Photo Colorizer

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Overview

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How It Works

1. Upload B&W photo - Provide a black and white or grayscale image
2. AI analyzes - AI understands context and appropriate colors
3. Colors applied - Realistic colors added throughout image
4. Download result - Retrieve your colorized photo

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Use Cases

• Photo restoration - Restore color to family photos
• Historical archives - Colorize historical photographs
• Artistic projects - Add color to vintage imagery
• Documentation - Modernize old photographic records
• Memory preservation - Bring old memories to life

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Best Practices

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Photo Selection

• Clear contrast - Good grayscale contrast helps color accuracy
• High resolution - More detail enables better colorization
• Clean scans - Remove dust and damage first if possible
• Sharp focus - Clearer images colorize more accurately

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Colorization Quality

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Code Examples

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Colorize Black & White Photo

from magic_hour import Client
from os import getenv

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

result = client.v1.photo_colorizer.generate(
    assets={
        "image_file_path": "https://raw.githubusercontent.com/runshouse/Sample_Assets/main/v-j-day-in-times-square.jpg"
    },
    name="Photo Colorizer image",
    wait_for_completion=True,
    download_outputs=True,
    download_directory="."
)

if result.status == "complete":
    print(f"✅ Colorization 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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