Showing preview only (1,752K chars total). Download the full file or copy to clipboard to get everything.
Repository: cassiebreviu/StableDiffusion
Branch: main
Commit: 0dd55be2bc54
Files: 19
Total size: 1.6 MB
Directory structure:
gitextract_hsuh8rjz/
├── .gitignore
├── LICENSE
├── README.md
├── StableDiffusion/
│ ├── Program.cs
│ └── StableDiffusion.csproj
├── StableDiffusion.ML.OnnxRuntime/
│ ├── EulerAncestralDiscreteScheduler.cs
│ ├── LMSDiscreteScheduler.cs
│ ├── README.md
│ ├── SafetyChecker.cs
│ ├── SchedulerBase.cs
│ ├── StableDiffusion.ML.OnnxRuntime.csproj
│ ├── StableDiffusion.ML.OnnxRuntime.targets
│ ├── StableDiffusionConfig.cs
│ ├── TensorHelper.cs
│ ├── TextProcessing.cs
│ ├── UNet.cs
│ ├── VaeDecoder.cs
│ └── cliptokenizer.onnx
└── StableDiffusion.sln
================================================
FILE CONTENTS
================================================
================================================
FILE: .gitignore
================================================
## Ignore Visual Studio temporary files, build results, and
## files generated by popular Visual Studio add-ons.
##
## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore
# User-specific files
*.rsuser
*.suo
*.user
*.userosscache
*.sln.docstates
.vscode
# User-specific files (MonoDevelop/Xamarin Studio)
*.userprefs
# Mono auto generated files
mono_crash.*
# Build results
[Dd]ebug/
[Dd]ebugPublic/
[Rr]elease/
[Rr]eleases/
x64/
x86/
[Aa][Rr][Mm]/
[Aa][Rr][Mm]64/
bld/
[Bb]in/
[Oo]bj/
[Ll]og/
[Ll]ogs/
# Visual Studio 2015/2017 cache/options directory
.vs/
# Uncomment if you have tasks that create the project's static files in wwwroot
#wwwroot/
# Visual Studio 2017 auto generated files
Generated\ Files/
# MSTest test Results
[Tt]est[Rr]esult*/
[Bb]uild[Ll]og.*
# NUnit
*.VisualState.xml
TestResult.xml
nunit-*.xml
# Build Results of an ATL Project
[Dd]ebugPS/
[Rr]eleasePS/
dlldata.c
# Benchmark Results
BenchmarkDotNet.Artifacts/
# .NET Core
project.lock.json
project.fragment.lock.json
artifacts/
# StyleCop
StyleCopReport.xml
# Files built by Visual Studio
*_i.c
*_p.c
*_h.h
*.ilk
*.meta
*.obj
*.iobj
*.pch
*.pdb
*.ipdb
*.pgc
*.pgd
*.rsp
*.sbr
*.tlb
*.tli
*.tlh
*.tmp
*.tmp_proj
*_wpftmp.csproj
*.log
*.vspscc
*.vssscc
.builds
*.pidb
*.svclog
*.scc
# Chutzpah Test files
_Chutzpah*
# Visual C++ cache files
ipch/
*.aps
*.ncb
*.opendb
*.opensdf
*.sdf
*.cachefile
*.VC.db
*.VC.VC.opendb
# Visual Studio profiler
*.psess
*.vsp
*.vspx
*.sap
# Visual Studio Trace Files
*.e2e
# TFS 2012 Local Workspace
$tf/
# Guidance Automation Toolkit
*.gpState
# ReSharper is a .NET coding add-in
_ReSharper*/
*.[Rr]e[Ss]harper
*.DotSettings.user
# TeamCity is a build add-in
_TeamCity*
# DotCover is a Code Coverage Tool
*.dotCover
# AxoCover is a Code Coverage Tool
.axoCover/*
!.axoCover/settings.json
# Visual Studio code coverage results
*.coverage
*.coveragexml
# NCrunch
_NCrunch_*
.*crunch*.local.xml
nCrunchTemp_*
# MightyMoose
*.mm.*
AutoTest.Net/
# Web workbench (sass)
.sass-cache/
# Installshield output folder
[Ee]xpress/
# DocProject is a documentation generator add-in
DocProject/buildhelp/
DocProject/Help/*.HxT
DocProject/Help/*.HxC
DocProject/Help/*.hhc
DocProject/Help/*.hhk
DocProject/Help/*.hhp
DocProject/Help/Html2
DocProject/Help/html
# Click-Once directory
publish/
# Publish Web Output
*.[Pp]ublish.xml
*.azurePubxml
# Note: Comment the next line if you want to checkin your web deploy settings,
# but database connection strings (with potential passwords) will be unencrypted
*.pubxml
*.publishproj
# Microsoft Azure Web App publish settings. Comment the next line if you want to
# checkin your Azure Web App publish settings, but sensitive information contained
# in these scripts will be unencrypted
PublishScripts/
# NuGet Packages
*.nupkg
# NuGet Symbol Packages
*.snupkg
# The packages folder can be ignored because of Package Restore
**/[Pp]ackages/*
# except build/, which is used as an MSBuild target.
!**/[Pp]ackages/build/
# Uncomment if necessary however generally it will be regenerated when needed
#!**/[Pp]ackages/repositories.config
# NuGet v3's project.json files produces more ignorable files
*.nuget.props
*.nuget.targets
# Microsoft Azure Build Output
csx/
*.build.csdef
# Microsoft Azure Emulator
ecf/
rcf/
# Windows Store app package directories and files
AppPackages/
BundleArtifacts/
Package.StoreAssociation.xml
_pkginfo.txt
*.appx
*.appxbundle
*.appxupload
# Visual Studio cache files
# files ending in .cache can be ignored
*.[Cc]ache
# but keep track of directories ending in .cache
!?*.[Cc]ache/
# Others
ClientBin/
~$*
*~
*.dbmdl
*.dbproj.schemaview
*.jfm
*.pfx
*.publishsettings
orleans.codegen.cs
# Including strong name files can present a security risk
# (https://github.com/github/gitignore/pull/2483#issue-259490424)
#*.snk
# Since there are multiple workflows, uncomment next line to ignore bower_components
# (https://github.com/github/gitignore/pull/1529#issuecomment-104372622)
#bower_components/
# RIA/Silverlight projects
Generated_Code/
# Backup & report files from converting an old project file
# to a newer Visual Studio version. Backup files are not needed,
# because we have git ;-)
_UpgradeReport_Files/
Backup*/
UpgradeLog*.XML
UpgradeLog*.htm
ServiceFabricBackup/
*.rptproj.bak
# SQL Server files
*.mdf
*.ldf
*.ndf
# Business Intelligence projects
*.rdl.data
*.bim.layout
*.bim_*.settings
*.rptproj.rsuser
*- [Bb]ackup.rdl
*- [Bb]ackup ([0-9]).rdl
*- [Bb]ackup ([0-9][0-9]).rdl
# Microsoft Fakes
FakesAssemblies/
# GhostDoc plugin setting file
*.GhostDoc.xml
# Node.js Tools for Visual Studio
.ntvs_analysis.dat
node_modules/
# Visual Studio 6 build log
*.plg
# Visual Studio 6 workspace options file
*.opt
# Visual Studio 6 auto-generated workspace file (contains which files were open etc.)
*.vbw
# Visual Studio LightSwitch build output
**/*.HTMLClient/GeneratedArtifacts
**/*.DesktopClient/GeneratedArtifacts
**/*.DesktopClient/ModelManifest.xml
**/*.Server/GeneratedArtifacts
**/*.Server/ModelManifest.xml
_Pvt_Extensions
# Paket dependency manager
.paket/paket.exe
paket-files/
# FAKE - F# Make
.fake/
# CodeRush personal settings
.cr/personal
# Python Tools for Visual Studio (PTVS)
__pycache__/
*.pyc
# Cake - Uncomment if you are using it
# tools/**
# !tools/packages.config
# Tabs Studio
*.tss
# Telerik's JustMock configuration file
*.jmconfig
# BizTalk build output
*.btp.cs
*.btm.cs
*.odx.cs
*.xsd.cs
# OpenCover UI analysis results
OpenCover/
# Azure Stream Analytics local run output
ASALocalRun/
# MSBuild Binary and Structured Log
*.binlog
# NVidia Nsight GPU debugger configuration file
*.nvuser
# MFractors (Xamarin productivity tool) working folder
.mfractor/
# Local History for Visual Studio
.localhistory/
# BeatPulse healthcheck temp database
healthchecksdb
# Backup folder for Package Reference Convert tool in Visual Studio 2017
MigrationBackup/
# Ionide (cross platform F# VS Code tools) working folder
.ionide/
*.pb
model.onnx
/StableDiffusion/models
================================================
FILE: LICENSE
================================================
MIT License
Copyright (c) 2023 Cassie Breviu
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.
================================================
FILE: README.md
================================================
# Inference Stable Diffusion with C# and ONNX Runtime
This repo contains the logic to do inferencing for the popular Stable Diffusion deep learning model in C#. Stable Diffusion models take a text prompt and create an image that represents the text.
For the below example sentence the [CLIP model](https://huggingface.co/docs/transformers/model_doc/clip) creates a text embedding that connects text to image. A random noise image is created and then denoised with the `unet` model and scheduler algorithm to create an image that represents the text prompt. Lastly the decoder model `vae_decoder` is used to create a final image that is the result of the text prompt and the latent image.
```text
"make a picture of green tree with flowers around it and a red sky"
```
| Auto Generated Random Latent Seed Input | Resulting image output|
| :--- | :--- |
<img src="images/latent.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> | <img src="images/sample-output-stablediff.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> |
## More Images Created with this Repo:
| <img src="images/cat-sunglasses.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> | <img src="images/dog-beach-sample.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> |
| <img src="images/cabin.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> | <img src="images/shipwreck.png" width="256" height="256" alt="Image of browser inferencing on sample images."/> |
## Prerequisites
- [Visual Studio](https://visualstudio.microsoft.com/downloads/) or [VS Code](https://code.visualstudio.com/Download)
- A GPU enabled machine with CUDA or DirectML on Windows
- Configure CUDA EP. Follow [this tutorial to configure CUDA and cuDNN for GPU with ONNX Runtime and C# on Windows 11](https://onnxruntime.ai/docs/tutorials/csharp/csharp-gpu.html)
- Windows comes with DirectML support. No additional configuration is needed. Be sure to clone the [`direct-ML-EP`](https://github.com/cassiebreviu/StableDiffusion/tree/direct-ML-EP) branch of this repo if you choose this option.
- This was built on a GTX 3070 and it has not been tested on anything smaller.
- Clone this repo
```git
git clone https://github.com/cassiebreviu/StableDiffusion.git
```
## Use Hugging Face to download the Stable Diffusion models
Download the [ONNX Stable Diffusion models from Hugging Face](https://huggingface.co/models?sort=downloads&search=Stable+Diffusion).
- [Stable Diffusion Models v1.4](https://huggingface.co/CompVis/stable-diffusion-v1-4/tree/onnx)
- [Stable Diffusion Models v1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/onnx)
Once you have selected a model version repo, click `Files and Versions`, then select the `ONNX` branch. If there isn't an ONNX model branch available, use the `main` branch and convert it to ONNX. See the [ONNX conversion tutorial for PyTorch](https://learn.microsoft.com/windows/ai/windows-ml/tutorials/pytorch-convert-model) for more information.
- Clone the model repo:
```text
git lfs install
git clone https://huggingface.co/CompVis/stable-diffusion-v1-4 -b onnx
```
- Copy the folders with the ONNX files to the C# project folder `\StableDiffusion\StableDiffusion`. The folders to copy are: `unet`, `vae_decoder`, `text_encoder`, `safety_checker`.
- Set Build for x64
- Hit `F5` to run the project in Visual Studio or `dotnet run` in the terminal to run the project in VS Code.
_____________________
## Follow the full Stable Diffusion C# Tutorial for this Repo [here](https://onnxruntime.ai/docs/tutorials/csharp/stable-diffusion-csharp.html)
__________________________
## Resources
- [ONNX Runtime C# API Doc](https://onnxruntime.ai/docs/api/csharp/api)
- [Get Started with C# in ONNX Runtime](https://onnxruntime.ai/docs/get-started/with-csharp.html)
- [Hugging Face Stable Diffusion Blog](https://huggingface.co/blog/stable_diffusion)
- [Stable Diffusion C# Tutorial for this Repo](https://onnxruntime.ai/docs/tutorials/csharp/stable-diffusion-csharp.html)
================================================
FILE: StableDiffusion/Program.cs
================================================
using StableDiffusion.ML.OnnxRuntime;
namespace StableDiffusion
{
public class Program
{
static void Main(string[] args)
{
//test how long this takes to execute
var watch = System.Diagnostics.Stopwatch.StartNew();
//Default args
var prompt = "a fireplace in an old cabin in the woods";
Console.WriteLine(prompt);
var config = new StableDiffusionConfig
{
// Number of denoising steps
NumInferenceSteps = 15,
// Scale for classifier-free guidance
GuidanceScale = 7.5,
// Set your preferred Execution Provider. Currently (GPU, DirectML, CPU) are supported in this project.
// ONNX Runtime supports many more than this. Learn more here: https://onnxruntime.ai/docs/execution-providers/
// The config is defaulted to CUDA. You can override it here if needed.
// To use DirectML EP intall the Microsoft.ML.OnnxRuntime.DirectML and uninstall Microsoft.ML.OnnxRuntime.GPU
ExecutionProviderTarget = StableDiffusionConfig.ExecutionProvider.Cuda,
// Set GPU Device ID.
DeviceId = 0,
// Update paths to your models
TextEncoderOnnxPath = @"C:\code\StableDiffusion\StableDiffusion\models\text_encoder\model.onnx",
UnetOnnxPath = @"C:\code\StableDiffusion\StableDiffusion\models\unet\model.onnx",
VaeDecoderOnnxPath = @"C:\code\StableDiffusion\StableDiffusion\models\vae_decoder\model.onnx",
SafetyModelPath = @"C:\code\StableDiffusion\StableDiffusion\models\safety_checker\model.onnx",
};
// Inference Stable Diff
var image = UNet.Inference(prompt, config);
// If image failed or was unsafe it will return null.
if (image == null)
{
Console.WriteLine("Unable to create image, please try again.");
}
// Stop the timer
watch.Stop();
var elapsedMs = watch.ElapsedMilliseconds;
Console.WriteLine("Time taken: " + elapsedMs + "ms");
}
}
}
================================================
FILE: StableDiffusion/StableDiffusion.csproj
================================================
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFramework>net6.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<Platforms>AnyCPU;x64</Platforms>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\StableDiffusion.ML.OnnxRuntime\StableDiffusion.ML.OnnxRuntime.csproj" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.15.0" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Managed" Version="1.15.0" />
</ItemGroup>
</Project>
================================================
FILE: StableDiffusion.ML.OnnxRuntime/EulerAncestralDiscreteScheduler.cs
================================================
using Microsoft.ML.OnnxRuntime.Tensors;
using NumSharp;
namespace StableDiffusion.ML.OnnxRuntime
{
public class EulerAncestralDiscreteScheduler : SchedulerBase
{
private readonly string _predictionType;
public override float InitNoiseSigma { get; set; }
public int num_inference_steps;
public override List<int> Timesteps { get; set; }
public override Tensor<float> Sigmas { get; set; }
public EulerAncestralDiscreteScheduler(
int num_train_timesteps = 1000,
float beta_start = 0.00085f,
float beta_end = 0.012f,
string beta_schedule = "scaled_linear",
List<float> trained_betas = null,
string prediction_type = "epsilon"
) : base(num_train_timesteps)
{
var alphas = new List<float>();
var betas = new List<float>();
_predictionType = prediction_type;
if (trained_betas != null)
{
betas = trained_betas;
}
else if (beta_schedule == "linear")
{
betas = Enumerable.Range(0, num_train_timesteps).Select(i => beta_start + (beta_end - beta_start) * i / (num_train_timesteps - 1)).ToList();
}
else if (beta_schedule == "scaled_linear")
{
var start = (float)Math.Sqrt(beta_start);
var end = (float)Math.Sqrt(beta_end);
betas = np.linspace(start, end, num_train_timesteps).ToArray<float>().Select(x => x * x).ToList();
}
else
{
throw new Exception("beta_schedule must be one of 'linear' or 'scaled_linear'");
}
alphas = betas.Select(beta => 1 - beta).ToList();
this._alphasCumulativeProducts = alphas.Select((alpha, i) => alphas.Take(i + 1).Aggregate((a, b) => a * b)).ToList();
// Create sigmas as a list and reverse it
var sigmas = _alphasCumulativeProducts.Select(alpha_prod => Math.Sqrt((1 - alpha_prod) / alpha_prod)).Reverse().ToList();
// standard deviation of the initial noise distrubution
this.InitNoiseSigma = (float)sigmas.Max();
}
public override int[] SetTimesteps(int num_inference_steps)
{
double start = 0;
double stop = _numTrainTimesteps - 1;
double[] timesteps = np.linspace(start, stop, num_inference_steps).ToArray<double>();
this.Timesteps = timesteps.Select(x => (int)x).Reverse().ToList();
var sigmas = _alphasCumulativeProducts.Select(alpha_prod => Math.Sqrt((1 - alpha_prod) / alpha_prod)).Reverse().ToList();
var range = np.arange((double)0, (double)(sigmas.Count)).ToArray<double>();
sigmas = Interpolate(timesteps, range, sigmas).ToList();
this.InitNoiseSigma = (float)sigmas.Max();
this.Sigmas = new DenseTensor<float>(sigmas.Count());
for (int i = 0; i < sigmas.Count(); i++)
{
this.Sigmas[i] = (float)sigmas[i];
}
return this.Timesteps.ToArray();
}
public override DenseTensor<float> Step(Tensor<float> modelOutput,
int timestep,
Tensor<float> sample,
int order = 4)
{
if (!this.is_scale_input_called)
{
Console.WriteLine(
"The `scale_model_input` function should be called before `step` to ensure correct denoising. " +
"See `StableDiffusionPipeline` for a usage example."
);
}
int stepIndex = this.Timesteps.IndexOf((int)timestep);
var sigma = this.Sigmas[stepIndex];
// 1. compute predicted original sample (x_0) from sigma-scaled predicted noise
Tensor<float> predOriginalSample = null;
if (this._predictionType == "epsilon")
{
// pred_original_sample = sample - sigma * model_output
predOriginalSample = TensorHelper.SubtractTensors(sample,
TensorHelper.MultipleTensorByFloat(modelOutput, sigma));
}
else if (this._predictionType == "v_prediction")
{
// * c_out + input * c_skip
//predOriginalSample = modelOutput * (-sigma / Math.Pow(sigma * sigma + 1, 0.5)) + (sample / (sigma * sigma + 1));
throw new NotImplementedException($"prediction_type not implemented yet: {_predictionType}");
}
else if (this._predictionType == "sample")
{
throw new NotImplementedException($"prediction_type not implemented yet: {_predictionType}");
}
else
{
throw new ArgumentException(
$"prediction_type given as {this._predictionType} must be one of `epsilon`, or `v_prediction`"
);
}
float sigmaFrom = this.Sigmas[stepIndex];
float sigmaTo = this.Sigmas[stepIndex + 1];
var sigmaFromLessSigmaTo = (MathF.Pow(sigmaFrom, 2) - MathF.Pow(sigmaTo, 2));
var sigmaUpResult = (MathF.Pow(sigmaTo, 2) * sigmaFromLessSigmaTo) / MathF.Pow(sigmaFrom, 2);
var sigmaUp = sigmaUpResult < 0 ? -MathF.Pow(MathF.Abs(sigmaUpResult), 0.5f) : MathF.Pow(sigmaUpResult, 0.5f);
var sigmaDownResult = (MathF.Pow(sigmaTo, 2) - MathF.Pow(sigmaUp, 2));
var sigmaDown = sigmaDownResult < 0 ? -MathF.Pow(MathF.Abs(sigmaDownResult), 0.5f) : MathF.Pow(sigmaDownResult, 0.5f);
// 2. Convert to an ODE derivative
var sampleMinusPredOriginalSample = TensorHelper.SubtractTensors(sample, predOriginalSample);
DenseTensor<float> derivative = TensorHelper.DivideTensorByFloat(sampleMinusPredOriginalSample.ToArray(), sigma, predOriginalSample.Dimensions.ToArray());// (sample - predOriginalSample) / sigma;
float dt = sigmaDown - sigma;
DenseTensor<float> prevSample = TensorHelper.AddTensors(sample, TensorHelper.MultipleTensorByFloat(derivative, dt));// sample + derivative * dt;
//var noise = generator == null ? np.random.randn(modelOutput.shape) : np.random.RandomState(generator).randn(modelOutput.shape);
var noise = TensorHelper.GetRandomTensor(prevSample.Dimensions);
var noiseSigmaUpProduct = TensorHelper.MultipleTensorByFloat(noise, sigmaUp);
prevSample = TensorHelper.AddTensors(prevSample, noiseSigmaUpProduct);// prevSample + noise * sigmaUp;
return prevSample;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/LMSDiscreteScheduler.cs
================================================
using Microsoft.ML.OnnxRuntime.Tensors;
using MathNet.Numerics;
using NumSharp;
namespace StableDiffusion.ML.OnnxRuntime
{
public class LMSDiscreteScheduler : SchedulerBase
{
private int _numTrainTimesteps;
private string _predictionType;
public override Tensor<float> Sigmas { get; set; }
public override List<int> Timesteps { get; set; }
public List<Tensor<float>> Derivatives;
public override float InitNoiseSigma { get; set; }
public LMSDiscreteScheduler(int num_train_timesteps = 1000, float beta_start = 0.00085f, float beta_end = 0.012f, string beta_schedule = "scaled_linear", string prediction_type = "epsilon", List<float> trained_betas = null)
{
_numTrainTimesteps = num_train_timesteps;
_predictionType = prediction_type;
Derivatives = new List<Tensor<float>>();
Timesteps = new List<int>();
var alphas = new List<float>();
var betas = new List<float>();
if (trained_betas != null)
{
betas = trained_betas;
}
else if (beta_schedule == "linear")
{
betas = Enumerable.Range(0, num_train_timesteps).Select(i => beta_start + (beta_end - beta_start) * i / (num_train_timesteps - 1)).ToList();
}
else if (beta_schedule == "scaled_linear")
{
var start = (float)Math.Sqrt(beta_start);
var end = (float)Math.Sqrt(beta_end);
betas = np.linspace(start, end, num_train_timesteps).ToArray<float>().Select(x => x * x).ToList();
}
else
{
throw new Exception("beta_schedule must be one of 'linear' or 'scaled_linear'");
}
alphas = betas.Select(beta => 1 - beta).ToList();
this._alphasCumulativeProducts = alphas.Select((alpha, i) => alphas.Take(i + 1).Aggregate((a, b) => a * b)).ToList();
// Create sigmas as a list and reverse it
var sigmas = _alphasCumulativeProducts.Select(alpha_prod => Math.Sqrt((1 - alpha_prod) / alpha_prod)).Reverse().ToList();
// standard deviation of the initial noise distrubution
this.InitNoiseSigma = (float)sigmas.Max();
}
//python line 135 of scheduling_lms_discrete.py
public double GetLmsCoefficient(int order, int t, int currentOrder)
{
// Compute a linear multistep coefficient.
double LmsDerivative(double tau)
{
double prod = 1.0;
for (int k = 0; k < order; k++)
{
if (currentOrder == k)
{
continue;
}
prod *= (tau - this.Sigmas[t - k]) / (this.Sigmas[t - currentOrder] - this.Sigmas[t - k]);
}
return prod;
}
double integratedCoeff = Integrate.OnClosedInterval(LmsDerivative, this.Sigmas[t], this.Sigmas[t + 1], 1e-4);
return integratedCoeff;
}
// Line 157 of scheduling_lms_discrete.py from HuggingFace diffusers
public override int[] SetTimesteps(int num_inference_steps)
{
double start = 0;
double stop = _numTrainTimesteps - 1;
double[] timesteps = np.linspace(start, stop, num_inference_steps).ToArray<double>();
this.Timesteps = timesteps.Select(x => (int)x).Reverse().ToList();
var sigmas = _alphasCumulativeProducts.Select(alpha_prod => Math.Sqrt((1 - alpha_prod) / alpha_prod)).Reverse().ToList();
var range = np.arange((double)0, (double)(sigmas.Count)).ToArray<double>();
sigmas = Interpolate(timesteps, range, sigmas).ToList();
this.Sigmas = new DenseTensor<float>(sigmas.Count());
for (int i = 0; i < sigmas.Count(); i++)
{
this.Sigmas[i] = (float)sigmas[i];
}
return this.Timesteps.ToArray();
}
public override DenseTensor<float> Step(
Tensor<float> modelOutput,
int timestep,
Tensor<float> sample,
int order = 4)
{
int stepIndex = this.Timesteps.IndexOf(timestep);
var sigma = this.Sigmas[stepIndex];
// 1. compute predicted original sample (x_0) from sigma-scaled predicted noise
Tensor<float> predOriginalSample;
// Create array of type float length modelOutput.length
float[] predOriginalSampleArray = new float[modelOutput.Length];
var modelOutPutArray = modelOutput.ToArray();
var sampleArray = sample.ToArray();
if (this._predictionType == "epsilon")
{
for (int i=0; i < modelOutPutArray.Length; i++)
{
predOriginalSampleArray[i] = sampleArray[i] - sigma * modelOutPutArray[i];
}
predOriginalSample = TensorHelper.CreateTensor(predOriginalSampleArray, modelOutput.Dimensions.ToArray());
}
else if (this._predictionType == "v_prediction")
{
//predOriginalSample = modelOutput * ((-sigma / Math.Sqrt((Math.Pow(sigma,2) + 1))) + (sample / (Math.Pow(sigma,2) + 1)));
throw new Exception($"prediction_type given as {this._predictionType} not implemented yet.");
}
else
{
throw new Exception($"prediction_type given as {this._predictionType} must be one of `epsilon`, or `v_prediction`");
}
// 2. Convert to an ODE derivative
var derivativeItems = new DenseTensor<float>(sample.Dimensions.ToArray());
var derivativeItemsArray = new float[derivativeItems.Length];
for (int i = 0; i < modelOutPutArray.Length; i++)
{
//predOriginalSample = (sample - predOriginalSample) / sigma;
derivativeItemsArray[i] = (sampleArray[i] - predOriginalSampleArray[i]) / sigma;
}
derivativeItems = TensorHelper.CreateTensor(derivativeItemsArray, derivativeItems.Dimensions.ToArray());
this.Derivatives?.Add(derivativeItems);
if (this.Derivatives?.Count() > order)
{
// remove first element
this.Derivatives?.RemoveAt(0);
}
// 3. compute linear multistep coefficients
order = Math.Min(stepIndex + 1, order);
var lmsCoeffs = Enumerable.Range(0, order).Select(currOrder => GetLmsCoefficient(order, stepIndex, currOrder)).ToArray();
// 4. compute previous sample based on the derivative path
// Reverse list of tensors this.derivatives
var revDerivatives = Enumerable.Reverse(this.Derivatives).ToList();
// Create list of tuples from the lmsCoeffs and reversed derivatives
var lmsCoeffsAndDerivatives = lmsCoeffs.Zip(revDerivatives, (lmsCoeff, derivative) => (lmsCoeff, derivative));
// Create tensor for product of lmscoeffs and derivatives
var lmsDerProduct = new Tensor<float>[this.Derivatives.Count()];
for(int m = 0; m < lmsCoeffsAndDerivatives.Count(); m++)
{
var item = lmsCoeffsAndDerivatives.ElementAt(m);
// Multiply to coeff by each derivatives to create the new tensors
lmsDerProduct[m] = TensorHelper.MultipleTensorByFloat(item.derivative.ToArray(), (float)item.lmsCoeff, item.derivative.Dimensions.ToArray());
}
// Sum the tensors
var sumTensor = TensorHelper.SumTensors(lmsDerProduct, new[] { 1, 4, 64, 64 });
// Add the sumed tensor to the sample
var prevSample = TensorHelper.AddTensors(sample.ToArray(), sumTensor.ToArray(), sample.Dimensions.ToArray());
Console.WriteLine(prevSample[0]);
return prevSample;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/README.md
================================================
# Inference Stable Diffusion with C# and ONNX Runtime
This package contains the logic to do inferencing for the popular Stable Diffusion deep learning model in C#. Stable Diffusion models take a text prompt and create an image that represents the text.
# How to use this NuGet package
- Download the ONNX Stable Diffusion models from Hugging Face
- [Stable Diffusion Models v1.4](https://huggingface.co/CompVis/stable-diffusion-v1-4/tree/onnx)
- [Stable Diffusion Models v1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5/tree/onnx)
- Once you have selected a model version repo, click `Files and Versions`, then select the `ONNX` branch. If there isn't an ONNX model branch available, use the `main` branch and convert it to ONNX. See the [ONNX conversion tutorial for PyTorch](https://learn.microsoft.com/windows/ai/windows-ml/tutorials/pytorch-convert-model) for more information.
- Clone the model repo:
```text
git lfs install
git clone https://huggingface.co/CompVis/stable-diffusion-v1-4 -b onnx
```
- Copy the folders with the ONNX files to the C# project folder `models`. The folders to copy are: `unet`, `vae_decoder`, `text_encoder`, `safety_checker`.
- Install the following NuGets for DirectML
```xml
<PackageReference Include="Microsoft.ML" Version="2.0.1" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.DirectML" Version="1.14.1" />
```
- Cuda support coming soon.
- Sample logic for implementing in your project
```csharp
//Default args
var prompt = "a fireplace in an old cabin in the woods";
Console.WriteLine(prompt);
var config = new StableDiffusionConfig
{
// Number of denoising steps
NumInferenceSteps = 15,
// Scale for classifier-free guidance
GuidanceScale = 7.5,
// Set your preferred Execution Provider. Currently DirectML and CPU are supported.
ExecutionProviderTarget = StableDiffusionConfig.ExecutionProvider.DirectML,
// Set GPU Device ID.
DeviceId = 1,
// Update paths to your models
TextEncoderOnnxPath = @".\models\text_encoder\model.onnx",
UnetOnnxPath = @".\models\unet\model.onnx",
VaeDecoderOnnxPath = @".\models\vae_decoder\model.onnx",
SafetyModelPath = @".\models\safety_checker\model.onnx",
};
// Inference Stable Diff
var image = UNet.Inference(prompt, config);
// If image failed or was unsafe it will return null.
if (image == null)
{
Console.WriteLine("Unable to create image, please try again.");
}
```
- Set Build for x64
- Hit `F5` to run the project in Visual Studio or `dotnet run` in the terminal to run the project in VS Code.
