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* create image generation test app * updated to work with iterations and api * update new ui * split samples into multiples for image generation, got face plugin working * plugins working * solo app for plugins, lora, and diffusion * final features working * updates * update feedback * seed range removed, but positive only * add readme * fix paths * general cleanup --------- Co-authored-by: Duy Mai M <[email protected]>
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*.iml | ||
.gradle | ||
/local.properties | ||
/.idea/caches | ||
/.idea/libraries | ||
/.idea/modules.xml | ||
/.idea/workspace.xml | ||
/.idea/navEditor.xml | ||
/.idea/assetWizardSettings.xml | ||
.DS_Store | ||
/build | ||
/captures | ||
.externalNativeBuild | ||
.cxx | ||
local.properties |
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# MediaPipe Image Generation | ||
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This app is a demonstration and sample of using MediaPipe to generate new images based on a text input. | ||
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There are three primary ways that you can use this new demo and MediaPipe Task: | ||
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1. Standard diffusion to generate new images based on a text prompt. | ||
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![Diffusion example](images/diffusion.gif?raw=true "Diffusion example") | ||
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2. Diffusion with a plugin that works with other existing tasks and models to provide structure for your new generations. | ||
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![Plugin example](images/plugin.gif?raw=true "Plugin example") | ||
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3. Diffusion with Low-Rank Adaptation (LoRA) weights that allow you to create images of specific concepts that you pre-define for your unique use-cases. | ||
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![LoRA example](images/lora.gif?raw=true "LoRA example") | ||
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## Build the demo using Android Studio | ||
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To perform image generation, you will need to download or build an image model that uses the Stable Diffusion v1.5 architecture. You can find a list of open models on the [official documentation page](https://developers.google.com/mediapipe/solutions/vision/image_generator#install_and_run_the_image_generator_demo_app). | ||
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After you have your model downloaded, you can run the conversion script listed in the official documentation to prepare it for use with this sample application. You will also need to copy this converted model to your Android device. | ||
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Optionally, you can create a new set of weights to use with the LoRA option, adding a new and desired bias to your image generations. These weights will need to be stored on your Android device, and you can find a link to an official set of LoRA weights in the Task's documentation. | ||
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### Building | ||
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When your models/weights are ready, copy them to your development device. For this example the files are loaded into the `/data/local/tmp/image_generator/bins` directory. | ||
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To use the face, edge, or depth plugins, you will need additional models stored in the app's `assets` directory. These will be automatically downloaded and installed with your APK through the `download_models.gradle` build script located in this project. | ||
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An example weights file can be found [here](https://storage.googleapis.com/mediapipe-models/image_generator/LoRA_weights/teapot_lora.task) for the key term 'monadikos teapot'. |
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/build |
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plugins { | ||
id 'com.android.application' | ||
id 'org.jetbrains.kotlin.android' | ||
id 'de.undercouch.download' | ||
} | ||
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android { | ||
namespace 'com.google.mediapipe.examples.imagegeneration' | ||
compileSdk 33 | ||
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defaultConfig { | ||
applicationId "com.google.mediapipe.examples.imagegeneration" | ||
minSdk 24 | ||
targetSdk 33 | ||
versionCode 1 | ||
versionName "1.0" | ||
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testInstrumentationRunner "androidx.test.runner.AndroidJUnitRunner" | ||
} | ||
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buildTypes { | ||
release { | ||
minifyEnabled false | ||
proguardFiles getDefaultProguardFile('proguard-android-optimize.txt'), 'proguard-rules.pro' | ||
} | ||
} | ||
compileOptions { | ||
sourceCompatibility JavaVersion.VERSION_1_8 | ||
targetCompatibility JavaVersion.VERSION_1_8 | ||
} | ||
kotlinOptions { | ||
jvmTarget = '1.8' | ||
} | ||
buildFeatures { | ||
viewBinding true | ||
} | ||
} | ||
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// Downloads the TFLite and Task files used for plugins | ||
project.ext.ASSET_DIR = projectDir.toString() + '/src/main/assets' | ||
apply from: 'download_tasks.gradle' | ||
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dependencies { | ||
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implementation 'androidx.core:core-ktx:1.8.0' | ||
implementation 'androidx.appcompat:appcompat:1.6.1' | ||
implementation 'com.google.android.material:material:1.5.0' | ||
implementation 'androidx.constraintlayout:constraintlayout:2.1.4' | ||
