AI Building Visualization

AI Building Visualization

Generate architectural visualization renders of buildings and structures using each::sense — the intelligent AI agent that automatically selects the best model for your request.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

Using curl

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "An architectural visualization of a modern three-story residential house: floor-to-ceiling glass facades, cantilevered upper floor, white concrete and natural wood cladding, flat green roof with a rooftop terrace, surrounded by mature landscaping, golden hour lighting with warm reflections in the glass, photorealistic architectural render"
      }
    ],
    "stream": false
  }'

Using Python (OpenAI SDK)

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_EACHLABS_API_KEY",
    base_url="https://eachsense-agent.core.eachlabs.run/v1"
)

response = client.chat.completions.create(
    model="eachsense/beta",
    messages=[{
        "role": "user",
        "content": "An architectural visualization of a modern three-story residential house: floor-to-ceiling glass facades, cantilevered upper floor, white concrete and natural wood cladding, flat green roof with a rooftop terrace, surrounded by mature landscaping, golden hour lighting with warm reflections in the glass, photorealistic architectural render"
    }]
)

print(response.choices[0].message.content)

With Reference Image

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": [
              {"type": "text", "text": "Create an architectural visualization based on this floor plan sketch: render the building as a photorealistic exterior view from the street, add contextual landscaping, parked cars, pedestrians, and realistic sky, modern materials with glass and steel, late afternoon lighting"},
              {"type": "image_url", "image_url": {"url": "https://example.com/floor-plan-sketch.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.

Streaming

Set "stream": true for real-time SSE responses, or "stream": false for complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.

Tips for Building Visualization

• Specify materials precisely — "exposed concrete," "Corten steel," "cedar cladding," "full-height glass curtain wall."
• Define the viewing angle — "street-level perspective," "aerial view," "corner view," or "courtyard interior."
• Include context elements — people, vehicles, vegetation, and surrounding buildings for scale.
• Describe lighting conditions — time of day, weather, and interior illumination for mood.
• Mention the architectural style — modernist, brutalist, deconstructivist, sustainable, minimalist, or vernacular.

Examples

Commercial Office Building

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "Architectural visualization of a 12-story commercial office tower: glass curtain wall facade with vertical aluminum fins for sun shading, a double-height lobby at ground level, a landscaped public plaza at the base with seating and water features, surrounding urban context, clear blue sky, photorealistic archviz quality"
      }
    ],
    "stream": false
  }'

Interior Living Space

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "An interior architectural visualization of a luxury penthouse living room: double-height ceiling with a mezzanine, floor-to-ceiling windows overlooking a city skyline at dusk, polished concrete floors, a floating staircase in steel and glass, modern furniture in neutral tones, warm ambient lighting from recessed fixtures, V-Ray quality render"
      }
    ],
    "stream": false
  }'

Sustainable Building Concept

curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "messages": [
      {
        "role": "user",
        "content": "A sustainable community center building visualization: organic curved forms in cross-laminated timber, living green walls covering portions of the facade, integrated solar panels on the undulating roof, rainwater collection channels visible as design features, native wildflower meadow surrounding the building, overcast diffused light, ecological architecture render"
      }
    ],
    "stream": false
  }'

Workflow: Architectural Presentation Pipeline

1. Define the brief — Building type, style, materials, and context.
2. Generate concept views — Create exterior perspectives from key viewing angles.
3. Render interior spaces — Visualize lobby, living areas, and feature rooms.
4. Create context scenes — Show the building in its urban or natural environment.
5. Produce time-of-day variants — Day, dusk, and night renders for presentation variety.
6. Compile the presentation — Assemble renders into a client presentation.

Related Skills

• AI Landscape Design — Landscape and garden visualization
• AI Architectural Render — Photorealistic architectural renders
• Text to Image — General image generation
• AI Stock Photo — Context and lifestyle photography

Related Models

• flux-2-max — Photorealistic rendering quality
• seedream-v4-5 — Creative architectural concepts
• nano-banana-pro — Quick concept sketches

Documentation

• each::sense Overview
• each::labs API