world-labs-multi-image

name	world-labs-multi-image
description	Multi-image input with direction control and auto layout for world generation
allowed-tools	["Bash","WebFetch"]

World Labs Multi-Image Input

Generate 3D worlds from multiple reference images with precise directional control or automatic layout.

Quick Reference

Mode	Images	Overlap	Best For
Direction Control	Up to 4	Non-overlapping preferred	Creative connections between views
Auto Layout	Up to 8	Required	Reconstructing existing spaces

Credits

Model	Credits
Marble 0.1-plus	1,600
Marble 0.1-mini	250

Direction Control Mode

Use when you want explicit control over image placement. Non-overlapping images are preferred—the model creatively fills spaces between views.

Azimuth Angles

Azimuth	Direction	Description
0	Front	Primary view, camera facing forward
90	Right	View from right side
180	Back	Opposite of front view
270	Left	View from left side

Any value 0-360 is supported for non-cardinal directions.

Visual Reference

              0° (Front)
                  ↑
                  |
    270° (Left) ←─┼─→ 90° (Right)
                  |
                  ↓
            180° (Back)

API Usage (Direction Control)

{
  "model": "Marble 0.1-plus",
  "world_prompt": {
    "type": "multi-image",
    "multi_image_prompt": [
      {
        "azimuth": 0,
        "content": {
          "source": "media_asset",
          "media_asset_id": "front_image_id"
        }
      },
      {
        "azimuth": 90,
        "content": {
          "source": "media_asset",
          "media_asset_id": "right_image_id"
        }
      },
      {
        "azimuth": 180,
         
           
           
        
      
      
         
         
           
           
        
      
    
     
  

Using Public URLs

{
  "model": "Marble 0.1-plus",
  "world_prompt": {
    "type": "multi-image",
    "multi_image_prompt": [
      {
        "azimuth": 0,
        "content": {
          "source": "uri",
          "uri": "https://example.com/front.jpg"
        }
      },
      {
        "azimuth": 180,
        "content": {
          "source": "uri",
          "uri": "https://example.com/back.jpg"
        }
      }
    ],
    "text_prompt": "A cozy living room"
  }

Best Practices for Direction Control

✅ Non-overlapping images: Model creatively fills gaps between views ✅ Consistent style: All images should match aesthetically ✅ Same lighting: Consistent light direction across all images ✅ Complementary angles: Choose angles that tell a complete story

Auto Layout Mode

Use when you have multiple overlapping images from the same space. The model automatically positions images.

Requirements for Auto Layout

Requirement	Details
Aspect ratio	All images MUST have identical aspect ratio
Resolution	All images MUST have identical resolution
Location	All images from the same space
Overlap	Visual overlap between images required
Lighting	Consistent lighting and color temperature

API Usage (Auto Layout)

Auto Layout is primarily a UI feature. In API, omit azimuth values:

{
  "model": "Marble 0.1-plus",
  "world_prompt": {
    "type": "multi-image",
    "multi_image_prompt": [
      {
        "content": {
          "source": "media_asset",
          "media_asset_id": "image_1_id"
        }
      },
      {
        "content": {
          "source": "media_asset",
          "media_asset_id": "image_2_id"
        }
      },
      {
        "content": {
          "source": "media_asset",
          "media_asset_id": "image_3_id"
        }
      
    
     
  

Python Example

import requests

def generate_world_multi_image(
    api_key: str,
    images: list[dict],  # [{"path": "...", "azimuth": 0}, ...] or [{"path": "..."}]
    prompt: str = None
):
    base_url = "https://api.worldlabs.ai/marble/v1"
    headers = {"WLT-Api-Key": api_key, "Content-Type": "application/json"}

    multi_image_prompt = []

    for img in images:
        # Get extension
        ext = img["path"].lower().split('.')[-1]
        if ext == "jpeg":
            ext = "jpg"

        # Prepare upload
        prep = requests.post(
            f"{base_url}/media-assets:prepare_upload",
            headers=headers,
            json={"file_name": img["path"].split('/')[-1], "kind": "image", "extension": ext}
        ).json()

        media_asset_id = prep["media_asset"]["media_asset_id"]
        upload_url = prep["upload_info"]["upload_url"]

        # Upload file
        content_types = {"jpg": "image/jpeg", "png": "image/png", "webp": "image/webp"}
        with open(img[], )  f:
            requests.put(upload_url, headers={: content_types.get(ext, )}, data=f.read())

        
        image_entry = {
            : {
                : ,
                : media_asset_id
            }
        }
           img:
            image_entry[] = img[]

        multi_image_prompt.append(image_entry)

    
    world_prompt = {
        : ,
        : multi_image_prompt
    }
     prompt:
        world_prompt[] = prompt

    
    response = requests.post(
        ,
        headers=headers,
        json={: , : world_prompt}
    )

     response.json()[]


operation_id = generate_world_multi_image(
    ,
    [
        {: , : },
        {: , : },
        {: , : },
        {: , : },
    ],
    prompt=
)


operation_id = generate_world_multi_image(
    ,
    [{: }  i  ()],
    prompt=
)

Common Use Cases

Interior Room (4 corners)

{
  "world_prompt": {
    "type": "multi-image",
    "multi_image_prompt": [
      {
        "azimuth": 45,
        "content": { "source": "media_asset", "media_asset_id": "corner_1" }
      },
      {
        "azimuth": 135,
        "content": { "source": "media_asset", "media_asset_id": "corner_2" }
      },
      {
        "azimuth": 225,
        "content": { "source":    
      
      
         
              
      
    
  

Street Scene (looking both ways)

{
  "world_prompt": {
    "type": "multi-image",
    "multi_image_prompt": [
      {
        "azimuth": 0,
        "content": { "source": "media_asset", "media_asset_id": "street_north" }
      },
      {
        "azimuth": 180,
        "content": { "source": "media_asset", "media_asset_id": "street_south" }
      }
    ]
  }
}

Comparison: Direction Control vs Auto Layout

Aspect	Direction Control	Auto Layout
Max images	4	8
Overlap	Non-overlapping preferred	Required
Aspect ratio	Can vary	Must be identical
Resolution	Can vary	Must be identical
Same space	Recommended	Required
Use case	Creative connections	Space reconstruction

Troubleshooting

Issue	Cause	Solution
Seams between views	Inconsistent lighting	Match exposure and white balance
Floating objects	Conflicting depth info	Use more consistent reference images
Distorted geometry	Images too different	Use more similar reference images
Auto layout fails	Different aspect ratios	Ensure all images have identical dimensions

Related Skills

• world-labs-api - API integration details
• world-labs-image-prompt - Single image input
• world-labs-pano-video - Panorama and video input (most control)