Text To Image

Text to Image

Generate images from text descriptions 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 lone astronaut standing on a red desert planet, looking up at a sky filled with three massive moons, cinematic lighting, photorealistic, wide shot"
      }
    ],
    "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 lone astronaut standing on a red desert planet, looking up at a sky filled with three massive moons, cinematic lighting, photorealistic, wide shot"
    }]
)

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

Streaming

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

Prompt Engineering Guide

Prompt Structure

[subject] + [action/pose] + [environment] + [style] + [lighting] + [camera/composition]

Style Keywords

Quality Boosters

masterpiece, highly detailed, sharp focus, professional,
studio quality, award-winning, 8K resolution, HDR

Examples

Photorealistic Landscape

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 misty fjord in Norway at sunrise, mirror-like water reflecting snow-capped mountains, a small red fishing cabin on the shore, photorealistic, 8K, golden hour lighting"
      }
    ],
    "stream": false
  }'

Digital Illustration

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 cozy bookstore interior with a cat sleeping on a stack of old books, warm lamp light, plants hanging from the ceiling, digital illustration, Studio Ghibli style, soft colors"
      }
    ],
    "stream": false
  }'

Concept Art

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 floating cyberpunk city above the clouds, neon lights reflecting off chrome towers, flying vehicles streaming between buildings, concept art, matte painting, epic scale, dramatic perspective"
      }
    ],
    "stream": false
  }'

Product Visualization

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 sleek wireless earbud case on a marble surface, soft studio lighting, product photography, shallow depth of field, clean minimalist background, commercial quality"
      }
    ],
    "stream": false
  }'

Common Pitfalls

• Vague prompts produce generic results. Be specific about subject, style, and mood.
• Too many subjects in one prompt cause confusion. Focus on one main subject.
• Text rendering is unreliable in AI-generated images. Avoid asking for specific words.
• Hands and fingers can be distorted. Crop or hide hands if they are not the focus.
• Contradictory styles (e.g., "photorealistic watercolor") confuse the model.

Batch Generation Workflow

# Generate multiple variations by iterating prompts
PROMPTS=(
  "A medieval castle on a cliff at sunset, oil painting style"
  "A medieval castle on a cliff at sunset, photorealistic"
  "A medieval castle on a cliff at sunset, anime style"
)

for PROMPT in "${PROMPTS[@]}"; do
  curl -X POST https://eachsense-agent.core.eachlabs.run/v1/chat/completions \
    -H "Content-Type: application/json" \
    -H "X-API-Key: $EACHLABS_API_KEY" \
    -d "{
      \"messages\": [{\"role\": \"user\", \"content\": \"$PROMPT\"}],
      \"stream\": false
    }"
  echo "---"
done

Related Skills

• Image to Image — Transform existing images with style transfer
• AI Image Editor — Edit generated images with natural language
• Image Upscaling — Enhance resolution of generated images
• AI Wallpaper Generator — Generate device-ready wallpapers

Related Models

• flux-2-max — Highest quality image generation
• seedream-v4-5 — Creative and artistic styles
• nano-banana-pro — Fast iterations

Documentation

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