EachLabs Video Generation

Generate new videos from text prompts, images, or reference inputs using 165+ AI models via the EachLabs Predictions API. For editing existing videos (upscaling, lip sync, extension, subtitles), see the eachlabs-video-edit skill.

Authentication

Header: X-API-Key: <your-api-key>

Set the EACHLABS_API_KEY environment variable or pass it directly. Get your key at eachlabs.ai.

Quick Start

1. Create a Prediction

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-text-to-video",
    "version": "0.0.1",
    "input": {
      "prompt": "A golden retriever running through a meadow at sunset, cinematic slow motion",
      "resolution": "720p",
      "duration": "5",
      "aspect_ratio": "16:9"
    }
  }'

2. Poll for Result

curl https://api.eachlabs.ai/v1/prediction/{prediction_id} \
  -H "X-API-Key: $EACHLABS_API_KEY"

Poll until status is "success" or "failed". The output video URL is in the response.

Model Selection Guide

Text-to-Video

Image-to-Video

Transitions & Effects

Motion Control & Animation

Talking Head & Lip Sync

Prediction Flow

1. Check model GET https://api.eachlabs.ai/v1/model?slug=<slug> — validates the model exists and returns the request_schema with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
2. POST https://api.eachlabs.ai/v1/prediction with model slug, version "0.0.1", and input parameters matching the schema
3. Poll GET https://api.eachlabs.ai/v1/prediction/{id} until status is "success" or "failed"
4. Extract the output video URL from the response

Examples

Image-to-Video with Wan v2.6 Flash

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wan-v2-6-image-to-video-flash",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/photo.jpg",
      "prompt": "The person turns to face the camera and smiles",
      "duration": "5",
      "resolution": "1080p"
    }
  }'

Video Transition with Pixverse

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "pixverse-v5-6-transition",
    "version": "0.0.1",
    "input": {
      "prompt": "Smooth morphing transition between the two images",
      "first_image_url": "https://example.com/start.jpg",
      "end_image_url": "https://example.com/end.jpg",
      "duration": "5",
      "resolution": "720p"
    }
  }'

Motion Control with Kling v2.6

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "kling-v2-6-pro-motion-control",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/character.jpg",
      "video_url": "https://example.com/dance-reference.mp4",
      "character_orientation": "video"
    }
  }'

Talking Head with Omnihuman

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "bytedance-omnihuman-v1-5",
    "version": "0.0.1",
    "input": {
      "image_url": "https://example.com/portrait.jpg",
      "audio_url": "https://example.com/speech.mp3",
      "resolution": "1080p"
    }
  }'

Prompt Tips

• Be specific about motion: "camera slowly pans left" rather than "nice camera movement"
• Include style keywords: "cinematic", "anime", "3D animation", "cyberpunk"
• Describe timing: "slow motion", "time-lapse", "fast-paced"
• For image-to-video, describe what should change from the static image
• Use negative prompts to avoid unwanted elements (where supported)

Parameter Reference

See references/MODELS.md for complete parameter details for each model.