__________________________
## Resources
- [ONNX Runtime C# API Doc](https://onnxruntime.ai/docs/api/csharp/api)
- [Get Started with C# in ONNX Runtime](https://onnxruntime.ai/docs/get-started/with-csharp.html)
- [Hugging Face Stable Diffusion Blog](https://huggingface.co/blog/stable_diffusion)
- [Stable Diffusion C# Tutorial for this Repo](https://onnxruntime.ai/docs/tutorials/csharp/stable-diffusion-csharp.html)
================================================
FILE: StableDiffusion.ML.OnnxRuntime/SafetyChecker.cs
================================================
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp;
using SixLabors.ImageSharp.Processing;
namespace StableDiffusion.ML.OnnxRuntime
{
public static class SafetyChecker
{
public static bool IsNotSafe(Tensor<float> resultImage, StableDiffusionConfig config)
{
//clip input
var inputTensor = ClipImageFeatureExtractor(resultImage, config);
//images input
var inputImagesTensor = ReorderTensor(inputTensor);
var input = new List<NamedOnnxValue> { //batch channel height width
NamedOnnxValue.CreateFromTensor("clip_input", inputTensor),
//batch, height, width, channel
NamedOnnxValue.CreateFromTensor("images", inputImagesTensor)};
var sessionOptions = config.GetSessionOptionsForEp();
var session = new InferenceSession(config.SafetyModelPath, sessionOptions);
// Run session and send the input data in to get inference output.
var output = session.Run(input);
var result = (output.ToList().Last().Value as IEnumerable<bool>).ToArray()[0];
return result;
}
private static DenseTensor<float> ReorderTensor(Tensor<float> inputTensor)
{
//reorder from batch channel height width to batch height width channel
var inputImagesTensor = new DenseTensor<float>(new[] { 1, 224, 224, 3 });
for (int y = 0; y < inputTensor.Dimensions[2]; y++)
{
for (int x = 0; x < inputTensor.Dimensions[3]; x++)
{
inputImagesTensor[0, y, x, 0] = inputTensor[0, 0, y, x];
inputImagesTensor[0, y, x, 1] = inputTensor[0, 1, y, x];
inputImagesTensor[0, y, x, 2] = inputTensor[0, 2, y, x];
}
}
return inputImagesTensor;
}
private static DenseTensor<float> ClipImageFeatureExtractor(Tensor<float> imageTensor, StableDiffusionConfig config)
{
// Read image
//using Image<Rgb24> image = Image.Load<Rgb24>(imageFilePath);
//convert tensor result to image
var image = new Image<Rgba32>(config.Width, config.Height);
for (var y = 0; y < config.Height; y++)
{
for (var x = 0; x < config.Width; x++)
{
image[x, y] = new Rgba32(
(byte)(Math.Round(Math.Clamp((imageTensor[0, 0, y, x] / 2 + 0.5), 0, 1) * 255)),
(byte)(Math.Round(Math.Clamp((imageTensor[0, 1, y, x] / 2 + 0.5), 0, 1) * 255)),
(byte)(Math.Round(Math.Clamp((imageTensor[0, 2, y, x] / 2 + 0.5), 0, 1) * 255))
);
}
}
// Resize image
image.Mutate(x =>
{
x.Resize(new ResizeOptions
{
Size = new Size(224, 224),
Mode = ResizeMode.Crop
});
});
// Preprocess image
var input = new DenseTensor<float>(new[] { 1, 3, 224, 224 });
var mean = new[] { 0.485f, 0.456f, 0.406f };
var stddev = new[] { 0.229f, 0.224f, 0.225f };
for (int y = 0; y < image.Height; y++)
{
Span<Rgba32> pixelSpan = image.GetPixelRowSpan(y);
for (int x = 0; x < image.Width; x++)
{
input[0, 0, y, x] = ((pixelSpan[x].R / 255f) - mean[0]) / stddev[0];
input[0, 1, y, x] = ((pixelSpan[x].G / 255f) - mean[1]) / stddev[1];
input[0, 2, y, x] = ((pixelSpan[x].B / 255f) - mean[2]) / stddev[2];
}
}
return input;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/SchedulerBase.cs
================================================
using Microsoft.ML.OnnxRuntime.Tensors;
using NumSharp;
namespace StableDiffusion.ML.OnnxRuntime
{
public abstract class SchedulerBase
{
protected readonly int _numTrainTimesteps;
protected List<float> _alphasCumulativeProducts;
public bool is_scale_input_called;
public abstract List<int> Timesteps { get; set; }
public abstract Tensor<float> Sigmas { get; set; }
public abstract float InitNoiseSigma { get; set; }
public SchedulerBase(int _numTrainTimesteps = 1000)
{
this._numTrainTimesteps = _numTrainTimesteps;
}
public static double[] Interpolate(double[] timesteps, double[] range, List<double> sigmas)
{
// Create an output array with the same shape as timesteps
var result = np.zeros(timesteps.Length + 1);
// Loop over each element of timesteps
for (int i = 0; i < timesteps.Length; i++)
{
// Find the index of the first element in range that is greater than or equal to timesteps[i]
int index = Array.BinarySearch(range, timesteps[i]);
// If timesteps[i] is exactly equal to an element in range, use the corresponding value in sigma
if (index >= 0)
{
result[i] = sigmas[index];
}
// If timesteps[i] is less than the first element in range, use the first value in sigmas
else if (index == -1)
{
result[i] = sigmas[0];
}
// If timesteps[i] is greater than the last element in range, use the last value in sigmas
else if (index == -range.Length - 1)
{
result[i] = sigmas[-1];
}
// Otherwise, interpolate linearly between two adjacent values in sigmas
else
{
index = ~index; // bitwise complement of j gives the insertion point of x[i]
double t = (timesteps[i] - range[index - 1]) / (range[index] - range[index - 1]); // fractional distance between two points
result[i] = sigmas[index - 1] + t * (sigmas[index] - sigmas[index - 1]); // linear interpolation formula
}
}
// add 0.000 to the end of the result
result = np.add(result, 0.000f);
return result.ToArray<double>();
}
public DenseTensor<float> ScaleInput(DenseTensor<float> sample, int timestep)
{
// Get step index of timestep from TimeSteps
int stepIndex = this.Timesteps.IndexOf(timestep);
// Get sigma at stepIndex
var sigma = this.Sigmas[stepIndex];
sigma = (float)Math.Sqrt((Math.Pow(sigma, 2) + 1));
// Divide sample tensor shape {2,4,64,64} by sigma
sample = TensorHelper.DivideTensorByFloat(sample.ToArray(), sigma, sample.Dimensions.ToArray());
is_scale_input_called = true;
return sample;
}
public abstract int[] SetTimesteps(int num_inference_steps);
public abstract DenseTensor<float> Step(
Tensor<float> modelOutput,
int timestep,
Tensor<float> sample,
int order = 4);
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/StableDiffusion.ML.OnnxRuntime.csproj
================================================
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup Label="Globals" Condition="'$(Configuration)|$(Platform)'=='Debug|AnyCPU'">
<Microsoft_AI_DirectML_SkipIncludeDir>False</Microsoft_AI_DirectML_SkipIncludeDir>
<Microsoft_AI_DirectML_SkipLink>False</Microsoft_AI_DirectML_SkipLink>
<Microsoft_AI_DirectML_SkipDebugLayerCopy>False</Microsoft_AI_DirectML_SkipDebugLayerCopy>
<Microsoft_AI_DirectML_SkipLibraryCopy>False</Microsoft_AI_DirectML_SkipLibraryCopy>
</PropertyGroup>
<PropertyGroup Label="Globals" Condition="'$(Configuration)|$(Platform)'=='Release|AnyCPU'">
<Microsoft_AI_DirectML_SkipIncludeDir>False</Microsoft_AI_DirectML_SkipIncludeDir>
<Microsoft_AI_DirectML_SkipLink>False</Microsoft_AI_DirectML_SkipLink>
<Microsoft_AI_DirectML_SkipDebugLayerCopy>False</Microsoft_AI_DirectML_SkipDebugLayerCopy>
<Microsoft_AI_DirectML_SkipLibraryCopy>False</Microsoft_AI_DirectML_SkipLibraryCopy>
</PropertyGroup>
<PropertyGroup>
<TargetFramework>net6.0</TargetFramework>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<GeneratePackageOnBuild>True</GeneratePackageOnBuild>
<Authors>Cassie Breviu</Authors>
<Version>1.1.2</Version>
<PackageOutputPath>C:\code\localnuget</PackageOutputPath>
<Description>A package with the logic for implementing Stable Diffusion Text-to-Image generative AI capabilities into your application leveraging OnnxRuntime.</Description>
<PackageProjectUrl>https://github.com/cassiebreviu/StableDiffusion</PackageProjectUrl>
<PackageId>StableDiffusion.ML.OnnxRuntime</PackageId>
<PackageReadmeFile>README.md</PackageReadmeFile>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="MathNet.Numerics" Version="5.0.0" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Extensions" Version="0.8.1-alpha" />
<PackageReference Include="NumSharp" Version="0.30.0" />
<PackageReference Include="SixLabors.ImageSharp" Version="1.0.3" />
<PackageReference Include="Microsoft.ML" Version="2.0.1" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.15.0" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Managed" Version="1.15.0" />
</ItemGroup>
<ItemGroup Label="FilesToCopy">
<Content Include="StableDiffusion.ML.OnnxRuntime.targets" PackagePath="build/StableDiffusion.ML.OnnxRuntime.targets" />
</ItemGroup>
<ItemGroup>
<None Include="README.md" Pack="true" PackagePath="\" />
</ItemGroup>
<ItemGroup>
<Compile Update="EulerAncestralDiscreteScheduler.cs">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</Compile>
</ItemGroup>
<ItemGroup>
<None Update="cliptokenizer.onnx">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
<PropertyGroup>
<PackageLicenseExpression>MIT</PackageLicenseExpression>
</PropertyGroup>
<Target Name="CopyOnnxFile" AfterTargets="Build">
<Copy SourceFiles="cliptokenizer.onnx" DestinationFolder="$(OutputPath)" />
</Target>
</Project>
================================================
FILE: StableDiffusion.ML.OnnxRuntime/StableDiffusion.ML.OnnxRuntime.targets
================================================
<Project xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
<ItemGroup>
<ModelFiles Include="$(MSBuildThisFileDirectory)..\content\cliptokenizer.onnx" />
</ItemGroup>
<Target Name="CopyModelFiles" BeforeTargets="Build">
<Copy SourceFiles="@(ModelFiles)" DestinationFolder="$(TargetDir)" />
</Target>
</Project>
================================================
FILE: StableDiffusion.ML.OnnxRuntime/StableDiffusionConfig.cs
================================================
using Microsoft.ML.OnnxRuntime;
namespace StableDiffusion.ML.OnnxRuntime
{
public class StableDiffusionConfig
{
public enum ExecutionProvider
{
DirectML = 0,
Cuda = 1,
Cpu = 2
}
// default props
public int NumInferenceSteps = 15;
public ExecutionProvider ExecutionProviderTarget = ExecutionProvider.Cuda;
public double GuidanceScale = 7.5;
public int Height = 512;
public int Width = 512;
public int DeviceId = 0;
public string TokenizerOnnxPath = "cliptokenizer.onnx";
public string TextEncoderOnnxPath = "";
public string UnetOnnxPath = "";
public string VaeDecoderOnnxPath = "";
public string SafetyModelPath = "";
// default directory for images
public string ImageOutputPath = "";
public SessionOptions GetSessionOptionsForEp()
{
var sessionOptions = new SessionOptions();
switch (this.ExecutionProviderTarget)
{
case ExecutionProvider.DirectML:
sessionOptions.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_ALL;
sessionOptions.EnableMemoryPattern = false;
sessionOptions.AppendExecutionProvider_DML(this.DeviceId);
sessionOptions.AppendExecutionProvider_CPU();
return sessionOptions;
case ExecutionProvider.Cpu:
sessionOptions.AppendExecutionProvider_CPU();
return sessionOptions;
default:
case ExecutionProvider.Cuda:
sessionOptions.GraphOptimizationLevel = GraphOptimizationLevel.ORT_ENABLE_ALL;
//default to CUDA, fall back on CPU if CUDA is not available.
sessionOptions.AppendExecutionProvider_CUDA(this.DeviceId);
sessionOptions.AppendExecutionProvider_CPU();
//sessionOptions = SessionOptions.MakeSessionOptionWithCudaProvider(cudaProviderOptions);
return sessionOptions;
}
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/TensorHelper.cs
================================================
using Microsoft.ML.OnnxRuntime.Tensors;
namespace StableDiffusion.ML.OnnxRuntime
{
public class TensorHelper
{
public static DenseTensor<T> CreateTensor<T>(T[] data, int[] dimensions)
{
return new DenseTensor<T>(data, dimensions); ;
}
public static DenseTensor<float> DivideTensorByFloat(float[] data, float value, int[] dimensions)
{
for (int i = 0; i < data.Length; i++)
{
data[i] = data[i] / value;
}
return CreateTensor(data, dimensions);
}
public static DenseTensor<float> MultipleTensorByFloat(float[] data, float value, int[] dimensions)
{
for (int i = 0; i < data.Length; i++)
{
data[i] = data[i] * value;
}
return CreateTensor(data, dimensions);
}
public static DenseTensor<float> MultipleTensorByFloat(Tensor<float> data, float value)
{
return MultipleTensorByFloat(data.ToArray(), value, data.Dimensions.ToArray());
}
public static DenseTensor<float> AddTensors(float[] sample, float[] sumTensor, int[] dimensions)
{
for(var i=0; i < sample.Length; i++)
{
sample[i] = sample[i] + sumTensor[i];
}
return CreateTensor(sample, dimensions); ;
}
public static DenseTensor<float> AddTensors(Tensor<float> sample, Tensor<float> sumTensor)
{
return AddTensors(sample.ToArray(), sumTensor.ToArray(), sample.Dimensions.ToArray());
}
public static Tuple<Tensor<float>, Tensor<float>> SplitTensor(Tensor<float> tensorToSplit, int[] dimensions)
{
var tensor1 = new DenseTensor<float>(dimensions);
var tensor2 = new DenseTensor<float>(dimensions);
for (int i = 0; i < 1; i++)
{
for (int j = 0; j < 4; j++)
{
for (int k = 0; k < 512 / 8; k++)
{
for (int l = 0; l < 512 / 8; l++)
{
tensor1[i, j, k, l] = tensorToSplit[i, j, k, l];
tensor2[i, j, k, l] = tensorToSplit[i, j + 4, k, l];
}
}
}
}
return new Tuple<Tensor<float>, Tensor<float>>(tensor1, tensor2);
}
public static DenseTensor<float> SumTensors(Tensor<float>[] tensorArray, int[] dimensions)
{
var sumTensor = new DenseTensor<float>(dimensions);
var sumArray = new float[sumTensor.Length];
for (int m = 0; m < tensorArray.Count(); m++)
{
var tensorToSum = tensorArray[m].ToArray();
for (var i = 0; i < tensorToSum.Length; i++)
{
sumArray[i] += (float)tensorToSum[i];
}
}
return CreateTensor(sumArray, dimensions);
}
public static DenseTensor<float> Duplicate(float[] data, int[] dimensions)
{
data = data.Concat(data).ToArray();
return CreateTensor(data, dimensions);
}
public static DenseTensor<float> SubtractTensors(float[] sample, float[] subTensor, int[] dimensions)
{
for (var i = 0; i < sample.Length; i++)
{
sample[i] = sample[i] - subTensor[i];
}
return CreateTensor(sample, dimensions);
}
public static DenseTensor<float> SubtractTensors(Tensor<float> sample, Tensor<float> subTensor)
{
return SubtractTensors(sample.ToArray(), subTensor.ToArray(), sample.Dimensions.ToArray());
}
public static Tensor<float> GetRandomTensor(ReadOnlySpan<int> dimensions)
{
var random = new Random();
var latents = new DenseTensor<float>(dimensions);
var latentsArray = latents.ToArray();
for (int i = 0; i < latentsArray.Length; i++)
{
// Generate a random number from a normal distribution with mean 0 and variance 1
var u1 = random.NextDouble(); // Uniform(0,1) random number
var u2 = random.NextDouble(); // Uniform(0,1) random number
var radius = Math.Sqrt(-2.0 * Math.Log(u1)); // Radius of polar coordinates
var theta = 2.0 * Math.PI * u2; // Angle of polar coordinates
var standardNormalRand = radius * Math.Cos(theta); // Standard normal random number
latentsArray[i] = (float)standardNormalRand;
}
latents = TensorHelper.CreateTensor(latentsArray, latents.Dimensions.ToArray());
return latents;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/TextProcessing.cs
================================================
using Microsoft.ML.OnnxRuntime.Tensors;
using Microsoft.ML.OnnxRuntime;
namespace StableDiffusion.ML.OnnxRuntime
{
public static class TextProcessing
{
public static DenseTensor<float> PreprocessText(String prompt, StableDiffusionConfig config)
{
// Load the tokenizer and text encoder to tokenize and encode the text.
var textTokenized = TokenizeText(prompt, config);
var textPromptEmbeddings = TextEncoder(textTokenized, config).ToArray();
// Create uncond_input of blank tokens
var uncondInputTokens = CreateUncondInput();
var uncondEmbedding = TextEncoder(uncondInputTokens, config).ToArray();
// Concant textEmeddings and uncondEmbedding
DenseTensor<float> textEmbeddings = new DenseTensor<float>(new[] { 2, 77, 768 });
for (var i = 0; i < textPromptEmbeddings.Length; i++)
{
textEmbeddings[0, i / 768, i % 768] = uncondEmbedding[i];
textEmbeddings[1, i / 768, i % 768] = textPromptEmbeddings[i];
}
return textEmbeddings;
}
public static int[] TokenizeText(string text, StableDiffusionConfig config)
{
// Create session options for custom op of extensions
var sessionOptions = new SessionOptions();
sessionOptions.RegisterOrtExtensions();
// Create an InferenceSession from the onnx clip tokenizer.
var tokenizeSession = new InferenceSession(config.TokenizerOnnxPath, sessionOptions);
var inputTensor = new DenseTensor<string>(new string[] { text }, new int[] { 1 });
var inputString = new List<NamedOnnxValue> { NamedOnnxValue.CreateFromTensor<string>("string_input", inputTensor) };
// Run session and send the input data in to get inference output.
var tokens = tokenizeSession.Run(inputString);
var inputIds = (tokens.ToList().First().Value as IEnumerable<long>).ToArray();
Console.WriteLine(String.Join(" ", inputIds));
// Cast inputIds to Int32
var InputIdsInt = inputIds.Select(x => (int)x).ToArray();
var modelMaxLength = 77;
// Pad array with 49407 until length is modelMaxLength
if (InputIdsInt.Length < modelMaxLength)
{
var pad = Enumerable.Repeat(49407, 77 - InputIdsInt.Length).ToArray();
InputIdsInt = InputIdsInt.Concat(pad).ToArray();
}
return InputIdsInt;
}
public static int[] CreateUncondInput()
{
// Create an array of empty tokens for the unconditional input.
var blankTokenValue = 49407;
var modelMaxLength = 77;
var inputIds = new List<Int32>();
inputIds.Add(49406);
var pad = Enumerable.Repeat(blankTokenValue, modelMaxLength - inputIds.Count()).ToArray();
inputIds.AddRange(pad);
return inputIds.ToArray();
}
public static DenseTensor<float> TextEncoder(int[] tokenizedInput, StableDiffusionConfig config)
{
// Create input tensor.
var input_ids = TensorHelper.CreateTensor(tokenizedInput, new[] { 1, tokenizedInput.Count() });
var input = new List<NamedOnnxValue> { NamedOnnxValue.CreateFromTensor<int>("input_ids", input_ids) };
// Set CUDA EP
var sessionOptions = config.GetSessionOptionsForEp();
var encodeSession = new InferenceSession(config.TextEncoderOnnxPath, sessionOptions);
// Run inference.
var encoded = encodeSession.Run(input);
var lastHiddenState = (encoded.ToList().First().Value as IEnumerable<float>).ToArray();
var lastHiddenStateTensor = TensorHelper.CreateTensor(lastHiddenState.ToArray(), new[] { 1, 77, 768 });
return lastHiddenStateTensor;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/UNet.cs
================================================
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;
using System.Diagnostics;
namespace StableDiffusion.ML.OnnxRuntime
{
public class UNet
{
public static List<NamedOnnxValue> CreateUnetModelInput(Tensor<float> encoderHiddenStates, Tensor<float> sample, long timeStep)
{
var input = new List<NamedOnnxValue> {
NamedOnnxValue.CreateFromTensor("encoder_hidden_states", encoderHiddenStates),
NamedOnnxValue.CreateFromTensor("sample", sample),
NamedOnnxValue.CreateFromTensor("timestep", new DenseTensor<long>(new long[] { timeStep }, new int[] { 1 }))
};
return input;
}
public static Tensor<float> GenerateLatentSample(StableDiffusionConfig config, int seed, float initNoiseSigma)
{
return GenerateLatentSample(config.Height, config.Width, seed, initNoiseSigma);
}
public static Tensor<float> GenerateLatentSample(int height, int width, int seed, float initNoiseSigma)
{
var random = new Random(seed);
var batchSize = 1;
var channels = 4;
var latents = new DenseTensor<float>(new[] { batchSize, channels, height / 8, width / 8 });
var latentsArray = latents.ToArray();
for (int i = 0; i < latentsArray.Length; i++)
{
// Generate a random number from a normal distribution with mean 0 and variance 1
var u1 = random.NextDouble(); // Uniform(0,1) random number
var u2 = random.NextDouble(); // Uniform(0,1) random number
var radius = Math.Sqrt(-2.0 * Math.Log(u1)); // Radius of polar coordinates
var theta = 2.0 * Math.PI * u2; // Angle of polar coordinates
var standardNormalRand = radius * Math.Cos(theta); // Standard normal random number
// add noise to latents with * scheduler.init_noise_sigma
// generate randoms that are negative and positive
latentsArray[i] = (float)standardNormalRand * initNoiseSigma;
}
latents = TensorHelper.CreateTensor(latentsArray, latents.Dimensions.ToArray());
return latents;
}
private static Tensor<float> performGuidance(Tensor<float> noisePred, Tensor<float> noisePredText, double guidanceScale)
{
for (int i = 0; i < noisePred.Dimensions[0]; i++)
{
for (int j = 0; j < noisePred.Dimensions[1]; j++)
{
for (int k = 0; k < noisePred.Dimensions[2]; k++)
{
for (int l = 0; l < noisePred.Dimensions[3]; l++)
{
noisePred[i, j, k, l] = noisePred[i, j, k, l] + (float)guidanceScale * (noisePredText[i, j, k, l] - noisePred[i, j, k, l]);
}
}
}
}
return noisePred;
}
public static SixLabors.ImageSharp.Image Inference(String prompt, StableDiffusionConfig config)
{
// Preprocess text
var textEmbeddings = TextProcessing.PreprocessText(prompt, config);
var scheduler = new LMSDiscreteScheduler();
//var scheduler = new EulerAncestralDiscreteScheduler();
var timesteps = scheduler.SetTimesteps(config.NumInferenceSteps);
// If you use the same seed, you will get the same image result.
var seed = new Random().Next();
//var seed = 329922609;
Console.WriteLine($"Seed generated: {seed}");
// create latent tensor
var latents = GenerateLatentSample(config, seed, scheduler.InitNoiseSigma);
var sessionOptions = config.GetSessionOptionsForEp();
// Create Inference Session
var unetSession = new InferenceSession(config.UnetOnnxPath, sessionOptions);
var input = new List<NamedOnnxValue>();
for (int t = 0; t < timesteps.Length; t++)
{
// torch.cat([latents] * 2)
var latentModelInput = TensorHelper.Duplicate(latents.ToArray(), new[] { 2, 4, config.Height / 8, config.Width / 8 });
// latent_model_input = scheduler.scale_model_input(latent_model_input, timestep = t)
latentModelInput = scheduler.ScaleInput(latentModelInput, timesteps[t]);
Console.WriteLine($"scaled model input {latentModelInput[0]} at step {t}. Max {latentModelInput.Max()} Min{latentModelInput.Min()}");
input = CreateUnetModelInput(textEmbeddings, latentModelInput, timesteps[t]);
// Run Inference
var output = unetSession.Run(input);
var outputTensor = (output.ToList().First().Value as DenseTensor<float>);
// Split tensors from 2,4,64,64 to 1,4,64,64
var splitTensors = TensorHelper.SplitTensor(outputTensor, new[] { 1, 4, config.Height / 8, config.Width / 8 });
var noisePred = splitTensors.Item1;
var noisePredText = splitTensors.Item2;
// Perform guidance
noisePred = performGuidance(noisePred, noisePredText, config.GuidanceScale);
// LMS Scheduler Step
latents = scheduler.Step(noisePred, timesteps[t], latents);
Console.WriteLine($"latents result after step {t} min {latents.Min()} max {latents.Max()}");
}
// Scale and decode the image latents with vae.
// latents = 1 / 0.18215 * latents
latents = TensorHelper.MultipleTensorByFloat(latents.ToArray(), (1.0f / 0.18215f), latents.Dimensions.ToArray());
var decoderInput = new List<NamedOnnxValue> { NamedOnnxValue.CreateFromTensor("latent_sample", latents) };
// Decode image
var imageResultTensor = VaeDecoder.Decoder(decoderInput, config);
var isNotSafe = SafetyChecker.IsNotSafe(imageResultTensor, config);
if (isNotSafe)
{
return null;
}
var image = VaeDecoder.ConvertToImage(imageResultTensor, config);
return image;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/VaeDecoder.cs
================================================
using Microsoft.ML.OnnxRuntime;
using Microsoft.ML.OnnxRuntime.Tensors;
using SixLabors.ImageSharp.PixelFormats;
using SixLabors.ImageSharp;
namespace StableDiffusion.ML.OnnxRuntime
{
public static class VaeDecoder
{
public static Tensor<float> Decoder(List<NamedOnnxValue> input, StableDiffusionConfig config)
{
config.ExecutionProviderTarget = StableDiffusionConfig.ExecutionProvider.Cpu;
var sessionOptions = config.GetSessionOptionsForEp();
// Create an InferenceSession from the Model Path.
var vaeDecodeSession = new InferenceSession(config.VaeDecoderOnnxPath, sessionOptions);
// Run session and send the input data in to get inference output.
var output = vaeDecodeSession.Run(input);
var result = (output.ToList().First().Value as Tensor<float>);
return result;
}
// create method to convert float array to an image with imagesharp
public static Image<Rgba32> ConvertToImage(Tensor<float> output, StableDiffusionConfig config, int width = 512, int height = 512)
{
var result = new Image<Rgba32>(width, height);
for (var y = 0; y < height; y++)
{
for (var x = 0; x < width; x++)
{
result[x, y] = new Rgba32(
(byte)(Math.Round(Math.Clamp((output[0, 0, y, x] / 2 + 0.5), 0, 1) * 255)),
(byte)(Math.Round(Math.Clamp((output[0, 1, y, x] / 2 + 0.5), 0, 1) * 255)),
(byte)(Math.Round(Math.Clamp((output[0, 2, y, x] / 2 + 0.5), 0, 1) * 255))
);
}
}
var imageName = $"sd_image_{DateTime.Now.ToString("yyyyMMddHHmm")}.png";
var imagePath = Path.Combine(Directory.GetCurrentDirectory(), config.ImageOutputPath, imageName);
result.Save(imagePath);
Console.WriteLine($"Image saved to: {imagePath}");
return result;
}
}
}
================================================
FILE: StableDiffusion.ML.OnnxRuntime/cliptokenizer.onnx
================================================
:f
f
string_input input_idsattention_maskbpetok"
CLIPTokenizer*ـ#
merges"ʀ##version: 0.2
i n
t h
a n
r e
a r
e r
th e</w>
in g</w>
o u
o n
s t
o r
e n
o n</w>
a l
a t
e r</w>
i t
i n</w>
t o</w>
r o
i s</w>
l e
i c
a t</w>
an d</w>
e d</w>
o f</w>
c h
o r</w>
e s</w>
i l
e l
s t</w>
a c
o m
a m
l o
a n</w>
a y</w>
s h
r i
l i
t i
f or</w>
n e
ð Ł
r a
h a
d e
o l
v e</w>
s i
u r
a l</w>
s e
' s</w>
u n
d i
b e
l a
w h
o o
d ay</w>
e n</w>
m a
n o
l e</w>
t o
ou r</w>
i r
g h
w it
i t</w>
y o
a s
s p
th is</w>
t s</w>
at i
yo u</w>
wit h</w>
a d
i s
a b
l y</w>
w e
th e
t e
a s</w>
a g
v i
p p
s u
h o
m y</w>
. .
b u
c om
s e</w>
er s</w>
m e
m e</w>
al l</w>
c on
m o
k e</w>
g e
ou t</w>
en t</w>
c o
f e
v er
a r</w>
f ro
a u
p o
c e</w>
gh t</w>
ar e</w>
s s</w>
fro m</w>
c h</w>
t r
ou n
on e</w>
b y</w>
d o
t h</w>
w or
er e</w>
k e
p ro
f or
d s</w>
b o
t a
w e</w>
g o
h e
t er</w>
in g
d e</w>
b e</w>
ati on</w>
m or
a y
e x
il l</w>
p e
k s</w>
s c
l u
f u
q u
v er</w>
ðŁ ĺ
j u
m u
at e</w>
an d
v e
k ing</w>
m ar
o p
h i
.. .</w>
p re
a d</w>
r u
th at</w>
j o
o f
c e
ne w</w>
a m</w>
a p
g re
s s
d u
no w</w>
y e
t ing</w>
y our</w>
it y</w>
n i
c i
p ar
g u
f i
a f
p er
t er
u p</w>
s o</w>
g i
on s</w>
g r
g e</w>
b r
p l
' t</w>
m i
in e</w>
we e
b i
u s</w>
sh o
ha ve</w>
to day</w>
a v
m an
en t
ac k</w>
ur e</w>
ou r
â Ģ
c u
l d</w>
lo o
i m
ic e</w>
s om
f in
re d</w>
re n
oo d</w>
w as</w>
ti on</w>
p i
i r</w>
th er</w>
t y</w>
p h
ar d</w>
e c
! !</w>
m on
mor e</w>
w ill</w>
t ra
c an</w>
c ol
p u
t e</w>
w n</w>
m b
s o
it i
ju st</w>
n ing</w>
h ere</w>
t u
p a
p r
bu t</w>
wh at</w>
al ly</w>
f ir
m in
c a
an t</w>
s a
t ed</w>
e v
m ent</w>
f a
ge t</w>
am e</w>
ab out</w>
g ra
no t</w>
ha pp
ay s</w>
m an</w>
h is</w>
ti me</w>
li ke</w>
g h</w>
ha s</w>
th an
lo ve</w>
ar t</w>
st e
d ing</w>
h e</w>
c re
w s</w>
w at
d er</w>
it e</w>
s er
ac e</w>
ag e</w>
en d</w>
st r
a w
st or
r e</w>
c ar
el l</w>
al l
p s</w>
f ri
p ho
p or
d o</w>
a k
w i
f re
wh o</w>
sh i
b oo
s on</w>
el l
wh en</w>
il l
ho w</w>
gre at</w>
w in
e l</w>
b l
s si
al i
som e</w>
ðŁ Ĵ
t on
d er
le s</w>
p la
ï ¸
e d
s ch
h u
on g</w>
d on</w>
k i
s h</w>
an n
c or
. .</w>
oun d</w>
a z
in e
ar y</w>
fu l</w>
st u
ou ld</w>
st i
g o</w>
se e</w>
ab le</w>
ar s</w>
l l</w>
m is
b er
c k</w>
w a
en ts</w>
n o</w>
si g
f e</w>
fir st</w>
e t</w>
sp e
ac k
i f</w>
ou s</w>
' m</w>
st er</w>
a pp
an g
an ce</w>
an s</w>
g ood</w>
b re
e ver
the y</w>
t ic
com e</w>
of f
b ack</w>
as e</w>
ing s</w>
ol d</w>
i ght</w>
f o
h er</w>
happ y</w>
p ic
it s</w>
v ing</w>
u s
m at
h om
d y</w>
e m
s k
y ing</w>
the ir</w>
le d</w>
r y</w>
u l
h ar
c k
t on</w>
on al</w>
h el
r ic
b ir
vi e
w ay</w>
t ri
d a
p le
b ro
st o
oo l</w>
ni ght</w>
tr u
b a
re ad
re s</w>
ye ar</w>
f r
t or
al s</w>
c oun
c la
t ure</w>
v el
at ed</w>
le c
en d
th ing</w>
v o
ic i
be st</w>
c an
wor k</w>
la st</w>
af ter</w>
en ce</w>
p ri
p e</w>
e s
i l</w>
âĢ ¦</w>
d re
y s</w>
o ver</w>
i es</w>
ðŁ ij
com m
t w
in k</w>
s un
c l
li fe</w>
t t
a ch
l and</w>
s y
t re
t al
p ol
s m
du c
s al
f t</w>
' re</w>
ch e
w ar
t ur
ati ons</w>
ac h</w>
m s</w>
il e</w>
p m</w>
ou gh</w>
at e
st ar
wee k</w>
! !!</w>
c lu
th ere</w>
n er</w>
t om
s el
ï¸ ı</w>
wor ld</w>
v es</w>
c am
go t</w>
in ter
of f</w>
u m</w>
ton ight</w>
o ther</w>
h ou
loo k</w>
j e
i d</w>
si on</w>
be au
at t
el i
or t</w>
re c
f f
st er
su pp
g en
be en</w>
il y</w>
te am</w>
m m
i c</w>
pe op
it t
at s</w>
on ly</w>
mb er</w>
en g
b ri
m p
k now</w>
b ur
b ar
in s</w>
lo w</w>
sh e</w>
ro w</w>
â Ŀ
t ro
peop le</w>
vi a</w>
lo w
ag a
be t
x t</w>
f ac
ch ar
e ar
w al
s en
f am
b le</w>
n ati
is h</w>
n or
g ame</w>
li ve</w>
s co
le y</w>
d on
ic k</w>
b all</w>
ver y</w>
the se</w>
p an
i a</w>
at ing</w>
c r
a re
g ir
ma ke</w>
st re
sho w</w>
. "</w>
f l
u p
d r
than ks</w>
il li
w om
st s</w>
i g
s ur
ever y
c ur
vie w</w>
le t</w>
in to</w>
mo st</w>
n a
in di
g ar
ha d</w>
s ou
v ed</w>
an t
iti on</w>
ma de</w>
f ol
un i
it ed</w>
ðŁ ı
ic al</w>
th r
read y</w>
ch ec
d ra
k es</w>
boo k</w>
e p</w>
si c</w>
mor ning</w>
ne ws</w>
c au
c t</w>
w ell</w>
an c
pho to</w>
th an</w>
or s</w>
bir th
g g
ou t
ne xt</w>
som e
en ing</w>
stor y</w>
ch ri
do wn</w>
hom e</w>
f fe
fre e</w>
d a</w>
b or
f il
ci al</w>
than k</w>
si de</w>
le ar
qu e
l ine</w>
t en
at es</w>
ye ars</w>
m y
pho to
beau ti
ri ght</w>
n u
for m
shi p</w>
b an
th er
d ays</w>
g am
as on</w>
g y</w>
ðŁ İ
birth day</w>
se t</w>
ic k
e t
st ill</w>
com ing</w>
ta ke</w>
ðŁ ĩ
b b
s ol
s on
d en
e p
mu sic</w>
the m</w>
de n</w>
wh y</w>
f oo
c ra
am az
w n
h ol
t ting</w>
w r
u e</w>
ma g
c ro
l an
c lo
b ra
a k</w>
s ing</w>
c al
re ad</w>
' ve</w>
jo h
b ab
d ri
b lo
bi g</w>
er ic
in t</w>
t or</w>
tr y</w>
l a</w>
le g
hou se</w>
m ic
v al
beauti ful</w>
l itt
chec k</w>
ne w
ver s
s w
ar i
pla y
h er
âĢ ĵ</w>
w in</w>
m a</w>
con gr
sch ool</w>
f un
. @</w>
he al
ic h</w>
d el
wh ere</w>
l on
ke t</w>
tw o</w>
mu ch</w>
wat ch</w>
v en
d ed</w>
a st</w>
k ed</w>
b as
go ing</w>
m p</w>
e ver</w>
w ays</w>
ro o
de sig
l y
s ed</w>
to p</w>
l in
ch an
to o</w>
it ing</w>
d ent</w>
gh ts</w>
t y
sp o
ne ed</w>
b lu
in st
be ing</w>
âĿ ¤
w el
l s</w>
hi m</w>
m ay</w>
st ing</w>
n a</w>
el y</w>
litt le</w>
g a
n at
tom or
m c
h on
w ant</w>
a ir
pi c</w>
am eric
p er</w>
le ss</w>
wee k
ve l</w>
a h</w>
c ap
ch am
g er
ti m
tomor row</w>
ne ss</w>
st ate</w>
h al
ser v
z e</w>
o s</w>
p at
v is
ex c
s in
f f</w>
c ity</w>
c en
an y
b el
su mm
t in
w ould</w>
loo king</w>
k o
ce le
fam ily</w>
m er
po w
hel p</w>
bu s
c o</w>
c le
sel f</w>
en s</w>
ic s</w>
th o
an i
ch o
le ad
b s</w>
t wee
th ink</w>
for e</w>
ch il
vi de
di d</w>
al e</w>
ch i
v il
en ds</w>
w ing</w>
p as
' ll</w>
v ol
s a</w>
g s</w>
man y</w>
j ec
be fore</w>
gra ph
n y</w>
ur ing</w>
w il
d d
bu il
f av
st ed</w>
tr an
l ing</w>
ou d</w>
d ge</w>
fi el
nati onal</w>
st a
c er
w ere</w>
in a</w>
se ason</w>
c ou
n ed</w>
amaz ing</w>
ti ons</w>
cele br
n s</w>
a th
he ad</w>
s day</w>
d ar
lo c
v in
an other</w>
g oo
s at
n y
jo in</w>
pre s
s es</w>
s ing
an a</w>
in ing</w>
.. ..</w>
c our
ï¸ ı
ac t</w>
cau se</w>
li ght</w>
am s</w>
t a</w>
b al
f c</w>
hi gh</w>
off ici
t t</w>
chri st
d ic
d ay
ra l</w>
h or
: )</w>
vi si
n am
o b
ma s</w>
gh t
re ally</w>
t un
fin d</w>
thr ough</w>
por t</w>
u t
ti ve</w>
st y
n e</w>
or e</w>
ðŁĺ Ĥ
supp ort</w>
ne ver</w>
ev en</w>
ðŁ Ķ
h a</w>
y a</w>
l d
u k</w>
r an
j am
wi th
me di
d es</w>
ne y</w>
ch ing</w>
al e
h y
k in
! !
