Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Age Transformation
Transform faces across ages using each::sense AI. Create age progressions, de-aging effects, baby-to-adult predictions, and aging simulations for entertainme...
skill openclawclawhub Free
Transform faces across ages using each::sense AI. Create age progressions, de-aging effects, baby-to-adult predictions, and aging simulations for entertainme...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/SSE-EVENTS.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
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- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- eftalyurtseven
- Source page
- View original listing
- Canonical URL
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Documentation
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
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" }'
1. Age Progression (Make Older)
Transform a young adult to appear significantly older with natural aging characteristics. 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. 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. 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. 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. 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. 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. 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. 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. 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. # 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" }'
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: Current age (if known): "This 30-year-old..." Target age: "...to look 70 years old" Aging features: "Add wrinkles, gray hair, age spots..." Identity note: "...while keeping them recognizable" 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
ModeBest ForSpeedQualitymaxFinal outputs, professional work, film/videoSlowerHighestecoQuick previews, testing, iterationsFasterGood 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: # 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 CaseRecommended ApproachEntertainment/FunQuick age-ups/de-aging with eco modeFilm/Video VFXDe-aging actors with max mode, detailed promptsMissing PersonsAge progression from childhood, preserve key featuresFamily Projects"What will I look like at 80?" type queriesForensic VisualizationProfessional age progression with identity focusBefore/After ConceptsSubtle aging for skincare/health visualizations
Error Handling
ErrorCauseSolutionFailed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.aiPoor identity preservationVague promptBe specific about maintaining featuresUnrealistic agingMissing aging detailsDescribe specific aging characteristicsTimeoutComplex generationSet 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
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/SSE-EVENTS.md