---

name: image-generation description: "Generate images from text descriptions using each::sense AI. Create photorealistic photos, illustrations, concept art, digital paintings, logos, and any visual from a text prompt. Supports all styles from hyperrealism to anime, abstract to architectural. 7 specialized models including flux-2-max, gemini-imagen-4, and seedream-v4-5. Use for: concept art, illustrations, marketing visuals, social media images, product shots, storyboarding, creative exploration. Triggers: generate image, create image, text to image, ai image, image generation, txt2img, ai art, generate picture, create visual, image from text, ai illustration, make image, draw, render" allowed-tools: Bash(curl *), WebFetch

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

Model	Strengths	Best For
flux-2-max	Highest quality, exceptional detail	Hero images, print-ready visuals, portfolio work
flux-2-pro	Fast with balanced quality	Rapid iteration, production workflows
flux-kontext-pro	Accurate text rendering in images	Posters, signs, logos with readable text
nano-banana-pro	Fastest generation speed	Prototyping, bulk generation, real-time previews
gemini-imagen-4	Outstanding photorealism	Product photography, lifestyle shots, realistic scenes
seedream-v4-5	Artistic and stylized outputs	Illustrations, fantasy art, painterly styles
kling-text-to-image	Versatile across styles	General-purpose generation, mixed media

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

Style	Keywords
Photorealistic	photorealistic, ultra-realistic, DSLR photo, 8K, raw photo, unedited
Illustration	digital illustration, vector art, hand-drawn, watercolor, ink drawing
Cinematic	cinematic, film still, movie scene, dramatic lighting, anamorphic lens
Anime	anime style, manga, cel shading, Studio Ghibli, Makoto Shinkai
3D Render	3D render, octane render, unreal engine, isometric, blender render
Oil Painting	oil painting, impasto, classical art, Renaissance, Baroque
Pixel Art	pixel art, 16-bit, retro game, 8-bit, sprite art
Minimalist	minimalist, flat design, simple, clean lines, geometric

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