d y
pl ace</w>
al so</w>
b le
wh ich</w>
bl ack</w>
b li
s ay</w>
par k</w>
pl ay</w>
ir e</w>
vide o</w>
week end</w>
a il
ke y</w>
p t</w>
w ard</w>
fri day</w>
d in
ine ss</w>
g ro
b en
al ways</w>
t ball</w>
ag o</w>
m il
c y
pro duc
di sc
un der
ple ase</w>
sp or
fu ll</w>
e y</w>
ðŁ Ļ
is e</w>
iti es</w>
c at
k no
u se</w>
fo re
k er</w>
ar t
hi gh
op en</w>
s an
e f
our s</w>
sh ed</w>
st ri
d ro
aga in</w>
i m</w>
ðŁ ĵ
en jo
fu n</w>
ge tting</w>
p en
g er</w>
c li
an y</w>
ever y</w>
e u
wom en</w>
â ľ
e st</w>
c ould</w>
r y
" @</w>
th ou
sh a
comm un
b er</w>
d ents</w>
di s
wh ile</w>
aw ay</w>
di o</w>
h am
g la
d ate</w>
k a</w>
mis s</w>
un ch</w>
w on
in f
roo m</w>
g a</w>
re al</w>
ex per
di rec
sh ould</w>
sp r
g ol
l ong</w>
bet ter</w>
or i
e y
i ence</w>
il s</w>
z z
h an
f ound</w>
v s</w>
â Ļ
po st</w>
ti c</w>
par t</w>
m en
ren ce</w>
ce ss</w>
v ic
s il
sho p</w>
ðŁĺ Ĥ</w>
f ood</w>
v al</w>
sti c</w>
y ou
s ays</w>
e lec
st ar</w>
o c
l and
i d
c tion</w>
fiel d</w>
s of
st art</w>
wat er</w>
fri ends</w>
on es</w>
ðŁ Į
f la
f ar
wh ite</w>
par ty</w>
in st</w>
gr ou
t v</w>
every one</w>
m ent
j a
ch a
pr in
an ts</w>
d uring</w>
l at
l ar
we st</w>
th en</w>
k a
y oun
in sp
in te
we en</w>
visi t</w>
aga inst</w>
re le
he ad
c es</w>
to wn</w>
loo ks</w>
th re
re gi
ren t</w>
pro jec
gir l</w>
se ar
w o
m om
c ar</w>
h un
pu bli
d i</w>
p le</w>
c all</w>
c ri
u m
for d</w>
per fe
fri end</w>
h ard</w>
ssi on</w>
te st</w>
pla ying</w>
ar ound</w>
be cause</w>
ke ts</w>
me et</w>
sat ur
ar ti
wor k
j un
v en</w>
r un
me mber</w>
por t
su per
t wit
s am
el s</w>
t ly</w>
ad v
ati ve</w>
at h</w>
s ure</w>
av ail
la r</w>
s qu
ar ds</w>
ev ent</w>
m en</w>
l l
o ver
lo gy</w>
it al</w>
tim es</w>
m al
b ack
c oo
ma king</w>
st ru
â ģ
it u
sh ar
g an</w>
c as
s n
summ er</w>
pic ture</w>
f an
h in
christ mas</w>
c y</w>
pr oud</w>
cham pi
desig n</w>
pp ing</w>
ho pe</w>
c a</w>
avail able</w>
ma y
we d
photo graph
spe cial</w>
sal e</w>
sto p</w>
er y</w>
a we
al ity</w>
hi story</w>
am a</w>
pre si
b ru
wor king</w>
d one</w>
d r</w>
k en</w>
fe at
w ood</w>
ate st</w>
sun day</w>
mo vi
vel y</w>
s le
f ace</w>
sp ec
stu dents</w>
b y
ha m</w>
sp on
bus iness</w>
d at
i e</w>
i p
so ci
g lo
h and
re cor
r s</w>
me e
ke ep</w>
p ur
heal th</w>
sh e
com ple
go d</w>
da vi
col lec
li st
r a</w>
clu b</w>
t ers</w>
in clu
th ings</w>
pl an
â ĺ
joh n</w>
sh ing</w>
at ul
so on</w>
blu e</w>
g or
satur day</w>
w on</w>
congr atul
se e
âĿ¤ ï¸ı</w>
tho se</w>
ðŁĺ į</w>
fin al</w>
d ou
it h</w>
o wn</w>
ro ad</w>
t our</w>
a st
indi a</w>
ti l</w>
n d</w>
f er
fav or
su l
lear n</w>
fir e</w>
ju st
grou p</w>
a h
r ac
bo dy</w>
u r</w>
c are</w>
à ¸
p lo
o h</w>
po s
gi ve</w>
te ch
su b
c ent
er ing</w>
y m
il ity</w>
f ic
lon don</w>
v ir
gu ys</w>
b a</w>
ðŁ ¤
bab y</w>
sc re
ðŁĺ į
tru mp</w>
un der</w>
chan ge</w>
i an</w>
col le
ss es</w>
l er</w>
ss ed</w>
n ice</w>
ann oun
pow er</w>
s ar
a king</w>
min i
s li
s wee
k ar
fu l
c ru
ac tion</w>
a ther</w>
) .</w>
st and
de vel
a a
g an
le ft</w>
lo l</w>
re l
tran s
m ents</w>
in t
e f</w>
man ag
di g
gen er
do wn
p au
ti v
k u
th ur
k en
st on</w>
f ans</w>
tal k</w>
twee t</w>
t oo
sty le</w>
pro te
se con
fr on
awe some</w>
g l
p al
ne t
s or
la u
g on
sin ce</w>
t ty</w>
ser ies</w>
me mor
b eli
fil m</w>
di d
di es</w>
o t
congratul ations</w>
p ra
e ve</w>
w oo
offici al</w>
su c
in cre
b on
par t
pp ed</w>
cla ss</w>
si ve</w>
bo y</w>
cu l
perfe ct</w>
t ou
d am
wel come</w>
foo tball</w>
h i</w>
p ap
wa it</w>
ad a</w>
congr ats</w>
youn g</w>
exc ited</w>
re ce
j an
v a</w>
re d
st ra
medi a</w>
' d</w>
do es</w>
le t
mu l
ill s</w>
gre en</w>
m el
to ge
fu ture</w>
ye ster
vers ity</w>
for m</w>
ta in</w>
i de
ch es</w>
ki ds</w>
qu i
ha ha
de ta
bi g
favor ite</w>
gir ls</w>
con tin
do m</w>
sear ch</w>
u al</w>
a ir</w>
d ers</w>
mon th</w>
c er</w>
yester day</w>
commun ity</w>
ad e</w>
do g</w>
vil le</w>
ic es</w>
d eli
sy ste
ru n</w>
is m</w>
he art</w>
c up</w>
en ti
fe w</w>
presi dent</w>
e ds</w>
un til</w>
fe sti
o k
f lo
sa id</w>
ol e</w>
me d
tra vel</w>
 £</w>
ph one</w>
toge ther</w>
fa st</w>
lo t</w>
gam es</w>
sh ir
bet ween</w>
y es</w>
th ers</w>
do ing</w>
m ac
at or</w>
b and</w>
fol low
projec t</w>
devel op
di ffe
con fe
spe ci
ca st</w>
y s
bo ard</w>
r d</w>
i al</w>
sh oo
r am
ha ving</w>
sh are</w>
fol low</w>
on e
n ame</w>
m r</w>
pu t</w>
disc u
or y</w>
c ame</w>
ou s
s ite</w>
twit ter</w>
t b
t it
fin ally</w>
z ed</w>
su per</w>
com pan
us ing</w>
all s</w>
li st</w>
r is</w>
sho t</w>
g al
t ar
de l</w>
joh n
âĢ Ķ</w>
some thing</w>
ra m</w>
inte re
wh e
b it</w>
ðŁ į
stre et</w>
oun d
a i
tic kets</w>
movi e</w>
re al
k y
ta king</w>
o pp
c c</w>
l am
m oun
in ve
bl ack
us ed</w>
on line</w>
y or
loc al</w>
gu e
c ks</w>
o w
ge st</w>
bo ys</w>
illi on</w>
con t
re ci
in ed</w>
eu ro
no w
se en</w>
p h</w>
te ach
de f
sou th</w>
su ch</w>
aw ard</w>
mu st</w>
is su
ca re
fe el</w>
p lu
l atest</w>
spor ts</w>
we b
te x
e ment</w>
s k</w>
fi c</w>
w an
te ch</w>
o t</w>
bo x</w>
n er
fre e
t al</w>
a sh
c ase</w>
ho t</w>
won der
mee ting</w>
er a</w>
ch all
ðŁ IJ
jo b</w>
il i
c ool</w>
j our
th s</w>
m o</w>
f el
di e</w>
mic ha
e le
te am
serv ice</w>
st and</w>
ma kes</w>
p ing</w>
ear ly</w>
com es</w>
e k</w>
ho li
v ers</w>
ag ue</w>
s au
thre e</w>
mon day</w>
fa shi
some one</w>
th ro
se a</w>
b ad</w>
supp or
tur n</w>
ur y</w>
m ing</w>
photograph y</w>
n ic
mar k</w>
pre tty</w>
ss ing</w>
wat ching</w>
me mb
ar ri
coun ty</w>
be ach</w>
fr an
cen ter</w>
pol ice</w>
b at
publi c</w>
t an
pre ss</w>
s af
s y</w>
ge ts</w>
ro y
n ers</w>
y our
bu y</w>
st ers</w>
sho w
as ed</w>
chil dre
af ric
in es</w>
sp ace</w>
sc ri
h all</w>
pa in
ar ing</w>
hom e
m ur
heal th
ch ed</w>
s and
rece i
gu y</w>
e a
americ an</w>
re si
childre n</w>
- -
i ri
ing ton</w>
coun try</w>
ro ss</w>
le n</w>
ann a</w>
boo ks</w>
b c</w>
e ce</w>
d om
lo vely</w>
k h
pe t
g y
g ri
st age</w>
off ice</w>
ro ck</w>
m on</w>
b ay</w>
t able</w>
su n</w>
m ed</w>
th in
l or
f low
( @</w>
uni versity</w>
stor e</w>
fron t</w>
goo d
z a</w>
vo te</w>
nor th</w>
he y</w>
an im
or der</w>
mi d
with out</w>
a de
re member</w>
mar ket</w>
? ?</w>
mu s
tra ining</w>
e duc
bu t
co ver</w>
st an
sc en
b la
bre ak
l ou
s ame</w>
g old</w>
a in</w>
o s
bo th</w>
l it
ver n
a i</w>
al bu
p a</w>
enjo y</w>
be g
ell ing</w>
thur sday</w>
inf o</w>
s an</w>
americ a</w>
ha ir</w>
te l</w>
mar ch</w>
con cer
colle ge</w>
confe rence</w>
ap p</w>
h our</w>
ch ang
â ļ
s our
ol s</w>
we ather</w>
w ar</w>
p hi
festi val</w>
secon d</w>
cu te</w>
pr ac
en er
str y</w>
le a
pol it
s av
se n</w>
o w</w>
m i</w>
ne ar</w>
ou ght</w>
z e
co ffe
w illi
d an
se y</w>
davi d</w>
e se</w>
f an</w>
de ci
the at
no v
ati on
tr ac
sc i
re view</w>
c el
e m</w>
u n</w>
ju ly</w>
or ig
ti on
d ru
form er</w>
st ay</w>
af ter
in v
too k</w>
dat a</w>
b al</w>
tu es
d an</w>
ev ening</w>
ðŁĺĤ ðŁĺĤ
d ol
u res</w>
pro vi
t s
e st
sig n</w>
j ac
u k
s ong</w>
ye t</w>
bo w
in du
j ap
h oo
po int</w>
any one</w>
z y</w>
i st</w>
h ur
it al
buil ding</w>
wom an</w>
ch ur
j er
per for
co ach</w>
le ague</w>
ce ss
ne t</w>
i mag
nati on
br it
qu e</w>
aw ards</w>
ag es</w>
wor ks</w>
c ed</w>
man ce</w>
l ate</w>
ig n</w>
mon ey</w>
tru e</w>
i i</w>
t ell</w>
pl ac
p ac
as y</w>
wor ld
be hin
im port
read ing</w>
gra m</w>
gi ving</w>
me t</w>
h it</w>
for ward</w>
st om
pres ent
jun e</w>
so cial</w>
no on</w>
mar t
hal f</w>
s we
go vern
k er
deta ils</w>
li sh</w>
_ _
ac y</w>
si a</w>
ber t</w>
f all</w>
! !!!</w>
) ,</w>
th i
d iti
sp ort</w>
k ing
f it
st af
c at</w>
mu se
cen tr
y er</w>
con tro
b loo
wal k</w>
ac tu
did n</w>
li m
lear ning</w>
re search</w>
wed ne
au th
h ours</w>
k y</w>
f ar</w>
h en
.. ..
it ch
ri l</w>
str ong</w>
sk y</w>
que sti
jam es</w>
r on
d g
f ur
c in
do es
app ro
mar ke
tu res</w>
ful ly</w>
ch at</w>
behin d</w>
te m
fin i
mis sion</w>
b att
fe el
he av
every thing</w>
b ar</w>
w ish</w>
pre mi
i ma
exper ience</w>
e ach</w>
re port</w>
swee t</w>
tic s</w>
spr ing</w>
re spon
syste m</w>
vic tor
l in</w>
sa w</w>
al ready</w>
gh ter</w>
f le
ã ĥ
br ing</w>
albu m</w>
- -</w>
ell s</w>
st an</w>
to m</w>
inter national</w>
w ent</w>
an ni
mat ch</w>
pp er</w>
st one</w>
sm all</w>
ra in</w>
fashi on</w>
are a</w>
v an
ag ram</w>
k o</w>
thou ght</w>
wor th</w>
v an</w>
m er</w>
coffe e</w>
it es</w>
g n
arti st</w>
c on</w>
ar ch
c ir
se cre
gr ound</w>
is o
h and</w>
co m</w>
bri dge</w>
h s</w>
x i
l ink</w>
pu l
sp l
r ace</w>
f li
ri ver</w>
g as</w>
di sco
d al
play er</w>
f it</w>
photo s</w>
it y
o k</w>
j or
tr a</w>
ap ril</w>
ad s</w>
a di
sol u
beau ty</w>
do or</w>
me ss
up date</w>
ali a</w>
sch o
en ed</w>
mom ent</w>
sco t
sc ience</w>
i or</w>
ti es</w>
ac ross</w>
ous ly</w>
sh es</w>
does n</w>
p age</w>
wat er
m illion</w>
cla ssi
l ic
ca st
form ation</w>
micha el</w>
ell o</w>
s mo
in ts</w>
vi sion</w>
op ening</w>
ld n</w>
au str
tues day</w>
win ner</w>
po ssi
r ound</w>
shir t</w>
di t</w>
b o</w>
u es</w>
il led</w>
al ong</w>
tri p</w>
star ting</w>
im pro
k an
per son</w>
no t
re co
ne eds</w>
c le</w>
li e</w>
re st</w>
r ing</w>
win ter</w>
si mp
mo m</w>
be er</w>
fac e
tor s</w>
us a</w>
collec tion</w>
ge or
se ssion</w>
tr ying</w>
la s</w>
la ke</w>
j en
orig in
stu dent</w>
se cur
v in</w>
pic s</w>
ex pe
com p
gon na</w>
e qu
b ad
le y
a u</w>
memb ers</w>
bre ak</w>
w all</w>
gi c</w>
din ner</w>
bu l
insp ir
r i</w>
min d</w>
ic a</w>
win ning</w>
tal king</w>
t ren
s is</w>
t en</w>
wonder ful</w>
s now</w>
he ar</w>
th om
no thing</w>
gu i
st in
blo g</w>
fe st</w>
b un
le e</w>
war ds</w>
ch ance</w>
dre ss</w>
re n</w>
pau l</w>
p es</w>
tech no
ru ssi
c ard</w>
e ast</w>
mar i
w ine</w>
t i</w>
la w</w>
str ic
k i</w>
ap e</w>
au gu
pro fe
as h</w>
cour se</w>
ma il</w>
ren tly</w>
d un
m un
lo ve
is land</w>
dri ve</w>
s l
end ed</w>
ma in</w>
lo st</w>
nat ure</w>
âĿ¤ ï¸ı
ch ic
re por
p in
pr o</w>
st ation</w>
ce p
ta kes</w>
compan y</w>
go es</w>
on d</w>
ma ch
ra dio</w>
d ad</w>
ro ck
j a</w>
p ay
champi on
e e
in de
tt a</w>
ati c</w>
t ab
beli eve</w>
ener gy</w>
z i
t at
wor d</w>
on ce</w>
re sul
y l
and re
an o</w>
inst agram</w>
clo se</w>
t am
cu stom
w a</w>
con om
sho ws</w>
li fe
k in</w>
ro b
t age</w>
n ation</w>
al most</w>
list en</w>
sa ve</w>
re li
ac e
mar y</w>
tre e</w>
for get</w>
j ack
wa iting</w>
direc tor</w>
h ill</w>
bor n</w>
te mp
f l</w>
st e</w>
on a</w>
sing le</w>
wedne sday</w>
un ited</w>
in o</w>
@ _</w>
ne l</w>
celebr ate</w>
en ding</w>
de al</w>
j i</w>
can ada</w>
hu ge</w>
tr ack</w>
âĢ ¢</w>
f y</w>
fan ta
an g</w>
yor k</w>
rele ase</w>
p un
ep iso
wor ds</w>
t our
p ack
i gh
classi c</w>
perfor mance</w>
ke t
after noon</w>
recor d</w>
win s</w>
pro ble
âĿ ¤</w>
f our</w>
b ed</w>
ban k</w>
d ance</w>
s la
cal led</w>
mi ght</w>
a p</w>
pa st</w>
ðŁ ļ
diffe rent</w>
it e
gi ft</w>
ssi ve</w>
chur ch</w>
c us</w>
pro gram</w>
ho tel</w>
ic e
ma d
secur ity</w>
en ge</w>
d c</w>
en ough</w>
st a</w>
e ty</w>
de ad</w>
g un
he ar
m ir
hu man</w>
gre ss</w>
oun ds</w>
pi ece</w>
bre aking</w>
gar den</w>
fi ght</w>
vie ws</w>
f ish</w>
star ted</w>
run ning</w>
gre en
ser i
s m</w>
as k</w>
d or
de ath</w>
e conom
er i
ir d</w>
s er</w>
l unch</w>
âģ ¦
bo x
nat u
ba se
b an</w>
f al
glo bal</w>
wil d
wo w</w>
out side</w>
mo ve</w>
le ad</w>
an al
muse um</w>
on g
ha w
pow er
than k
b ac
char ac
cam pa
dig ital</w>
r o</w>
op er
de v
w ol
p ati
f a</w>
m ale</w>
pap er</w>
ill ing</w>
c s</w>
â ĥ
educ ation</w>
ta ken</w>
e ffe
m ou
s ad
" .</w>
bas ed</w>
staf f</w>
inclu ding</w>
li ving</w>
a c</w>
ch ina</w>
mo b
stor m</w>
lu ck</w>
ph il
o o</w>
y n
tra vel
k el
ti al</w>
pr ice</w>
boo k
import ant</w>
bi o
p ool</w>
ny c</w>
f ab
lo ad</w>
? !</w>
chall enge</w>
cr y
ser ve</w>
we ar</w>
bu s</w>
ta in
nu mber</w>
ro r</w>
k at
i z
th ough</w>
ho sp
m m</w>
fa ir</w>
ut es</w>
ho t
po p</w>
fi ed</w>
cam p
develop ment</w>
li br
c ali
em s</w>
âģ¦ @</w>
b ol
is ed</w>
stand ing</w>
mo del</w>
it a</w>
g le</w>
bro wn</w>
ima ge</w>
ve red</w>
for ce</w>
o il</w>
par tic
sh u
da ily</w>
la w
se c
cla ss
cam p</w>
holi day</w>
cl in
k ers</w>
pres ent</w>
gam e
incre di
er ship</w>
inter view</w>
b ill</w>
du e</w>
and y</w>
ab o
in nov
ke y
ac ade
p il
mo der
st ars</w>
br and</w>
f er</w>
wee ks</w>
con si
pr e</w>
sa fe
wr it
di um</w>
la unch</w>
marke ting</w>
ann ual</w>
as si
cour t</w>
la dy</w>
c ted</w>
and a</w>
in side</w>
chil d</w>
opp or
sm ith</w>
centr e</w>
gu e</w>
âģ ©</w>
f ren
st y</w>
for t</w>
ent ly</w>
is n</w>
ke ep
to ber</w>
on y</w>
bo y
al d</w>
col la
de mo
le vel</w>
com pet
ad o</w>
b our
fanta stic</w>
m ate</w>
s u</w>
sou th
oppor tun
vers ary</w>
lat er</w>
bu d
face book</w>
la un
ster n</w>
p it
! "</w>
ma j
gr am
tb t</w>
fi re
happ y
a ks</w>
wh ole</w>
actu ally</w>
ill er</w>
ell a</w>
lo ts</w>
al ex
an ge
lan ds</w>
ðŁĺ Ń
en ter
r ou
episo de</w>
p ed</w>
in ten
sh ire</w>
wh o
pl an</w>
h o</w>
ca ke</w>
we st
mag az
fre sh</w>
c c
n ar
ch ris</w>
wr iting</w>
w er</w>
n om
l o</w>
mi dd
dre am</w>
o l</w>
ti onal</w>
de b
> ></w>
be come</w>
s i</w>
gr and</w>
all ing</w>
hi stor
ri de</w>
i red</w>
saf e</w>
que en</w>
ci l</w>
in tro
vi l</w>
d ani
.. .
