AlamofireImage is an image component library for Alamofire.

• Image Response Serializers
• UIImage Extensions for Inflation / Scaling / Rounding / CoreImage
• Single and Multi-Pass Image Filters
• Auto-Purging In-Memory Image Cache
• Prioritized Queue Order Image Downloading
• Authentication with URLCredential
• UIImageView Async Remote Downloads with Placeholders
• UIImageView Filters and Transitions
• Comprehensive Test Coverage
• Complete Documentation

• iOS 8.0+ / macOS 10.10+ / tvOS 9.0+ / watchOS 2.0+
• Xcode 9.3+
• Swift 4+

• AlamofireImage 2.0 Migration Guide
• AlamofireImage 3.0 Migration Guide

• Alamofire 4.9+

• If you need to find or understand an API, check our documentation.
• If you need help with an AlamofireImage feature, use our forum on swift.org.
• If you'd like to discuss AlamofireImage best practices, use our forum on swift.org.
• If you'd like to discuss a feature request, use our forum on swift.org.
• If you found a bug, open an issue and follow the guide. The more detail the better!
• If you want to contribute, submit a pull request.

CocoaPods is a dependency manager for Cocoa projects. You can install it with the following command:

$ gem install cocoapods

CocoaPods 1.1+ is required.

To integrate AlamofireImage into your Xcode project using CocoaPods, specify it in your Podfile:

source 'https://github.com/CocoaPods/Specs.git'
platform :ios, '10.0'
use_frameworks!

target '<Your Target Name>' do
    pod 'AlamofireImage', '~> 3.6'
end

Then, run the following command:

$ pod install

Carthage is a decentralized dependency manager that builds your dependencies and provides you with binary frameworks.

You can install Carthage with Homebrew using the following command:

$ brew update
$ brew install carthage

To integrate AlamofireImage into your Xcode project using Carthage, specify it in your Cartfile:

github "Alamofire/AlamofireImage" ~> 3.6

Run carthage update to build the framework and drag the built AlamofireImage.framework into your Xcode project.

If you prefer not to use either of the aforementioned dependency managers, you can integrate AlamofireImage into your project manually.

• Open up Terminal, cd into your top-level project directory, and run the following command "if" your project is not initialized as a git repository:

$ git init

• Add AlamofireImage as a git submodule by running the following command:

$ git submodule add https://github.com/Alamofire/AlamofireImage.git

• Open the new AlamofireImage folder, and drag the AlamofireImage.xcodeproj into the Project Navigator of your application's Xcode project.

  It should appear nested underneath your application's blue project icon. Whether it is above or below all the other Xcode groups does not matter.

• Select the AlamofireImage.xcodeproj in the Project Navigator and verify the deployment target matches that of your application target.

• Next, select your application project in the Project Navigator (blue project icon) to navigate to the target configuration window and select the application target under the "Targets" heading in the sidebar.

• In the tab bar at the top of that window, open the "General" panel.

• Click on the + button under the "Embedded Binaries" section.

• You will see two different AlamofireImage.xcodeproj folders each with two different versions of the AlamofireImage.framework nested inside a Products folder.

  It does not matter which Products folder you choose from, but it does matter whether you choose the top or bottom AlamofireImage.framework.

• Select the top AlamofireImage.framework for iOS and the bottom one for OS X.

  You can verify which one you selected by inspecting the build log for your project. The build target for AlamofireImage will be listed as either AlamofireImage iOS, AlamofireImage macOS, AlamofireImage tvOS or AlamofireImage watchOS.

• And that's it!

