This library brings easy-to-use composable which can fetch and display images from external sources, such as network, using the Coil image loading library.
The primary API is via the CoilImage()
functions. There are a number of function versions available.
The simplest usage is like so:
CoilImage(
data = "https://loremflickr.com/300/300"
)
This loads the data
passed in with Coil, and then displays the resulting image using the standard Image
composable.
There is also a version of this function which accepts a Coil ImageRequest
, allowing full customization of the request. This allows usage of things like (but not limited to) transformations:
CoilImage(
request = ImageRequest.Builder(ContextAmbient.current)
.data("https://loremflickr.com/300/300")
.transformations(CircleCropTransformation())
.build()
)
It also provides optional content 'slots', allowing you to provide custom content to be displayed when the request is loading, and/or if the image request failed:
CoilImage(
data = "https://loremflickr.com/300/300",
loading = {
Box(Modifier.matchParentSize()) {
CircularProgressIndicator(Modifier.align(Alignment.Center))
}
},
error = {
Image(asset = imageResource(R.drawable.ic_error))
}
)
This library has built-in support for animating loaded images in, using a fade-in animation.
There are two ways to enable the animation:
A fadeIn: Boolean
parameter has been added to CoilImage
(default: false
). When enabled, a default fade-in animation will be used when the image is successfully loaded:
CoilImage(
data = "https://picsum.photos/300/300",
fadeIn = true
)
If you need more control over the animation, or you want to provide custom layout for the loaded image, you can use the content
composable version of CoilImage
:
CoilImage(
data = "https://random.image",
) { imageState ->
when (imageState) {
is ImageLoadState.Success -> {
MaterialLoadingImage(
result = imageState,
fadeInEnabled = true,
fadeInDurationMs = 600,
)
}
is ImageLoadState.Error -> /* TODO */
ImageLoadState.Loading -> /* TODO */
ImageLoadState.Empty -> /* TODO */
}
}
## GIFs
Accompanist Coil supports GIFs through Coil's own GIF support. Follow the [setup instructions](https://coil-kt.github.io/coil/gifs/) and it should just work.
## Download
```groovy
repositories {
mavenCentral()
}
dependencies {
implementation "dev.chrisbanes.accompanist:accompanist-coil:<version>"
}
Snapshots of the development version are available in Sonatype's snapshots
repository. These are updated on every commit.
Eventually the goal is to upstream all of this functionality back to Coil. Jetpack Compose's development is currently moving very fast, which means that there are frequent API changes between releases. For now, it makes sense to keep this as a seperately released library to track the latest Compose release.