ar tic
st at
sh ort</w>
or ing</w>
sel fi
mis si
do c
b it
g all
b om
i re
se lec
d ition</w>
ðŁĶ ¥</w>
fri end
be at</w>
gh ting</w>
ðŁĺ Ĭ</w>
pe ace</w>
ex hi
ant a</w>
ab ility</w>
il lu
j on
qu ality</w>
tri bu
m es</w>
play ers</w>
fa ir
cu t</w>
c ab
suc cess</w>
b i</w>
su s</w>
pro mo
sch e
an ge</w>
ic o</w>
comm it
cat ch</w>
ill a</w>
kin d</w>
feel ing</w>
qu o
s ay
anni versary</w>
spo t</w>
mo ther</w>
an e</w>
p end
your self</w>
op s</w>
app le</w>
min utes</w>
p o</w>
gr and
ri es</w>
ha ha</w>
care er</w>
ed ition</w>
de c
ric k</w>
am i</w>
concer t</w>
iti ve</w>
ge ous</w>
d ly</w>
t te</w>
adv ent
i g</w>
li ghts</w>
ak er</w>
sk y
âĥ £</w>
r ay</w>
fini shed</w>
w ay
s d
ac coun
ðŁĴ ķ</w>
ck y</w>
ch el
lit er
pain ting</w>
lo s</w>
st un
techno logy</w>
n as
ma r</w>
b il
afric a</w>
ki e</w>
ey es</w>
gol f</w>
plu s</w>
ni a</w>
it ec
serv ices</w>
wed ding</w>
kno wn</w>
te le
.. ...</w>
star ts</w>
pa ren
w ants</w>
ati onal</w>
mon ths</w>
win do
fav our
er t</w>
magaz ine</w>
ex clu
re ve
b c
origin al</w>
e ss
n al</w>
an ti
st ro
t ice</w>
stu dy</w>
à ¤
v ac
nation al
fi ve</w>
ra in
ve ment</w>
u te</w>
ver se</w>
em er
ar my</w>
possi ble</w>
gue ss</w>
val ley</w>
ther n</w>
cro w
m r
col or</w>
on to</w>
pic k</w>
cle ar</w>
dar k</w>
t ac
wan ted</w>
it ting</w>
can cer</w>
govern ment</w>
di e
ri se</w>
z ing</w>
col d</w>
f oun
stu dio</w>
str ation</w>
bro ther</w>
a head</w>
sh el
mic ro
ic ally</w>
d au
sig ned</w>
vi ol
a x
as se
i o
w re
spl ay</w>
ch ick
augu st</w>
pl at
ti ps</w>
sp i
hu man
e asy</w>
lo gi
mi ke</w>
gro w
ag re
w w
sh ad
mo tiv
wi de</w>
tur ns</w>
om g</w>
v ar
de fin
su g
j im
ðŁĶ ¥
t d</w>
campa ign</w>
nam ed</w>
re tweet</w>
co p
t v
le av
k is
dou ble</w>
s mar
issu e</w>
vil la
in formation</w>
li es</w>
sto ck</w>
n t</w>
di stric
sh or
mi x
er o
se p
me x
see ing</w>
li ve
re min
co de</w>
g ur
s c</w>
wil d</w>
l un
h ood</w>
spo t
fa ther</w>
fore ver</w>
up d
tra f
f ly</w>
ne ed
gra du
tra in</w>
ma ke
s ab
be y
si ze</w>
lead er</w>
tal ks</w>
e u</w>
lo g
fo x</w>
gor geous</w>
le ss
le ts</w>
sur pri
my self</w>
no te</w>
li ves</w>
f ru
lo ved</w>
se ver
de m
j i
so c
h old</w>
do gs</w>
n i</w>
â ŀ
lea ve</w>
air port</w>
ben ef
ex pl
shi ps</w>
comple te</w>
ach i
gre at
vin tage</w>
j ack</w>
ro c
woo d
pri v
off er</w>
ey e</w>
ver sion</w>
te a</w>
co ach
off ic
w ell
g en</w>
s at</w>
h h
you th</w>
o x
? "</w>
m t</w>
mi x</w>
g g</w>
d le</w>
natu ral</w>
buil d</w>
break fast</w>
thin king</w>
theat re</w>
mo on</w>
ber g</w>
go als</w>
geor ge</w>
en e
exc ell
il ing</w>
tun e</w>
y ed</w>
g ate</w>
m it
net work</w>
jo e</w>
h ello</w>
f b</w>
tu be</w>
we aring</w>
ath le
stru c
har d
gla ss</w>
g ers</w>
thro w
g es</w>
b t
indu stry</w>
manag ement</w>
ali st</w>
go al</w>
stre am</w>
y el
a vi
ici ous</w>
o thers</w>
s ki
chri sti
bir d</w>
e sc
m in</w>
tr o</w>
l t</w>
j an</w>
im p
ri ghts</w>
sh a</w>
or gan
cent ral</w>
ar a</w>
ro ll</w>
favour ite</w>
che ster</w>
el se</w>
p ay</w>
car s</w>
m ine</w>
ste p</w>
prac tice</w>
maj or</w>
h ang
ðŁĺ ĺ</w>
n on</w>
v ari
eng ine
vol un
di a</w>
i led</w>
arch itec
p ink</w>
d s
th y</w>
wa sh
web site</w>
ba g</w>
contro l</w>
el li
f ra
an sw
d ence</w>
y u
r on</w>
ol a</w>
g in
dr in
li c</w>
cou ple</w>
sp ar
g on</w>
cre ate</w>
c t
celebr ating</w>
de ep</w>
e at</w>
te e</w>
vo ice</w>
dro p</w>
vis it
at ors</w>
sta dium</w>
f t
w is
ro l
gra de</w>
fam il
po ints</w>
re pre
w as
traf fic</w>
jap an</w>
or g
hon or</w>
tex as</w>
man u
âĻ ¥</w>
safe ty</w>
re r</w>
b ag
em plo
rele ased</w>
re gu
ak a</w>
n av
ro le</w>
sen ior</w>
spec t</w>
cro ss</w>
lin es</w>
be st
p ack</w>
s in</w>
ti e</w>
mis sing</w>
sun set</w>
li ber
is ing</w>
j ay
sk i</w>
champion ship</w>
ac tiv
la dies</w>
play ed</w>
y y
pu bl
al o
pri de</w>
s r
pa ki
lu x
sur vi
ck ed</w>
e ts</w>
cho col
austr alia</w>
par is</w>
mi les</w>
h at
ment al</w>
al a</w>
me an</w>
mob ile</w>
en a</w>
in si
f ound
chi ef</w>
t ag
incredi ble</w>
re turn</w>
à ©
goo gle</w>
fren ch</w>
cre w</w>
hal lo
ali an</w>
j az
ch er</w>
sil ver</w>
nor th
eng lish</w>
base ball</w>
c af
lim ited</w>
follow ing</w>
app reci
ear th</w>
k ir
ve mber</w>
w ed</w>
p tion</w>
g ed</w>
oc tober</w>
fl ori
c r</w>
en cy</w>
ga ve</w>
lor d</w>
stu ff</w>
ber ry</w>
po st
sm ile</w>
bro ad
st ate
gg er</w>
me ans</w>
ic y</w>
gu n</w>
y o</w>
ma ster</w>
bur g</w>
han ds</w>
ni e</w>
/ /</w>
uni on</w>
brit ish</w>
big gest</w>
distric t</w>
am ing</w>
h il
o ce
per son
pas s</w>
en vir
scho ols</w>
arri ved</w>
anc es</w>
insp ired</w>
ex pla
be n</w>
libr ary</w>
bo tt
am p
ste ph
cont act</w>
b ang
m s
cali for
t old</w>
batt le</w>
b b</w>
chic ago</w>
âľ ¨</w>
str ate
sh i</w>
de ce
- )</w>
ad d</w>
la b
j ones</w>
leg end</w>
cast le</w>
ing er</w>
st ance</w>
be l</w>
ur a</w>
re fu
lead ers</w>
po t
se x
h ic
artic le</w>
ki d</w>
fr ance</w>
x x</w>
ex e
gui de</w>
volun te
pr int</w>
al i</w>
ce o</w>
twee ts</w>
w x</w>
scen e</w>
vol u
ant i</w>
h an</w>
as soci
shar ing</w>
ro se</w>
mini ster</w>
sh er
in ste
cle an
demo cr
po ster</w>
sk in</w>
p sy
pro per
cra zy</w>
i am
o re
in i</w>
any thing</w>
po d
mo ving</w>
cl ick</w>
ex plo
com b
cra ft</w>
f i</w>
bloo d</w>
is ra
publ ic
d ent
ol ym
eng land</w>
a si
ch er
fac t</w>
envir on
har ry</w>
g one</w>
me dic
enjo ying</w>
just ice</w>
j r</w>
indi an</w>
wi fe</w>
s ound</w>
t es</w>
dra wing</w>
p al</w>
ide a</w>
cr it
ju li
il er</w>
war m</w>
cl ar
thou ghts</w>
def en
coun cil</w>
intro duc
di ed</w>
jan u
an i</w>
s end</w>
li er</w>
m l
intere sting</w>
tra de</w>
win d</w>
b ay
s ac
anc y</w>
sour ce</w>
b es</w>
org ani
ar ly</w>
lar ge</w>
ff ici
ta g</w>
u t</w>
de sp
o es</w>
tit le</w>
sy m
pic tures</w>
op en
wom en
sho wing</w>
ri a</w>
le ast</w>
lead ership</w>
cur rent</w>
elec tr
val ent
list ening</w>
c key</w>
gener al</w>
de ser
du ce</w>
; )</w>
c ent</w>
ðŁĺį ðŁĺį
sco tt</w>
po or</w>
selfi e</w>
ev ents</w>
i on</w>
wr ong</w>
de v</w>
h ill
sep te
cul ture</w>
l ine
sor ry</w>
s ent</w>
si ster</w>
ce pt</w>
k ri
no vember</w>
ar i</w>
announ ce</w>
z ation</w>
br an
g ent
d u</w>
l en
per s
f m</w>
mart in</w>
o p</w>
e mb
om e
midd le</w>
suc cess
pe ter</w>
janu ary</w>
f lu
rac ing</w>
d av
bi ke</w>
ðŁı »</w>
pe t</w>
shoo t</w>
profe ssi
feat uring</w>
septe mber</w>
now playing</w>
sta ur
z a
on ic</w>
qu ick</w>
bas ke
spe aking</w>
mil it
z er</w>
chick en</w>
b ell</w>
s ad</w>
co ast</w>
lo ving</w>
y ers</w>
d j</w>
pan el</w>
ver age</w>
s wit
ic ks</w>
b ou
califor nia</w>
s am</w>
paren ts</w>
er o</w>
k illed</w>
ph ys
jo bs</w>
mi gr
an th
e mo
hallo ween</w>
and er
c m</w>
compet ition</w>
e ag
s ket
sp ir
may be</w>
exclu sive</w>
app e
jour ney</w>
scre en</w>
for d
i o</w>
h ate</w>
u g
sou l</w>
her o</w>
soci ety</w>
sy n
gu it
n h
d j
as es</w>
im pre
ti me
sal es</w>
d d</w>
f ts</w>
summ it</w>
stun ning</w>
om s</w>
tur ned</w>
cle an</w>
sof t</w>
be at
re staur
de red</w>
en ces</w>
ma gic</w>
di o
sh ine</w>
gu est</w>
health y</w>
exhi b
stor ies</w>
po pu
n is</w>
el a</w>
bel ow</w>
fun ny</w>
resul ts</w>
s ne
cur rently</w>
ar d
down load</w>
f light</w>
m al</w>
f ine</w>
p ad
ch u
ent ed</w>
h at</w>
ðŁij ı
ste ve</w>
j o</w>
mar k
r at
b all
p c</w>
p on
b by</w>
o li
ar ts</w>
as ure</w>
bow l</w>
att ack</w>
mi c</w>
de ar</w>
ran ge</w>
en ter</w>
chocol ate</w>
br illi
ac cess</w>
, "</w>
? ??</w>
ch ap
con st
t n
mat ter</w>
blu e
gall ery</w>
em p
work shop</w>
lead ing</w>
y ours</w>
baske tball</w>
w anna</w>
th u
_ _</w>
mar ri
sle ep</w>
bi a</w>
ch e</w>
ma d</w>
imp act</w>
o wn
si r</w>
chan nel</w>
euro pe</w>
e sp
k itch
hosp ital</w>
w ra
roy al</w>
f s</w>
ne u
qu ar
ne y
ac ks</w>
ch ase</w>
pp y</w>
st al
at ely</w>
ti m</w>
dece mber</w>
r are</w>
per form
cre am</w>
we ight</w>
ch oo
ni ght
ha ven</w>
fr anc
kh an</w>
buil t</w>
hel ping</w>
tru st</w>
ty pe</w>
gol den</w>
ta x</w>
s now
s wi
di sa
questi ons</w>
ve y</w>
li ght
c n
cl oud</w>
thom as</w>
ag ed</w>
sh ou
te ams</w>
gr an
re ason</w>
a a</w>
you tube</w>
v p</w>
pi zz
manag er</w>
bur y</w>
cre dit</w>
tre at</w>
ma x</w>
i k
ma in
g ing</w>
de ad
pro bab
ye ah</w>
ã Ĥ
br and
so li
pl ant</w>
ta yl
gir l
ðŁĺ Ń</w>
nam ent</w>
au to
mess age</w>
ko re
n ur
ter r
ag u
ma p</w>
sen ting</w>
lo ves</w>
gi ves</w>
g ab
z en</w>
ro bert</w>
con fir
w ars</w>
o m</w>
sta in
cam era</w>
and er</w>
won der</w>
a b</w>
ca p</w>
s old</w>
su it</w>
wal king</w>
contin ue</w>
effe c
dau ghter</w>
d anc
cha in</w>
mul ti
ki d
y an
champi on</w>
v o</w>
ta ins</w>
ho st</w>
min i</w>
mis sed</w>
re sc
ly n
fin ish</w>
del icious</w>
s as
tayl or</w>
i b
pro mis
produc ts</w>
moun tain</w>
flori da</w>
regi ster</w>
tre at
rec ent</w>
fe male</w>
boo th</w>
mat t</w>
ve hic
s op
mo tor
suppor ting</w>
phi c</w>
ex tre
dr ink</w>
lan e</w>
th ird</w>
p s
con stru
ce re
far m</w>
ðŁİ ī</w>
tu red</w>
ðŁij ī</w>
c ats</w>
a j
gi e</w>
shoo ting</w>
as ked</w>
paki stan</w>
am e
m b</w>
g il
leg al</w>
squ are</w>
in vol
dra w</w>
oo oo
!! !!
opportun ity</w>
p y
e i
b ts</w>
teach er</w>
charac ter</w>
john son</w>
br on
ly wood</w>
ch ine
c ing</w>
c ine
d ge
gam ing</w>
russi a</w>
ci a</w>
quo te</w>
ric h</w>
go v
flow ers</w>
sp iri
st in</w>
grow th</w>
ðŁı ¼</w>
comm er
j uni
mu m</w>
r an</w>
s na
a ren
c b
ac tor</w>
col or
si t</w>
pa ir</w>
ch i</w>
bo w</w>
acade my</w>
hel d</w>
r ang
me tal</w>
y l</w>
ac tive</w>
probab ly</w>
t ch</w>
need ed</w>
spe e
cho ice</w>
ital y</w>
ry an</w>
ðŁĩ º
flow er</w>
v it
m n</w>
found ation</w>
b ak
si ons</w>
ne igh
f loo
he ard</w>
re mo
fre sh
ing ing</w>
re f
to wn
cl ou
je sus</w>
spiri t</w>
cou ldn</w>
z es</w>
ðŁĴ Ļ</w>
willi ams</w>
pro ce
moder n</w>
pro cess</w>
sho es</w>
cre ated</w>
tri c</w>
issu es</w>
ann e</w>
att en
de but</w>
h r</w>
n it
sti g
a po
e ps</w>
z u
ã Ģ
si x</w>
car ds</w>
lan gu
fam ous</w>
tour nament</w>
se l</w>
e bay</w>
y n</w>
st on
k ick
announ ced</w>
k am
vo c
brilli ant</w>
hou se
che ese</w>
war ri
mus ic
ho ckey</w>
ðŁĺĤ ðŁĺĤ</w>
sk ills</w>
au tom
smar t</w>
med ical</w>
mon y</w>
e x</w>
gu ar
gi ve
pers onal</w>
ven tion</w>
al li
pre ss
flo or</w>
m c</w>
victor y</w>
hi m
simp le</w>
th or
ðŁĩº ðŁĩ
ta il</w>
lu cky</w>
ale x</w>
qu ite</w>
bo t
ssi ons</w>
chall eng
c ann
amaz on</w>
h ell</w>
b ought</w>
) :</w>
ed y</w>
secre t</w>
produc tion</w>
inde pend
de fe
ad ded</w>
p r</w>
p ag
be d
gre atest</w>
with in</w>
j ay</w>
ðŁ ¥
ire land</w>
re ly</w>
s d</w>
te xt</w>
dri ving</w>
pro gram
spe ed</w>
col um
str on
à ©</w>
fore st</w>
â ĸ
mach ine</w>
co in</w>
sc ar
oun t</w>
bi e</w>
¡ ï¸ı</w>
por tra
comm on</w>
wre st
recei ved</w>
kno w
inve st
pl ans</w>
ac cor
ad op
ter y</w>
re ali
p p</w>
k al
art work</w>
me an
go d
inste ad</w>
an ci
motiv ation</w>
as ing</w>
inspir ation</w>
up coming</w>
polit ical</w>
euro pe
m ers</w>
heav y</w>
ðŁij į</w>
fe bru
scot land</w>
ou gh
b t</w>
bo ss</w>
sche du
spe ak</w>
n ick
u red</w>
in o
e k
ri sk</w>
tor y</w>
pres ents</w>
b on</w>
ru g
st ates</w>
exhib ition</w>
il o
m ill
br ought</w>
: -)</w>
tou ri
com e
offici ally</w>
champi ons</w>
do ors</w>
re p
po se</w>
ex tra</w>
k ings</w>
soc cer</w>
squ ad</w>
app lic
at a</w>
some times</w>
t ari
excell ent</w>
ðŁĺ ĺ
stra ight</w>
car ol
ri p</w>
âĢ į
gra phic</w>
m ol
elec tion</w>
febru ary</w>
as ons</w>
l i</w>
di r
m t
n ick</w>
u su
m rs</w>
com ics</w>
inst itu
cor por
v i</w>
ðŁĻ ı
tu ral</w>
di se
ac ci
we are
am ong</w>
sho pping</w>
t ill</w>
wh at
cha ir</w>
sp an
chine se</w>
innov ation</w>
jo y</w>
k it</w>
cent ury</w>
ob ama</w>
ph ili
f c
re ach</w>
c iti
ul ous</w>
n on
d ang
happ ening</w>
bur n</w>
p el
or ange</w>
d v
k ick</w>
cla im
ing ham</w>
ph y</w>
no v</w>
pod cast</w>
wh i
ni ghts</w>
ear lier</w>
be ar</w>
la h</w>
exc iting</w>
or a</w>
gi ven</w>
s lo
memor ies</w>
contin ues</w>
produc t</w>
gh o
c d
kno ws</w>
ðŁİ ī
publi shed</w>
discu ss</w>
y ard</w>
i phone</w>
tri es</w>
w all
fe b</w>
are n</w>
tru th</w>
win ners</w>
tu re
diti onal</w>
milit ary</w>
proble m</w>
m and
do g
lo ss</w>
c ric
can adi
ve ter
villa ge</w>
" ,</w>
y r</w>
un g</w>
don ald</w>
ag ing</w>
bir ds</w>
sci enti
le s
th is
regi on</w>
tic al</w>
itt en</w>
il a</w>
ðŁĺ İ</w>
d ad
di am
abo ve</w>
st ren
li t</w>
p ir
la b</w>
fo cus</w>
bus y</w>
d ur
app ly</w>
s ma
auth or</w>
ac i
exe cu
dom in
re la
jack son</w>
at o</w>
wash ington</w>
ðŁĻ Į
k ill</w>
popu lar</w>
ce ment</w>
ro ad
e ating</w>
loc ation</w>
v ent
ar re
n an
cu sto
advent ure</w>
or din
spor t
ul t</w>
lo ck</w>
questi on</w>
dri ver</w>
land sc
on i
k ins</w>
p d
jor dan</w>
te red</w>
k k
a f</w>
chil d
s p</w>
just in</w>
en i
s elling</w>
z o
wh it
bo ston</w>
partic ip
sig ning</w>
happ ened</w>
he at</w>
m am
dre ams</w>
lo ws</w>
gra ph</w>
the day</w>
head ing</w>
br o</w>
ble ssed</w>
vi c</w>
ve gas</w>
h d</w>
in ning</w>
ro man
and ro
den ti
u se
c it
pro gress</w>
writ er</w>
bo b</w>
ff s</w>
gro wing</w>
b ly</w>
aw are
ex am
sp ent</w>
be t</w>
sc ore</w>
bey ond</w>
do cu
ad el
s f
cou ra
colla bor
in c</w>
priv ate</w>
bo at</w>
* *</w>
z one</w>
p ha
b ill
to tal</w>
plan ning</w>
to wards</w>
plac es</w>
pre view</w>
cre ative</w>
dam n</w>
ide as</w>
se ems</w>
po ten
say ing</w>
di splay</w>
s w</w>
a qu
lou is</w>
by e</w>
li l</w>
e mail</w>
we stern</w>
ger many</w>
ell er</w>
re s
f ant
ment ary</w>
de als</w>
ric hard</w>
jer sey</w>
stren g
ra d
pizz a</w>
mon d</w>
w are</w>
l ac
g i</w>
ar chi
c d</w>
yel low</w>
rec ently</w>
re ach
à ¹
kitch en</w>
desig ned</w>
tr y
g al</w>
restaur ant</w>
at ure</w>
w w</w>
j as
l ma
ðŁij Į</w>
pa in</w>
av o
min ute</w>
sch ol
ther ap
tic ket</w>
d ry</w>
jap an
diti ons</w>
ter ri
sel ves</w>
happ en</w>
t up</w>
ma g</w>
cop y</w>
sh er</w>
free dom</w>
f ile</w>
speci ally</w>
tor onto</w>
lo ad
g ary</w>
re y</w>
answ er</w>
lo y
cau ght</w>
pri ze</w>
u ne
fic ation</w>
ni ger
sy d
tou ch</w>
feat ure</w>
jaz z</w>
recor ds</w>
him self</w>
di sh</w>
ro ber
spot ted</w>
ma ster
wa ve</w>
fin als</w>
bu ll
for um</w>
al d
re comm
ch a</w>
a e</w>
d oo
inst ru
tru ly</w>
l g
in k
bro thers</w>
de st</w>
j im</w>
m it</w>
clo sed</w>
is on</w>
tri ed</w>
s anta</w>
af fe
w an</w>
hor se</w>
g row</w>
camp us</w>
rel ation
nati ve</w>
jour n
go v</w>
o ct</w>
k it
b ound</w>
part ner</w>
re ma
crow d</w>
! )</w>
c alls</w>
ra il
qu ali
solu tion</w>
con test</w>
con vers
sn ap
b ase</w>
in iti
ta x
y e</w>
ent repre
it or</w>
constru ction</w>
foo d
present ed</w>
n ings</w>
cli mate</w>
k m</w>
mo del
b j
blo ck</w>
present ation</w>
dre am
fi x
c alling</w>
bus ine
con gress</w>
under stand</w>
we b</w>
val ue</w>
ï¸ı âĥ£</w>
mex ico</w>
it ely</w>
ki m</w>
char ity</w>
ref lec
bl an
fl ying</w>
anal y
famil ies</w>
b and
reci pe</w>
celebr ation</w>
ac cep
ar y
to t
g b</w>
intere sted</w>
cap tain</w>
âĻ ¥
ti p</w>
ab sol
bra z
inve stig
o logy</w>
de c</w>
tru ck</w>
ver ing</w>
c lear
don t</w>
go tta</w>
ad vis
beg ins</w>
ma ss
de scri
blo ck
k im
davi d
son gs</w>
memor ial</w>
feat ures</w>
su stain
' .</w>
gra b</w>
jo se
v a
con serv
se ts</w>
man chester</w>
fi ghting</w>
de gre
ag a</w>
in d</w>
sle ep
pos ition</w>
ha ir
sig ns</w>
pol icy</w>
it o</w>
al ert</w>
st am
sp end</w>
w y
absol ut
d m</w>
anim al</w>
my ster
success ful</w>
proble ms</w>
ro bo
k ay
gar den
p d</w>
may or</w>
d ale</w>
t ol
off ers</w>
vis iting</w>
friend ly</w>
tre es</w>
offic er</w>
accoun t</w>
ke vin</w>
ðŁij į
gi ant</w>
contin u
con su
tr act</w>
n fl</w>
ðŁĺ Ĭ
h q</w>
b ility</w>
a ar
dis ney</w>
te en</w>
on ed</w>
wh ite
tra iler</w>
de dic
al one</w>
absolut ely</w>
dig ital
willi am</w>
in ation</w>
s wa
e e</w>
enti re</w>
ger man</w>
ro ll
h its</w>
co st</w>
st ay
th a</w>
ali ve</w>
accor ding</w>
co t
liter ally</w>
her it
re ti
haha ha</w>
exper i
li kes</w>
g t</w>
ste el</w>
__ __
ch air
christi an</w>
to wer</w>
diffe rence</w>
m d</w>
tre ss</w>
mi d</w>
prin ce</w>
afric an</w>
fe der
foo t</w>
car ri
ser ved</w>
r ice</w>
sh all</w>
feat ured</w>
ck er</w>
rec ru
po e
sen se</w>
ni fic
com edy</w>
cont ent</w>
f at
po sted</w>
con tribu
tim ate</w>
li ver
mb le</w>
inter net</w>
ag e
europe an</w>
cl ing</w>
gla d</w>
ff ic
sc o</w>
ak es</w>
el le</w>
ter min
ton y</w>
p ale
col our</w>
seri ous</w>
pat ri
movi es</w>
b m
professi onal</w>
ad o
al u
br inging</w>
f alls</w>
isra el</w>
ter m</w>
langu age</w>
bro ok
man n</w>
commun ic
can not</w>
ac ti
p he
y an</w>
entrepre ne
tur key</w>
log ical</w>
lon g
ar m</w>
ur s</w>
work ers</w>
ing ly</w>
gg s</w>
ri c</w>
tu al</w>
recei ve</w>
op ens</w>
ge ar</w>
soci al
fe et</w>
c king</w>
ad ver
fin an
fe els</w>
sp la
h r
ea ster</w>
bra in</w>
ã ģ
fi g
le dge</w>
ne arly</w>
prote ct</w>
ma ssive</w>
e th
aw a
ðŁĺ ģ</w>
y rs</w>
aware ness</w>
defin itely</w>
k n
imag ine</w>
k u</w>
syste ms</w>
ðŁij ı</w>
f as
li k
provi de</w>
am o
disco ver</w>
inf lu
ma ker</w>
g az
fit ness</w>
stre et
er s
te d
w c
ys is</w>
pos itive</w>
hel ped</w>
que st</w>
andre w</w>
bra d
b in
hang ing</w>
l ing
bri ght</w>
se ction</w>
ma ss</w>
ðŁĻ Į</w>
follow ers</w>
ho sting</w>
tem por
fla g</w>
a ve</w>
let ter</w>
k ur
re qui
of ten</w>
cry p
su ff
âļ ½
russi an</w>
treat ment</w>
al le
ha y
l an</w>
keep ing</w>
hol y</w>
power ful</w>
pre dic
fun d</w>
e specially</w>
windo w</w>
je wel
il y
ðŁĴ ľ</w>
gener ation</w>
app a
seri ously</w>
o d
ðŁĺĤðŁĺĤ ðŁĺĤ</w>
cer ti
iri sh</w>
ðŁij Į
mi ami</w>
be th</w>
v ity</w>
se cu
che f</w>
cri me</w>
graph y</w>
ma x
arti sts</w>
re volu
gu ard</w>
spee ch</w>
u c
upd ates</w>
fac es</w>
st ant</w>
chang ed</w>
repor ts</w>
low er</w>
pe ar
n c</w>
k il
loo ked</w>
spe aker</w>
s f</w>
re spect</w>
ok ay</w>
oce an</w>
s itting</w>
architec ture</w>
tra il</w>
se at</w>
i ra
le g</w>
japan ese</w>
d am</w>
u lar</w>
sw im
polit ics</w>
finan cial</w>
ol d
mou th</w>
at temp
de stin
fi shing</w>
atten tion</w>
me m
chang es</w>
deci ded</w>
reli gi
g in</w>
c av
z z</w>
ad am</w>
ma c</w>
wr ite</w>
beg in</w>
sc ul
al ter
is s</w>
ath on</w>
imag es</w>
m oo
jo ined</w>
ðŁĺ ī</w>
âŀ ¡ï¸ı</w>
pas sed</w>
mu sli
h ir
lar gest</w>
cam er
com ic</w>
gh ted</w>
rug by</w>
bur gh</w>
gg ing</w>
te sting</w>
pre par
lau gh
al ed</w>
impro ve</w>
beli ev
adv ice</w>
sha res</w>
he art
tur ning</w>
s b</w>
t el
caf e</w>
n es</w>
dani el</w>
pat ter
t z</w>
se tt
par k
c and
st ick</w>
happ ens</w>
bri an</w>
ne west</w>
e pic</w>
ad or
ki es</w>
war ning</w>
anim als</w>
custo m</w>
ar c
di an</w>
gol d
cor e</w>
t f</w>
c ity
pan ts</w>
re ality</w>
con fi
in ju
fo x
gu il
k new</w>
âĺ º
cor rec
itu de</w>
d den</w>
. #</w>
re duc
pas s
f on
y a
ow ner</w>
re turns</w>
n c
e ast
ap ol
in sur
th o</w>
si m
juni or</w>
be e</w>
ang el
att le</w>
elec tric</w>
hor ror</w>
cra sh</w>
e ye
pat h</w>
sou thern</w>
emplo ye
ge o
t an</w>
ha z
r ally</w>
ðŁı »
proper ty</w>
was n</w>
enjo yed</w>
gre y</w>
g as
bre w
nor thern</w>
hol ding</w>
g p</w>
ta ke
ch art</w>
ly n</w>
dr ama</w>
z o</w>
pa id</w>
throw back</w>
cu p
discu ssion</w>
down town</w>
w ill
le w
b is
t ary</w>
bre ad</w>
up on</w>
r ate</w>
teach ers</w>
it ation</w>
anc ed</w>
cy cle</w>
choo se</w>
d c
ir an</w>
co w
da ve</w>
ra ise</w>
prin cess</w>
fa ith</w>
- ></w>
indu stri
sp ain</w>
guit ar</w>
fac ts</w>
m n
sp en
cour te
go tt
projec ts</w>
au di
o sc
pe ter
s and</w>
intere st</w>
happ iness</w>
ven ue</w>
sol di
surpri se</w>
poten tial</w>
per io
custom er</w>
i i
g ni
manu fac
e co
bro ken</w>
sing er</w>
vel s</w>
wal es</w>
hu s
in j
f our
tal ent</w>
d ying</w>
mat the
fil m
jo ining</w>
s ell</w>
j ar
lma o</w>
sur ger
bb c
sour ces</w>
au stin</w>
ni k
char les</w>
f am</w>
prin ci
ange l</w>
cas h</w>
lo t
o red</w>
pla ys</w>
pl ate</w>
don e
memor y</w>
br ings</w>
n ba</w>
solu tions</w>
teach ing</w>
gr ace</w>
cir cu
hel ps</w>
foun der</w>
mar y
expl ore</w>
de cor
par ts</w>
ch o</w>
inte gr
ha u
is es</w>
pu tting</w>
in er</w>
r it
v y</w>
mic hel
blu es</w>
every day</w>
for ms</w>
bi o</w>
ye ar
p in</w>
t ter</w>
spr ing
) )</w>
po t</w>
al ing</w>
perform ing</w>
sh an
plan et</w>
mus ical</w>
head s</w>
it alian</w>
stru gg
âĢį âĻ
w ings</w>
pu mp
h h</w>
tr ou
a id</w>
pri me</w>
ear th
pa int</w>
mon t
am y</w>
bb c</w>
fab ulous</w>
fru it</w>
andro id</w>
bour ne</w>
cere mony</w>
enti al</w>
? ?
