age-transformation

Original source / Raw SKILL.md

---
name: age-transformation
description: Transform faces across ages using each::sense AI. Create age progressions, de-aging effects, baby-to-adult predictions, and aging simulations for entertainment, forensics, and visual effects.
metadata:
  author: eachlabs
  version: "1.0"
---

# Age Transformation

Transform faces across different ages using each::sense. This skill enables realistic age progression (aging) and age regression (de-aging) effects on photos, useful for entertainment, film/video production, forensic visualization, and creative projects.

## Features

- **Age Progression**: Make subjects appear older (10, 20, 40+ years)
- **Age Regression**: De-age subjects to look younger
- **Baby to Adult**: Predict how a baby/child might look as an adult
- **Teenage Version**: Transform to teenage appearance
- **Senior/Elderly**: Create realistic elderly versions
- **Middle-Aged**: Transform to middle-age appearance
- **Subtle Aging**: Minor age changes (5-10 years)
- **Dramatic Aging**: Major age transformations (30-50 years)
- **De-aging for Film**: Professional de-aging for video/film production
- **Age Timeline**: Generate multiple ages in sequence

## Quick Start

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this person to look 70 years old while maintaining their recognizable features",
    "image_urls": ["https://example.com/portrait.jpg"],
    "mode": "max"
  }'
```

## Use Case Examples

### 1. Age Progression (Make Older)

Transform a young adult to appear significantly older with natural aging characteristics.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this person by 30 years. Add realistic aging features like wrinkles, slight sagging, gray hair, and age spots while keeping their identity clearly recognizable.",
    "image_urls": ["https://example.com/young-adult.jpg"],
    "mode": "max"
  }'
```

### 2. Age Regression (Make Younger)

De-age an older subject to appear younger with smoother skin and youthful features.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "De-age this person by 25 years. Make them look younger with smoother skin, fuller hair, tighter facial features, but keep their identity intact. Natural and realistic result.",
    "image_urls": ["https://example.com/middle-aged-person.jpg"],
    "mode": "max"
  }'
```

### 3. Baby to Adult Prediction

Predict how a baby or young child might look as an adult.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Transform this baby photo to show how they might look as a 30-year-old adult. Maintain key facial features like eye shape, nose structure, and overall face shape. Make it realistic and believable.",
    "image_urls": ["https://example.com/baby-photo.jpg"],
    "mode": "max"
  }'
```

### 4. Teenage Version

Transform a child or adult to their teenage appearance.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Transform this person to look like a 16-year-old teenager. Adjust facial features to teenage proportions while preserving their recognizable identity. Natural skin, youthful energy.",
    "image_urls": ["https://example.com/adult-portrait.jpg"],
    "mode": "max"
  }'
```

### 5. Senior/Elderly Version

Create a realistic elderly version with natural aging characteristics.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this person to 80 years old. Add deep wrinkles, age spots, white/gray hair, thinner skin, and natural elderly features. The result should look like a dignified senior while still being recognizable as the same person.",
    "image_urls": ["https://example.com/young-person.jpg"],
    "mode": "max"
  }'
```

### 6. Middle-Aged Version

Transform to a realistic middle-aged appearance.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Transform this young adult to appear 45-50 years old. Add subtle wrinkles, slight gray at the temples, mature skin texture, and natural middle-age characteristics while maintaining their identity.",
    "image_urls": ["https://example.com/25-year-old.jpg"],
    "mode": "max"
  }'
```

### 7. Subtle Aging (10 Years)

Apply minor, realistic aging for a 10-year progression.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this person by exactly 10 years. Apply subtle, realistic aging: fine lines around eyes and mouth, slightly less elastic skin, minimal gray hair starting to show. Keep changes believable and natural.",
    "image_urls": ["https://example.com/current-photo.jpg"],
    "mode": "max"
  }'
```

### 8. Dramatic Aging (40 Years)

Apply significant aging transformation spanning 40 years.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this 25-year-old by 40 years to look 65. Apply dramatic but realistic aging: significant wrinkles, sagging skin, gray/white hair, age spots, thinning hair, jowls. Result should be photorealistic and the person should still be recognizable.",
    "image_urls": ["https://example.com/young-adult-25.jpg"],
    "mode": "max"
  }'
```

### 9. De-aging for Video/Film

Professional de-aging suitable for film and video production.

```bash
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "De-age this actor to look 25 years younger for a film flashback scene. Remove wrinkles, tighten facial features, restore hair color and volume, create smooth youthful skin. Result must be cinematic quality, photorealistic, and maintain perfect identity consistency.",
    "image_urls": ["https://example.com/actor-current.jpg"],
    "mode": "max"
  }'
```

### 10. Age Progression Timeline (Multiple Ages)

Generate multiple age versions using session continuity.

