Inpainting Outpainting

Inpainting & Outpainting

Fill masked areas or extend image boundaries 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 — Inpainting (Fill/Replace)

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": "Remove the parked car in the center of this street photo and fill the area with the surrounding cobblestone road and a few fallen leaves to match the scene"},
              {"type": "image_url", "image_url": {"url": "https://example.com/street-with-car.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Using curl — Outpainting (Extend)

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": "Extend this landscape photo to the left and right to create a wider panoramic view. Continue the mountain range, sky, and meadow naturally."},
              {"type": "image_url", "image_url": {"url": "https://example.com/mountain-landscape.jpg"}}
            ]
          }
    ],
    "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": "Extend this portrait photo downward to show the full outfit. Continue the style, fabric, and lighting naturally."
    }],
    # Images are included in the message content array above
)

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

Images are sent inside messages using the OpenAI multimodal content format. Maximum 4 images per request.

Streaming

Set "stream": true for real-time Server-Sent Events (SSE) responses, or "stream": false to receive the complete result in a single response. Streaming is useful for showing progress in UIs; non-streaming is simpler for scripts and automation.

Inpainting Use Cases

Outpainting Use Cases

Examples

Replace Object In Scene

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": "Replace the empty vase on the table with a lush bouquet of sunflowers. Match the lighting and shadows of the surrounding scene."},
              {"type": "image_url", "image_url": {"url": "https://example.com/table-scene.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Extend for Social Media Ratio

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": "This image is square (1:1). Extend it to a 16:9 landscape ratio by adding content to the left and right sides. Continue the environment seamlessly."},
              {"type": "image_url", "image_url": {"url": "https://example.com/square-photo.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Restore Damaged Photo

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": "This old photo has tears and creases across the middle. Repair the damaged areas, reconstruct missing details, and make the photo look intact and natural."},
              {"type": "image_url", "image_url": {"url": "https://example.com/torn-old-photo.jpg"}}
            ]
          }
    ],
    "stream": false
  }'

Tips for Quality Results

• Describe the fill content: Do not just say "fill it in" — describe what should appear: "fill with grass and wildflowers"
• Reference surroundings: "Match the surrounding texture, lighting, and perspective"
• Keep it contextual: The AI uses the rest of the image as context, so more visible context means better fills
• One area at a time: Filling multiple disconnected regions in one pass can reduce quality
• Outpainting direction: Be explicit — "extend to the left" vs. "extend in all directions"

Related Skills

• AI Image Editor — General image editing
• Background Removal — Remove backgrounds
• Image Upscaling — Enhance resolution
• AI Photo Enhancer — Improve overall quality

Related Models

• flux-kontext-pro — Best for image editing tasks
• flux-2-max — Highest quality image generation

Documentation

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