deb ate</w>
on ing</w>
dra ft</w>
sol ar</w>
t x</w>
j am</w>
cor n
!! !!!</w>
bro o
mil k</w>
po sed</w>
o hi
mo vement</w>
b ren
part ner
p g</w>
et te</w>
ar ies</w>
sh out</w>
n g</w>
leav ing</w>
t ells</w>
sen s
ta ste</w>
kel ly</w>
wor l
gy m</w>
ric h
e gy
pi d</w>
ma s
â Ĥ
courte sy</w>
fran k</w>
incre ase</w>
wr itten</w>
pp ers</w>
re l</w>
ha i</w>
s as</w>
s ound
tt i</w>
w ich</w>
ri ver
.. ."</w>
a g</w>
fel low</w>
ro me</w>
sm all
gen cy</w>
ic an</w>
lux ury</w>
pro of</w>
me t
wild life</w>
mom ents</w>
ra ther</w>
cor ner</w>
com pe
canadi an</w>
lik ely</w>
therap y</w>
li am
econom ic</w>
indi e
rou te</w>
fi ght
ho pe
se tting</w>
ant ly</w>
cro ss
fant asy</w>
de e
sket ch</w>
comp li
ym i</w>
ru les</w>
engine ering</w>
fig ure</w>
ro w
. ,</w>
f w</w>
syd ney</w>
w ou
t ation</w>
dre w</w>
us es</w>
the re
sp read</w>
struc ture</w>
pat rick</w>
appa rently</w>
ro s
h ills</w>
w we</w>
ann y</w>
com mission</w>
di v
f ying</w>
con sul
anal ysis</w>
ex i
ten nis</w>
vehic le</w>
ðŁĺŃ ðŁĺŃ
as s</w>
high ly</w>
op ened</w>
b ann
ðŁĴ Ļ
mp h</w>
wi shing</w>
v or</w>
fi f
give away</w>
r r
ra y
je ss
g at
ic ymi</w>
x it</w>
high est</w>
yor k
pi e</w>
invol ved</w>
high er</w>
ri e</w>
mal ay
int elli
desp ite</w>
che e
sar ah</w>
be an</w>
reco gni
ar sen
tal ented</w>
pas sion</w>
ic h
ab c</w>
lead s</w>
dise ase</w>
v is</w>
se c</w>
pre senting</w>
m illi
hol e</w>
sho ts</w>
de part
surger y</w>
gov t</w>
b in</w>
du al</w>
e vi
lon ger</w>
ev ol
scre en
portra it</w>
et c</w>
lo se</w>
ch at
p en</w>
p i</w>
om a</w>
s ick</w>
er c
compan ies</w>
en try</w>
plan e</w>
gr y</w>
ven e
liver pool</w>
premi ere</w>
sha red</w>
a red</w>
fil ms</w>
ir a</w>
holi days</w>
cric ket</w>
ici an</w>
v ing
. )</w>
ul timate</w>
di vision</w>
con duc
se pt</w>
for ces</w>
mon t</w>
s mart
disa pp
sun shine</w>
in d
b less</w>
ma de
col ors</w>
fran k
ir on</w>
bott le</w>
s go
m ood</w>
j ason</w>
er ic</w>
bir th</w>
te en
respon se</w>
tar get</w>
state ment</w>
fe ar</w>
th el
al um
ar ab
bl in</w>
direc tion</w>
ste ps</w>
er ial</w>
wor ked</w>
at l
ðŁĴ ķ
fel t</w>
pol i</w>
scen es</w>
hom es</w>
b ell
e at
ate ful</w>
t in</w>
l ace</w>
fol ks</w>
p se</w>
an n</w>
wis dom</w>
fa v</w>
but ter
s r</w>
are as</w>
sm oo
bi z</w>
dg es</w>
app o
mo re
the m
effe ct</w>
windo ws</w>
sun ny</w>
cap ital</w>
tot ally</w>
c ities</w>
gr ant</w>
mb ers</w>
s low</w>
au tu
il ities</w>
w ro
ri sing</w>
st ics</w>
viol ence</w>
i gh</w>
qu ot
h it
t c</w>
herit age</w>
bu ff
ne s
z ar
den tial</w>
ex ac
ed ge</w>
de ep
aren a</w>
be came</w>
benef its</w>
mar ks</w>
mb er
a z</w>
am es</w>
pre ci
dra gon</w>
re g
d ings</w>
do s</w>
ðŁĴ ª
n el
s ity</w>
me al</w>
di st
leg end
pur chase</w>
pic al</w>
st ick
f at</w>
du ba
profe ss
car to
pro f</w>
coun tries</w>
respon si
se qu
fa b</w>
tribu te</w>
hon ored</w>
prac tic
pur ple</w>
an ton
pa red</w>
t ough</w>
summ er
environ ment</w>
s ons</w>
ðŁĻ ı</w>
m ps</w>
gi es</w>
her oes</w>
t elling</w>
hen ry</w>
f en
know ledge</w>
Ģ ï¸ı</w>
f r</w>
ne g
u re
ac king</w>
hear ts</w>
s oo
hol lywood</w>
ju mp
sau ce</w>
schedu le</w>
tur n
yo ga</w>
cre ating</w>
c ket</w>
cre ek</w>
â Ń
custom ers</w>
ma dri
gu l
asse mb
moun t</w>
c ell</w>
to p
st al</w>
dav is</w>
t wi
sig n
premi er</w>
iti ons</w>
he aring</w>
un k</w>
pati ents</w>
app ear
heav en</w>
al ty</w>
doc tor</w>
a e
plat form</w>
je ff</w>
ðŁĵ ·</w>
regi onal</w>
bi d</w>
box ing</w>
ex ten
or ity</w>
a w</w>
w ise</w>
il le</w>
sever al</w>
bi e
s itu
sy ria</w>
âľ ħ</w>
remin der</w>
enter tain
li on</w>
part ners</w>
in n</w>
ph ar
f au
pl s</w>
expe cted</w>
sug ar</w>
deci sion</w>
s b
ch ron
associ ation</w>
leav es</w>
vis ited</w>
sh ap
ðŁĴ ĸ</w>
fur ther</w>
h ann
w i</w>
run s</w>
l er
fun ding</w>
fil led</w>
.. ....</w>
tin y</w>
han g</w>
or g</w>
co ol
se min
ðŁı Ĩ</w>
spon s
nav y</w>
sa int</w>
dru g</w>
d al</w>
r oun
co vered</w>
tra ditional</w>
invest ment</w>
de te
al ism</w>
f low</w>
n is
sun rise</w>
fe at</w>
f ted</w>
we ird</w>
je re
ve gan</w>
medic ine</w>
an o
ac cu
deli very</w>
temp le</w>
chang ing</w>
wil son</w>
phili pp
re fe
n d
is er</w>
g ay</w>
r and
ati ves</w>
t ely</w>
p and
intelli g
g are
am bas
de mon
commit tee</w>
strate gy</w>
refu ge
bud get</w>
prote c
pi er
ex press</w>
nom in
econom y</w>
al low
ic on</w>
gal ax
o h
indi vi
dem and</w>
vir gin
lu ke</w>
ali sts</w>
man i
s mi
ju dge</w>
ent y</w>
mic hi
resul t</w>
am ed</w>
spe aks</w>
' ,</w>
hou ston</w>
sh in
b ing</w>
fl y
ch em
au to</w>
v as
ge t
ar m
thank s
d in</w>
gan g</w>
x x
si on
loc ated</w>
p l</w>
jo sh</w>
in fo
jo ins</w>
adver ti
ot d</w>
el d</w>
si e</w>
re asons</w>
v ent</w>
ðŁĩºðŁĩ ¸</w>
â ł
convers ation</w>
stu di
ðŁĶ¥ ðŁĶ¥
go s</w>
s ounds</w>
un it</w>
mu sc
ge l</w>
ack ed</w>
pac i
co s</w>
de re
u u
a o</w>
la m</w>
inspir ing</w>
ar ms</w>
tw are</w>
mat ters</w>
ad dic
du de</w>
ex t
cri sis</w>
b ath</w>
me et
sing h</w>
expe ct</w>
del hi</w>
resc ue</w>
wor st</w>
au g</w>
shi pping</w>
ser ving</w>
st o</w>
dar k
ac es</w>
histor ic</w>
landsc ape</w>
desig ner</w>
b illion</w>
gr ateful</w>
wa ke</w>
e ve
m iller</w>
hou sing</w>
dy nam
is co</w>
be ha
sh op
pr ou
e as
a sia</w>
e ding</w>
k on
depart ment</w>
aw ar
mar ine</w>
in ci
photograph er</w>
ta pe</w>
lo go</w>
r ings</w>
d it
-- --
vin yl</w>
w c</w>
vo ting</w>
se ven</w>
ambas sad
dal las</w>
t u</w>
com ment</w>
k ra
b les</w>
w ag
u d</w>
au dio</w>
stri ke</w>
offici al
o ts</w>
me tho
to ols</w>
ra di
al an</w>
hun t</w>
wat ched</w>
a ke</w>
fa ke</w>
drin king</w>
mer ry</w>
m l</w>
b day</w>
ri o</w>
ni ke</w>
c ant</w>
re pe
co stu
mur der</w>
ak ers</w>
ch ers</w>
ou ts</w>
beg inning</w>
so s</w>
ad es</w>
n in
not es</w>
wro te</w>
sol o</w>
c i</w>
li ghting</w>
ur ban</w>
bre xit</w>
att end</w>
shir ts</w>
pla yo
ac tress</w>
pl ic
stand ard</w>
quot es</w>
par ade</w>
anci ent</w>
 ©</w>
tur ing</w>
re e</w>
pri mary</w>
fla sh</w>
citi z
mat es</w>
ste in</w>
z i</w>
clin ton</w>
sk in
gen e
hu m
g ar</w>
t le</w>
y i
fo cu
de an</w>
pl ants</w>
cy ber
b u</w>
om e</w>
ho p</w>
ad dress</w>
ti x</w>
gi fts</w>
relation ship</w>
sub scri
fe ed</w>
exac tly</w>
haw ks</w>
ex o</w>
stre ss</w>
s n</w>
arre sted</w>
an e
sof tware</w>
z ero</w>
the me</w>
mu mb
im migr
mi a</w>
make up</w>
ple asure</w>
uni vers
har b
eng ine</w>
ap er</w>
r in
br a</w>
institu te</w>
le ather</w>
al th</w>
sing ing</w>
co s
gh ty</w>
me as
st ic
si de
insur ance</w>
co t</w>
pit ch</w>
moun tains</w>
cri min
su pre
valent ine</w>
at er</w>
wou ldn</w>
sc ale</w>
rel ated</w>
re gar
star tup</w>
pack ed</w>
mi ke
week ly</w>
p ts</w>
coun t</w>
ha r</w>
gott en</w>
min d
ber lin</w>
con ditions</w>
swit ch</w>
cor n</w>
sa ve
g li
emer gency</w>
tun ed</w>
sto ck
discu ssing</w>
every body</w>
s day
whe ther</w>
wrest ling</w>
ec es</w>
gen der</w>
ch en
ðŁij Ģ</w>
madri d</w>
mar athon</w>
e gg</w>
i er</w>
th x</w>
as king</w>
kore a</w>
wol f</w>
ay a</w>
g m</w>
g au
at ory</w>
v r</w>
gra ss</w>
k illing</w>
b ble</w>
ur o</w>
un i</w>
e th</w>
sh ore</w>
th en
re ale
bot tom</w>
ex erc
k ar</w>
or ies</w>
ad ri
san ds</w>
se x</w>
. '</w>
volunte ers</w>
per form</w>
par liam
inclu de</w>
deli ghted</w>
execu tive</w>
fu el</w>
kis s</w>
ã ħ
char ge</w>
h u</w>
ca kes</w>
ve t</w>
g lu
agre e</w>
pr ices</w>
n au
h l</w>
g ru
ra j
streng th</w>
b ic
sp ending</w>
al es</w>
av en
b last</w>
: (</w>
yo f
nor mal</w>
si x
qu ick
se a
d aw
mee ts</w>
lo vers</w>
upd ated</w>
po tat
comple ted</w>
coo k</w>
opportun ities</w>
p ure</w>
organ ic</w>
tem per
c am</w>
avo id</w>
par king</w>
duba i</w>
and o</w>
di stri
to y</w>
comple tely</w>
don ald
tri al</w>
bas s</w>
b oun
back ground</w>
v as</w>
mar vel</w>
lu m</w>
ru s</w>
t ool</w>
com missi
throw back
fin ding</w>
is lam
! ?</w>
st op
e vil</w>
or al</w>
resi dents</w>
i denti
o ak
ðŁİ ¶</w>
l il
span ish</w>
chap ter</w>
sto pped</w>
direc t</w>
ho sted</w>
pic ked</w>
lab our</w>
lew is</w>
defen se</w>
à ®
health care</w>
wh is
mat h</w>
pe ak</w>
ra ised</w>
fi x</w>
bu ll</w>
th ir
chel sea</w>
fol k</w>
tr e</w>
can di
pau l
ei ther</w>
ad am
poe try</w>
jewel ry</w>
ðŁ ¦
pr ay</w>
Ø §
g c</w>
o z</w>
wi shes</w>
fore ign</w>
sun g</w>
lear ned</w>
en e</w>
n ing
micha el
illu stration</w>
legend ary</w>
w av
b au
ðŁļ ¨</w>
cal end
stre ets</w>
â Ĩ
mon ster</w>
bu ck
g r</w>
scho ol
ba th
wa ste</w>
ne ck
ha wa
be ach
re plac
jec t</w>
on er</w>
fac tory</w>
coun t
ðŁĵ ¸</w>
mor gan</w>
der ing</w>
se an</w>
steph en</w>
de p
no vel</w>
vide os</w>
ic al
press ure</w>
arsen al</w>
ex pre
ir s</w>
tren ding</w>
ss a</w>
fla sh
re sear
thr ough
profess or</w>
scul p
to s</w>
gg ed</w>
mm a</w>
be e
a pe
hun ter</w>
am i
he i
pla stic</w>
bu cks</w>
uni verse</w>
le gen
niger ia</w>
ple ased</w>
ri s
thin ks</w>
autu mn</w>
i ds</w>
d is</w>
anth ony</w>
ðŁı ½</w>
ak ed</w>
gla sses</w>
fin ance</w>
z er
k as
con tract</w>
nu mbers</w>
sh aw
partner ship</w>
t il
laun ched</w>
s al</w>
victor ia</w>
theat er</w>
usu al</w>
nam es</w>
perio d</w>
eli za
i th
bar cel
ro cks</w>
bag s</w>
mat e
distri bu
j on</w>
di ffic
ali zed</w>
cur ren
sco red</w>
b ha
du blin</w>
ro se
in ted</w>
soli d</w>
beha vi
wal ker</w>
simp ly</w>
garden s</w>
head ed</w>
in i
ohi o</w>
we ap
f o</w>
gl en
e state</w>
ran dom</w>
th under
thr u</w>
k ill
jac ket</w>
it i</w>
entertain ment</w>
thanks giving</w>
ent al</w>
en coura
el o
a ther
tan k</w>
high lights</w>
f ting</w>
ru le</w>
model s</w>
bor der</w>
bj p</w>
hus band</w>
in done
ken ya</w>
be ars</w>
al o</w>
n inten
pi x
str o</w>
or ders</w>
sal ad</w>
ro ads</w>
n or</w>
l ation</w>
sop hi
ðŁı ¼
pi eces</w>
b one</w>
min s</w>
inclu des</w>
nu tr
phi l</w>
s ent
fun dra
ga in</w>
bor ough</w>
n ad
mon day
activ ity</w>
it ems</w>
be coming</w>
ken ne
de tro
car di
gue sts</w>
u x</w>
world wide</w>
sever e</w>
new s
thank ful</w>
fic tion</w>
ve ge
m all</w>
si an</w>
er al</w>
inj ury</w>
le e
men u</w>
danc ing</w>
scot ti
exam ple</w>
( #</w>
na i
studi os</w>
ba i
ðŁĴ Ľ</w>
j av
diam ond</w>
vin ce</w>
ric k
prote ction</w>
lin col
cham ps</w>
appro ach</w>
d ar</w>
m ile</w>
clou ds</w>
je ff
in fin
l ers</w>
p les</w>
pe ace
go p</w>
âĻ ¡</w>
tech n
str a</w>
a verage</w>
ef fort</w>
introduc ing</w>
di versity</w>
austr alian</w>
am p</w>
boo st</w>
s ke
pati ent</w>
appreci ate</w>
ici ans</w>
pu r</w>
f ell</w>
woo ds</w>
illu str
ðŁ ĸ
ag ency</w>
ac tions</w>
brit ain</w>
under way</w>
se attle</w>
el and</w>
ag o
f ill</w>
stre aming</w>
pro test</w>
challeng es</w>
ky o</w>
et sy</w>
coo king</w>
exper t</w>
ru ss
rain bow</w>
commer cial</w>
sp in
be ats</w>
c ry</w>
val u
el i</w>
th row</w>
gr ams</w>
le vels</w>
michi gan</w>
c ad
ador able</w>
const itu
w s
pu b</w>
mid night</w>
th at
net fli
braz il</w>
die go</w>
regu lar</w>
jo y
âĤ ¬</w>
li qu
ea stern</w>
k ni
fl at</w>
n p</w>
bro wn
w er
se y
tt ers</w>
ac ting</w>
v anc
cy cling</w>
program me</w>
ra w</w>
comple x</w>
tat too</w>
throwback thursday</w>
se ssions</w>
ro oms</w>
si ght</w>
speci es</w>
bom b</w>
lau gh</w>
ke eps</w>
mo on
offic ers</w>
con ver
t r</w>
ha sh
t ack
ri ous</w>
ad ap
a j</w>
reco gn
ex po</w>
sug ge
confir med</w>
rol ling</w>
dre ssing</w>
ic t</w>
fri day
ph ones</w>
ri dge</w>
con cept</w>
ro y</w>
ke ys</w>
ef for
c ate
k ne
ev en
l ay</w>
commun ities</w>
mo d
n az
every where</w>
al ab
bit coin</w>
ban ks</w>
out door</w>
feder al</w>
sto res</w>
h p</w>
c al</w>
m ely</w>
sig nific
be ar
re public
clo ser</w>
al lah</w>
pic k
x d</w>
pal ace</w>
ch ill</w>
b am
er ous</w>
un a</w>
al len</w>
out standing</w>
olym pic</w>
supp ly</w>
fi gu
v au
l p</w>
char lie</w>
un es</w>
> >></w>
legen ds</w>
ici al</w>
co ast
benef it</w>
mul ti</w>
f its</w>
far mers</w>
am ount</w>
si sters</w>
har ve
hon ey</w>
que en
b ers</w>
pl ann
âŃ IJ
m u</w>
barcel ona</w>
al ber
stat us</w>
re main</w>
ex tra
c andy</w>
vi ous</w>
âľ Į
o v
warri ors</w>
-- ></w>
ju mp</w>
am ar
x mas</w>
stu dies</w>
i ors</w>
k or
don ate</w>
pre p
fi sh
im a</w>
pain ted</w>
ad mini
co splay</w>
spor ts
dro ps</w>
fi ghter</w>
evi dence</w>
ðŁĴ ª</w>
la ke
ro b</w>
cine ma</w>
pro file</w>
à ±
stan ds</w>
leg acy</w>
sh ape</w>
ro of</w>
ci vil</w>
i ans</w>
sy l
sh am
vo ted</w>
re tail</w>
ph illi
li sted</w>
du ty</w>
n b
th es</w>
f are</w>
au ction</w>
ffici al</w>
stor ms</w>
d p</w>
l oun
sh ops</w>
al y
ani me</w>
multi ple</w>
ðŁĺį ðŁĺį</w>
psy cho
je an</w>
ap art
candi date</w>
gg y</w>
con f</w>
jose ph</w>
w ick</w>
me at</w>
fr ame</w>
c l</w>
for got</w>
ph y
f ing
li ed</w>
re p</w>
se ed</w>
f all
u fc</w>
nu t</w>
lin d
mo de</w>
fiel ds</w>
en ce
s ley</w>
ðŁ¤ Ķ</w>
ch ill
follow ed</w>
announ ces</w>
cor ru
tro phy</w>
them selves</w>
ac le</w>
al du
k ong</w>
l on</w>
s v
bro ke</w>
ander son</w>
ta i
stor y
tempor ary</w>
activ ities</w>
k ati
ari z
cry stal</w>
spo ke</w>
extre mely</w>
tra ding</w>
ðŁĴ ļ</w>
à ¼
in ch</w>
ed in
out fit</w>
equ ip
ma di
form ed</w>
be ef</w>
po p
ti ger</w>
this day</w>
ti red</w>
neigh b
re tro
is a</w>
un t</w>
t as
kan sas</w>
de st
secon ds</w>
ta y
hur ric
o u</w>
galax y</w>
dad dy</w>
bro w
bur ger</w>
en ced</w>
de sk</w>
ac cur
secre tary</w>
el ite</w>
k ab
ch in
touri sm</w>
bud dy</w>
ici de</w>
dre ssed</w>
u d
vac ation</w>
che ers</w>
com for
charac ters</w>
j et</w>
bu ying</w>
l ins</w>
n ap
reale state</w>
li e
af c</w>
i ii</w>
f ame</w>
n r
b at</w>
ag ent</w>
ma kers</w>
âĢ ¼
sec tor</w>
op ti
le on
di et</w>
pra yer</w>
hi p</w>
mi r</w>
le x
br y
an a
pas sing</w>
w en
reco very</w>
ak i</w>
po pul
res ort</w>
mar ia</w>
stu ck</w>
read s</w>
ti er</w>
perfe c
netfli x</w>
p oo
cham p</w>
o c</w>
re duce</w>
we red</w>
comm ents</w>
cla im</w>
acci dent</w>
s ag
h ack
sal t</w>
kin da</w>
k iller</w>
i os</w>
z y
ex change</w>
lec ture</w>
eng er</w>
ic king</w>
t au
reve als</w>
pri son</w>
z om
gh an</w>
u l</w>
jour nal</w>
i ot</w>
tr in
jon a
govern or</w>
cap e</w>
quar ter</w>
spec tive</w>
impre ssive</w>
bab ies</w>
t x
m ill</w>
o y
har ri
jo int</w>
su e</w>
collabor ation</w>
tren d</w>
revolu tion</w>
re new
alum ni</w>
ge tt
sh ell</w>
sun day
ent u
ni c</w>
donald trump</w>
block chain</w>
paci fic</w>
expla ins</w>
sp y</w>
ad voc
par adi
to f
star ring</w>
p av
fe ed
br ac
smo ke</w>
ham p
y am
to kyo</w>
si mon</w>
d h
e ffici
phys ical</w>
n j</w>
ell i</w>
s low
gradu ate</w>
americ ans</w>
ti fy</w>
f red</w>
ap ore</w>
fin ds</w>
rob in
we t</w>
not ice</w>
se mi</w>
un ve
k om
pil ot</w>
scre ening</w>
da ily
ðŁĴ Ĺ</w>
roy al
sp a</w>
vo tes</w>
n ag
wh ate
att ending</w>
exper im
ad dition</w>
k ate</w>
sto l</w>
m ali
foo t
chri st</w>
ch an</w>
de e</w>
lic en
glo bal
mo ore</w>
ti a</w>
bri gh
myster y</w>
y ay</w>
âĿ¤ï¸ı âĿ¤ï¸ı
cre ati
me chan
clo ck</w>
di c</w>
âĢ Ķ
pp er
al ph
through out</w>
al low</w>
re sources</w>
selec tion</w>
ham il
bb q</w>
aa aa
virgin ia</w>
dis ney
en g</w>
so red</w>
drin ks</w>
f ancy</w>
consi der</w>
end a</w>
jan e</w>
hand made</w>
du l
on tari
i us</w>
s ville</w>
color ado</w>
whate ver</w>
whe el</w>
promis e</w>
ne ver
desig ns</w>
ab ly</w>
sex ual</w>
vanc ou
at i</w>
con vention</w>
cul tural</w>
sing apore</w>
pro mo</w>
load ed</w>
gla sgo
pp l</w>
n oo
ke e</w>
ste m</w>
men tion</w>
i do
cru ise</w>
ri ding</w>
be comes</w>
be y</w>
âļ½ ï¸ı</w>
tw in</w>
dedic ated</w>
na sh
de si
work out</w>
jen ni
i v
grou ps</w>
rela x
pho eni
li ft</w>
mix ed</w>
m ck
p c
mu st
me tro</w>
ci es</w>
y ar
a im
ang er</w>
i e
rec y
marri ed</w>
dro pped</w>
eng ag
le st</w>
ambassad or</w>
op h
de s
w ick
assi stant</w>
nat ur
fa il</w>
l td</w>
shor t
k ap
sha w</w>
bi gger</w>
rema ins</w>
crit ical</w>
sur vey</w>
co verage</w>
er son</w>
win d
n b</w>
bil ly</w>
let es</w>
ac ts</w>
jim my</w>
at lan
al and</w>
t c
import ance</w>
dam age</w>
f g</w>
stor age</w>
tw t</w>
bon d</w>
bal ance</w>
cr ying</w>
pu ppy</w>
vo te
pu sh</w>
ðŁĴ ľ
pol y
me l</w>
lon don
terr ori
effec tive</w>
corpor ate</w>
atl anta</w>
jac o
nas a</w>
gre ek</w>
sen ate</w>
i sh
ev a</w>
intellig ence</w>
effor ts</w>
al co
k un
h all
di ag
claim s</w>
fir st
h b
ba e</w>
v ul
pu ll</w>
 °</w>
se par
spe ed
vic ti
on thisday</w>
audi ence</w>
r ates</w>
te ach</w>
fil ming</w>
bu sh</w>
son g
y um
br un
ra ine</w>
aw a</w>
par ks</w>
ð Ŀ
ra bb
ra ch
ra id</w>
reach ed</w>
ra il</w>
mo ves</w>
selec ted</w>
fr i</w>
ra ising</w>
om y</w>
st ones</w>
su k</w>
franc isco</w>
cas es</w>
cap it
con fu
w tf</w>
po ke
equip ment</w>
gre g
ess ential</w>
off ering</w>
ne x
pi es</w>
be c
cre ation</w>
chair man</w>
cro wn</w>
w al</w>
john ny</w>
shi ft</w>
ne ck</w>
ban g</w>
bir d
ðŁĺ ı</w>
du ck</w>
re serve</w>
de pu
ma sters</w>
over all</w>
no tic
ju ice</w>
sne ak</w>
che er</w>
cla sses</w>
eag les</w>
n ca
car pet</w>
ci vil
coach es</w>
har ris</w>
u ps</w>
b alls</w>
dec or</w>
mar tin
ro s</w>
v ice</w>
announ cement</w>
who se</w>
ti gers</w>
ste red</w>
c ts</w>
dr am
ste el
youn g
inst all
supp o
recor ding</w>
de ck</w>
se ats</w>
l der</w>
ang le</w>
bo t</w>
sty les</w>
elec tions</w>
for tun
n ab
but ter</w>
ari an</w>
ka sh
in ner</w>
ou red</w>
be ast</w>
we i
ic onic</w>
exper ts</w>
ne cess
b eng
jam es
li a</w>
gre ece</w>
ðŁĵ ·
ðŁĺ ģ
good bye</w>
m itch
tw ice</w>
mumb ai</w>
ste am</w>
ru sh</w>
med al</w>
ne tt</w>
fashi on
t ar</w>
r s
sav ing</w>
ric ul
l m
sleep ing</w>
brook lyn</w>
mis s
sen ding</w>
disco vered</w>
sp here</w>
of theday</w>
k icks</w>
missi ons</w>
w right</w>
er n
ght ly</w>
i ous</w>
mel bourne</w>
star tu
mo ved</w>
car ry</w>
d ak
ag ues</w>
bel gi
e ma
way ne</w>
do t</w>
er ie</w>
pe l</w>
it unes</w>
matthe w</w>
no body</w>
est ab
cal m</w>
win ds</w>
lu c
prep are</w>
tren ds</w>
exerc ise</w>
adv ant
ðŁĴ ¯</w>
athle tics</w>
app s</w>
c tions</w>
adv ance</w>
laun ches</w>
litt le
real donaldtrump</w>
eliza beth</w>
carol ina</w>
hu b</w>
hi dden</w>
n w</w>
us er</w>
pol l</w>
great er</w>
mo st
f ed</w>
p at</w>
life style</w>
s ati
sco res</w>
marri age</w>
l r</w>
aven ue</w>
de serve</w>
ri f
ðŁ Ĺ
wat ch
champion ships</w>
gr ay</w>
en ni
cot ton</w>
g om
whe re
pack age</w>
su m
ab solu
new ly</w>
foo ds</w>
ty ler</w>
assemb ly</w>
musli m</w>
ban k
re memb
op tions</w>
produc er</w>
land o</w>
fun ds</w>
u pper</w>
shad ow</w>
pro gre
co p</w>
ing e</w>
leg s</w>
detro it</w>
hill ary</w>
jo se</w>
gi ants</w>
sou p</w>
sustain able</w>
t us</w>
clo thes</w>
roc king</w>
n z</w>
min ne
mat eri
bru ce</w>
ear t
ca sting</w>
independ ent</w>
thou sands</w>
ta h</w>
de cl
veter ans</w>
li ons</w>
wra p</w>
âĢ ¦
de ss
bl ing</w>
st ine</w>
e ggs</w>
o on</w>
clo sing</w>
z ay
at t</w>
bac on</w>
fa il
ariz ona</w>
de pre
gho st</w>
new sp
w ers</w>
vi p</w>
li ked</w>
id ent
volunte er</w>
ad ult</w>
pu pp
cir cle</w>
mat erial</w>
degre e</w>
gro wn</w>
boo m</w>
calend ar</w>
su r</w>
vie wing</w>
ath letes</w>
ch and
re ll</w>
asi an</w>
en tr
vol ley
victi ms</w>
bo dy
m ama</w>
trans fer</w>
ge ek</w>
in dic
sav ed</w>
ma i
g ent</w>
it s
loun ge</w>
k ol
the ory</w>
situ ation</w>
is lands</w>
ar th
z oo</w>
floo d</w>
vi ously</w>
show ed</w>
parliam ent</w>
ch ev
el ine</w>
at trac
ab ad</w>
ta il
h rs</w>
lu s</w>
por tu
gor y</w>
provi des</w>
to ys</w>
de ath
in fe
an ce
g le
li am</w>
lo ver</w>
hu d
dv d</w>
reve aled</w>
g w
re ment</w>
ca the
l ying</w>
ra dio
der by</w>
stor s</w>
che mi
hosp it
âľ ¨
' :</w>
ilo ve
le mon</w>
re public</w>
s ni
ne ss
do or
re action</w>
pre gn
fla v
schol ar
spo tify</w>
is ation</w>
vis ual</w>
aw are</w>
spon sored</w>
jo ke</w>
less ons</w>
leg is
lo ck
si mil
ðŁĺ ĭ</w>
kin d
la y
ma h
ho ping</w>
vancou ver</w>
as er</w>
clean ing</w>
gal a</w>
thre at</w>
la p
ach e</w>
ro mance</w>
ex pen
re post</w>
z am
e pi
mir ror</w>
o ak</w>
ad ul
bat man</w>
s lu
l c</w>
vie wed</w>
re views</w>
d ates</w>
indone sia</w>
acti vi
off en
lea f</w>
i si
ag ricul
costu me</w>
s ites</w>
spir itu
appear ance</w>
ir y</w>
st air
applic ation</w>
spec tac
ic ity</w>
ski es</w>
hand le</w>
pun k</w>
paradi se</w>
t n</w>
de al
provi ding</w>
do c</w>
recei ving</w>
bre w</w>
micro soft</w>
à ¶
fer r
me tro
th ail
y um</w>
car ter</w>
à ¡
gent le
bre aks</w>
coo per
show case</w>
cu tting</w>
egy pt</w>
bab y
semin ar</w>
gl ori
ss on</w>
fa ve</w>
re hear
lo tte</w>
la dy
al as
pre p</w>
deli vered</w>
nu clear</w>
ir o</w>
engag ement</w>
at ta
con ven
z an
gl ory</w>
hol ds</w>
busine sses</w>
str ange</w>
sch e</w>
it self</w>
gra d</w>
mar kets</w>
f alling</w>
st ats</w>
ge on</w>
bu dd
li s
she et</w>
thi si
co lo
deser t</w>
regi stration</w>
ig n
expla in</w>
inter ior</w>
la ws</w>
writ ers</w>
spr ings</w>
k r
fri ed</w>
blo om
inf ra
a o
cre d
pa st
line up</w>
bo o</w>
bre a
boo ts</w>
celebr ity</w>
att acks</w>
bro ok</w>
ev es</w>
ex cu
cher ry</w>
oo p</w>
fas cin
boy friend</w>
se as
n ine</w>
effec ts</w>
po wered</w>
k ha
ðŁĺ Ģ</w>
sh out
con dition</w>
i j
her o
enter pri
win ter
applic ations</w>
sho e</w>
g el
batt le
pro grams</w>
w art</w>
ðŁĴ ¥</w>
ra p</w>
ho l</w>
dang erous</w>
di a
coun ter</w>
ric s</w>
i or
k night</w>
co at</w>
emo tional</w>
at ures</w>
d as</w>
whe el
fore cast</w>
tran sport</w>
glasgo w</w>
king dom</w>
prepar ing</w>
im medi
ff in</w>
awar ded</w>
prin ting</w>
ro man</w>
fight ers</w>
any more</w>
bel t</w>
p ine</w>
win e
x i</w>
employe es</w>
logi es</w>
al led</w>
de mo</w>
birth day
ange les</w>
lo g</w>
dri vers</w>
neck lace</w>
k ath
s it
athle te</w>
ef s</w>
s burg</w>
pur pose</w>
resi stance</w>
rele ases</w>
t is</w>
vari ous</w>
deli ver</w>
ch al
s anc
opp o
cra w
neu ro
dr a</w>
suppor ters</w>
sna p</w>
diffic ult</w>
swe ar</w>
logi st</w>
pa th
attemp t</w>
à ¥
swim ming</w>
ste ve
hur t</w>
inclu ded</w>
b ap
wa re
ðŁĴ ĭ</w>
end ers</w>
ja ke</w>
le eds</w>
cli mb
l b</w>
im ple
li sa</w>
clo thing</w>
ðŁĺ İ
d t</w>
com pla
sw ing</w>
stra w
v als</w>
k le</w>
us ers</w>
stor m
cu ts</w>
ontari o</w>
p an</w>
hand some</w>
i ow
ar gu
chec king</w>
scotti sh</w>
Ķ ï¸ı</w>
si er</w>
em ma</w>
po d</w>
patter n</w>
de sh</w>
en h
ed ward</w>
t ing
k h</w>
hal f
lincol n</w>
mo ther
al leg
r c</w>
volley ball</w>
d n</w>
g ay
all y
le ton</w>
gro ve</w>
l oud</w>
adv anced</w>
re spec
cli ent</w>
supre me</w>
thail and</w>
ho w
gi g</w>
to i
do t
dol lar</w>
ðŁij ĩ</w>
p it</w>
r b</w>
h n</w>
produc ed</w>
gg ers</w>
âĨ Ĵ</w>
ml b</w>
can vas</w>
fin eart
us d</w>
in the
p son</w>
actu al</w>
s l</w>
t b</w>
ip ad</w>
en sure</w>
u mb
w d</w>
sk a</w>
mar s</w>
k end
f eli
th ing
count down</w>
absolu te</w>
r out
dra l</w>
p y</w>
inju red</w>
min t</w>
hun ting</w>
mm er</w>
s age</w>
li gh
ac ity</w>
ex pan
mur ray</w>
ar o
sec ure</w>
four th</w>
eag le</w>
reli ef</w>
st akes</w>
industri al</w>
clar k</w>
under standing</w>
see m</w>
pl enty</w>
sil ver
cla u
thre at
sa il
pro duce</w>
ab str
is is</w>
b r</w>
eng ers</w>
wor ry</w>
bie ber</w>
s j
just in
reali ze</w>
ky le</w>
esp n</w>
fil ter</w>
s ch</w>
ty pes</w>
game dev</w>
d ing
twit ter
soldi ers</w>
p om
car bon</w>
y ards</w>
child hood</w>
ri ed</w>
ke l</w>
ele ph
t ons</w>
key note</w>
qui et</w>
wi re
po sting</w>
is sa</w>
repre senting</w>
bac ks</w>
alex ander</w>
celebr ates</w>
ta ining</w>
| |</w>
ch or
esc ape</w>
pe ek</w>
ti ves</w>
fiel d
ssi e</w>
im pac
spons or</w>
r c
we dd
cann ab
si des</w>
trac ks</w>
com par
con trac
techn ical</w>
bi ble</w>
expl oring</w>
sh are
tra v
n ate</w>
ill o</w>
sc ru
m ingham</w>
gun s</w>
of the
sh ame</w>
se es</w>
ca tho
ac cess
ce l</w>
repor ted</w>
 »</w>
mari o</w>
p ad</w>
hope fully</w>
ou se</w>
y on</w>
disapp o
ol o</w>
p itt
pa c</w>
ga p</w>
cru sh</w>
s g</w>
k le
ge m</w>
emp ire</w>
dir ty</w>
a is
avi ation</w>
ze aland</w>
fac ing</w>
high way</w>
d anny</w>
spi der</w>
ot ta
ðŁĺ Ħ</w>
w y</w>
col ours</w>
in fl
co sts</w>
olym pics</w>
au s</w>
h m</w>
ho ward</w>
pas ses</w>
lau ren</w>
mu sh
op in
r ho
disc ount</w>
oper ation</w>
em ily</w>
mm m</w>
cham ber</w>
d il
to yo
shi p
sam u
pic tured</w>
un ic
po l</w>
keep er</w>
carto on</w>
st en
ig nor
n ations</w>
n l</w>
ta sting</w>
deta il</w>
offici als</w>
mo tor</w>
franc is</w>
ed itor</w>
ðŁij ĩ
pe ts</w>
rang ers</w>
t g
r n</w>
w ri
nic hol
i se
spo ts</w>
ani e</w>
chec k
tri ple</w>
ku mar</w>
spe akers</w>
ic ing</w>
pre pared</w>
ab use</w>
friend ship</w>
mon th
swi m</w>
air e</w>
sc ent</w>
hamil ton</w>
indi an
j es
yum my</w>
te ars</w>
da wn</w>
i zed</w>
worl ds</w>
ðŁ ķ
b illi
st one
n hs</w>
ba sic</w>
p or</w>
st le</w>
ir on
ol der</w>
cle vel
e ing</w>
ðŁĺįðŁĺį ðŁĺį</w>
prin ts</w>
fir m</w>
air craft</w>
fin est</w>
devel op</w>
aar on</w>
t z
gra ham</w>
own ers</w>
fo li
less on</w>
qu es</w>
bab e</w>
cra ft
ph en
ju n</w>
bir mingham</w>
v ine</w>
ll er</w>
i an
fineart america</w>
evol u
st ab
im per
war d
com ic
wi z
inv ited</w>
du ke</w>
mat ch
por ts</w>
ro ger</w>
diag no
ke pt</w>
te st
vis u
r hy
so c</w>
to x
b aker</w>
sur face</w>
co vers</w>
man s</w>
b its</w>
x box</w>
ff le</w>
n an</w>
gar d
h art</w>
wat ers</w>
v illa</w>
re tro</w>
light ning</w>
catho lic</w>
democr acy</w>
neigh bor
pen n
cr an
jona than</w>
la ura</w>
vi bes</w>
su b</w>
coach ing</w>
clear ly</w>
uk raine</w>
bra ve</w>
commit ment</w>
t all</w>
mar t</w>
ra p
mo di</w>
sco tt
bro s</w>
show er</w>
ðŁı ¾</w>
âĺº ï¸ı</w>
cou sin</w>
appro ach
br e</w>
com pos
hil ari
phil ly</w>
g ad
quick ly</w>
ri an</w>
t m</w>
vir tual</w>
hou ses</w>
k t</w>
phoeni x</w>
w ire</w>
ff y</w>
b unch</w>
anc ing</w>
tal e</w>
snap chat</w>
star ter</w>
h t</w>
k icking</w>
ap art</w>
th y
) !</w>
blo gger</w>
it z</w>
com fort</w>
ang els</w>
w ash</w>
" :</w>
ar gent
re quest</w>
hon est
mi ghty</w>
bo bby</w>
k g</w>
ro l</w>
thou se</w>
ex po
h c</w>
tab les</w>
mag ical</w>
po sts</w>
de m</w>
n w
or lando</w>
ab er
* **</w>
ðŁĺ ľ</w>
environ mental</w>
trans formation</w>
mi le
w ic
hir ing</w>
ma ine</w>
bo ar
r ying</w>
ti s
nit ure</w>
twee ted</w>
anton io</w>
opin ion</w>
fin ale</w>
di y</w>
f is
th in</w>
trou ble</w>
le go</w>
fi les</w>
qu art
sp a
curren cy</w>
cli mate
fan art</w>
rail way</w>
sp ace
ban ds</w>
dani el
mo tion</w>
l eng
hol der</w>
oc cu
mar ie</w>
cathe dral</w>
bu zz
bi es</w>
nas car</w>
bm w</w>
bat tery</w>
char lotte</w>
doc tor
zz le</w>
se ven
in san
d dy</w>
st en</w>
lab or</w>
thr illed</w>
se ren
docu mentary</w>
wav es</w>
cer tain</w>
can did
allow ed</w>
ninten do</w>
star wars</w>
ta p</w>
home made</w>
d les</w>
ther ing</w>
bre e
emp ty</w>
pi ano</w>
pos iti
coun try
por k</w>
pu ts</w>
per ry</w>
m atic</w>
spot light</w>
ti st</w>
or ities</w>
we alth</w>
c p
bar bar
commit ted</w>
as sau
pro fit</w>
e ight</w>
hu l
fini shing</w>
run ner</w>
ss o</w>
insp ec
char ged</w>
christ op
lo sing</w>
co al</w>
ho o</w>
ele v
de le
mo ham
don ation</w>
c able</w>
clin ic</w>
j in
manag ed</w>
ter ing</w>
â ¬
ur ban
depu ty</w>
bb er</w>
bur n
acade mic</w>
o tt</w>
sta ke</w>
it er
sto wn</w>
ack er</w>
advent ures</w>
ad ams</w>
gre g</w>
pro m</w>
vo l</w>
ac qu
con gre
pa int
citiz ens</w>
c all
af ford
v c</w>
as ks</w>
the tic</w>
independ ence</w>
â Ľ
h itting</w>
bl on
fu ture
â ı
in no
gen e</w>
bo ards</w>
di stance</w>
se t
re mem
th al
pre vent</w>
l ang
ob jec
su sp
mat t
in duc
bor o</w>
pi one
re di
vir tu
prin ted</w>
sco pe</w>
shar k</w>
suc ce
a stron
il legal</w>
j ag
c ting</w>
ine e</w>
at o
rob in</w>
nutr ition</w>
b f</w>
du tch</w>
b n</w>
fur niture</w>
for gotten</w>
at ar</w>
ru p
hy per
bran ch</w>
communic ation</w>
degre es</w>
on ia</w>
un cle</w>
promo te</w>
or che
wi i</w>
j s</w>
but ton</w>
ma jor
c bs</w>
bri stol</w>
premi um</w>
ordin ary</w>
e dit</w>
m g</w>
we ed</w>
st even</w>
: '
gu s</w>
te s
cap tured</w>
dru gs</w>
do w
wr ites</w>
bi shop</w>
whe els</w>
ali zation</w>
disco very</w>
w r</w>
rach el</w>
ne il</w>
hy dr
cu test</w>
entreprene ur</w>
kore an</w>
ore gon</w>
ul ty</w>
perfec tly</w>
suppor ted</w>
histor ical</w>
t wins</w>
ell y
we l</w>
de vil</w>
in come</w>
scienti sts</w>
de leg
h en</w>
on i</w>
ic ed</w>
gi o</w>
cur ry</w>
reve al</w>
e g
buff alo</w>
n ol
op era</w>
camer on</w>
haha haha
j ab
gradu ation</w>
cra ig</w>
r al
i f
organi zation</w>
le ge</w>
g ang
su d
edin burgh</w>
l ack</w>
fli es</w>
g ate
thr ones</w>
q b</w>
the real
e leg
pp in</w>
c les</w>
jam ie</w>
tn am</w>
cryp to
ou l</w>
p ages</w>
a se
roo ts</w>
stu pid</w>
a did
boo t</w>
prote in</w>
s ap
si um</w>
su s
end or
fun ction</w>
don t
en na</w>
ch y</w>
squ e</w>
wor ker</w>
m tv
e a</w>
k an</w>
ðŁĴ ļ
mu s</w>
professi on
t to</w>
oper ations</w>
al lo
c tor</w>
inv ite</w>
sc and
ou th</w>
z im
lin ks</w>
cli ents</w>
sam sung</w>
discu sses</w>
n ell</w>
ul tra</w>
some where</w>
ste wart</w>
ine t</w>
de z</w>
b out</w>
fac tor</w>
ti an</w>
tr ans</w>
jere my</w>
d b</w>
ðŁĩ ¬
or n</w>
develop ing</w>
spo l</w>
coo per</w>
ma u
rememb ering</w>
tre k</w>
famil y
sen iors</w>
fo ster</w>
att ended</w>
w ing
trans form
ele mentary</w>
hor iz
li sting</w>
malay sia</w>
it ch</w>
warri or</w>
philipp ines</w>
russ ell</w>
m end
initi ative</w>
cre ep
to ps</w>
br iti
a ur
shar p</w>
adverti sing</w>
ug ly</w>
achi ev
materi als</w>
bu g</w>
dev ice</w>
bon us</w>
fac ility</w>
col e</w>
nh l</w>
y as
plann ed</w>
pol e</w>
excell ence</w>
tr ick</w>
con fl
r p</w>
achi eve</w>
lo an</w>
swa g</w>
jess ica</w>
ho we
p our</w>
sc u
z oo
r ated</w>
dre sses</w>
re bel
mex ican</w>
co ordin
me ss</w>
atlan tic</w>
t l</w>
osc ar</w>
wal ks</w>
phar mac
investig ation</w>
... #</w>
cc i</w>
eas ily</w>
monday motivation</w>
y ment</w>
au ti
for ced</w>
ar med</w>
colle agues</w>
pap ers</w>
pro per</w>
sha ke
bu c
le an</w>
exhi bit</w>
e vement</w>
co tt
bi z
sp er
k ent</w>
sw an
/ @</w>
girl friend</w>
haw k</w>
âĺ Ģï¸ı</w>
mon o
ðŁĴ Ľ
stat ue</w>
ðŁĺ ³</w>
ra s</w>
te eth</w>
preci ous</w>
t ile</w>
p am
swi ft</w>
v ali
no se</w>
dr unk</w>
experi ences</w>
come back</w>
gen ius</w>
wor se</w>
sh ef
ra d</w>
ed it
hon our</w>
au spol</w>
lar ry</w>
h ire</w>
gor don</w>
achi evement</w>
.... ....