```bash
# First request - Age to 40
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "This is a 20-year-old. Create an age progression showing them at 40 years old. Maintain identity throughout.",
    "image_urls": ["https://example.com/person-age-20.jpg"],
    "session_id": "age-timeline-project-001",
    "mode": "max"
  }'

# Second request - Age to 60 (same session)
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Now show the same person at 60 years old. Continue the aging progression naturally from the 40-year-old version.",
    "session_id": "age-timeline-project-001",
    "mode": "max"
  }'

# Third request - Age to 80 (same session)
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Finally, show them at 80 years old. Complete the age timeline with realistic elderly features.",
    "session_id": "age-timeline-project-001",
    "mode": "max"
  }'
```

## Best Practices

### For Realistic Results
- **High-quality source photos**: Use clear, well-lit frontal portraits
- **Specify exact age**: "Age to 65" is better than "make older"
- **Mention identity preservation**: Always request maintaining recognizable features
- **Describe aging features**: Guide the transformation with specific details

### Input Photo Guidelines
- **Resolution**: Higher resolution photos produce better results
- **Lighting**: Even, neutral lighting works best
- **Angle**: Front-facing portraits are ideal
- **Expression**: Neutral expressions transform most naturally
- **Obstruction**: Avoid sunglasses, heavy makeup, or face coverings

### Prompt Tips

When requesting age transformations, include:

1. **Current age** (if known): "This 30-year-old..."
2. **Target age**: "...to look 70 years old"
3. **Aging features**: "Add wrinkles, gray hair, age spots..."
4. **Identity note**: "...while keeping them recognizable"
5. **Quality requirement**: "Photorealistic result"

### Example Prompt Structure

```
"Transform this [current age]-year-old to look [target age] years old.
Add [specific aging/de-aging features].
Maintain their identity and recognizable features.
[Additional requirements like lighting, style, etc.]"
```

## Mode Selection

| Mode | Best For | Speed | Quality |
|------|----------|-------|---------|
| `max` | Final outputs, professional work, film/video | Slower | Highest |
| `eco` | Quick previews, testing, iterations | Faster | Good |

**Recommendation**: Use `eco` mode to test and refine your prompts, then switch to `max` for final high-quality outputs.

## Multi-Turn Refinement

Use `session_id` to iteratively refine age transformations:

```bash
# Initial transformation
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Age this person to 70 years old",
    "image_urls": ["https://example.com/portrait.jpg"],
    "session_id": "age-refinement-001"
  }'

# Refine the result
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Add more prominent wrinkles and make the hair completely white",
    "session_id": "age-refinement-001"
  }'

# Further adjustment
curl -X POST https://sense.eachlabs.run/chat \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -H "Accept: text/event-stream" \
  -d '{
    "message": "Keep the aging but make the expression warmer, add smile lines",
    "session_id": "age-refinement-001"
  }'
```

## Common Use Cases

| Use Case | Recommended Approach |
|----------|---------------------|
| Entertainment/Fun | Quick age-ups/de-aging with `eco` mode |
| Film/Video VFX | De-aging actors with `max` mode, detailed prompts |
| Missing Persons | Age progression from childhood, preserve key features |
| Family Projects | "What will I look like at 80?" type queries |
| Forensic Visualization | Professional age progression with identity focus |
| Before/After Concepts | Subtle aging for skincare/health visualizations |

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| `Failed to create prediction: HTTP 422` | Insufficient balance | Top up at eachlabs.ai |
| Poor identity preservation | Vague prompt | Be specific about maintaining features |
| Unrealistic aging | Missing aging details | Describe specific aging characteristics |
| Timeout | Complex generation | Set client timeout to minimum 10 minutes |

## Related Skills

- `each-sense` - Core API documentation
- `face-swap` - Face swapping capabilities
- `image-edit` - General image editing
- `portrait-generation` - Creating portraits from scratch


---

## Skill Companion Files

> Additional files collected from the skill directory layout.

### _meta.json

```json
{
  "owner": "eftalyurtseven",
  "slug": "age-transformation",
  "displayName": "Age Transformation",
  "latest": {
    "version": "0.1.0",
    "publishedAt": 1771567079682,
    "commit": "https://github.com/openclaw/skills/commit/77f995d65599c834dbfcba9aceab11301da91aa6"
  },
  "history": []
}

```

### references/SSE-EVENTS.md

```markdown
# SSE Event Reference

Detailed documentation for all Server-Sent Events (SSE) returned by the each::sense `/chat` endpoint.