  The AlamofireImage.framework is automagically added as a target dependency, linked framework and embedded framework in a copy files build phase which is all you need to build on the simulator and a device.

import Alamofire
import AlamofireImage

Alamofire.request("https://httpbin.org/image/png").responseImage { response in
	debugPrint(response)

	print(response.request)
	print(response.response)
	debugPrint(response.result)

	if let image = response.result.value {
		print("image downloaded: \(image)")
	}
}

The AlamofireImage response image serializers support a wide range of image types including:

• image/png
• image/jpeg
• image/tiff
• image/gif
• image/ico
• image/x-icon
• image/bmp
• image/x-bmp
• image/x-xbitmap
• image/x-win-bitmap

If the image you are attempting to download is an invalid MIME type not in the list, you can add custom acceptable content types using the addAcceptableImageContentTypes extension on the DataRequest type.

There are several UIImage extensions designed to make the common image manipulation operations as simple as possible.

let url = Bundle.main.url(forResource: "unicorn", withExtension: "png")!
let data = try! Data(contentsOf: url)
let image = UIImage(data: data, scale: UIScreen.main.scale)!

image.af_inflate()

Inflating compressed image formats (such as PNG or JPEG) in a background queue can significantly improve drawing performance on the main thread.

let image = UIImage(named: "unicorn")!
let size = CGSize(width: 100.0, height: 100.0)

// Scale image to size disregarding aspect ratio
let scaledImage = image.af_imageScaled(to: size)

// Scale image to fit within specified size while maintaining aspect ratio
let aspectScaledToFitImage = image.af_imageAspectScaled(toFit: size)

// Scale image to fill specified size while maintaining aspect ratio
let aspectScaledToFillImage = image.af_imageAspectScaled(toFill: size)

let image = UIImage(named: "unicorn")!
let radius: CGFloat = 20.0

let roundedImage = image.af_imageRounded(withCornerRadius: radius)
let circularImage = image.af_imageRoundedIntoCircle()

let image = UIImage(named: "unicorn")!

let sepiaImage = image.af_imageFiltered(withCoreImageFilter: "CISepiaTone")

let blurredImage = image.af_imageFiltered(
    withCoreImageFilter: "CIGaussianBlur",
    parameters: ["inputRadius": 25]
)

The ImageFilter protocol was designed to make it easy to apply a filter operation and cache the result after an image finished downloading. It defines two properties to facilitate this functionality.

public protocol ImageFilter {
    var filter: Image -> Image { get }
    var identifier: String { get }
}

The filter closure contains the operation used to create a modified version of the specified image. The identifier property is a string used to uniquely identify the filter operation. This is useful when adding filtered versions of an image to a cache. All identifier properties inside AlamofireImage are implemented using protocol extensions.

The single pass image filters only perform a single operation on the specified image.

let image = UIImage(named: "unicorn")!
let imageFilter = RoundedCornersFilter(radius: 10.0)

let roundedImage = imageFilter.filter(image)

The current list of single pass image filters includes:

• ScaledToSizeFilter - Scales an image to a specified size.
• AspectScaledToFitSizeFilter - Scales an image from the center while maintaining the aspect ratio to fit within a specified size.
• AspectScaledToFillSizeFilter - Scales an image from the center while maintaining the aspect ratio to fill a specified size. Any pixels that fall outside the specified size are clipped.
• RoundedCornersFilter - Rounds the corners of an image to the specified radius.
• CircleFilter - Rounds the corners of an image into a circle.
• BlurFilter - Blurs an image using a CIGaussianBlur filter with the specified blur radius.

Each image filter is built ontop of the UIImage extensions.

The multi-pass image filters perform multiple operations on the specified image.

let image = UIImage(named: "avatar")!
let size = CGSize(width: 100.0, height: 100.0)
let imageFilter = AspectScaledToFillSizeCircleFilter(size: size)

let avatarImage = imageFilter.filter(image)

The current list of multi-pass image filters includes:

• ScaledToSizeWithRoundedCornersFilter - Scales an image to a specified size, then rounds the corners to the specified radius.
• AspectScaledToFillSizeWithRoundedCornersFilter - Scales an image from the center while maintaining the aspect ratio to fit within a specified size, then rounds the corners to the specified radius.
• ScaledToSizeCircleFilter - Scales an image to a specified size, then rounds the corners into a circle.
• AspectScaledToFillSizeCircleFilter - Scales an image from the center while maintaining the aspect ratio to fit within a specified size, then rounds the corners into a circle.

