AI Image Editor

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Overview

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How It Works

1. Upload image - Provide the image you want to edit
2. Describe changes - Use text to specify desired modifications
3. AI processes - AI applies edits intelligently
4. Download result - Retrieve your edited image

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Use Cases

• Photo editing - Quick modifications without manual tools
• Object removal - Remove unwanted elements from images
• Color adjustments - Change colors and tones
• Style changes - Modify image aesthetics
• Content addition - Add new elements to images

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Best Practices

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Editing Instructions

• Describe precisely - Specify exact changes wanted
• One edit at a time - Better results with focused changes
• Use descriptive language - Clear descriptions work best
• Reference locations - Specify where changes should occur

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Image Requirements

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Code Examples

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Basic Image Edit

from magic_hour import Client
from os import getenv

client = Client(token=getenv("API_TOKEN"))

result = client.v1.ai_image_editor.generate(
    assets={
        "image_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/tomcruise.png"
    },
    style={
        "prompt": "Turn this image into studio ghibli style"
    },
    name="Image Editor image",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="outputs"
)

if result.status == "complete":
    print(f"✅ Image edit complete!")
    print(f"Downloaded to: {result.downloaded_paths}")
    print(f"Credits charged: {result.credits_charged}")
else:
    print(f"❌ Job failed with status: {result.status}")
    if hasattr(result, 'error_message'):
        print(f"Error: {result.error_message}")

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Pricing

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API Reference

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