Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
3d Model Generation
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR text...
skill openclawclawhub Free
Generate 3D models using each::sense AI. Create 3D assets from text or images for games, products, architecture, characters, vehicles, and more with PBR text...
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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
- 1.0.0
Provenance
- Publisher
- eftalyurtseven
- Source page
- View original listing
- Canonical URL
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Documentation
3D Model Generation
Generate production-ready 3D models using each::sense. This skill creates 3D assets from text descriptions or reference images, suitable for games, e-commerce, architecture, product visualization, and more.
Features
Text-to-3D: Generate 3D models from natural language descriptions Image-to-3D: Convert 2D images into 3D models Character Models: Create humanoid and creature 3D characters Product Models: E-commerce ready product 3D assets Environment/Scene: Generate 3D environments and landscapes Game Assets: Low-poly and stylized game-ready models Furniture: Interior design and home decor 3D models Vehicles: Cars, aircraft, and transportation 3D assets Architecture: Buildings, structures, and architectural elements PBR Textures: Generate physically-based rendering textures for 3D models
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": "Create a 3D model of a medieval treasure chest with gold trim and iron locks", "mode": "max" }'
Output Formats
FormatExtensionUse CaseGLB.glbUniversal format, web/AR/VR, Unity, UnrealGLTF.gltfWeb applications, three.jsOBJ.objLegacy support, 3D printingFBX.fbxAnimation, game enginesUSDZ.usdzApple AR Quick Look
1. Text-to-3D Model Generation
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": "Create a 3D model of a futuristic sci-fi helmet with glowing blue visor and matte black finish. High detail, suitable for game assets.", "mode": "max" }'
2. Image-to-3D Conversion
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": "Convert this product image into a 3D model. Maintain accurate proportions and surface details for e-commerce use.", "mode": "max", "image_urls": ["https://example.com/product-image.jpg"] }'
3. Character 3D Model
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": "Create a 3D character model of a fantasy warrior elf with ornate silver armor, long pointed ears, and a flowing cape. T-pose, game-ready topology.", "mode": "max" }'
4. Product 3D Model
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": "Generate a 3D model of a premium wireless headphone. Matte black with rose gold accents, leather ear cushions. High detail for product visualization and AR try-on.", "mode": "max" }'
5. Environment/Scene 3D
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": "Create a 3D environment scene of a Japanese zen garden with a stone pathway, bamboo fence, koi pond, and cherry blossom trees. Stylized low-poly aesthetic for mobile games.", "mode": "max" }'
6. Game Asset 3D Model
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": "Create a low-poly 3D game asset pack: a wooden crate, barrel, torch, and treasure chest. Stylized textures, optimized for real-time rendering, under 5000 triangles each.", "mode": "eco" }'
7. Furniture 3D Model
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": "Generate a 3D model of a mid-century modern armchair. Walnut wood frame with teal velvet upholstery. Realistic materials for interior design visualization and AR placement.", "mode": "max" }'
8. Vehicle 3D Model
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": "Create a 3D model of a vintage 1960s muscle car. Cherry red metallic paint, chrome details, whitewall tires. High detail exterior suitable for automotive visualization.", "mode": "max" }'
9. Architecture 3D Model
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": "Generate a 3D architectural model of a modern minimalist house. Two stories, large glass windows, flat roof, concrete and wood exterior. Include surrounding landscape.", "mode": "max" }'
10. PBR Texture Generation for 3D
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": "Generate PBR texture maps for weathered bronze metal. Include albedo, normal, roughness, metallic, and ambient occlusion maps. 2K resolution, tileable.", "mode": "max" }'
Model Quality
Be specific: Include material types (metal, wood, fabric), surface finish (matte, glossy), and style (realistic, stylized, low-poly) Specify use case: Mention if it's for games (optimized), AR/VR, 3D printing, or visualization Include scale reference: Describe size when relevant for proper proportions
Topology Guidelines
Game-ready: Request optimized polygon count and clean topology Animation-ready: Specify T-pose for characters, request proper edge loops 3D printing: Ask for watertight meshes and manifold geometry
Texture Quality
PBR materials: Request specific texture maps (albedo, normal, roughness, metallic, AO) Resolution: Specify texture resolution (1K, 2K, 4K) based on use case Tileable: Request seamless/tileable textures for repeating surfaces
Prompt Tips for 3D Generation
When creating 3D models, include these details in your prompt: Object description: What is the object? Be specific about type and style Materials: What materials make up the object? (metal, wood, plastic, fabric) Surface finish: Matte, glossy, brushed, weathered, etc. Style: Realistic, stylized, low-poly, cartoon, photorealistic Use case: Game asset, product visualization, AR, 3D printing Technical specs: Polygon count, texture resolution if needed
Example Prompt Structure
"Create a 3D model of [object description] with [materials/colors]. Style: [realistic/stylized/low-poly]. Use case: [game/AR/visualization/printing]. [Additional requirements like texture maps, polygon count, etc.]"
Mode Selection
Ask your users before generating: "Do you want fast & cheap, or high quality?" ModeBest ForSpeedQualitymaxFinal production assets, hero models, product shotsSlowerHighestecoQuick prototypes, concept exploration, bulk generationFasterGood
Multi-Turn 3D Model Iteration
Use session_id to iterate on 3D models: # Initial model 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": "Create a 3D model of a fantasy sword with dragon motifs", "session_id": "sword-project-001" }' # Iterate based on feedback 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 intricate engravings on the blade and make the dragon head on the hilt more prominent", "session_id": "sword-project-001" }' # Request variations 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": "Create 2 more variations: one with ice theme and one with fire theme", "session_id": "sword-project-001" }'
Batch Asset Generation
Generate multiple 3D assets for a project: # Asset 1 - Props 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": "Create a 3D model of a medieval wooden tavern table with benches", "mode": "eco", "session_id": "medieval-tavern-pack" }' # Asset 2 - Environment piece 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": "Create a 3D model of a stone fireplace with crackling fire effect placeholder", "mode": "eco", "session_id": "medieval-tavern-pack" }' # Asset 3 - Decorative 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": "Create 3D models of tavern decorations: hanging lantern, wall-mounted deer head, and wooden mug", "mode": "eco", "session_id": "medieval-tavern-pack" }'
Error Handling
ErrorCauseSolutionFailed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.aiContent policy violationProhibited contentAdjust prompt to comply with content policiesTimeoutComplex generationSet client timeout to minimum 10 minutesInvalid image URLUnreachable imageEnsure image URL is publicly accessible
Related Skills
each-sense - Core API documentation product-photo-generation - Product photography and visualization image-generation - 2D image generation for reference images
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