A precision AI tool for generating hyper-detailed, high-resolution portraits with surgical control over every facial feature.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install portrait-generator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install portrait-generator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Portrait Generator?
The Portrait Generator is an advanced skill designed to interface with the ComfyDeploy Morfeo Portrait workflow. It allows developers and creators to move beyond generic prompting by providing a structured interface for controlling anatomical details, including eye shape, skin micro-texture, jawline definition, and subtle emotional expressions. As a sophisticated entry in the Openclaw Skills ecosystem, it bridges the gap between natural language intent and high-fidelity visual output.
This skill is particularly effective for projects requiring consistency and diversity in character design. By mapping descriptive text to specific API parameters, it ensures that every generated portrait meets exact specifications, whether you are creating marketing personas or digital avatars for gaming and narrative content.
Portrait Generator Use Cases
- Creating diverse character portraits with specific ethnic and age-related characteristics.
- Generating high-resolution model references for fashion and digital marketing campaigns.
- Building realistic personas for UI/UX testing and customer profile visualization.
- Designing unique character concept art for writers and game developers based on detailed physical descriptions.
How Portrait Generator Works
- The skill parses natural language descriptions provided by the user to identify specific facial traits.
- It maps these traits to a structured JSON payload, defaulting all unspecified features to an auto-decision mode to maintain balance.
- A POST request is dispatched to the ComfyDeploy API queue using the dedicated deployment ID.
- The system receives a unique run ID and begins polling the status endpoint to monitor generation progress.
- Once the status reaches success, the skill extracts and returns the final high-resolution PNG URL to the user.
Portrait Generator Setup
To deploy this skill within your environment, ensure you have a valid ComfyDeploy API key. The skill requires the specific deployment ID 0b82e690-9a08-4d1f-85f8-28849d16caa4 to function. You can test the integration using a standard CLI tool as shown below.
curl -X POST https://api.comfydeploy.com/api/run/deployment/queue \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"deployment_id": "0b82e690-9a08-4d1f-85f8-28849d16caa4",
"inputs": {
"brief_text": "A distinguished gentleman in his late 60s",
"sex": "male",
"hair_color": "silver gray"
}
}'
Portrait Generator Data Schema & Taxonomy
The Portrait Generator organizes inputs into a flat schema of highly specific facial and aesthetic attributes. All parameters default to auto for maximum flexibility.
| Category | Parameters Included |
|---|---|
| Demographics | sex, ethnicity, skin_tone, skin_undertone |
| Eyes & Brows | eye_shape, eye_size, eye_color, eyebrow_thickness, eyebrow_shape |
| Anatomy | nose_profile, lips_volume, jawline, cheekbones, chin, forehead |
| Skin & Aging | skin_texture, wrinkles, scars, skin_marks, vitiligo, under_eye |
| Hair | hair_structure, hair_length, hair_volume, hair_color |
| Expression | expression, expression_variant |
| Metadata | brief_text (used for age and non-standard features) |
Portrait Generator Advanced Features
- Micro-texture control allowing for visible pores, specific skin reflections, and realistic imperfections.
- Deep emotional mapping with over 50 expression variants, including nuanced states like melancholic gaze or duchenne smiles.
- Intelligent mapping of vague descriptors into precise anatomical adjustments for professional-grade results.
- Native support for batch generation and diversity-focused workflows within Openclaw Skills pipelines.
SKILL.md
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