implementation 'androidx.activity:activity-ktx:1.7.2' | ||
testImplementation 'junit:junit:4.13.2' | ||
androidTestImplementation 'androidx.test.ext:junit:1.1.5' | ||
androidTestImplementation 'androidx.test.espresso:espresso-core:3.5.1' | ||
implementation 'com.google.mediapipe:tasks-vision-image-generator:0.10.5.1' | ||
} |
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examples/image_generation/android/app/download_tasks.gradle
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/* | ||
* Copyright 2023 The TensorFlow Authors. All Rights Reserved. | ||
* | ||
* Licensed under the Apache License, Version 2.0 (the "License"); | ||
* you may not use this file except in compliance with the License. | ||
* You may obtain a copy of the License at | ||
* | ||
* http://www.apache.org/licenses/LICENSE-2.0 | ||
* | ||
* Unless required by applicable law or agreed to in writing, software | ||
* distributed under the License is distributed on an "AS IS" BASIS, | ||
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
* See the License for the specific language governing permissions and | ||
* limitations under the License. | ||
*/ | ||
task downloadFaceTaskFile(type: Download) { | ||
src 'https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task' | ||
dest project.ext.ASSET_DIR + '/face_landmarker.task' | ||
overwrite false | ||
} | ||
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task downloadFacePluginFile(type: Download) { | ||
src 'https://storage.googleapis.com/mediapipe-models/image_generator/plugin_models/float32/latest/face_landmark_plugin.tflite' | ||
dest project.ext.ASSET_DIR + '/face_landmark_plugin.tflite' | ||
overwrite false | ||
} | ||
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task downloadEdgePluginFile(type: Download) { | ||
src 'https://storage.googleapis.com/mediapipe-models/image_generator/plugin_models/float32/latest/canny_edge_plugin.tflite' | ||
dest project.ext.ASSET_DIR + '/canny_edge_plugin.tflite' | ||
overwrite false | ||
} | ||
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task downloadDepthModelFile(type: Download) { | ||
src 'https://storage.googleapis.com/mediapipe-models/image_generator/condition_image_models/float16/latest/depth_512_512_fp16_opt_w_metadata.tflite' | ||
dest project.ext.ASSET_DIR + '/depth_model.tflite' | ||
overwrite false | ||
} | ||
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task downloadDepthPluginFile(type: Download) { | ||
src 'https://storage.googleapis.com/mediapipe-models/image_generator/plugin_models/float32/latest/depth_plugin.tflite' | ||
dest project.ext.ASSET_DIR + '/depth_plugin.tflite' | ||
overwrite false | ||
} | ||
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preBuild.dependsOn downloadFaceTaskFile, downloadFacePluginFile, downloadEdgePluginFile, downloadDepthModelFile, downloadDepthPluginFile |
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# Add project specific ProGuard rules here. | ||
# You can control the set of applied configuration files using the | ||
# proguardFiles setting in build.gradle. | ||
# | ||
# For more details, see | ||
# http://developer.android.com/guide/developing/tools/proguard.html | ||
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# If your project uses WebView with JS, uncomment the following | ||
# and specify the fully qualified class name to the JavaScript interface | ||
# class: | ||
#-keepclassmembers class fqcn.of.javascript.interface.for.webview { | ||
# public *; | ||
#} | ||
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# Uncomment this to preserve the line number information for | ||
# debugging stack traces. | ||
#-keepattributes SourceFile,LineNumberTable | ||
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# If you keep the line number information, uncomment this to | ||
# hide the original source file name. | ||
#-renamesourcefileattribute SourceFile |
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examples/image_generation/android/app/src/main/AndroidManifest.xml
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<?xml version="1.0" encoding="utf-8"?> | ||
<manifest xmlns:android="http://schemas.android.com/apk/res/android" | ||
xmlns:tools="http://schemas.android.com/tools" > | ||
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<application | ||
android:allowBackup="true" | ||
android:icon="@mipmap/ic_launcher" | ||
android:label="@string/app_name" | ||
android:roundIcon="@mipmap/ic_launcher_round" | ||
android:supportsRtl="true" | ||
android:theme="@style/Theme.ImageGeneration" | ||
tools:targetApi="31" > | ||
<!-- Some devices, like the Pixel 6, may need to actively declare the use of native libs --> | ||
<uses-native-library android:name="libOpenCL.so" android:required="false" /> | ||
<uses-native-library android:name="libOpenCL-car.so" android:required="false"/> | ||
<uses-native-library android:name="libOpenCL-pixel.so" android:required="false" /> | ||
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<activity | ||
android:name=".MainActivity" | ||
android:exported="true" > | ||
<intent-filter> | ||
<action android:name="android.intent.action.MAIN" /> | ||
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<category android:name="android.intent.category.LAUNCHER" /> | ||
</intent-filter> | ||
</activity> | ||
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<activity android:name=".diffusion.DiffusionActivity" | ||
android:keepScreenOn="true" /> | ||
<activity android:name=".plugins.PluginActivity" | ||
android:keepScreenOn="true" /> | ||
<activity android:name=".loraweights.LoRAWeightActivity" | ||
android:keepScreenOn="true" /> | ||
</application> | ||
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</manifest> |
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