A Python Package to Generate Images with http://pixlr.com programmatically.
Project description
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:
-
Import the Module:
from pixlr_private_api.main import PixlrApi
-
Initialize PixlrApi Object:
pixlr = PixlrApi()
-
Registration:
registered = pixlr.register() if registered: print("Successfully registered!")
-
Email Verification:
verified = pixlr.verify_email() if verified: print("Email verified successfully!")
-
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
-
Delete Account (Optional):
deleted = pixlr.delete_account() if deleted: print("Account deleted successfully!")
-
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!
-
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
-
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
-
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
-
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!
-
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!
-
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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