su icide</w>
alter native</w>
su p</w>
sur roun
sha ke</w>
ke ith</w>
pe pper</w>
tur k
crimin al</w>
be ck
su m</w>
w alls</w>
cn n</w>
an tic
of fe
col li
win es</w>
high light</w>
hawa ii</w>
emb ar
l fc</w>
ðŁĩ ®
m v</w>
> >
at mo
wor d
car l
shout out</w>
bre wing</w>
ì Ŀ
do f
s ic
hot test</w>
col on
hh h</w>
shu t</w>
low ing</w>
volu me</w>
apart ment</w>
agre ement</w>
de stro
we e</w>
religi ous</w>
iow a</w>
ro d</w>
land ing</w>
re present
ðŁĵ· :</w>
la s
usu ally</w>
h l
c ac
sal v
al ong
laugh ing</w>
be ans</w>
remin ds</w>
pha se</w>
some body</w>
ma sk</w>
ran ked</w>
dest roy
sc i</w>
âĢ¼ ï¸ı</w>
gab ri
le o</w>
ro a
fa iled</w>
si l</w>
refuge es</w>
re vi
r ing
ber ries</w>
coo kies</w>
y y</w>
conserv ation</w>
sh ab
human s</w>
de termin
a in
ni all</w>
as su
mb a</w>
fro m
extre me</w>
vic es</w>
commer ce</w>
ght ful</w>
or dered</w>
suppor ts</w>
re cap</w>
v or
dro pping</w>
correc t</w>
pay ing</w>
mean ing</w>
n j
qui z</w>
" #</w>
busine ss
ðŁĩ® ðŁĩ
indi gen
du st</w>
box es</w>
bl ind</w>
x xx</w>
zz y</w>
ðŁĩ¬ ðŁĩ
ss els</w>
s ant
dd le</w>
hilari ous</w>
desig n
wonder ing</w>
vehic les</w>
k re
ju d
rece ption</w>
par ker</w>
à Ń
pri vi
hy dro
sof tball</w>
pol lu
lo cked</w>
ba h
e ar</w>
scri pt</w>
di vi
br ace
geor ge
the ast</w>
bel o
j al
tion ary</w>
dent al</w>
roc ket</w>
pur ch
sh ak
manufac turing</w>
e z</w>
it is</w>
con cep
tb all
ch s</w>
direc ted</w>
pra yers</w>
oo k</w>
phil os
vari ety</w>
che ss</w>
ser ver</w>
g and
bal ti
ðŁĵ ¸
sel y</w>
cru z</w>
spectac ular</w>
bur ning</w>
re present</w>
i z</w>
t one</w>
mer ce
h ell
bed room</w>
estab li
bo l</w>
com mon
ãĥ »
ab or
kit ty</w>
hei ghts</w>
re pair</w>
willi am
qu ake</w>
alab ama</w>
popul ation</w>
re v
re tt</w>
i sts</w>
n ite</w>
le m</w>
a ha</w>
clevel and</w>
r m</w>
po ver
ob se
mon tre
man ia</w>
 ®</w>
con ne
car ni
sh ah</w>
f y
u a</w>
sc or
strugg le</w>
bo b
' '</w>
appro pri
deci de</w>
ff ed</w>
ca ster</w>
s ort</w>
hun gry</w>
dra g
ا Ù
gr ounds</w>
d w
sli ghtly</w>
car din
dead line</w>
bron ze</w>
web in
bar ry</w>
sil ence</w>
e uro</w>
op tion</w>
ear n</w>
ðŁĴ ĸ
howe ver</w>
na ren
na ils</w>
bath room</w>
v ine
ph d</w>
min ing</w>
gar age</w>
( )</w>
shou lder</w>
defe at</w>
di r</w>
o v</w>
liber ty</w>
ple as
x on</w>
com pre
a v</w>
j in</w>
ab les</w>
sil ent</w>
fam ili
vis its</w>
di pl
ha bit
milli ons</w>
regar ding</w>
innov ative</w>
sen ator</w>
r ts</w>
v on</w>
k l
wh il
requi red</w>
âĿ Ħ
lu v</w>
presi dential</w>
po cket</w>
hun dre
sho wn</w>
fro zen</w>
to ward</w>
fa st
confi dence</w>
r ough</w>
indivi dual</w>
qu et</w>
ðŁı ½
dom e
fi fa</w>
engine er</w>
z en
re mix</w>
ðŁĺ ĥ</w>
pl ant
min or</w>
robin son</w>
as y
pul led</w>
cer tain
potat o</w>
( :</w>
pre s</w>
oc ca
w it</w>
it em</w>
si e
d ating</w>
thom pson</w>
own ed</w>
an u
vi e</w>
te dly</w>
good night</w>
ex cept</w>
ðŁĮ Ł</w>
ira q</w>
ki e
ren ces</w>
li p</w>
simil ar</w>
sau di</w>
vi g
arth ur</w>
pic ks</w>
mil an</w>
hon da</w>
ma xi
o g</w>
ste st</w>
ar ch</w>
analy tics</w>
ba sti
pear l</w>
ter ry</w>
hor se
ast ro
ac ce
laun ching</w>
inter national
s no
ta sty</w>
den ver</w>
ir l</w>
pe te</w>
tor n
advant age</w>
var sity</w>
" "</w>
sol e</w>
g c
lan g</w>
demon str
ol ds</w>
un ity</w>
ne ts</w>
insp ire</w>
cre te</w>
nash ville</w>
nel son</w>
e ter
wal k
hy un</w>
m ack
tre as
see king</w>
ra ge</w>
bru sh</w>
ab and
whil st</w>
co con
h ong</w>
shel ter</w>
i p</w>
possi bly</w>
so o</w>
it ed
â Ħ
rac es</w>
war ming</w>
qu in
tele vision</w>
mat ches</w>
ra pi
ment al
pal m</w>
jenni fer</w>
rol ls</w>
indi ana</w>
b ars</w>
cat ching</w>
resc u
candid ates</w>
fa re
âł Ģ</w>
se o</w>
vie tnam</w>
alph a</w>
michel le</w>
visi ble</w>
re gre
wn ed</w>
app le
li p
f fe</w>
li z
york shire</w>
ha il</w>
se asons</w>
be gan</w>
m d
k c</w>
la p</w>
fascin ating</w>
hel p
ur y
u ms</w>
nu ts</w>
se m
along side</w>
bri dge
ori al</w>
o ve
world cup</w>
briti sh
comfor table</w>
i ve</w>
hot els</w>
fair s</w>
hor ri
so x</w>
d ining</w>
stre am
bar ri
ss y</w>
w im
ter ms</w>
v u
pe re
l ens</w>
wal ked</w>
r or
l ars</w>
shi eld</w>
dou bt</w>
pro to
cro ssing</w>
me ant</w>
medi um</w>
ad ding</w>
e b</w>
che ap</w>
fun c
pap er
bran ds</w>
ry an
feed back</w>
col lins</w>
un known</w>
tro pical</w>
sand wich</w>
fal len</w>
for mu
selec t</w>
lo ads</w>
answ ers</w>
or i</w>
mag a</w>
d or</w>
du o</w>
ali e</w>
dru m</w>
ur i</w>
de er</w>
sou l
sh ut
âĺ º</w>
sto len</w>
don ated</w>
bu zz</w>
patri ots</w>
ha l</w>
na sty</w>
nomin ated</w>
mon te
ki a</w>
th ri
ing u
te sts</w>
pe tro
ðŁij ij</w>
ho sts</w>
ne st</w>
to pic</w>
pat ch</w>
m my</w>
hu gh
ab ilities</w>
ma the
s miles</w>
g b
ag enda</w>
insi ghts</w>
chi p</w>
ph an
fail ure</w>
dg ers</w>
ha i
signific ant</w>
sho ck</w>
ru ral</w>
gl am
figu res</w>
pot us</w>
o ta</w>
mini stry</w>
appe ars</w>
fe ar
r h
americ an
h att
son y</w>
fi res</w>
e di
n ou
e qui
wh en
univers al</w>
mad ness</w>
i x</w>
sculp ture</w>
b ach</w>
t to
swe den</w>
et a</w>
en to</w>
develop ed</w>
month ly</w>
ma ps</w>
ra h</w>
le d
del ta</w>
sa ints</w>
is lam</w>
ben ch</w>
fif th</w>
v ard</w>
so cks</w>
wel coming</w>
j e</w>
tur ner</w>
v b</w>
ad i</w>
nor way</w>
ad y</w>
hurric ane</w>
por sche</w>
tra dition</w>
ex am</w>
newsp aper</w>
lu ci
a ver
ide al</w>
d na</w>
madi son</w>
ðŁ §
wit ness</w>
ac ou
insi ght</w>
si mon
robo t</w>
sna ke</w>
n bc</w>
ac o</w>
ro ss
sh ment</w>
religi on</w>
ch ann
in su
camp bell</w>
inst alled</w>
we ather
hor ses</w>
ol i</w>
rober t
k az
ðŁı Ģ</w>
veter an</w>
th read</w>
quar ter
ea sier</w>
cap ture</w>
hi pho
law rence</w>
roman tic</w>
pas sion
cl ay</w>
ox ford</w>
th ai</w>
stu dying</w>
fi a</w>
elec ted</w>
most ly</w>
c b</w>
tu mb
âĢįâĻ Ĥ
x l</w>
sh an</w>
fa ster</w>
ev ans</w>
sli de</w>
sh ri
see k</w>
mi es</w>
chemi stry</w>
pump kin</w>
tu m</w>
, ,</w>
ro om
fi red</w>
li ps</w>
pres ence</w>
af f
brew ery</w>
arri ve</w>
sw ag
photo graph</w>
pen gu
chi ps</w>
at tor
val ues</w>
accur ate</w>
con temporary</w>
princi pal</w>
cannab is</w>
ari o</w>
any where</w>
gi a</w>
democr ats</w>
buil dings</w>
li ved</w>
ap s</w>
neg ative</w>
m are</w>
bal lo
li on
diam on
loo k
re form</w>
tom my</w>
il la
tre ats</w>
hundre ds</w>
port land</w>
wor thy</w>
ex cep
ar ia</w>
ido l</w>
be er
cd n
y u</w>
aw k
ðŁĩ ¨
c ells</w>
à ³
ident ity</w>
dra wn</w>
de vil
f inger</w>
th am</w>
ðŁij Ĭ
ear ned</w>
fin tech</w>
dol ph
twee ting</w>
evolu tion</w>
ðŁĵ į</w>
est im
m vp</w>
n one</w>
ðŁĩºðŁĩ ¸
toyo ta</w>
au x</w>
mar in
b old</w>
l bs</w>
ste ak</w>
mur phy</w>
it able</w>
lou is
sol ve</w>
pi a</w>
sk ir
ill ino
webin ar</w>
ban ana</w>
lo v
th on</w>
vo ters</w>
afford able</w>
defe ated</w>
lm fa
air lines</w>
super b</w>
any way</w>
deb t</w>
bo red</w>
ver si
me tal
responsi ble</w>
m k</w>
s se</w>
f ay
cau sed</w>
f p</w>
recomm end</w>
pla za</w>
spor ting</w>
alli ance</w>
au stri
n n
t ours</w>
surpri sed</w>
arti f
th under</w>
sur ve
wor e</w>
bri ef</w>
necess ary</w>
z ie</w>
ash ley</w>
dra ke</w>
r t
kni fe</w>
im mun
char ges</w>
a the
bri de</w>
rep ly</w>
g av
broad cast</w>
pu er
brace let</w>
cap acity</w>
harve st</w>
id k</w>
perfor man
d ding</w>
il ers</w>
par a</w>
jam a
pro vince</w>
ch in</w>
id ers</w>
har i</w>
te aser</w>
ch en</w>
re stor
r at</w>
fl at
col om
ðŁĴ ŀ</w>
ðŁĩ¨ ðŁĩ
smoo th</w>
r t</w>
p itch
stay ing</w>
isra eli</w>
t cot</w>
per spective</w>
do ck</w>
open er</w>
lo vel
x o</w>
class room</w>
l ington</w>
go al
kenne dy</w>
sh am</w>
sp aces</w>
mitch ell</w>
home coming</w>
uk i</w>
claim ed</w>
recru it
ing o</w>
mu fc</w>
mon it
g roo
resi dent</w>
per cent</w>
per man
otta wa</w>
int ment</w>
an xi
stand ards</w>
wor ship</w>
sche me</w>
f x</w>
pot ter</w>
bi an</w>
athle tic</w>
af gh
s se
sat ell
par ties</w>
âĿ¤ âĿ¤
infra structure</w>
rela x</w>
mo du
wor n</w>
smo king</w>
y ach
practic es</w>
wc w</w>
am b
dome stic</w>
tay lor
k entu
provi ded</w>
mo di
ve g
" ...</w>
ob serv
ðŁĺ ©
be ard</w>
m our
an gry</w>
ðŁĺ ±</w>
startu ps</w>
woo den</w>
di ve</w>
na il</w>
anti que</w>
ro ses</w>
torn ado</w>
m at</w>
^ ^</w>
su spect</w>
far m
de vices</w>
me ga</w>
tu l
scholar ship</w>
ge e</w>
disa ster</w>
arri val</w>
po in
mar c</w>
kati e</w>
bb ed</w>
fal se</w>
deser ves</w>
ric hard
ju ana</w>
fre y</w>
tion ed</w>
hy bri
r w
sar ah
ach i</w>
c ure</w>
o le
mor ris</w>
ch ic</w>
broad way</w>
la bel</w>
pa k</w>
pover ty</w>
gol f
e red</w>
f u</w>
er ies</w>
be es</w>
alo gue</w>
st el
wire less</w>
je wish</w>
ti de</w>
blo cked</w>
life time</w>
b har
sp lit</w>
am ster
th i</w>
jo shu
br unch</w>
ha ps</w>
s for
oo ps</w>
ka poor</w>
hi king</w>
suppo sed</w>
ro of
re as
tra in
ti ght</w>
tru mp
bas ically</w>
r r</w>
ea red</w>
see ds</w>
entr ance</w>
c p</w>
wi e</w>
son ic</w>
vic tim</w>
he re
e h</w>
ear rings</w>
sal mon</w>
arc tic</w>
an ne
dou gla
corru ption</w>
hann ah</w>
ha sn</w>
vo ices</w>
con ce
att a</w>
fle et</w>
clin ical</w>
democr atic</w>
ton y
st ood</w>
le f
twit ch</w>
a il</w>
honest ly</w>
incre ased</w>
dro me</w>
don na</w>
accep ted</w>
visit ors</w>
ap ar
ad or</w>
p ar</w>
jer ry</w>
ra i
brand on</w>
ab u
!! !!!!</w>
me me</w>
in gh
glori ous</w>
b hu
pu mp</w>
j ol
li ke
fi sher</w>
ma z
ag an</w>
destin ation</w>
play list</w>
le tters</w>
gen u
br ace</w>
celebr ated</w>
bann er</w>
r he
dra gon
ðŁĺ ħ</w>
sig nature</w>
gre y
âľ Ķï¸ı</w>
al ice</w>
be red</w>
ph er
ber n
ca th
ga thering</w>
sc oring</w>
influ ence</w>
sm iling</w>
de pt</w>
lo cal
a x</w>
ac u
reti rement</w>
hon or
her self</w>
chem ical</w>
asse ss
y all</w>
fre qu
appreci ation</w>
ac a</w>
cho ir</w>
cu z</w>
so il</w>
c il
repor ting</w>
u h</w>
enterpri se</w>
gr at
jaco b</w>
ru m
fe e</w>
j ak
sp in</w>
bi kes</w>
phi a</w>
ste re
p is
bloo d
t att
ra ft</w>
war ren</w>
sh eri
back stage</w>
mar sh
hash tag</w>
ther ine</w>
re in
game day</w>
guar an
reci pes</w>
min ds</w>
stron ger</w>
issu ed</w>
bic y
n ak
ment ed</w>
sc ary</w>
u x
pre vious</w>
tt le</w>
th ats</w>
ac tors</w>
u ma</w>
tin a</w>
bun ny</w>
promo tion</w>
u ss</w>
oli ver</w>
montre al</w>
what s
appreci ated</w>
la kes</w>
excu se</w>
kno wing</w>
pri zes</w>
musc le</w>
shad es</w>
sco t</w>
ing redi
electr onic</w>
ju an</w>
comb at</w>
s ri</w>
e h
turk ish</w>
l om
stri kes</w>
pri son
re e
po pe</w>
vi d</w>
ol dest</w>
dol l</w>
sw iss</w>
certi fied</w>
cli p</w>
re turning</w>
lat or</w>
le igh</w>
tt es</w>
wat son</w>
heal ing</w>
el im
per haps</w>
ha ss
k au
d der</w>
mou se</w>
new castle</w>
indigen ous</w>
wel comes</w>
co le
tau ght</w>
no ise</w>
appe ar</w>
jo e
can on</w>
wedne sday
u tah</w>
c tive</w>
dri ven</w>
i v</w>
c ell
stri p</w>
ac c</w>
focu sed</w>
ar rest</w>
sto cks</w>
wo o</w>
â Ĺ
notic ed</w>
shad o
di spla
ter ror</w>
bor ne</w>
secon d
que ens</w>
wo ke</w>
ja il</w>
no tt
cam bridge</w>
har t
se af
fa x</w>
ac cept</w>
âĺ ħ
goo ds</w>
k at</w>
t win
h s
thou sand</w>
s ins</w>
su ite</w>
amp ton</w>
ar n
rele v
ric har
hoo ps</w>
n bc
class ic
p ab
soldi er</w>
de plo
le ans</w>
install ation</w>
cla sh</w>
le ban
ee e</w>
ti re</w>
belo ved</w>
fu sion</w>
travel ing</w>
ne i
coo kie</w>
glo be</w>
phys ics</w>
s q
co l</w>
wol ves</w>
d l</w>
ex it</w>
" -</w>
foo tball
le af
ster ling</w>
hi de</w>
minne so
fresh man</w>
natu re
indi e</w>
supp lies</w>
bri s
iri sh
ink tober</w>
doo dle</w>
ic op
mess ages</w>
adul ts</w>
recor ded</w>
fix ed</w>
ar do</w>
offe red</w>
under ground</w>
dr one</w>
p ine
ma inten
and re</w>
ham mer</w>
s x
r ound
hi ke</w>
bra d</w>
ro me
fu ll
on ey</w>
ro ws</w>
colum bia</w>
archi ves</w>
appro ved</w>
bat ch</w>
illino is</w>
recogn ition</w>
shou ldn</w>
fo g</w>
nca a</w>
ke vin
human ity</w>
al though</w>
pow ers</w>
p ou
s ar</w>
pe st</w>
alco hol</w>
con sci
phil adel
en o
t m
ok la
cate gory</w>
particip ate</w>
accu sed</w>
bri ef
po em</w>
clu bs</w>
consul t
ja b</w>
big data</w>
amster dam</w>
ac ing</w>
certi fic
n u</w>
d at</w>
impro ved</w>
and y
campa ig
pale stin
p ace</w>
mo bi
feel ings</w>
wol f
bra in
pro pos
inter active</w>
prin ce
inde x</w>
c is
cha e
peace ful</w>
co vering</w>
ac o
cour ses</w>
mon key</w>
re place</w>
b l</w>
bloo dy</w>
tal es</w>
brigh ton</w>
neighbor hood</w>
g ates</w>
spiritu al</w>
af raid</w>
bre ast</w>
b ones</w>
ðŁij ī
vide o
w au
tou ch
inju ries</w>
car l</w>
ri x</w>
une x
âĢ ¢
fre d
consi dered</w>
thu si
an ch
on y
u sa
graph ics</w>
ac re</w>
ðŁĺ ©</w>
com memor
com mod
go ti
guar dian</w>
star bucks</w>
pre vention</w>
haha haha</w>
admini stration</w>
portu gal</w>
fac ulty</w>
bet a</w>
ul a</w>
al bert</w>
bre ath
er i</w>
le tting</w>
tr ic
ment ation</w>
incredi bly</w>
ten nes
v d</w>
ðŁĻ Ī</w>
ed die</w>
br ick</w>
gr ill</w>
bt w</w>
wat ches</w>
resear chers</w>
t ney</w>
ni e
p as</w>
a ster</w>
vi br
poke mon</w>
ch rome</w>
go at</w>
pitt s
il ly</w>
festi ve</w>
y d</w>
can al</w>
ðŁ Ĩ
fi es</w>
car los</w>
re que
partic i
tra ins</w>
sam ple</w>
temper ature</w>
sym ph
pic king</w>
in door</w>
z ers</w>
playo ffs</w>
____ ____
ap es</w>
ly rics</w>
islam ic</w>
performan ces</w>
d ick</w>
spar k
se as</w>
hom a</w>
gr ound
disc i
employe e</w>
com mu
alas ka</w>
al an
fe ast</w>
dg ing</w>
ban king</w>
manu el</w>
slow ly</w>
tru cks</w>
mc car
oo o</w>
sc rat
orche stra</w>
indivi du
m x</w>
bre ath</w>
stair s</w>
equ ality</w>
bla ke</w>
loc ations</w>
cocon ut</w>
balti more</w>
aa a</w>
l c
ðŁı Ĩ
har vey</w>
resi st</w>
immigr ation</w>
adid as</w>
fil i
re f</w>
lg bt</w>
mo s</w>
pp i</w>
ken ny</w>
terr or
ban e</w>
apol is</w>
s g
social media</w>
ka i</w>
hon est</w>
as sas
bol lywood</w>
âĢįâĻ Ģï¸ı</w>
ferr ari</w>
hor n</w>
cryp to</w>
bo om
mainten ance</w>
i di
s man</w>
w l</w>
ext ended</w>
in sul
ve s
go sp
tr i</w>
pi g</w>
tar ge
cel er
st ati
sm h</w>
ri dic
appe al</w>
? )</w>
con clu
cos me
she ep</w>
christop her</w>
en thusi
po lish</w>
me ts</w>
oun ded</w>
sustain ability</w>
creati vity</w>
con crete</w>
ra i</w>
ali en</w>
ble ss
te es</w>
clu b
ro t</w>
bo s</w>
ex ist</w>
perfe ction</w>
lu ck
rock y</w>
expen sive</w>
mean while</w>
happy birthday
pre t
thr iller</w>
ca ve</w>
playo ff</w>
som er
l u</w>
le x</w>
def ence</w>
am writing</w>
home less</w>
pro phe
ch et</w>
past or</w>
ðŁ¤ £
land er</w>
ww w</w>
Ģ ï¸ı
tic a</w>
! #</w>
o tic</w>
rad ar</w>
po sters</w>
pow der</w>
po li
ha un
tra p</w>
bl in
assau lt</w>
shor ts</w>
re y
sh y</w>
squ ir
rac ist</w>
gar lic</w>
fu r</w>
remo te</w>
sm ell</w>
impre ssed</w>
fing ers</w>
âł Ģ
din o
le ment</w>
s nu
promo ting</w>
str ing</w>
produc tive</w>
b age</w>
ma son</w>
ra z
direc tly</w>
j k</w>
ev al</w>
ðŁij Ĭ</w>
doc tors</w>
co w</w>
ri der</w>
st v</w>
re move</w>
w u
na than</w>
ro d
n r</w>
= ></w>
affe cted</w>
inve st</w>
mp tion</w>
g inger</w>
o d</w>
agricul ture</w>
s que
mu g</w>
coun ting</w>
ke e
mag nific
coo k
ani stan</w>
roo t</w>
plac ed</w>
sym po
gh ana</w>
un d</w>
che er
thro wing</w>
secre ts</w>
f illing</w>
opti mi
butter fly</w>
bu bb
ðŁĺ ī
terri ble</w>
d g</w>
sil k</w>
obse ssed</w>
lo u</w>
ai de</w>
sal ute</w>
mon u
philadel phia</w>
scienti fic</w>
i st
u ae</w>
dess ert</w>
bott les</w>
can yon</w>
ðŁĺ Ī</w>
car ib
o ther
w ich
re source</w>
guil ty</w>
un d
le on</w>
e ss</w>
kan e</w>
el e</w>
tra iner</w>
he im</w>
an te</w>
man age</w>
roo kie</w>
tre ated</w>
po ses</w>
rs vp</w>
cau ses</w>
aw ak
je well
le tt</w>
on ics</w>
tit les</w>
cardi ff</w>
g aga</w>
bu mp
use ful</w>
? !
