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A Python Package to Generate Images with http://pixlr.com programmatically.

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Pixlr API Usage Guide

This Python module provides a simple interface for automating actions on the Pixlr platform, including registration, email verification, generating images, and deleting accounts. Below is a guide on how to use this module effectively:

Prerequisites:

  • Python 3.x installed on your system.
  • Necessary Python libraries installed, including requests.

Usage Steps:

  1. Import the Module:

    from pixlr_private_api.main import PixlrApi
    
  2. Initialize PixlrApi Object:

    pixlr = PixlrApi()
    
  3. Registration:

    registered = pixlr.register()
    if registered:
        print("Successfully registered!")
    
  4. Email Verification:

    verified = pixlr.verify_email()
    if verified:
        print("Email verified successfully!")
    
  5. Generate Image:

    # Provide width, height, amount, and prompt for image generation
    images = pixlr.generate_image(width, height, amount, prompt)
    # 'images' will contain paths to the generated images
    
  6. Delete Account (Optional):

    deleted = pixlr.delete_account()
    if deleted:
        print("Account deleted successfully!")
    
  7. Remove An Image Background

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    pixlr.remove_bg(image_path) # Returns a new image Path with the background Removed!
    
  8. Auto Fix - Automatically does fixing

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    pixlr.auto_fix(image_path) # Returns a new image Path with auto fixes applied
    
  9. LowLight Enhance - Enhances the Quality of Image if in Low-Light

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    pixlr.lowlight_enhance(image_path) # Returns a new image Path with Enhanced Low Light
    
  10. Super Resolution - Scales the Image Up BY an integer Value

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    scale = 2
    pixlr.super_resolution(image_path, scale=scale) # Returns a new image Path with Enhanced Low Light
    
  11. Style Transfer - Transfers the Style from one image to another!

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    image_style = "/tmp/some-style-image.png"
    pixlr.super_resolution(image_path, image_style) # Returns a new image Path with Transfered Style!
    
  12. Image Caption Generating - Generating Captions/Descriptions From Images

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    pixlr.generate_image_caption(image_path) # Returns a string value of the caption!
    
  13. Image Tags Generating - Generating Tags/Keywords From Images

    image_path = "/tmp/1e62c8856e064e04b1cf3d71739a1d2b.png" # The image of your coice
    pixlr.generate_image_tags(image_path) # Returns a List of tags/keywords List[str]
    

Additional Notes:

  • Ensure to handle errors and exceptions appropriately for robust usage.
  • This module interacts with Pixlr through web requests, so network connectivity is required.
  • API requests may be rate-limited or subject to changes by Pixlr, so handle responses accordingly.
  • Phosus, The Second API integrated in to this, thanks to Pixlr giving us free api keys, does leave a fingerprint in the temp folder (Mask Images for removing backgrounds, But no worries, your Operating System does delete them on restart).

This guide provides a basic overview of how to use the Pixlr API module. For detailed information on method parameters and return values, refer to the module's source code or documentation.

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