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A simple Django app that allows for optimization of images.

Project description

django_optimized_image is a simple Django library that allows optimization of images by using TinyPNG or Pillow.

Quick start

  1. Add “optimized_image” to your INSTALLED_APPS setting like this:

    INSTALLED_APPS = [
        ...
        'optimized_image',
    ]

    Optionally, add a setting that lists the file extensions that will be ignored during image optimization (or an empty list to allow all)

    # ignore GIFs
    OPTIMIZED_IMAGE_IGNORE_EXTENSIONS = ['gif']
    
    # either case is fine; this works too
    OPTIMIZED_IMAGE_IGNORE_EXTENSIONS = ['GIF']
  2. You have the option to use either TinyPNG or Pillow for optimizing images. Inform optimized_image which one you want to use by setting the following:

    # To use Pillow
    OPTIMIZED_IMAGE_METHOD = 'pillow'
    # To use TinyPNG
    OPTIMIZED_IMAGE_METHOD = 'tinypng'

    Any other string that is set for this setting will mean that optimization does not occur. If you are unsure of whether you would like to use TinyPNG or Pillow, feel free to consult the documentation of each.

    If you choose to use TinyPNG, you will need to get an API key from TinyPNG. Visit https://tinypng.com/developers for more details on getting an API key. Once you have done so, add the following setting to your settings file. Note: it is a good idea to keep this secret:

    TINYPNG_KEY
  3. Migrate the optimized_image models:

    python manage.py migrate optimized_image
  4. You may use the OptimizedImageField by importing it:

    from django.db import models
    
    from optimized_image.fields import OptimizedImageField
    
    
    class MyModel(models.Model):
        ...
        image = OptimizedImageField()

    and saving images into it, the same way you would to a Django ImageField. The optimized image will be saved into the url field in place of the unoptimized image.

  5. If you want to change legacy models with Django’s Image fields and optimize the images in those fields, you may do so for legacy models by passing a list of legacy model classes (not their instances) to the following function:

    from optimized_image.utils import optimize_legacy_images_in_model_fields
    optimize_legacy_images_in_model_fields([LegacyModelClass1, LegacyModelClass2])

    Note: this function makes calls to TinyPNG and S3, so it can take a really long time, depending on how many images you have. You may pass in 1 for the verbosity parameter to get logs on the progress:

    optimize_legacy_images_in_model_fields([LegacyModelClass1, LegacyModelClass2], verbosity=1)

Note about TinyPNG API keys: If you obtain the free TinyPNG API token, you are limited to 500 image optimizations per month, so this function may fail if you have a lot of images. You may either obtain a paid API key, or wait until next month.

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