## Event Format

Each event follows this format:
```
data: {"type": "event_type", ...fields}\n\n
```

Stream ends with:
```
data: [DONE]\n\n
```

---

## Event Types

### thinking_delta

Claude's reasoning as it streams in real-time. Use this to show users what the AI is thinking.

```json
{
  "type": "thinking_delta",
  "content": "Let me find the best model for portrait generation..."
}
```

| Field | Type | Description |
|-------|------|-------------|
| `content` | string | Incremental thinking text |

---

### status

Current operation being executed. Shows tool usage and parameters.

```json
{
  "type": "status",
  "message": "Searching for image generation models...",
  "tool_name": "search_models",
  "parameters": {"use_case": "text to image portrait"}
}
```

| Field | Type | Description |
|-------|------|-------------|
| `message` | string | Human-readable status message |
| `tool_name` | string | Internal tool being used |
| `parameters` | object | Tool parameters (optional) |

---

### text_response

Text content from the AI (explanations, answers, plans).

```json
{
  "type": "text_response",
  "content": "I'll create a stunning portrait for you with cinematic lighting and a warm mood."
}
```

| Field | Type | Description |
|-------|------|-------------|
| `content` | string | Text response content |

---

### generation_response

Generated media URL (image or video). This is the primary output event.

```json
{
  "type": "generation_response",
  "url": "https://storage.eachlabs.ai/outputs/abc123.png",
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "total": 1,
  "tool_name": "execute_model",
  "model": "nano-banana-pro"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `url` | string | Primary output URL |
| `generations` | array | All generated URLs |
| `total` | number | Total number of generations |
| `tool_name` | string | Tool that generated output |
| `model` | string | Model used for generation |

---

### clarification_needed

AI needs more information to proceed. Present options to the user.

```json
{
  "type": "clarification_needed",
  "question": "What type of edit would you like to make to this image?",
  "options": [
    "Remove the background",
    "Apply a style transfer",
    "Upscale to higher resolution",
    "Add or modify elements"
  ],
  "context": "I can see you've uploaded an image, but I need to understand what changes you'd like."
}
```

| Field | Type | Description |
|-------|------|-------------|
| `question` | string | The question to ask the user |
| `options` | array | Suggested options (can be displayed as buttons) |
| `context` | string | Additional context about the clarification |

**Handling:** Display the question and options to the user. Send their response in a follow-up request with the same `session_id`.

---

### web_search_query

Web search being executed.

```json
{
  "type": "web_search_query",
  "query": "best AI video generation models 2024",
  "recency": "month"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `query` | string | Search query |
| `recency` | string | Time filter (day, week, month, year) |

---

### web_search_citations

Citations from web search results.

```json
{
  "type": "web_search_citations",
  "citations": [
    "https://example.com/ai-video-comparison",
    "https://techblog.com/veo3-review"
  ],
  "count": 2
}
```

| Field | Type | Description |
|-------|------|-------------|
| `citations` | array | URLs of sources cited |
| `count` | number | Number of citations |

---

### workflow_created

New workflow was created for complex multi-step generation.

```json
{
  "type": "workflow_created",
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "input_schema": {
    "properties": {
      "character_description": {
        "type": "text",
        "required": true,
        "default_value": ""
      }
    }
  },
  "steps_count": 5
}
```

| Field | Type | Description |
|-------|------|-------------|
| `workflow_id` | string | Unique workflow identifier |
| `version_id` | string | Workflow version |
| `input_schema` | object | Schema for workflow inputs |
| `steps_count` | number | Number of steps in workflow |

---

### workflow_fetched

Existing workflow was loaded (when `workflow_id` is provided in request).

```json
{
  "type": "workflow_fetched",
  "workflow_name": "Product Video Generator",
  "existing_steps": 3,
  "existing_definition": {...}
}
```

| Field | Type | Description |
|-------|------|-------------|
| `workflow_name` | string | Name of the workflow |
| `existing_steps` | number | Number of existing steps |
| `existing_definition` | object | Current workflow definition |

---

### workflow_built

Workflow definition was constructed.

```json
{
  "type": "workflow_built",
  "steps_count": 4,
  "definition": {
    "version": "v1",
    "input_schema": {...},
    "steps": [...]
  }
}
```

| Field | Type | Description |
|-------|------|-------------|
| `steps_count` | number | Number of steps |
| `definition` | object | Full workflow definition |

---

### workflow_updated

Workflow was pushed to the EachLabs API.

```json
{
  "type": "workflow_updated",
  "success": true,
  "workflow_id": "wf_abc123",
  "version_id": "v1",
  "definition": {...}
}
```

| Field | Type | Description |
|-------|------|-------------|
| `success` | boolean | Whether update succeeded |
| `workflow_id` | string | Workflow identifier |
| `version_id` | string | Version identifier |
| `definition` | object | Updated definition |

---

### execution_started

Workflow execution has begun.

```json
{
  "type": "execution_started",
  "execution_id": "exec_xyz789",
  "workflow_id": "wf_abc123"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `execution_id` | string | Unique execution identifier |
| `workflow_id` | string | Workflow being executed |

---

### execution_progress

Progress update during workflow execution. Sent approximately every 5 seconds.

