided photo path |
## Image Specifications
- **Resolution**: High resolution (2K/4K)
- **Orientation**: Frontal view
- **Expression**: Neutral expression
- **Background**: Single-color light background (white or light gray)
- **Lighting**: Professional studio lighting, front sharp focus
- **Style**: No shadows, no makeup, no accessories
## Generation Prompt Template
```
A highly realistic, studio-quality portrait photograph of a [age]-year-old [ethnicity] [gender].
Frontal view, neutral expression, single-color light background (white or light gray).
Ultra sharp focus from the front, professional studio lighting with no shadows.
No makeup, no accessories, no jewelry, no glasses.
Clean, crisp, high-resolution image suitable for game character face module development.
Full face visible, symmetrical features, natural skin texture, detailed facial structure.
```
## Execution Steps
1. **Parse User Parameters**
- Extract age, ethnicity, and gender information
- Check for reference photo availability
2. **Build Generation Prompt**
- Fill parameters according to template
- Add necessary quality modifiers
3. **Generate Image**
- Call image generation tool
- Set appropriate aspect ratio (typically 3:4 or 1:1)
4. **Return Results**
- Provide generated image path
- Confirm image quality meets requirements
## Examples
**User Input**:
"Generate a 30-year-old Asian female game face photo"
**Generated Prompt**:
```
A highly realistic, studio-quality portrait photograph of a 30-year-old Asian female.
Frontal view, neutral expression, single-color light background (white or light gray).
Ultra sharp focus from the front, professional studio lighting with no shadows.
No makeup, no accessories, no jewelry, no glasses.
Clean, crisp, high-resolution image suitable for game character face module development.
Full face visible, symmetrical features, natural skin texture, detailed facial structure.
```
## Notes
- Age recommended between 18-60 years for best results
- Ethnicity uses standard classification: Caucasian, Asian, African, South Asian, Hispanic
- Gender options: Male, Female
- If reference photo is provided, prioritize generating based on reference features