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 textures.

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Install skill "3d-model-generation" with this command: npx skills add eachlabs/skills/eachlabs-skills-3d-model-generation

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 Case
GLB.glbUniversal format, web/AR/VR, Unity, Unreal
GLTF.gltfWeb applications, three.js
OBJ.objLegacy support, 3D printing
FBX.fbxAnimation, game engines
USDZ.usdzApple AR Quick Look

Use Case Examples

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"
  }'

Best Practices

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:

  1. Object description: What is the object? Be specific about type and style
  2. Materials: What materials make up the object? (metal, wood, plastic, fabric)
  3. Surface finish: Matte, glossy, brushed, weathered, etc.
  4. Style: Realistic, stylized, low-poly, cartoon, photorealistic
  5. Use case: Game asset, product visualization, AR, 3D printing
  6. 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 ForSpeedQuality
maxFinal production assets, hero models, product shotsSlowerHighest
ecoQuick 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

ErrorCauseSolution
Failed to create prediction: HTTP 422Insufficient balanceTop up at eachlabs.ai
Content policy violationProhibited contentAdjust prompt to comply with content policies
TimeoutComplex generationSet client timeout to minimum 10 minutes
Invalid 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

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