Image caching can become complicated when it comes to network images. URLCache is quite powerful and does a great job reasoning through the various cache policies and Cache-Control headers. However, it is not equipped to handle caching multiple modified versions of those images.

For example, let's say you need to download an album of images. Your app needs to display both the thumbnail version as well as the full size version at various times. Due to performance issues, you want to scale down the thumbnails to a reasonable size before rendering them on-screen. You also need to apply a global CoreImage filter to the full size images when displayed. While URLCache can easily handle storing the original downloaded image, it cannot store these different variants. What you really need is another caching layer designed to handle these different variants.

let imageCache = AutoPurgingImageCache(
    memoryCapacity: 100_000_000,
    preferredMemoryUsageAfterPurge: 60_000_000
)

The AutoPurgingImageCache in AlamofireImage fills the role of that additional caching layer. It is an in-memory image cache used to store images up to a given memory capacity. When the memory capacity is reached, the image cache is sorted by last access date, then the oldest image is continuously purged until the preferred memory usage after purge is met. Each time an image is accessed through the cache, the internal access date of the image is updated.

Interacting with the ImageCache protocol APIs is very straightforward.

let imageCache = AutoPurgingImageCache()
let avatarImage = UIImage(data: data)!

// Add
imageCache.add(avatarImage, withIdentifier: "avatar")

// Fetch
let cachedAvatar = imageCache.image(withIdentifier: "avatar")

// Remove
imageCache.removeImage(withIdentifier: "avatar")

The ImageRequestCache protocol extends the ImageCache protocol by adding support for URLRequest caching. This allows a URLRequest and an additional identifier to generate the unique identifier for the image in the cache.

let imageCache = AutoPurgingImageCache()

let urlRequest = URLRequest(url: URL(string: "https://httpbin.org/image/png")!)
let avatarImage = UIImage(named: "avatar")!.af_imageRoundedIntoCircle()

// Add
imageCache.add(avatarImage, for: urlRequest, withIdentifier: "circle")

// Fetch
let cachedAvatarImage = imageCache.image(for: urlRequest, withIdentifier: "circle")

// Remove
imageCache.removeImage(for: urlRequest, withIdentifier: "circle")

Each time an image is fetched from the cache, the cache internally updates the last access date for that image.

let avatar = imageCache.image(withIdentifier: "avatar")
let circularAvatar = imageCache.image(for: urlRequest, withIdentifier: "circle")

By updating the last access date for each image, the image cache can make more informed decisions about which images to purge when the memory capacity is reached. The AutoPurgingImageCache automatically evicts images from the cache in order from oldest last access date to newest until the memory capacity drops below the preferredMemoryCapacityAfterPurge.

It is important to set reasonable default values for the memoryCapacity and preferredMemoryCapacityAfterPurge when you are initializing your image cache. By default, the memoryCapacity equals 100 MB and the preferredMemoryCapacityAfterPurge equals 60 MB.

The AutoPurgingImageCache also listens for memory warnings from your application and will purge all images from the cache if a memory warning is observed.

The ImageDownloader class is responsible for downloading images in parallel on a prioritized queue. It uses an internal Alamofire SessionManager instance to handle all the downloading and response image serialization. By default, the initialization of an ImageDownloader uses a default URLSessionConfiguration with the most common parameter values.

let imageDownloader = ImageDownloader(
    configuration: ImageDownloader.defaultURLSessionConfiguration(),
    downloadPrioritization: .fifo,
    maximumActiveDownloads: 4,
    imageCache: AutoPurgingImageCache()
)

If you need to customize the URLSessionConfiguration type or parameters, then simply provide your own rather than using the default.

let downloader = ImageDownloader()
let urlRequest = URLRequest(url: URL(string: "https://httpbin.org/image/jpeg")!)

