
Coil Compose
- 1 installs
- 910 repo stars
- Updated July 27, 2026
- new-silvermoon/awesome-android-skills
Guides image loading in Jetpack Compose with Coil, covering AsyncImage, rememberAsyncImagePainter, loading/error states, and image performance optimization.
About
Uses Coil for efficient image loading in Jetpack Compose via AsyncImage for common cases and rememberAsyncImagePainter for low-level painter control. A developer uses it when loading remote images, handling image states, or optimizing image performance in Compose.
- AsyncImage with placeholder/error and crossfade
- rememberAsyncImagePainter for Painter-based or manual state cases
Coil Compose by the numbers
- 1 all-time installs (skills.sh)
- Ranked #959 of 1,039 Mobile Development skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 1 |
|---|---|
| repo stars | ★ 910 |
| Last updated | July 27, 2026 |
| Repository | new-silvermoon/awesome-android-skills ↗ |
What it does
Guides image loading in Jetpack Compose with Coil, covering AsyncImage, rememberAsyncImagePainter, loading/error states, and image performance optimization.
Files
Coil for Jetpack Compose
Instructions
When implementing image loading in Jetpack Compose, use Coil (Coroutines Image Loader). It is the recommended library for Compose due to its efficiency and seamless integration.
1. Primary Composable: AsyncImage
Use AsyncImage for most use cases. It handles size resolution automatically and supports standard Image parameters.
AsyncImage(
model = ImageRequest.Builder(LocalContext.current)
.data("https://example.com/image.jpg")
.crossfade(true)
.build(),
placeholder = painterResource(R.drawable.placeholder),
error = painterResource(R.drawable.error),
contentDescription = stringResource(R.string.description),
contentScale = ContentScale.Crop,
modifier = Modifier.clip(CircleShape)
)2. Low-Level Control: rememberAsyncImagePainter
Use rememberAsyncImagePainter only when you need a Painter instead of a composable (e.g., for Canvas or Icon) or when you need to observe the loading state manually.
[!WARNING]
rememberAsyncImagePainterdoes not detect the size your image is loaded at on screen and always loads the image with its original dimensions by default. UseAsyncImageunless aPainteris strictly required.
val painter = rememberAsyncImagePainter(
model = ImageRequest.Builder(LocalContext.current)
.data("https://example.com/image.jpg")
.size(Size.ORIGINAL) // Explicitly define size if needed
.build()
)3. Slot API: SubcomposeAsyncImage
Use SubcomposeAsyncImage when you need a custom slot API for different states (Loading, Success, Error).
[!CAUTION]
Subcomposition is slower than regular composition. Avoid usingSubcomposeAsyncImagein performance-critical areas likeLazyColumnorLazyRow.
SubcomposeAsyncImage(
model = "https://example.com/image.jpg",
contentDescription = null,
loading = {
CircularProgressIndicator()
},
error = {
Icon(Icons.Default.Error, contentDescription = null)
}
)4. Performance & Best Practices
- Singleton ImageLoader: Use a single
ImageLoaderinstance for the entire app to share the disk/memory cache. - Main-Safe: Coil executes image requests on a background thread automatically.
- Crossfade: Always enable
crossfade(true)inImageRequestfor a smoother transition from placeholder to success. - Sizing: Ensure
contentScaleis set appropriately to avoid loading larger images than necessary.
5. Checklist for implementation
- [ ] Prefer
AsyncImageover other variants. - [ ] Always provide a meaningful
contentDescriptionor set it tonullfor decorative images. - [ ] Use
crossfade(true)for better UX. - [ ] Avoid
SubcomposeAsyncImagein lists. - [ ] Configure
ImageRequestfor specific needs like transformations (e.g.,CircleCropTransformation).