aienlarge-py 0.1.2

An asynchronous Python API wrapper for AI Enlarger image enhancement service

aienlarge-py

An Asynchronous Python API Wrapper for AI Enlarger

aienlarge-py is an unofficial Python library that provides an asynchronous interface to the AI Enlarger image enhancement service. It allows you to programmatically upload images, enhance or enlarge them using AI-powered processes, monitor processing status, and download enhanced results. It leverages httpx for efficient non-blocking I/O via asyncio.

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🚀 Features

• Asynchronous API: Built with httpx and asyncio for efficient concurrency.
• Image Upload: Send images for processing with specified enhancement types and scaling.
• Status Monitoring: Check the status of your image processing tasks.
• Image Downloading: Retrieve processed images when ready.
• Robust Error Handling: Custom exceptions for granular error management.
• Automatic Configuration: Generates and persists a username locally for API usage.
• Retry Logic: Auto-retries failed requests with exponential backoff.
• Integrated Logging: Uses Python’s logging module for traceability.

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⚠️ Disclaimer

This library is unofficial and not affiliated with or endorsed by AI Enlarger or its developers. Use at your own discretion and comply with any terms of service or usage limits set by AI Enlarger.

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📦 Installation

Install via GitHub:

pip install git+https://github.com/SSL-ACTX/aienlarger-py.git#egg=aienlarge-py

Or install from PyPI:

pip install aienlarge-py

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🧪 Usage Example

import asyncio
import aienlarge
import os

async def main():
    api = aienlarge.ImgLargerAPI()

    image_path = "path/to/your/image.jpg"
    output_dir = "output_images"

    os.makedirs(output_dir, exist_ok=True)

    try:
        # Upload image for 2x enhancement using Default Image Upscaler
        process_code = await api.upload_image(image_path, process_type=0, scale_radio=2)

        if process_code:
            print(f"Upload successful. Process code: {process_code}")

            while True:
                status, download_urls = await api.check_status(process_code)
                print(f"Status: {status}")

                if status == "done" and download_urls:
                    print("Processing complete. Downloading images...")
                    for i, url in enumerate(download_urls):
                        await api.download_image(url, output_dir)
                        print(f"Downloaded image {i+1}/{len(download_urls)}")
                    break
                elif status == "error":
                    print("An error occurred during processing.")
                    break
                else:
                    await asyncio.sleep(5)  # Retry after 5 seconds

    except aienlarge.ImgLargerError as e:
        print(f"API Error: {e}")
    except FileNotFoundError:
        print(f"File not found: {image_path}")
    except ValueError as e:
        print(f"Validation Error: {e}")

if __name__ == "__main__":
    asyncio.run(main())

✅ Note: Replace "path/to/your/image.jpg" with your actual file path.

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🧰 API Reference

ImgLargerAPI Class

__init__(base_url="https://photoai.imglarger.com/api/PhoAi", username=None)

• base_url: Base URL for the API (default: official endpoint).
• username: Optional. Will be loaded from config or generated if not provided.

async upload_image(image_path: str, process_type: int, scale_radio: Optional[int] = None) -> Optional[str]

Uploads an image to be processed.

• process_type:
  • 0: Default Image Upscaler (supports scale_radio)
  • 1: Sharpen
  • 2: Enhancer Mode (Photo color and contrast)
  • 3: Retouch Mode (Deblur)
  • 13: Anime Images Upscaler (supports scale_radio)
• scale_radio: Optional scale (only for types 0 and 13). Valid values: 2, 4, 8.

⚠️ Note: scale_radio with a value of 8 is usually for PRO users only, but using it directly in the API may bypass that.

async check_status(process_code: str) -> Tuple[Optional[str], Optional[List[str]]]

Returns the current processing status and download URLs (if available).

• status: "pending", "processing", "done", "error", or None
• download_urls: List of URLs when status is "done"

async download_image(download_url: str, output_path_dir: str)

Downloads a processed image to the specified directory.

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❗ Error Handling

Exception classes include:

• ImgLargerError (Base)
• ImgLargerUploadError
• ImgLargerStatusError
• ImgLargerDownloadError
• ImgLargerInvalidProcessTypeError
• ImgLargerInvalidScaleRadioError
• ImgLargerAPIResponseError
• ImgLargerConfigFileError

These help you implement granular and predictable error handling.

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⚙️ Configuration

• The library stores a username in .aienlarge_config.json (created in your working directory).
• If no username is provided, one is generated and saved automatically.

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📚 Dependencies

• httpx: For async HTTP operations.

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📄 License

Licensed under the MIT License. See the LICENSE file for full details.

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🤝 Contributing

Contributions are welcome! Feel free to submit issues or pull requests.

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👤 Author

SSL-ACTX 📧 [e-mail] 🔗 https://github.com/SSL-ACTX