```json
{
  "type": "execution_progress",
  "step_id": "step2",
  "step_status": "completed",
  "output": "https://storage.eachlabs.ai/outputs/step2.png",
  "model": "nano-banana-pro",
  "completed_steps": 2,
  "total_steps": 5
}
```

| Field | Type | Description |
|-------|------|-------------|
| `step_id` | string | Current step identifier |
| `step_status` | string | Step status (running, completed, failed) |
| `output` | string | Step output URL (if available) |
| `model` | string | Model used for this step |
| `completed_steps` | number | Steps completed so far |
| `total_steps` | number | Total steps in workflow |

---

### execution_completed

Workflow execution finished successfully.

```json
{
  "type": "execution_completed",
  "execution_id": "exec_xyz789",
  "status": "completed",
  "output": "https://storage.eachlabs.ai/outputs/final.mp4",
  "all_outputs": {
    "step1": "https://storage.eachlabs.ai/outputs/step1.png",
    "step2": "https://storage.eachlabs.ai/outputs/step2.png",
    "step3": "https://storage.eachlabs.ai/outputs/final.mp4"
  }
}
```

| Field | Type | Description |
|-------|------|-------------|
| `execution_id` | string | Execution identifier |
| `status` | string | Final status (completed, failed) |
| `output` | string | Final output URL |
| `all_outputs` | object | All step outputs keyed by step_id |

---

### tool_call

Details of a tool being called. Useful for debugging and transparency.

```json
{
  "type": "tool_call",
  "name": "execute_model",
  "input": {
    "model_name": "nano-banana-pro",
    "inputs": {
      "prompt": "A beautiful woman portrait...",
      "aspect_ratio": "1:1"
    }
  }
}
```

| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Tool name |
| `input` | object | Tool input parameters |

---

### message

Informational message from the agent.

```json
{
  "type": "message",
  "content": "Your video is being processed. This typically takes 2-3 minutes."
}
```

| Field | Type | Description |
|-------|------|-------------|
| `content` | string | Message content |

---

### complete

Final event with summary. Always sent when stream completes successfully.

```json
{
  "type": "complete",
  "task_id": "chat_1708345678901",
  "status": "ok",
  "tool_calls": [
    {"name": "search_models", "result": "success"},
    {"name": "get_model_details", "result": "success"},
    {"name": "execute_model", "result": "success", "model": "nano-banana-pro"}
  ],
  "generations": ["https://storage.eachlabs.ai/outputs/abc123.png"],
  "model": "nano-banana-pro"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `task_id` | string | Unique task identifier |
| `status` | string | Final status (ok, awaiting_input, error) |
| `tool_calls` | array | Summary of all tool calls |
| `generations` | array | All generated output URLs |
| `model` | string | Primary model used |

**Status values:**
- `ok` - Completed successfully
- `awaiting_input` - Waiting for user clarification
- `error` - An error occurred

---

### error

An error occurred during processing.

```json
{
  "type": "error",
  "message": "Failed to generate image: Invalid aspect ratio"
}
```

| Field | Type | Description |
|-------|------|-------------|
| `message` | string | Error message |

---

## Event Flow Examples

### Simple Image Generation

```
thinking_delta → "I'll create a beautiful portrait..."
status → "Searching for models..."
status → "Getting model details..."
status → "Generating with nano-banana-pro..."
generation_response → {url: "https://..."}
complete → {status: "ok", generations: [...]}
[DONE]
```

### Clarification Flow

```
thinking_delta → "I see an image, but need to know what edit..."
clarification_needed → {question: "What edit?", options: [...]}
complete → {status: "awaiting_input"}
[DONE]
```

### Workflow Execution

```
thinking_delta → "Creating a multi-step workflow..."
status → "Searching for models..."
workflow_created → {workflow_id: "wf_123", steps_count: 5}
execution_started → {execution_id: "exec_456"}
execution_progress → {completed_steps: 1, total_steps: 5}
execution_progress → {completed_steps: 2, total_steps: 5}
execution_progress → {completed_steps: 3, total_steps: 5}
execution_progress → {completed_steps: 4, total_steps: 5}
execution_completed → {output: "https://...", all_outputs: {...}}
complete → {status: "ok"}
[DONE]
```

### Web Search

```
thinking_delta → "Let me search for current information..."
web_search_query → {query: "best AI models 2024"}
status → "Searching the web..."
web_search_citations → {citations: [...], count: 3}
text_response → "Based on current information..."
complete → {status: "ok"}
[DONE]
```

```