---

name: ai-landscape-design description: "Generate landscape and garden design visualizations using each::sense AI. Create residential garden plans, public park designs, commercial landscaping, rooftop gardens, and outdoor living spaces with realistic plants, hardscaping, and lighting. Use for: landscape design, garden visualization, outdoor spaces, park design, hardscaping plans. Triggers: landscape design, garden design, landscaping, outdoor space, garden visualization, park design, backyard design, patio design, green space, planting design" allowed-tools: Bash(curl *), WebFetch

AI Landscape Design

Generate landscape and garden design visualizations 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": "A landscape design visualization for a modern residential backyard: a rectangular lap pool with blue mosaic tiles, surrounded by a timber deck, ornamental grasses and lavender plantings along the borders, a pergola with climbing jasmine over a dining area, string lights, warm evening atmosphere, photorealistic landscape architecture 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": "A landscape design visualization for a modern residential backyard: a rectangular lap pool with blue mosaic tiles, surrounded by a timber deck, ornamental grasses and lavender plantings along the borders, a pergola with climbing jasmine over a dining area, string lights, warm evening atmosphere, photorealistic landscape architecture 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": "Redesign this existing backyard space: replace the lawn with drought-tolerant native plantings, add a gravel pathway with stepping stones, include a fire pit seating area, maintain the existing mature tree, add low-voltage landscape lighting, photorealistic landscape design render"},
              {"type": "image_url", "image_url": {"url": "https://example.com/current-backyard.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 Landscape Design

• Name specific plants — "Japanese maple," "blue fescue grass," "hydrangea" rather than generic "plants."
• Describe hardscaping materials — "flagstone pavers," "decomposed granite," "reclaimed brick."
• Specify the viewing angle — "bird's eye plan view," "eye-level perspective from the patio," or "elevated angle."
• Include water features — fountains, ponds, streams, and pools add visual interest.
• Mention the climate zone — "Mediterranean climate garden," "English cottage garden," "desert xeriscape."

Examples

Japanese Zen Garden

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 Japanese zen garden landscape design: raked white gravel forming concentric circles around three carefully placed natural boulders, a single pruned black pine, a tsukubai stone water basin, moss-covered stepping stones leading to a simple wooden gate, bamboo fence boundary, tranquil and meditative atmosphere, soft overcast light, landscape architecture visualization"
      }
    ],
    "stream": false
  }'

Public Park Design

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 aerial view landscape design for a public urban park: a central oval lawn surrounded by curving walking paths, clusters of deciduous trees providing shade, a children's playground area, a small amphitheater with terraced seating, a community garden section, bike paths connecting to city streets, summer afternoon light, landscape master plan render"
      }
    ],
    "stream": false
  }'

Rooftop Garden

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 rooftop garden design for a modern apartment building: raised planter beds with herbs and vegetables, a sedum green roof section, a lounge area with weather-resistant outdoor sofas, a wooden pergola with shade sails, city skyline visible in the background, golden hour warm light, urban landscape design visualization"
      }
    ],
    "stream": false
  }'

Workflow: Landscape Design Presentation

1. Assess the site — Provide or describe the existing space and constraints.
2. Generate plan view — Create a bird's eye layout showing the overall design.
3. Render perspective views — Visualize the garden from key viewpoints.
4. Show seasonal variations — Generate spring bloom, summer lush, and autumn color versions.
5. Create detail vignettes — Close-up renders of feature areas (water feature, seating, planting beds).
6. Compile the package — Assemble views into a client presentation.

Related Skills

• AI Building Visualization — Architectural building renders
• AI Architectural Render — Photorealistic structure renders
• Text to Image — General image generation
• AI Stock Photo — Nature and garden photography

Related Models

• flux-2-max — Photorealistic landscape renders
• seedream-v4-5 — Lush natural environments
• nano-banana-pro — Quick concept sketches

Documentation

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