downloader.download(urlRequest) { response in
    print(response.request)
    print(response.response)
    debugPrint(response.result)

    if let image = response.result.value {
        print(image)
    }
}

Make sure to keep a strong reference to the ImageDownloader instance, otherwise the completion closure will not be called because the downloader reference will go out of scope before the completion closure can be called.

let downloader = ImageDownloader()
let urlRequest = URLRequest(url: URL(string: "https://httpbin.org/image/jpeg")!)
let filter = AspectScaledToFillSizeCircleFilter(size: CGSize(width: 100.0, height: 100.0))

downloader.download(urlRequest, filter: filter) { response in
    print(response.request)
    print(response.response)
    debugPrint(response.result)

    if let image = response.result.value {
        print(image)
    }
}

If your images are behind HTTP Basic Auth, you can append the user:password: or the credential to the ImageDownloader instance. The credentials will be applied to all future download requests.

let downloader = ImageDownloader()
downloader.addAuthentication(user: "username", password: "password")

The ImageDownloader maintains an internal queue of pending download requests. Depending on your situation, you may want incoming downloads to be inserted at the front or the back of the queue. The DownloadPrioritization enumeration allows you to specify which behavior you would prefer.

public enum DownloadPrioritization {
    case fifo, lifo
}

The ImageDownloader is initialized with a .fifo queue by default.

The ImageDownloader uses a combination of an URLCache and AutoPurgingImageCache to create a very robust, high performance image caching system.

The URLCache is used to cache all the original image content downloaded from the server. By default, it is initialized with a memory capacity of 20 MB and a disk capacity of 150 MB. This allows up to 150 MB of original image data to be stored on disk at any given time. While these defaults have been carefully set, it is very important to consider your application's needs and performance requirements and whether these values are right for you.

If you wish to disable this caching layer, create a custom URLSessionConfiguration with the urlCache property set to nil and use that configuration when initializing the ImageDownloader.

The ImageCache is used to cache all the potentially filtered image content after it has been downloaded from the server. This allows multiple variants of the same image to also be cached, rather than having to re-apply the image filters to the original image each time it is required. By default, an AutoPurgingImageCache is initialized with a memory capacity of 100 MB and a preferred memory usage after purge limit of 60 MB. This allows up to 100 MB of most recently accessed filtered image content to be stored in-memory at a given time.

Determining the ideal the in-memory and on-disk capacity limits of the URLCache and AutoPurgingImageCache requires a bit of forethought. You must carefully consider your application's needs, and tailor the limits accordingly. By default, the combination of caches offers the following storage capacities:

• 150 MB of on-disk storage
• 20 MB of in-memory original image data storage
• 100 MB of in-memory storage of filtered image content
• 60 MB preferred memory capacity after purge of filtered image content

If you do not use image filters, it is advised to set the memory capacity of the URLCache to zero to avoid storing the same content in-memory twice.

Sometimes application logic can end up attempting to download an image more than once before the initial download request is complete. Most often, this results in the image being downloaded more than once. AlamofireImage handles this case elegantly by merging the duplicate downloads. The image will only be downloaded once, yet both completion handlers will be called.

In addition to merging duplicate downloads, AlamofireImage can also merge duplicate image filters. If two image filters with the same identifier are attached to the same download, the image filter is only executed once and both completion handlers are called with the same resulting image. This can save large amounts of time and resources for computationally expensive filters such as ones leveraging CoreImage.

Sometimes it is necessary to cancel an image download for various reasons. AlamofireImage can intelligently handle cancellation logic in the ImageDownloader by leveraging the RequestReceipt type along with the cancelRequestForRequestReceipt method. Each download request vends a RequestReceipt which can be later used to cancel the request.

By cancelling the request through the ImageDownloader using the RequestReceipt, AlamofireImage is able to determine how to best handle the cancellation. The cancelled download will always receive a cancellation error, while duplicate downloads are allowed to complete. If the download is already active, it is allowed to complete even though the completion handler will be called with a cancellation error. This greatly improves performance of table and collection views displaying large amounts of images.

