Image Generation

Image Generation

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)

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": "Generate an image in the same style as this reference, but change the setting to a futuristic Tokyo street at night"},
              {"type": "image_url", "image_url": {"url": "https://example.com/reference-style.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.

Available Models

each::sense automatically picks the optimal model based on your prompt. You do not need to specify a model unless you want to override the selection.

Prompt Engineering Guide

Prompt Structure

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

Style Keywords

Aspect Ratios

Specify aspect ratio in your prompt to control image dimensions:

"... landscape format, 16:9 aspect ratio"
"... square format, 1:1"
"... portrait format, 9:16, vertical"
"... ultrawide, 21:9 cinematic"

Quality Boosters

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

Negative Guidance

Describe what you do not want to improve results:

"... avoid blurry, no watermarks, no text overlays, avoid distorted faces"

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, shot on Hasselblad"}],
    "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, whimsical atmosphere"}],
    "stream": false
  }'

Product Photography

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, 1:1 square format"}],
    "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, 16:9 cinematic"}],
    "stream": false
  }'

Text-in-Image (Poster)

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 vintage concert poster for a band called SOLAR DRIFT, playing at The Echo Lounge, June 15th. Retro psychedelic style with swirling colors, 60s typography, orange and purple palette, portrait format"}],
    "stream": false
  }'

Batch Generation Workflow

# Generate multiple style variations of the same subject
PROMPTS=(
  "A medieval castle on a cliff at sunset, oil painting style"
  "A medieval castle on a cliff at sunset, photorealistic, drone shot"
  "A medieval castle on a cliff at sunset, anime style, Makoto Shinkai"
  "A medieval castle on a cliff at sunset, pixel art, 16-bit"
)

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

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 per image.
• Text rendering can be unreliable in most models. Use flux-kontext-pro for text-heavy images.
• Hands and fingers can be distorted. Crop or pose hands carefully if they are the focus.
• Contradictory styles (e.g., "photorealistic watercolor") confuse the model. Pick one.
• Overloaded prompts with 50+ words often degrade quality. Aim for 15-40 words of focused description.

Related Skills

• Image Editing — Edit and modify generated images with natural language
• Image Upscaling — Enhance resolution of generated images
• Background Removal — Remove backgrounds from generated images
• Video Generation — Animate your images into video

Documentation

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