loo se</w>
bb ing</w>
: :</w>
argent ina</w>
de bu
cy cl
wh el
dis gu
j el
k ills</w>
bio logy</w>
ex ter
tra sh</w>
bo dies</w>
tr am
circu it</w>
expe ct
la ds</w>
w ells</w>
sho t
ge e
naren dr
fa stest</w>
b ent
b ills</w>
mar shall</w>
h ats</w>
intro duce</w>
citi zen</w>
im possible</w>
gi b
az z
net working</w>
r ant</w>
thin k
in dy
st ops</w>
f theday</w>
bri an
* *
amo di</w>
dom e</w>
coura ge</w>
pac king</w>
af fairs</w>
g n</w>
si zed</w>
ent ary</w>
pol and</w>
swit zer
afgh anistan</w>
w u</w>
ten der</w>
subscri be</w>
mo sco
att end
republic an</w>
hon ey
âĢ ĭ</w>
si mul
we ster
foo die</w>
or o
midd le
ab t</w>
co pies</w>
ma je
narendr amodi</w>
ty pical</w>
inspir ational</w>
vit am
wis con
cu bs</w>
tiv ity</w>
h ali
e ars</w>
k ay</w>
d are</w>
mari juana</w>
cu rious</w>
an ia</w>
tom ato</w>
re mind</w>
ðŁĩ ·</w>
sc ared</w>
cou p
po et</w>
land ed</w>
ri d</w>
wra pped</w>
mor ri
climb ing</w>
e ws</w>
fe eding</w>
con tra
tho logy</w>
gri d</w>
ti vely</w>
read er</w>
la ser</w>
di ving</w>
di g</w>
lat in</w>
ti ed</w>
shake spe
o ci
ad m
show ers</w>
chu ck</w>
mar cus</w>
oo s</w>
kne e</w>
o live</w>
ow l</w>
dy lan</w>
an no
g ym
deci sions</w>
well ness</w>
arri ves</w>
sati s
chri s
thur s</w>
ðŁ¤ £</w>
inter views</w>
thank you</w>
switzer land</w>
over night</w>
journ alist</w>
ser ves</w>
vol can
.... ...</w>
plo t</w>
nic ol
car rying</w>
mag ne
tre asure</w>
ex p
be ver
ðŁĺ ¢</w>
mar ty
mo le
don ations</w>
recogni zed</w>
b h
du s</w>
sh ann
al do</w>
success fully</w>
ent e</w>
ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ
cab inet</w>
cu is
tit led</w>
d as
so l</w>
strate gies</w>
deli vering</w>
ad ds</w>
ani an</w>
ne ther
ðŁĴ ĥ
con tain
su its</w>
pa irs</w>
to dd</w>
rel la</w>
ro pe</w>
ci o</w>
cro p</w>
paint ings</w>
su z
re jec
bu st</w>
d h</w>
fra ud</w>
m h
contro l
je al
destroy ed</w>
al lows</w>
wo ol
minneso ta</w>
om en
j u</w>
sympo sium</w>
d af
lim it</w>
accoun ts</w>
load ing</w>
inter n
re solution</w>
hol land</w>
qu al
meet ings</w>
gra ve</w>
cam ping</w>
v am
re nov
liber al</w>
am ber</w>
gre e
hu mb
fe ver</w>
el ing</w>
broo ks</w>
à ²
be th
ad ed</w>
al t
ro e</w>
perform ed</w>
jo sh
frank lin</w>
nic ole</w>
de ss</w>
bb s</w>
m g
net works</w>
min im
al t</w>
weap ons</w>
gu y
jas on
g ha
harb our</w>
at on</w>
pra ise</w>
kentu cky</w>
bel fast</w>
st icks</w>
blo ss
ho pes</w>
an thro
famili ar</w>
wa it
ch ile</w>
depre ssion</w>
la x</w>
je ts</w>
le ice
recei ves</w>
si er
an k</w>
de x
inde ed</w>
fle xi
fab ric</w>
lam b</w>
hel icop
am anda</w>
âĢĶ âĢĶ
compe te</w>
sn ack</w>
techno logies</w>
sy rian</w>
mom s</w>
mu ham
cho sen</w>
an at
dev on</w>
shar ks</w>
re t</w>
fundra iser</w>
selfi es</w>
st ations</w>
communic ations</w>
tennes see</w>
tu tor
ro t
valu able</w>
dynam ic</w>
nur se</w>
i ed</w>
earth quake</w>
deser ved</w>
a ve
sar a</w>
stre tch</w>
dougla s</w>
ne pal</w>
à §
ob viously</w>
d ame</w>
ra pe</w>
any body</w>
k w
pat rol</w>
hol ders</w>
h anna</w>
info graphic</w>
ec o</w>
be ating</w>
stan ley</w>
bo ats</w>
ri bb
e z
wit ch</w>
inv a
ac id</w>
boar ding</w>
- @</w>
gi l</w>
da ve
care ers</w>
opp os
l loy
in ter</w>
do pe</w>
re su
j agu
sh ade</w>
in dy</w>
on ist</w>
rel ations</w>
ag en
ab le
inci dent</w>
me ter</w>
shar ma</w>
id r</w>
pro ve</w>
immedi ately</w>
tro ops</w>
am an</w>
g low</w>
gaz a</w>
blo cks</w>
person al
chron ic
all er
si d
sh r
whats app</w>
lu cy</w>
ar chae
ho u</w>
journ alism</w>
our selves</w>
go t
the med</w>
shap ed</w>
we ak</w>
cas ual</w>
leng th</w>
sla m</w>
ab bey</w>
e v</w>
coun ter
est a</w>
reci pi
cha pel</w>
expan sion</w>
sel f
suff ering</w>
sp ice</w>
n z
sp art
desp er
boo king</w>
quart ers</w>
y on
ðŁĴ Ĺ
p k
continu ed</w>
- #</w>
man hatt
tal ked</w>
sh en
com bo</w>
hybri d</w>
je ans</w>
liqu id</w>
se al</w>
re tweets</w>
ac celer
collec tive</w>
t as</w>
: ))</w>
profession als</w>
ra w
o tt
su san</w>
ir ing</w>
okla homa</w>
re ven
survi val</w>
cre ator</w>
tran sit</w>
st ac
sur f
i k</w>
ed iting</w>
ch illing</w>
bai ley</w>
ste al</w>
ra ble</w>
pa rent</w>
hun ger</w>
sn app
collec t</w>
philos oph
dedic ation</w>
c f
c m
le ep</w>
repe at</w>
re ha
un fortun
a er
a ero
abstr act</w>
mon itor</w>
ag ents</w>
bu l</w>
sci ence
harb or</w>
drag ons</w>
floo ding</w>
ac compli
d ash</w>
juli a</w>
the red</w>
tues day
cy ber</w>
b low</w>
ta ined</w>
le m
refe rence</w>
pp o</w>
ne goti
char le
con nor</w>
au lt</w>
access ories</w>
commissi oner</w>
rain y</w>
re ar</w>
advis ory</w>
luc as</w>
ma id</w>
co al
k av
pol o</w>
ðŁı ¾
tran sport
mar gare
straw berry</w>
bur ns</w>
gre ens</w>
ne v
partici pants</w>
col in</w>
belgi um</w>
col our
in form
d ell</w>
br on</w>
cal y
kick off</w>
strate gic</w>
re union</w>
hon ors</w>
li b
egy p
âŃIJ ï¸ı</w>
hy po
si zes</w>
regi stered</w>
bet es</w>
relax ing</w>
bloo m</w>
inten se</w>
valent ines</w>
insan e</w>
w wii</w>
p x</w>
tri o</w>
bla de</w>
wiscon sin</w>
con e</w>
plat in
ali ze</w>
ra ven
incre asing</w>
indi ans</w>
il ian</w>
bl u</w>
rabb it</w>
exten sion</w>
je f
au di</w>
fer ry</w>
s ell
a day</w>
us b</w>
swe at
cham pag
metho d</w>
mem ph
assi st</w>
s by</w>
ca pe
remo ved</w>
mag n
v t</w>
r ams</w>
f bi</w>
tack le</w>
phe w</w>
h on</w>
motor cycle</w>
su spec
eleph ant</w>
sub ject</w>
let te</w>
da iry</w>
whe at</w>
awk ward</w>
ac t
tro l
mit ted</w>
zay n</w>
sheri ff</w>
ene my</w>
con s</w>
ke tt</w>
bul ls</w>
ev alu
bt c</w>
satell ite</w>
ho lo
por ter</w>
dia betes</w>
bet ter
rele asing</w>
sur f</w>
: -</w>
se basti
collec ting</w>
en cing</w>
e thi
go ds</w>
al ley</w>
health y
m ills</w>
sma sh</w>
co pper</w>
cr ack</w>
read ers</w>
sp ac
licen se</w>
bas ket</w>
bang la
en tic</w>
om i</w>
m ere</w>
si vely</w>
anim ation</w>
lan es</w>
dent ally</w>
chill in</w>
fi e</w>
k aren</w>
dep th</w>
li pse</w>
n g
ri p
mel o
sand y</w>
ðŁijı ðŁijı
vin cent</w>
nu t
hu g</w>
who le
cre ates</w>
? ???</w>
âĿ¤ï¸ı âĿ¤ï¸ı</w>
bak ed</w>
up grade</w>
rober ts</w>
har a</w>
carib bean</w>
auth entic</w>
mb s</w>
mosco w</w>
attor ney</w>
wi ki
ch lo
hu ll</w>
cor k</w>
" !</w>
sty lish</w>
ðŁĵ¸ :</w>
di ary</w>
impro ving</w>
ex pand
bri ght
pollu tion</w>
k nights</w>
person ality</w>
chec ked</w>
fac ilities</w>
z el
bow ling</w>
gu er
ðŁİ Ĥ</w>
on going</w>
un its</w>
hoo k</w>
be ck</w>
confl ict</w>
to dd
far ming</w>
educ ational</w>
k ak
cla y
stro ke</w>
bel ly</w>
explo re
mill enni
th m</w>
loo p</w>
sm s</w>
consi st
cir ca</w>
br yan</w>
d ab
youn ger</w>
soli dar
pp a</w>
experi enced</w>
b ella</w>
bo ard
shef field</w>
steph en
consu mer</w>
sub mit</w>
spon sor
t ang
ag gre
comb ined</w>
trac king</w>
sand ers</w>
b az
survi ve</w>
fer red</w>
equ al</w>
se p</w>
re ed</w>
str ong
priv acy</w>
st ap
un g
ac ry
pa sta</w>
pir ates</w>
ag er</w>
fair y</w>
du p</w>
introduc ed</w>
wi p</w>
let s
spr ay</w>
ðŁĵ º</w>
gre w</w>
a sts</w>
pitts burgh</w>
new york</w>
jo ey</w>
lau ren
tra de
ch op
pi pe</w>
cla ire</w>
behavi or</w>
v ap
cre ws</w>
lap top</w>
ðŁ¤ Ĺ</w>
che ster
disci pl
d f</w>
out doors</w>
k s
go ver
super star</w>
cas ino</w>
far mer</w>
; -)</w>
re turned</w>
ðŁı Ī</w>
ma il
roa sted</w>
co sta</w>
v ill
pe z</w>
gard ening</w>
distribu tion</w>
sh ining</w>
inve stors</w>
ra sp
dec ades</w>
reali zed</w>
bar n
p ti</w>
st able</w>
ut d</w>
pan thers</w>
m ens</w>
b n
ca de
bu cket</w>
yn n</w>
when ever</w>
wa ke
da is
ber nie</w>
lo dge</w>
ju lie</w>
atmo sphere</w>
ðŁĺĺ ðŁĺĺ</w>
major ity</w>
par ti
exc it
cu t
me h
musli ms</w>
be gun</w>
fli ghts</w>
vene ss</w>
ce me
po sing</w>
so le
g ou
dark ness</w>
pe ach
cel tic</w>
auth ority</w>
grand ma</w>
ful ness</w>
smi th
speci fic</w>
gar cia</w>
co ins</w>
good ness</w>
aldu b
recru iting</w>
den nis</w>
gar y
sle eve</w>
weap on</w>
pl z</w>
disco ver
harri son</w>
recruit ment</w>
ja i
ch im
com pared</w>
tom s</w>
mo thers</w>
am y
archi ve</w>
t ask</w>
ben jam
se g
law yer</w>
al um</w>
inve sting</w>
mi e</w>
che z</w>
j p</w>
a ke
fl am
wall paper</w>
âĻ¥ ï¸ı</w>
t ton</w>
che st</w>
favor ites</w>
we igh
coo lest</w>
r ating</w>
relev ant</w>
lo gan</w>
ma ple</w>
run ners</w>
pri or</w>
peop le
ma ur
terrori st</w>
te sted</w>
carni val</w>
su spen
me asure</w>
m v
cyber security</w>
app ren
terror ism</w>
o z
v ital</w>
ni es</w>
gon z
fun ded</w>
twi st</w>
assess ment</w>
die sel</w>
en for
colum n</w>
ad dressing</w>
ca sts</w>
pay ment</w>
x ton</w>
fi er</w>
, '</w>
la st
ne e</w>
un less</w>
clo se
sk ill</w>
cuis ine</w>
fun eral</w>
ti les</w>
a un
k ru
relation ships</w>
ðŁĴ ¯
ev ent
âĢįâĻĤ ï¸ı</w>
kind ness</w>
pro posed</w>
acou stic</w>
a es
defen der</w>
dan ce
h tt
w at</w>
vo y
ðŁ¤ ĺ
au s
cli ff</w>
sear ching</w>
beauti fully</w>
in qu
at l</w>
speci alist</w>
ðŁIJ ¶</w>
da i</w>
tra ils</w>
class ics</w>
inst ant</w>
v ous</w>
re venue</w>
mar ch
kir k
fr inge</w>
fire works</w>
tri via</w>
âĺ ħ</w>
tr action</w>
wal ter</w>
mo to
l ily</w>
att itude</w>
cli mb</w>
sc an
sav ings</w>
c w
fa ith
cred its</w>
ab led</w>
gra ff
auto graph
he he</w>
ran ch</w>
ha d
ro gers</w>
ðŁĮ ¹</w>
f in</w>
re qu
fol k
ad ditional</w>
lyn n</w>
u ber</w>
dol lars</w>
lo gic</w>
wor th
so m</w>
the sis</w>
p ound</w>
bi c</w>
st ur
cer am
spen cer</w>
en tered</w>
v amp
organi zed</w>
âľ Ī
pp s</w>
tr on</w>
merce des</w>
no ti
compet itive</w>
do w</w>
ous ness</w>
vic tor</w>
gr illed</w>
na i</w>
pu tin</w>
ab ra
bl ame</w>
alex and
anim al
dec ent</w>
p ent
inter ior
:' )</w>
but ler</w>
bal let</w>
ðŁĴ Ķ</w>
albu ms</w>
down s</w>
la d</w>
si r
pla in</w>
p ers</w>
blon de</w>
dis c</w>
paki stan
se ment</w>
ga a</w>
w age</w>
ch as
man i</w>
co ps</w>
terr it
lo l
lau ghter</w>
ri vers</w>
magnific ent</w>
lam p</w>
w b
new sle
char ts</w>
ble ssing</w>
p unch</w>
lon gest</w>
fl oral</w>
cu tie</w>
fare well</w>
sto pping</w>
mb b</w>
bu d</w>
chee se
de cla
si m</w>
mc donald</w>
de ter
you th
t ch
fre der
kin dle</w>
fer n
at or
as leep</w>
p ond</w>
spr int</w>
p ounds</w>
la zy</w>
gh e
fundra ising</w>
dead ly</w>
gran de</w>
dou g</w>
he y
lin da</w>
consi dering</w>
i um</w>
gol den
vi k
auth ors</w>
di ss
u ally</w>
appropri ate</w>
mor ning
y le</w>
hon oring</w>
foli o</w>
be c</w>
re bec
fin land</w>
formu la</w>
corn wall</w>
sh ay
cau sing</w>
bl end</w>
sig nal</w>
t ent</w>
kash mir</w>
nation als</w>
har mony</w>
sc out</w>
acce ssi
he ight</w>
medi eval</w>
impro vement</w>
ke es</w>
prac tical</w>
car d
de par
hu n</w>
om ing</w>
cal gary</w>
ste l</w>
bu bble</w>
gur u</w>
ma h</w>
unex pe
n h</w>
ed a</w>
me at
i ge</w>
si o</w>
god dess</w>
in ches</w>
tun es</w>
br itt
sti on</w>
ra j</w>
âĻ «</w>
mer cy</w>
ðŁĴ ĺ</w>
sen ds</w>
i est</w>
pol ici
val e</w>
reduc ed</w>
as ap</w>
vi jay</w>
defen sive</w>
celebr ations</w>
ri ders</w>
med itation</w>
har mon
g ing
 ¡</w>
program ming</w>
in au
sud den
m h</w>
replac ement</w>
sk u
j ar</w>
gra des</w>
ta st
k itt
brand ing</w>
k aw
boo t
f ought</w>
p ays</w>
g f</w>
iz ation</w>
ho p
k k</w>
activi st</w>
v end
coast al</w>
cha os</w>
ðŁĶ ´</w>
se me
bill board</w>
li fting</w>
cu mb
sc al
ðŁĸ ¤</w>
stru ck</w>
l v
indie dev</w>
beat en</w>
jun gle</w>
al right</w>
destin y</w>
m ing
k c
ch ances</w>
om an</w>
q atar</w>
cra f
tra ined</w>
pri x</w>
char m</w>
o tive</w>
s mu
e c</w>
and ers</w>
hand ed</w>
al ban
certain ly</w>
arri ving</w>
i ze</w>
sa i</w>
tr ack
pain ter</w>
hu mble</w>
appo intment</w>
head line</w>
manag ing</w>
mo d</w>
as pe
andre a</w>
à ¤
ethi op
un ited
exi st
bal i</w>
k ad
n t
d red</w>
re x</w>
recogni ze</w>
tam pa</w>
be ers</w>
ati a</w>
he els</w>
no te
transport ation</w>
tur tle</w>
re de
hipho p</w>
sp icy</w>
sp urs</w>
⬠ĩ
cor p</w>
ther n
to ast</w>
hur ry</w>
proper ties</w>
ma ge</w>
mar co</w>
ele ments</w>
bou ti
syn drome</w>
ms g</w>
develop er</w>
gra ders</w>
he im
re sil
off ices</w>
del ay</w>
di men
vin tag
barbar a</w>
ðŁĺ ±
vene zu
cu lar</w>
fac ed</w>
bar n</w>
ðŁĺ Ĩ</w>
survi vor</w>
wor m</w>
confu sed</w>
passion ate</w>
Ø ±
identi fy</w>
electr icity</w>
sou ls</w>
brad ley</w>
repor tedly</w>
lun ch
shel f</w>
eli a</w>
swee t
smoo th
emplo yment</w>
am el</w>
manhatt an</w>
ste am
oun ts</w>
ye p</w>
li ving
un e</w>
descri be</w>
ca res</w>
man ila</w>
sha wn</w>
ac ted</w>
bas h</w>
st even
re st
pet ition</w>
div ine</w>
wel sh</w>
rac e
platin um</w>
ðŁĮ ¸</w>
p b</w>
extra ordinary</w>
solidar ity</w>
m all
on ion</w>
schedu led</w>
game of
fer gu
de ms</w>
nor m
p k</w>
tri als</w>
polici es</w>
publi shing</w>
st ole</w>
fron t
charac ter
van ia</w>
ex ce
sti e</w>
sc a</w>
resi dential</w>
sa iling</w>
ðŁĶ¥ðŁĶ¥ ðŁĶ¥</w>
spons ors</w>
th ick</w>
champag ne</w>
she pher
continu ing</w>
ven ice</w>
per th</w>
na p</w>
a ster
y ak
un limited</w>
cho ices</w>
ne o</w>
hi v</w>
repor ter</w>
bru ssels</w>
f old</w>
dy s
se mi
la wn</w>
it alia</w>
wi fi</w>
as k
em ed</w>
fr ame
monit oring</w>
ste ad</w>
i da
gr in
is a
fli p</w>
re stric
offen sive</w>
atta ched</w>
di sh
wh y
philli ps</w>
gre et
p als</w>
mix tape</w>
v ou
fiel der</w>
spar k</w>
alber ta</w>
g len</w>
ca sh
s ri
u ri
ro dri
entreprene urs</w>
climate change</w>
p sy</w>
d le
em ents</w>
lin ked</w>
nether lands</w>
acci dentally</w>
oppos ition</w>
vel vet</w>
ra ys</w>
c w</w>
om o</w>
m f</w>
lmfa o</w>
newsle tter</w>
: )
toi let</w>
liter ature</w>
di sp
phili p</w>
uni form</w>
sudden ly</w>
head er</w>
cool er</w>
-- -</w>
prou d
bri g
nis san</w>
scienti st</w>
j ah</w>
con centr
pac ks</w>
appo inted</w>
so ap</w>
eng age</w>
cho se</w>
âĻ ¡
se tup</w>
jeal ous</w>
har ry
g ation</w>
tun nel</w>
te mp</w>
osc ars</w>
dec ade</w>
recomm ended</w>
child ren
ab a</w>
anxi ety</w>
ve ments</w>
sal on</w>
pho too
organi z
mach ines</w>
ab s</w>
vil le
hy pe</w>
ti ff
emer ging</w>
av geek</w>
[ #</w>
contribu tion</w>
bra dy</w>
re sto
g mail</w>
fit z
photo shoot</w>
hel met</w>
h t
eleg ant</w>
ug anda</w>
nur sing</w>
or leans</w>
pen n</w>
na h</w>
foo tage</w>
em a</w>
w o</w>
w ad
concer ns</w>
ve re
re mark
who ever</w>
str ang
p t
qu it</w>
sh ang
histor y
s ick
perman ent</w>
ill ness</w>
col d
visi on
he m</w>
ar row</w>
con vic
pin k
oc cup
bal d
ex hau
u of
am o</w>
on t</w>
ãĥ »</w>
adop t</w>
la id</w>
smo ked</w>
inter pre
ess enti
associ ated</w>
b d</w>
bb y
fi er
inst all</w>
dipl om
con diti
c f</w>
w ak
any a</w>
gr aci
fi sher
s ss</w>
ap r</w>
il it
mus ician</w>
symph ony</w>
cor d</w>
h ack</w>
le gi
l v</w>
bless ings</w>
hum or</w>
sc ra
e ti
min ster</w>
trav elling</w>
bu sh
jewell ery</w>
li me</w>
!! !
pregn ant</w>
pe e</w>
lo b
cap ital
ip a</w>
pen cil</w>
la bor
duc ks</w>
prou dly</w>
wedd ing
dere k</w>
m w</w>
pe g</w>
valent ine
an gu
re treat</w>
pro spect</w>
dang er</w>
vul ner
up set</w>
, #</w>
sr k</w>
x im
thur sday
n fl
kis ses</w>
re ds</w>
cr ack
re ward</w>
c u</w>
ko k</w>
me te
aband oned</w>
it t</w>
me als</w>
sp ell</w>
stan bul</w>
del ays</w>
ru m</w>
le op
gu m</w>
no va</w>
super man</w>
ch ick</w>
m is</w>
dram atic</w>
inno cent</w>
r ounds</w>
re c</w>
auti sm</w>
bangla desh</w>
mor al</w>
mo vie
sp oo
k la
âĥ £
ou ting</w>
mess i</w>
ab road</w>
loo kin</w>
a im</w>
q i</w>
st ack</w>
colla ge</w>
à ¯
hud son</w>
sc an</w>
ho e</w>
ch au
oc cur
comm ander</w>
ho les</w>
ðŁİ Ħ</w>
bi as</w>
v on
stick er</w>
ma k
responsi bility</w>
colum bus</w>
sa int
ed mon
rac ism</w>
far ms</w>
w en</w>
gul f</w>
may o</w>
!!!! !!!!