It is NOT recommended to directly call cancel on the request in the RequestReceipt. Doing so can lead to issues such as duplicate downloads never being allowed to complete.

The UIImage Extensions, Image Filters, Image Cache and Image Downloader were all designed to be flexible and standalone, yet also to provide the foundation of the UIImageView extension. Due to the powerful support of these classes, protocols and extensions, the UIImageView APIs are concise, easy to use and contain a large amount of functionality.

Setting the image with a URL will asynchronously download the image and set it once the request is finished.

let imageView = UIImageView(frame: frame)
let url = URL(string: "https://httpbin.org/image/png")!

imageView.af_setImage(withURL: url)

If the image is cached locally, the image is set immediately.

By specifying a placeholder image, the image view uses the placeholder image until the remote image is downloaded.

let imageView = UIImageView(frame: frame)
let url = URL(string: "https://httpbin.org/image/png")!
let placeholderImage = UIImage(named: "placeholder")!

imageView.af_setImage(withURL: url, placeholderImage: placeholderImage)

If the remote image is cached locally, the placeholder image is never set.

If an image filter is specified, it is applied asynchronously after the remote image is downloaded. Once the filter execution is complete, the resulting image is set on the image view.

let imageView = UIImageView(frame: frame)

let url = URL(string: "https://httpbin.org/image/png")!
let placeholderImage = UIImage(named: "placeholder")!

let filter = AspectScaledToFillSizeWithRoundedCornersFilter(
    size: imageView.frame.size,
    radius: 20.0
)

imageView.af_setImage(
    withURL: url,
    placeholderImage: placeholderImage,
    filter: filter
)

If the remote image with the applied filter is cached locally, the image is set immediately.

By default, there is no image transition animation when setting the image on the image view. If you wish to add a cross dissolve or flip-from-bottom animation, then specify an ImageTransition with the preferred duration.

let imageView = UIImageView(frame: frame)

let url = URL(string: "https://httpbin.org/image/png")!
let placeholderImage = UIImage(named: "placeholder")!

let filter = AspectScaledToFillSizeWithRoundedCornersFilter(
    size: imageView.frame.size,
    radius: 20.0
)

imageView.af_setImage(
    withURL: url,
    placeholderImage: placeholderImage,
    filter: filter,
    imageTransition: .crossDissolve(0.2)
)

If the remote image is cached locally, the image transition is ignored.

The UIImageView extension is powered by the default ImageDownloader instance. To customize cache capacities, download priorities, request cache policies, timeout durations, etc., please refer to the Image Downloader documentation.

If an image requires and authentication credential from the UIImageView extension, it can be provided as follows:

ImageDownloader.default.addAuthentication(user: "user", password: "password")

Alamofire is owned and maintained by the Alamofire Software Foundation. You can follow them on Twitter at @AlamofireSF for project updates and releases.

If you believe you have identified a security vulnerability with AlamofireImage, you should report it as soon as possible via email to [email protected]. Please do not post it to a public issue tracker.

The ASF is looking to raise money to officially stay registered as a federal non-profit organization. Registering will allow us members to gain some legal protections and also allow us to put donations to use, tax free. Donating to the ASF will enable us to:

• Pay our yearly legal fees to keep the non-profit in good status
• Pay for our mail servers to help us stay on top of all questions and security issues
• Potentially fund test servers to make it easier for us to test the edge cases
• Potentially fund developers to work on one of our projects full-time

The community adoption of the ASF libraries has been amazing. We are greatly humbled by your enthusiasm around the projects, and want to continue to do everything we can to move the needle forward. With your continued support, the ASF will be able to improve its reach and also provide better legal safety for the core members. If you use any of our libraries for work, see if your employers would be interested in donating. Any amount you can donate today to help us reach our goal would be greatly appreciated.

AlamofireImage is released under the MIT license. See LICENSE for details.