video-generation

Video Generation

Generate videos from text prompts or static images 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 golden retriever running through a field of wildflowers in slow motion, cinematic, shallow depth of field, warm afternoon light"}],
    "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 golden retriever running through a field of wildflowers in slow motion, cinematic, shallow depth of field, warm afternoon light"}]
)

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

With Reference Image (Image-to-Video)

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": "Animate this photo: the woman slowly turns her head toward the camera and smiles, her hair gently blowing in the breeze, natural movement"},
              {"type": "image_url", "image_url": {"url": "https://example.com/portrait-photo.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

Text-to-Video

Model	Strengths	Best For
veo-3	Best overall quality, generates synchronized audio	Cinematic clips, ads, content with sound
veo3-1-fast	Fast generation with good quality	Quick iterations, social media content
kling-3-0	High quality with consistent motion	Character animation, dynamic scenes
wan-v2-6-text-to-video	Reliable text-to-video generation	General purpose video creation
pixverse-v4-1	Stylized and artistic outputs	Animated content, creative videos
sora-2-pro	Cinematic quality with natural physics	Film-like scenes, professional content

Image-to-Video

Model	Strengths	Best For
kling-2-1-image-to-video	Smooth animation from still images	Product animations, portrait animations
wan-v2-6-image-to-video	Consistent with source image details	Extending photos into motion

each::sense automatically picks the right model based on your prompt. Mention "animate this image" or provide an image_url to trigger image-to-video models.

Prompt Engineering Guide

Prompt Structure for Video

[subject] + [action/motion] + [environment] + [camera movement] + [style] + [mood/lighting]

Motion Keywords

Motion Type	Keywords
Camera	pan left, dolly forward, orbit around, zoom in, crane shot, tracking shot
Subject	walking, running, turning, dancing, gesturing, floating
Environment	wind blowing, rain falling, clouds moving, waves crashing, leaves drifting
Speed	slow motion, timelapse, real-time, fast forward, bullet time

Cinematic Keywords

cinematic, 4K, film grain, anamorphic lens, letterbox,
shallow depth of field, bokeh, golden hour, dramatic lighting

Duration Guidance

Specify approximate duration in your prompt when needed:

"... 5-second clip of ..."
"... short loop, 3 seconds ..."
"... 10-second establishing shot ..."

Examples

Cinematic 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": "Aerial drone shot slowly flying over a misty mountain range at sunrise, clouds weaving between peaks, golden light spilling across ridgelines, cinematic 4K, orchestral mood"}],
    "stream": false
  }'

Product Demo Animation

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 smartphone rotating slowly on a dark reflective surface, studio lighting revealing its design from all angles, subtle light reflections, product commercial style, 5 seconds"}],
    "stream": false
  }'

Image-to-Video (Portrait Animation)

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": "Animate this portrait: subtle breathing motion, a gentle blink, the person then looks slightly to the left and gives a warm smile. Natural and realistic movement."},
              {"type": "image_url", "image_url": {"url": "https://example.com/headshot.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Social Media Reel

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 barista pouring latte art in a cozy coffee shop, close-up shot, steam rising from the cup, warm ambient lighting, 9:16 vertical format for Instagram Reels, satisfying and aesthetic"}],
    "stream": false
  }'

Video with Generated Audio (veo-3)

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 thunderstorm rolling over a vast prairie, lightning bolts illuminating dark clouds, heavy rain sweeping across golden grass, with realistic thunder sounds and rain audio, cinematic wide shot"}],
    "stream": false
  }'

Common Pitfalls

• Static descriptions produce still-looking videos. Always describe motion and action explicitly.
• Too many scene changes in one prompt confuse the model. Focus on one continuous scene.
• Ignoring camera movement produces locked-off shots. Specify pans, dollies, or tracking for dynamic feel.
• Complex character interactions (two people talking) can produce inconsistent results. Keep interactions simple.
• No temporal structure makes clips feel random. Describe what happens from start to end.

Text-to-Video vs. Image-to-Video

Feature	Text-to-Video	Image-to-Video
Input	Text prompt only	Text prompt + source image
Control	Full creative freedom	Preserves visual identity from image
Consistency	Model interprets everything	Anchored to source image appearance
Best for	Original content from scratch	Animating existing designs, photos, art
How to trigger	Just describe the scene	Include image_urls and say "animate this"

Related Skills

• Image Generation — Generate starting frames for image-to-video
• Video Editing — Edit and refine generated videos
• Song Generation — Create music to pair with videos
• Sound Effects — Add sound effects to video projects
• Voice Generation — Generate narration for videos

Documentation

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