midjourney-images-compose-multiplatform
midjourney-images-compose-multiplatform copied to clipboard
This application is developed to display the images created by MidJourney. The application is developed with Compose Multiplatform and works on many platforms including Android and iOS platforms.
MidJourney Images Compose Multiplatform Mobile Application
Featured in Google dev library
This application is developed to display the images created by MidJourney. The application is developed with Compose Multiplatform and works on Android, iOS, Web, Wear OS, Android Automotive, Android TV platforms.
Libraries Used
- Compose Multiplatform
- Ktor
- Koin
- Kotlinx Serialization
- Kotlinx Coroutines
- Compose ImageLoader
- KMM-ViewModel
- Multiplatform Settings
![decisions](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/venn.png)
Consumer apps do not have any complex structures or operations. They use the common UI layer (including ViewModel) and are responsible for creating MjImagesApp. MjImagesApp and the dependency of this Composable, MjImagesViewModel, works as same on all platforms.
Requirements
- MacOS
- Environment must be installed as described in the link.
Android Application
Run the following command to compile the Android application:
./gradlew :androidApp:assembleDebug
iOS Application
After the project is built, the iOS application can be run on any emulator or device. Android Studio or Xcode can be used.
Wear OS Application
After the project is built, the Wear OS application can be run on any emulator or device.
./gradlew :wearApp:assembleDebug
![android-compose](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/wearos.png)
Android TV Application
After the project is built, the Android TV application can be run on any emulator or device.
./gradlew :televisionApp:assembleDebug
![android-compose](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/television.gif)
Android Automotive Application
After the project is built, the Android Automotive application can be run on any emulator (requires Android Studio Hedgehog) or device.
./gradlew :automotiveApp:assembleDebug
![android-compose](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/automotive.gif)
Desktop Application
This project can be built for Windows, Debian, and MacOS.
./gradlew desktopApp:run
Building native desktop distribution
./gradlew :desktop:packageDistributionForCurrentOS
# outputs are written to desktopApp/build/compose/binaries
![desktop-compose](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/desktop.gif)
Web Application
This project can be built for the Compose for Web(JS). Demo
./gradlew :webApp:jsBrowserDevelopmentRun
Building web distribution
./gradlew :webApp:jsBrowserDevelopmentExecutableDistribution
./gradlew :webApp:jsBrowserDistribution
Wasm Application
This project can be built for the Compose for Web(Wasm). Demo
./gradlew :wasmApp:wasmBrowserDevelopmentRun
Building wasm distribution
./gradlew :wasmApp:wasmBrowserDevelopmentExecutableDistribution
./gradlew :wasmApp:wasmJsBrowserDistribution
![web-compose](https://github.com/mbakgun/midjourney-images-compose-multiplatform/raw/master/image-assets/web.gif)
Testing
The application has Compose UI tests, Maestro UI tests, and unit tests. The unit tests are written under the common package with fake data. The UI tests are written under the androidTest package. The Maestro tests are written under the maestro package.
-
To run the unit tests, run the following command:
./gradlew :shared:cleanTestDebugUnitTest :shared:testDebugUnitTest
-
To run the Maestro Tests, execute the following command:
maestro test .maestro
-
To run the Android Instrumented UI tests, run the following command:
./gradlew :shared:connectedAndroidTest
API
The API used for the application is mj.akgns.com.
Translations
- Türkçe
- German
Medium
For more information, check out the Medium post.
Contributions 👏
Please feel free to open an issue; any contributions will be appreciated! Thank you in advance.
Contact
- Linkedin: https://www.linkedin.com/in/mbakgun
- Twitter: https://twitter.com/mbakguns
- Mastodon: https://androiddev.social/@mbakgun
License
MIT License
Copyright (c) 2023 Mehmet Burak Akgün
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.