corpor ation</w>
ba chel
el a
inter nal</w>
je ep</w>
fol lows</w>
di alogue</w>
de rer</w>
smart phone</w>
he len</w>
rich mond</w>
equ ity</w>
s land</w>
b g</w>
ne ar
av i</w>
memph is</w>
we ir
discu ssed</w>
bad ge</w>
p up</w>
mi stake</w>
phen omen
un ite</w>
ðŁ Ľ
de pic
ri des</w>
in augu
n at</w>
sof twitter</w>
comb ination</w>
gosp el</w>
âļ ¾
ad mission</w>
retro gaming</w>
ðŁIJ ¾</w>
sch u
mb o</w>
jun ction</w>
al arm</w>
à ¦
gr ac
kh ali
k ul
m ale
cap tion</w>
wi sh
te re
cor ps</w>
ru bber</w>
play station</w>
er in</w>
effici ent</w>
l or</w>
jo kes</w>
in ary</w>
nor man</w>
lu is</w>
inaugu ral</w>
ch ed
âļ½ ï¸ı
di p</w>
to e</w>
str at
aa c</w>
am u
pi er</w>
co tt</w>
comm and</w>
tt en
sn oo
cu be</w>
clo ses</w>
class ical</w>
s word</w>
expre ssion</w>
reach ing</w>
n app
co st
affe ct</w>
ric o</w>
gi f
brea the</w>
tri be</w>
or tho
h ay</w>
l g</w>
fri es</w>
n m</w>
hi ding</w>
richar ds</w>
en de
mic ro</w>
capit ol</w>
cop y
ro m
regi me</w>
mary land</w>
tax i</w>
di al</w>
embar ra
un believ
ch t</w>
v s
elim in
o dd</w>
pen ny</w>
sound track</w>
l ings</w>
trans ition</w>
rema ining</w>
a is</w>
mali k</w>
? !?</w>
rand om
def end</w>
ul tra
tru m</w>
danc er</w>
st ol
dri ve
a ver</w>
ro ast</w>
defin ition</w>
se an
excit ement</w>
partic ul
su rely</w>
sh av
ber y</w>
di shes</w>
com m</w>
is ol
i am</w>
ob li
gho st
hugh es</w>
chi efs</w>
b as</w>
conserv ative</w>
speci al
fe min
sh ri</w>
n ancy</w>
inte l</w>
tu ne
ðŁĩ ª
jo el</w>
gg le</w>
mo to</w>
ðŁĺ Ķ</w>
bu ck</w>
d ag
antic ip
mont ana</w>
gu id
fro g</w>
ec raft</w>
op e</w>
dri ves</w>
nu mer
x y</w>
color ful</w>
wednesday wisdom</w>
illu min
bey on
inau gur
deep ly</w>
pre fer</w>
for tune</w>
coo ked</w>
ti ble</w>
âĺ ķ
swe ater</w>
it ter</w>
tt y
u i</w>
gi e
com plic
~ ~
tax es</w>
cu ps</w>
di verse</w>
sam anth
âłĢ âłĢ
ba king</w>
sy mp
wa i
be half</w>
mer cur
travel s</w>
ðŁİī ðŁİ
or ia</w>
eng aged</w>
jump ing</w>
reti red</w>
n aked</w>
p uni
speed way</w>
sci ences</w>
rehear sal</w>
on ym
dy ou
pl ates</w>
r ati
kri sh
jaz z
car ol</w>
ra f</w>
pen alty</w>
tim eline</w>
ru by</w>
engine ers</w>
ra f
bel le</w>
do se</w>
che on</w>
esc ap
me g
ran k</w>
or d</w>
me gan</w>
mer ch</w>
ec lipse</w>
âĺº ï¸ı
ple dge</w>
kir k</w>
per si
leice ster</w>
sa k
w k
saf ely</w>
yy y</w>
je t
promis ed</w>
j c</w>
en ne</w>
no ah</w>
re no
re a</w>
ðŁĺĤðŁĺĤ ðŁĺĤðŁĺĤ</w>
tra il
ðŁij Ģ
f d</w>
soo o</w>
ri min
w k</w>
ภ²
i al
x ox
bis cu
d ale
fan dom</w>
particip ating</w>
fla g
privi lege</w>
pe ach</w>
mach ine
bo ston
gro ss</w>
o g
mir acle</w>
adop tion</w>
u ss
mon sters</w>
be ij
clar ke</w>
pu shing</w>
pra ying</w>
ar o</w>
d n
ell is</w>
apol lo</w>
od ds</w>
refuge e</w>
to w
b p</w>
ðŁĩ¬ðŁĩ §</w>
h end
app eared</w>
memb ership</w>
pe an
du m</w>
viol ent</w>
v y
potat oes</w>
aw w</w>
greet ings</w>
t ts</w>
ac on</w>
sh ane</w>
photograph ed</w>
cra b</w>
temper atures</w>
cu ba</w>
c fc</w>
wel com
he l</w>
in nings</w>
m k
co de
kno ck</w>
gra ss
swe dish</w>
p ta</w>
ick y</w>
v at
lin ing</w>
s q</w>
sa p</w>
ar c</w>
announ cing</w>
sk ins</w>
cit yof
br ing
co x</w>
gam er</w>
it arian</w>
i da</w>
h d
ros se</w>
sad ly</w>
ge o</w>
âļ ¡ï¸ı</w>
tag s</w>
fa ther
chan ge
l ance</w>
whis key</w>
adel aide</w>
te c</w>
stick ers</w>
marke t
class y</w>
bad ass</w>
flo rence</w>
lin er</w>
fro st</w>
k ate
ac on
scand al</w>
es sex</w>
ðŁĺ ı
vi vi
dr ill</w>
blo ggers</w>
recomm end
d ha
ac res</w>
ro ma</w>
bu y
gro cer
er ia</w>
ma har
ff er</w>
patter ns</w>
ver i
com pu
st ev
ang a</w>
ment or</w>
do o</w>
it ali
cdn poli</w>
on ly
conduc t</w>
elec tro
de f</w>
wh ale</w>
prepar ation</w>
bicy cle</w>
vi ral</w>
turn out</w>
bra ss</w>
qu ad
hospit ality</w>
pack aging</w>
den cy</w>
ceme tery</w>
abo ard</w>
dre aming</w>
pic ture
t all
inv ent
ad mi
o e</w>
tem ps</w>
qu an
fun dam
pro mp
resi dence</w>
mu d</w>
sour i</w>
âĦ ¢</w>
graff iti</w>
gi f</w>
d nd</w>
com p</w>
s war
pe eps</w>
pale stine</w>
devil s</w>
san g</w>
assi stance</w>
bi ke
missi ssi
inter viewed</w>
ne phew</w>
dru ms</w>
v and
gentle men</w>
n sw</w>
inst a</w>
leban on</w>
ee ee
oli via</w>
ver y
rou gh
industri es</w>
m ation</w>
ðŁĺ Ĵ</w>
bar rel</w>
n ay
po ps</w>
moder n
ill y
are st</w>
on ents</w>
protec ting</w>
v ans</w>
e o</w>
vi kings</w>
restaur ants</w>
re ck
jac kie</w>
andre w
w illing</w>
he ath</w>
citiz en
disc rimin
๠Ī</w>
stu art</w>
m ys</w>
hi p
tran sp
" ?</w>
te x</w>
su shi</w>
ke d
cro ssed</w>
dist ur
pe dia</w>
f ate</w>
some how</w>
mo th</w>
proce ssing</w>
is s
r in</w>
u ts</w>
yy c</w>
ver t</w>
lg bt
re id</w>
on to
arab ia</w>
habit at</w>
= =
stre ak</w>
simp son</w>
addic tion</w>
wim ble
deli vers</w>
challeng ing</w>
ðŁİ ¶
fran ch
e du
s me
ai ds</w>
hur st</w>
th am
tari an</w>
remem bered</w>
palestin ian</w>
fe es</w>
tru m
sket ch
ur u</w>
fit ting</w>
jes se</w>
ðŁĶ¥ ðŁĶ¥</w>
---- ----
ba ch
ici a</w>
colo red</w>
da h</w>
associ ate</w>
int el
s eller</w>
p u</w>
stu ffed</w>
ac s</w>
b s
sh in</w>
cooper ation</w>
certific ate</w>
ab u</w>
ingredi ents</w>
re v</w>
in ge
el der
christi an
bun dle</w>
th ic</w>
dir t</w>
beij ing</w>
comm it</w>
ted dy</w>
ed u</w>
to day
s field</w>
w yn
confir ms</w>
lo o</w>
j v</w>
ene ss</w>
al pha
vir us</w>
ari um</w>
gr ind</w>
bri dges</w>
introduc tion</w>
pol ls</w>
bac ter
z ach</w>
termin al</w>
ra iders</w>
fla vor</w>
zom bie</w>
vo d
sp reading</w>
gameof thrones</w>
effici ency</w>
lat ely</w>
ale m</w>
twee t
cri mes</w>
cl er
de y</w>
dg ed</w>
hy un
pay ments</w>
cir cus</w>
ðŁĺŃ ðŁĺŃ</w>
mis souri</w>
lu b</w>
episo des</w>
c age</w>
po s</w>
mat ching</w>
tumb lr</w>
lin ed</w>
ge st
am bi
nar r
ing ton
regu l
blo wn</w>
is le</w>
co co
on don</w>
joshu a</w>
tour ing</w>
sm a</w>
sau sage</w>
best friend</w>
bo eing</w>
desi re</w>
sav age</w>
ra pper</w>
de vo
te ar</w>
take over</w>
cow boys</w>
po ker</w>
par ag
pp e</w>
h int</w>
we ars</w>
se th</w>
ro les</w>
l anc
man ga</w>
form at</w>
fl yer</w>
c ay
mo or</w>
ba ke</w>
spla sh</w>
v ad
ker ala</w>
proce eds</w>
sil ly</w>
reflec tion</w>
di str
wi d
su it
ci vic</w>
yan kees</w>
by n</w>
migr ation</w>
di stin
or ch
fe mini
quali fying</w>
tu ri
o be
hun dred</w>
cra p</w>
wan g</w>
mathe mat
bu re
expo sure</w>
fergu son</w>
seme ster</w>
re serv
pl ym
a hu
fac ial</w>
wa x</w>
wor ried</w>
ca b</w>
vi o
as a</w>
co d</w>
to pics</w>
p cs</w>
hal o</w>
rescu ed</w>
horiz on</w>
ar k
âļ ª
hol ly</w>
el f</w>
ul ti
pu p
quali fied</w>
attend ance</w>
ati vely</w>
destro y</w>
y c</w>
for th</w>
photoo ftheday</w>
c ents</w>
ic eland</w>
meas ures</w>
de sk
port folio</w>
artic les</w>
direc tors</w>
dat ab
e w
creep y</w>
oun ding</w>
hon oured</w>
mi st</w>
j it
men tioned</w>
port able</w>
iti c</w>
d ann
friday feeling</w>
am id</w>
ti ger
scri p
helicop ter</w>
hard ware</w>
expl or
work place</w>
austri a</w>
beat les</w>
ber nar
spi der
disc o</w>
cul t</w>
lim its</w>
shor tly</w>
fin al
nin ja</w>
lu ke
le bron</w>
wal mart</w>
o il
van illa</w>
shi re
ye g</w>
ak y</w>
c s
bl er</w>
collec ted</w>
t g</w>
rol led</w>
speci als</w>
b ff</w>
pier re</w>
sh im
vi er</w>
flash back</w>
restor ation</w>
individu als</w>
pro d</w>
fre aking</w>
tu rer</w>
o a</w>
re fre
mor oc
gre et</w>
re yn
care ful</w>
our ing</w>
u sh
is d</w>
g ill</w>
vie w
thunder storm</w>
b led</w>
pic nic</w>
guar di
pi g
ar k</w>
syl vania</w>
bann ed</w>
u cl
vi jay
ori um</w>
av engers</w>
believ es</w>
eu r</w>
monu ment</w>
concer ned</w>
la bs</w>
ber g
a ap
vi sh
sing les</w>
can cel
z el</w>
ar ab</w>
ru th</w>
too th</w>
ar ta</w>
sh af
chair s</w>
r ack</w>
dise ases</w>
crow d
cl y
fle x</w>
christ ma
artif icial</w>
tom at
fin e
dra ws</w>
advoc ate</w>
fran ce
Ù Ĭ
ðŁĺ ³
heav y
s our</w>
compre hen
no ble</w>
aa p</w>
hin du</w>
cor al</w>
g ars</w>
ow en</w>
n l
st all</w>
yel low
mar ina</w>
in ver
suppor t
tou gh
promis es</w>
pi e
master piece</w>
sco re
for ce
mor tg
crypto currency</w>
o x</w>
r ors</w>
rock in</w>
pro vin
ho g
no stal
oak land</w>
pat rick
inclu sion</w>
tra ffic
ah med</w>
a ha
lux ury
con secu
de mon</w>
âĸ º</w>
b lowing</w>
st ag
: "</w>
encoura ge</w>
ben e
sku ll</w>
do dge</w>
bu ster</w>
kin son</w>
wit ne
er ror</w>
lo west</w>
fel low
à °
sh re
bl ur
vir gin</w>
compos er</w>
sli p</w>
mor nings</w>
ga ins</w>
tab le
gra in</w>
ari st</w>
braz ilian</w>
w we
tu es</w>
ribb on</w>
an ag
di st</w>
sac rif
em brace</w>
entreprene ur
af fili
de o</w>
t ali
touri st</w>
fat al</w>
ì Ĭ
autom atic</w>
ðŁĩ µ
we ak
wel fare</w>
confir m</w>
benjam in</w>
fi ghts</w>
alleg ed</w>
me ad
strugg ling</w>
pro secu
che f
à ¨
propos al</w>
er n</w>
ðŁĺ Ħ
dy k</w>
on gs</w>
hon g
m ack</w>
mel on</w>
on ent</w>
ru sh
d ap
tol er
pro pag
c ze
trans lation</w>
wal let</w>
cott age</w>
sa il</w>
constitu tion</w>
ðŁĴ Ģ</w>
mun ici
fav or</w>
storm hour</w>
i h
ðŁĺ Į</w>
approach ing</w>
pin ned</w>
j ed
niger ian</w>
n ach
sh at
particul arly</w>
mc don
camer as</w>
anni e</w>
admini str
he at
electr ical</w>
char ming</w>
gib son</w>
bouti que</w>
ex posed</w>
ac tor
pil low</w>
beach es</w>
genu ine</w>
margare t</w>
ben nett</w>
lou isi
pos itions</w>
el y
shin y</w>
ten tion</w>
architec t</w>
ren tal</w>
ac qui
goo gle
sub way</w>
mom ent
ðŁļ ¨
ri m</w>
metho ds</w>
cy cli
nor folk</w>
Ù Ī
over whel
ra pid</w>
we ar
happy birthday</w>
progre ssive</w>
ðŁĴ ¥
co gn
pap a</w>
f ool</w>
philosoph y</w>
pol ar</w>
jim my
wi g</w>
ðŁĴ ĭ
oper ating</w>
reduc tion</w>
ph i</w>
fla gs</w>
to the
o di
a res</w>
k oo
k ang
ar kansas</w>
ash ton</w>
wimble don</w>
sci fi</w>
attrac tive</w>
mississi ppi</w>
logi sts</w>
ral ph</w>
la bel
gradu ates</w>
ma ha
home town</w>
âľĮ ï¸ı</w>
foun ded</w>
on the
li z</w>
trans l
mini mum</w>
pre sti
ta m</w>
gener ations</w>
re bel</w>
journ alists</w>
par am
mc m</w>
acry lic</w>
death s</w>
tes la</w>
w t</w>
bry ant</w>
jer us
i stanbul</w>
muham mad</w>
ri ley</w>
k ris</w>
work shops</w>
is o</w>
coun ts</w>
stre t
prote cted</w>
trin ity</w>
man ual</w>
r hin
r il
pleas ant</w>
le mon
ner d</w>
har der</w>
dar ren</w>
bur y
ra h
bas is</w>
mi gu
occa sion</w>
li sts</w>
âĿ¤ï¸ıâĿ¤ï¸ı âĿ¤ï¸ı</w>
e b
de cre
hamp ton</w>
ìĿ ´
tra vis</w>
trans form</w>
puer to</w>
nh l
av oc
tri ps</w>
unexpe cted</w>
ve t
di dyou
bar ber</w>
st ages</w>
m son</w>
re presented</w>
for t
l al
pp le</w>
nic ely</w>
ignor e</w>
qu il
qu inn</w>
h k</w>
carri er</w>
remin ded</w>
am ong
pass enger</w>
el len</w>
gue z</w>
sc ape</w>
mu ral</w>
youn gest</w>
ma sh
d ill
rout ine</w>
stain less</w>
jack son
gand hi</w>
th al</w>
on ers</w>
edit orial</w>
convers ations</w>
sd ale</w>
autom ation</w>
i ke
า à¸
ðŁĩ ª</w>
hau l</w>
la ying</w>
men tions</w>
am en</w>
abor tion</w>
i bi
coun ties</w>
ca therine</w>
man ds</w>
jam e
roll er</w>
au t</w>
n am</w>
o logical</w>
cep tion</w>
ran king</w>
tox ic</w>
sn acks</w>
victor ian</w>
bang kok</w>
psycho logy</w>
re g</w>
ang ela</w>
respon d</w>
sty le
sophi e</w>
dak ota</w>
achiev ed</w>
mar ked</w>
imper ial</w>
in as</w>
glo ves</w>
sli m</w>
confi dent</w>
att acked</w>
gg er
lon ely</w>
valentine sday</w>
re b
craft beer</w>
orig in</w>
zim bab
ce iling</w>
te ens</w>
other wise</w>
w b</w>
f ers</w>
day sof
advis or</w>
y ah</w>
âĻ ª</w>
en der</w>
republic ans</w>
av a</w>
skir t</w>
pi pel
chi e</w>
jan e
ja x</w>
ðŁĺ ĭ
âľ Ĭ
j ays</w>
bre tt</w>
bal o
cru cial</w>
d har
as is</w>
de au</w>
lloy d</w>
chat ting</w>
âĿĦ ï¸ı</w>
rel ay</w>
remark able</w>
n s
we t
bris bane</w>
ðŁĶ ´
tion ally</w>
f k</w>
la yer</w>
house hold</w>
consecu tive</w>
es is</w>
pend ant</w>
st ir
crit ic
su gar
photo shop</w>
pa res</w>
arti stic</w>
do dgers</w>
c un
cra fted</w>
am end
bo at
âŃIJ ï¸ı
egyp tian</w>
sa w
tra ge
small er</w>
ox y
pa ired</w>
nex t
i res</w>
tac o</w>
o y</w>
u c</w>
st i</w>
a erial</w>
: //</w>
dr o</w>
dot com</w>
gg ins</w>
r pg</w>
ay e</w>
le an
stri ker</w>
lo bby</w>
prote sts</w>
pri ority</w>
congre ss
am ate
inv it
r ington</w>
mom my</w>
th us</w>
allow ing</w>
pione er</w>
enfor cement</w>
g ori
tal k
dra g</w>
du mb</w>
bul let</w>
san ge
er y
tar gets</w>
ðŁĩ ¦
he ather</w>
consi der
seaf ood</w>
ve st</w>
ris ks</w>
% .</w>
p g
sac red</w>
he ating</w>
kick ed</w>
tto t</w>
. -</w>
chan di
co ven
po ol
pul se</w>
i a
ro ster</w>
shakespe are</w>
es a</w>
car go</w>
pean ut</w>
tro op
ac tion
tab let</w>
home work</w>
cast le
stru ction</w>
mus icians</w>
free zing</w>
bu tt
justin bieber</w>
j j
bah rain</w>
an them</w>
au dit
didyou know</w>
na vig
guid ance</w>
âĸ ¶
tur f</w>
n un
fic ations</w>
ye men</w>
char ging</w>
x c</w>
bron cos</w>
su bur
p ale</w>
bor ing</w>
among st</w>
for the
em per
om fg</w>
p j
expe cting</w>
ðŁĴ «</w>
st l</w>
ad min</w>
expect ations</w>
sw an</w>
shoo t
oooo o</w>
min ent</w>
ãĢ IJ</w>
wall ace</w>
stan g</w>
satur day
adop ted</w>
dou bles</w>
hom ie</w>
ome z</w>
d han
vent ure</w>
surroun ding</w>
fi le
mob ility</w>
de es</w>
w ski</w>
broo ke</w>
emb ro
re members</w>
kar a</w>
test im
bo tan
m tv</w>
sacrif ice</w>
jerus alem</w>
d l
 ´</w>
proper ly</w>
ili on</w>
as i</w>
leg it</w>
co pe</w>
m cla
recy cling</w>
lar ger</w>
ðŁĴ ĵ</w>
pat ric
gener ous</w>
ja red</w>
p f</w>
mol ly</w>
thom as
ju dges</w>
h b</w>
sor ts</w>
bl vd</w>
o ven</w>
enter ing</w>
plan es</w>
be et
integr ation</w>
boo ked</w>
fre ed
ver n</w>
ash es</w>
to pped</w>
de pot</w>
welcom ed</w>
ren a</w>
m ick</w>
d and
see ks</w>
gam er
ran kings</w>
ren e</w>
mu t
whis ky</w>
fire fighters</w>
gu es</w>
ga ther</w>
tour ney</w>
de men
y ang</w>
new ton</w>
autom otive</w>
back yard</w>
deta iled</w>
mi st
to bac
fi ber</w>
un usual</w>
grat itude</w>
sp are</w>
ne ys</w>
: *</w>
per i
flo ating</w>
fin alist</w>
don ating</w>
dre ss
bro ad</w>
be the
econom ics</w>
tai wan</w>
ed wards</w>
plu g</w>
pra iri
val en
bab a</w>
f ad
an as</w>
har per</w>
dis order</w>
app lied</w>
p att
bi kin
li ver</w>
cu ri
carol ine</w>
ann er</w>
juli an</w>
wal king
mal col
screen shot</w>
co ding</w>
skin care</w>
activi sts</w>
myster ious</w>
ex act</w>
blo cking</w>
mercur y</w>
bat ter
du mp
âľ Į</w>
en se
li sh
ridic ulous</w>
prote sters</w>
ðŁĻ Ī
lu st</w>
swe at</w>
as s
ali ke</w>
co dy</w>
re ments</w>
win ds
as pir
vi enna</w>
pra y
.. .@</w>
bo i</w>
cand le</w>
assi sts</w>
te e
der son</w>
p ony</w>
f ence</w>
con spir
âĺħ âĺħ
oo th</w>
e pic
ba rely</w>
a unt</w>
b am</w>
diamon ds</w>
end less</w>
scre ens</w>
can cer
gr o</w>
p st</w>
pro spec
mo sque</w>
help ful</w>
ou ri
bro ther
gu jar
cri sti
ine z</w>
to wers</w>
ad dresses</w>
gra y
bur ton</w>
re tweeted</w>
ðŁ¤ Ķ
n ity</w>
du ck
super vis
jo an</w>
kin der
sanc tu
pi ed</w>
âı °</w>
ł ï¸ı</w>
m ati
reven ge</w>
ce ster</w>
eli fe</w>
desig ners</w>
back ed</w>
bo li
wei ght
cou ch</w>
su res</w>
s its</w>
shri mp</w>
la gos</w>
auth orities</w>
os ity</w>
hol ly
compu ting</w>
fac tors</w>
ab e</w>
pan els</w>
ram ad
sent ence</w>
missi on
hol m</w>
r b
d ads</w>
shang hai</w>
mon ey
she ets</w>
sk ate</w>
thre w</w>
cup cakes</w>
infin ite</w>
l is</w>
practic ing</w>
ess ay</w>
ka i
as ci
mo b</w>
u gh</w>
hol mes</w>
re gg
ik h</w>
mo ck</w>
collec tions</w>
pe p
o va</w>
sal t
nan dez</w>
co y
thre ats</w>
tex ts</w>
cin nam
pregn ancy</w>
pen ding</w>
stam p</w>
flow er
g is</w>
agre ed</w>
pay ne</w>
ro ver</w>
ph ra
sof t
f fin
fa thers</w>
pass engers</w>
aw ays</w>
al a
h es</w>
li van</w>
in s
samu el</w>
ingu i
h of</w>
j j</w>
chen nai</w>
cat al
om ic</w>
he ath
ni ece</w>
pump ed</w>
integr ated</w>
are l</w>
no m</w>
produc tivity</w>
wan ting</w>
vis a</w>
di ana</w>
tw il
it v</w>
cam ps</w>
ro wing</w>
d ley</w>
black and
gu ards</w>
b ells</w>
re verse</w>
vi be</w>
ric ky</w>
mo ss</w>
ny t</w>
âĺ Ģï¸ı
el le
tro y</w>
cu dd
ev an
women s
fo to</w>
mi stakes</w>
wick ed</w>
mi l</w>
c led</w>
me mes</w>
co smo
schol ar</w>
ren o</w>
ðŁĺ Ģ
v ents</w>
# âĢ¦</w>
terrori sts</w>
ca sey</w>
cardin als</w>
ðŁĺĬ ðŁĺĬ
venezu ela</w>
bol a</w>
liter acy</w>
t w</w>
en o</w>
con tains</w>
au stin
fin anci
ev an</w>
har vard</w>
origin ally</w>
chev ro
her ald</w>
nott ingham</w>
manag ers</w>
âŀ ¡</w>
accep ting</w>
wal sh</w>
tutor ial</w>
entrepreneur ship</w>
yach t</w>
requi rements</w>
glen n</w>
pe de
unfortun ately</w>
ach ing</w>
dais y</w>
gi an</w>
night mare</w>
âĿ Ĺ
r ina</w>
b art</w>
ema ils</w>
oppo site</w>
who m</w>
sa ke</w>
pu zzle</w>
da shi
par ty
blan ket</w>
bus es</w>
lo re
beau ty
reas on
pun jab</w>
winds or</w>
func tional</w>
exi sting</w>
hel lo
gli mp
con vin
la k
scre aming</w>
rebec ca</w>
bli ss</w>
north west</w>
infin ity</w>
cosme tics</w>
pul ling</w>
coffe e
pl ing</w>
op ho
colom bia</w>
interior design</w>
( +</w>
emo tions</w>
sa c</w>
sun glasses</w>
sav es</w>
d f
six th</w>
al y</w>
ðŁĺ »</w>
de en</w>
dev ast
polit icians</w>
lac rosse</w>
g u</w>
pe i</w>
jav a</w>
comb ine</w>
coal ition</w>
er ts</w>
survi v
ch ad</w>
stri an</w>
n n</w>
de vi
coun c
concer n</w>
contro ller</w>
bre ast
j ury</w>
tu m
introduc es</w>
la di
mobi le
al z
ste ady</w>
nur ses</w>
h acking</w>
on line
oce an
ðŁİ Ħ
a am
ju ven
ic c</w>
louisi ana</w>
ar te</w>
street art</w>
is on
wn s</w>
fr m</w>
p anda</w>
no ir</w>
main tain</w>
del ay
symp toms</w>
thor n
ge ome
ter n</w>
carri ed</w>
p ru
pan or
as sy</w>
per u</w>
clou d
sp ra
pe di
e ste
tag ged</w>
ðŁĺ Ŀ</w>
shado ws</w>
naz i</w>
ا٠Ħ
cor ri
âĻ¥ âĻ¥
j ad
ðŁĩ «
form al</w>
spo ken</w>
ðŁĮ ŀ</w>
enjo y
lo pez</w>
out look</w>
in ho</w>
w ander
Ù ħ
ma ya</w>
pe e
d ine</w>
ãĢ ij</w>
brief ing</w>
suppor ter</w>
ar ily</w>
ght ers</w>
natur ally</w>
doctor who</w>
j en</w>
v ar</w>
new year</w>
re se
si mm
re x
con sequ
tomat oes</w>
bur st</w>
bra vo</w>
bur gers</w>
cr acking</w>
nor theast</w>
bi om
mush room</w>
mar que
dou ble
ni er</w>
v ag
tw enty</w>
key board</w>
win ni
jama ica</w>
par ish</w>
: -
mental health</w>
ali zing</w>
ren der</w>
wa king</w>
ðŁİ Ĥ
g ly
na than
wa shing</w>
mel issa</w>
jun g</w>
loy al</w>
chil i</w>
song writer</w>
guit arist</w>
bo wie</w>
neighb ors</w>
onym ous</w>
as set</w>
ta i</w>
head quarters</w>
ðŁĮ Ī</w>
i hear
ci gare
sur g
) "</w>
re pl
dar ling</w>
ðŁĻ Ħ</w>
z ak
sa re
ãħ ĭ
mic key</w>
ware house</w>
mass age</w>
ine es</w>
did nt</w>
i w
hur ts</w>
eng aging</w>
mag ic
women in
k itten</w>
mor s</w>
c art</w>
tit ans</w>
colle ague</w>
compe ting</w>
er an</w>
k hal
mar ble</w>
dem and
del ight</w>
et ary</w>
bli zz
lou ise</w>
m ls</w>
fini shes</w>
experim ent</w>
conduc ted</w>
electr onics</w>
itt ers</w>
car ing</w>
wh ats</w>
sym bol</w>
jun g
e cu
pi x</w>
con text</w>
char ger</w>
ðŁĺ ĩ</w>
re ig
fra g
ë ĭ
ch ad
tru e
ker ry</w>
def ending</w>
a int</w>
au ton
check out</w>
bar nes</w>
less ly</w>
d t
m me</w>
clou dy</w>
second ary</w>
are z</w>
_ :</w>
app a</w>
const ant</w>
" )</w>
ve ts</w>
jo b
i ent</w>
ðŁĺŃðŁĺŃ ðŁĺŃ</w>
m j
fren ch
di ver
davi es</w>
hh hh</w>
e book</w>
๠ī</w>
mar iti
bree ze</w>
susp ended</w>
mat o
vi et</w>
ra hu
se i
bol t</w>
en ary</w>
le is
kar l</w>
fr amed</w>
expla ining</w>
ab c
de aling</w>
nat o</w>
ja ke
exp and</w>
leon ard</w>
establi shed</w>
du b</w>
ar men
el led</w>
voc al</w>
nichol as</w>
ori ent
k yo
illustr ated</w>
ah h</w>
danc ers</w>
milli on
ge ta
po pp
as u
mur dered</w>
gi ble</w>
sto ked</w>
gri ffin</w>
maxi mum</w>
adri an</w>
en counter</w>
ther o
david son</w>
ðŁį »</w>
holi day
ev o</w>
asse ts</w>
car son</w>
memor able</w>
âļ ½</w>
ob am
represent ative</w>
cb d</w>
tr icks</w>
vo gue</w>
vo ice
mm mm</w>
sebasti an</w>
cli f
ath y</w>
par alle
ðŁ¤ ·
pa k
ev acu
e ats</w>
ا Ø
tou ched</w>
organ ised</w>
spir its</w>
can ad
gui ded</w>
frame work</w>
ðŁĮ Ł
pe d
natur al
ag ar
replac ed</w>
anch or</w>
ti t</w>
sha h
organ is
super ior</w>
r n
ch ro
eric a</w>
st ill
cor on
chu ck
loc ks</w>
or gan</w>
ro sen
sc am</w>
ben ed
/ #</w>
ke en</w>
tre vor</w>
vamp ire</w>
sor ted</w>
! '</w>
af ford</w>
in tro</w>
gr ace
ðŁĺ ľ
sau r</w>
kick starter</w>
influ en
v u</w>
y up</w>
po c
ðŁİ ¥</w>
a ar</w>
s ang
tre k
et sy
tb h</w>
scre am</w>
chevro let</w>
pix el</w>
shepher d</w>
an or
gabri el</w>
tw ood</w>
sd cc</w>
me ters</w>
develop ers</w>
clo sure</w>
v w</w>
twit ch
ì Ĺ
se oul</w>
pr ice
ho g</w>
n ish</w>
hill ary
scrat ch</w>
in cen
wag on</w>
dis ability</w>
pan ther</w>
ch ats</w>
g d
wit z</w>
sus sex</w>
l ate
den mark</w>
ger ald</w>
cancel led</w>
net te</w>
i x
nav al</w>
bap tist</w>
te t</w>
y ad
ma th
ho y</w>
r andy</w>
po int
intel lec
fru its</w>
w ool</w>
gu in
pr on
the ft</w>
con dem
mar ry</w>
n ola
gitextract_hsuh8rjz/ ├── .gitignore ├── LICENSE ├── README.md ├── StableDiffusion/ │ ├── Program.cs │ └── StableDiffusion.csproj ├── StableDiffusion.ML.OnnxRuntime/ │ ├── EulerAncestralDiscreteScheduler.cs │ ├── LMSDiscreteScheduler.cs │ ├── README.md │ ├── SafetyChecker.cs │ ├── SchedulerBase.cs │ ├── StableDiffusion.ML.OnnxRuntime.csproj │ ├── StableDiffusion.ML.OnnxRuntime.targets │ ├── StableDiffusionConfig.cs │ ├── TensorHelper.cs │ ├── TextProcessing.cs │ ├── UNet.cs │ ├── VaeDecoder.cs │ └── cliptokenizer.onnx └── StableDiffusion.sln
SYMBOL INDEX (51 symbols across 10 files)
FILE: StableDiffusion.ML.OnnxRuntime/EulerAncestralDiscreteScheduler.cs
class EulerAncestralDiscreteScheduler (line 6) | public class EulerAncestralDiscreteScheduler : SchedulerBase
method EulerAncestralDiscreteScheduler (line 14) | public EulerAncestralDiscreteScheduler(
method SetTimesteps (line 57) | public override int[] SetTimesteps(int num_inference_steps)
method Step (line 78) | public override DenseTensor<float> Step(Tensor<float> modelOutput,
FILE: StableDiffusion.ML.OnnxRuntime/LMSDiscreteScheduler.cs
class LMSDiscreteScheduler (line 7) | public class LMSDiscreteScheduler : SchedulerBase
method LMSDiscreteScheduler (line 17) | public LMSDiscreteScheduler(int num_train_timesteps = 1000, float beta...
method GetLmsCoefficient (line 59) | public double GetLmsCoefficient(int order, int t, int currentOrder)
method SetTimesteps (line 83) | public override int[] SetTimesteps(int num_inference_steps)
method Step (line 103) | public override DenseTensor<float> Step(
FILE: StableDiffusion.ML.OnnxRuntime/SafetyChecker.cs
class SafetyChecker (line 9) | public static class SafetyChecker
method IsNotSafe (line 11) | public static bool IsNotSafe(Tensor<float> resultImage, StableDiffusio...
method ReorderTensor (line 33) | private static DenseTensor<float> ReorderTensor(Tensor<float> inputTen...
method ClipImageFeatureExtractor (line 49) | private static DenseTensor<float> ClipImageFeatureExtractor(Tensor<flo...
FILE: StableDiffusion.ML.OnnxRuntime/SchedulerBase.cs
class SchedulerBase (line 6) | public abstract class SchedulerBase
method SchedulerBase (line 16) | public SchedulerBase(int _numTrainTimesteps = 1000)
method Interpolate (line 21) | public static double[] Interpolate(double[] timesteps, double[] range,...
method ScaleInput (line 66) | public DenseTensor<float> ScaleInput(DenseTensor<float> sample, int ti...
method SetTimesteps (line 79) | public abstract int[] SetTimesteps(int num_inference_steps);
method Step (line 81) | public abstract DenseTensor<float> Step(
FILE: StableDiffusion.ML.OnnxRuntime/StableDiffusionConfig.cs
class StableDiffusionConfig (line 5) | public class StableDiffusionConfig
type ExecutionProvider (line 8) | public enum ExecutionProvider
method GetSessionOptionsForEp (line 32) | public SessionOptions GetSessionOptionsForEp()
FILE: StableDiffusion.ML.OnnxRuntime/TensorHelper.cs
class TensorHelper (line 5) | public class TensorHelper
method CreateTensor (line 7) | public static DenseTensor<T> CreateTensor<T>(T[] data, int[] dimensions)
method DivideTensorByFloat (line 12) | public static DenseTensor<float> DivideTensorByFloat(float[] data, flo...
method MultipleTensorByFloat (line 22) | public static DenseTensor<float> MultipleTensorByFloat(float[] data, f...
method MultipleTensorByFloat (line 32) | public static DenseTensor<float> MultipleTensorByFloat(Tensor<float> d...
method AddTensors (line 37) | public static DenseTensor<float> AddTensors(float[] sample, float[] su...
method AddTensors (line 46) | public static DenseTensor<float> AddTensors(Tensor<float> sample, Tens...
method SplitTensor (line 51) | public static Tuple<Tensor<float>, Tensor<float>> SplitTensor(Tensor<f...
method SumTensors (line 74) | public static DenseTensor<float> SumTensors(Tensor<float>[] tensorArra...
method Duplicate (line 91) | public static DenseTensor<float> Duplicate(float[] data, int[] dimensi...
method SubtractTensors (line 97) | public static DenseTensor<float> SubtractTensors(float[] sample, float...
method SubtractTensors (line 106) | public static DenseTensor<float> SubtractTensors(Tensor<float> sample,...
method GetRandomTensor (line 111) | public static Tensor<float> GetRandomTensor(ReadOnlySpan<int> dimensions)
FILE: StableDiffusion.ML.OnnxRuntime/TextProcessing.cs
class TextProcessing (line 6) | public static class TextProcessing
method PreprocessText (line 8) | public static DenseTensor<float> PreprocessText(String prompt, StableD...
method TokenizeText (line 28) | public static int[] TokenizeText(string text, StableDiffusionConfig co...
method CreateUncondInput (line 60) | public static int[] CreateUncondInput()
method TextEncoder (line 73) | public static DenseTensor<float> TextEncoder(int[] tokenizedInput, Sta...
FILE: StableDiffusion.ML.OnnxRuntime/UNet.cs
class UNet (line 7) | public class UNet
method CreateUnetModelInput (line 9) | public static List<NamedOnnxValue> CreateUnetModelInput(Tensor<float> ...
method GenerateLatentSample (line 22) | public static Tensor<float> GenerateLatentSample(StableDiffusionConfig...
method GenerateLatentSample (line 26) | public static Tensor<float> GenerateLatentSample(int height, int width...
method performGuidance (line 54) | private static Tensor<float> performGuidance(Tensor<float> noisePred, ...
method Inference (line 72) | public static SixLabors.ImageSharp.Image Inference(String prompt, Stab...
FILE: StableDiffusion.ML.OnnxRuntime/VaeDecoder.cs
class VaeDecoder (line 8) | public static class VaeDecoder
method Decoder (line 10) | public static Tensor<float> Decoder(List<NamedOnnxValue> input, Stable...
method ConvertToImage (line 25) | public static Image<Rgba32> ConvertToImage(Tensor<float> output, Stabl...
FILE: StableDiffusion/Program.cs
class Program (line 5) | public class Program
method Main (line 7) | static void Main(string[] args)
Condensed preview — 19 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (2,047K chars).
[
{
"path": ".gitignore",
"chars": 6051,
"preview": "## Ignore Visual Studio temporary files, build results, and\n## files generated by popular Visual Studio add-ons.\n##\n## G"
},
{
"path": "LICENSE",
"chars": 1070,
"preview": "MIT License\n\nCopyright (c) 2023 Cassie Breviu\n\nPermission is hereby granted, free of charge, to any person obtaining a c"
},
{
"path": "README.md",
"chars": 4166,
"preview": "\n# Inference Stable Diffusion with C# and ONNX Runtime\n\nThis repo contains the logic to do inferencing for the popular S"
},
{
"path": "StableDiffusion/Program.cs",
"chars": 2251,
"preview": "using StableDiffusion.ML.OnnxRuntime;\n\nnamespace StableDiffusion\n{\n public class Program\n {\n static void M"
},
{
"path": "StableDiffusion/StableDiffusion.csproj",
"chars": 561,
"preview": "<Project Sdk=\"Microsoft.NET.Sdk\">\n\n\t<PropertyGroup>\n\t\t<OutputType>Exe</OutputType>\n\t\t<TargetFramework>net6.0</TargetFra"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/EulerAncestralDiscreteScheduler.cs",
"chars": 6779,
"preview": "using Microsoft.ML.OnnxRuntime.Tensors;\nusing NumSharp;\n\nnamespace StableDiffusion.ML.OnnxRuntime\n{\n public class Eu"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/LMSDiscreteScheduler.cs",
"chars": 8151,
"preview": "using Microsoft.ML.OnnxRuntime.Tensors;\nusing MathNet.Numerics;\nusing NumSharp;\n\nnamespace StableDiffusion.ML.OnnxRunti"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/README.md",
"chars": 3107,
"preview": "\n# Inference Stable Diffusion with C# and ONNX Runtime\n\nThis package contains the logic to do inferencing for the popula"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/SafetyChecker.cs",
"chars": 4052,
"preview": "using Microsoft.ML.OnnxRuntime;\nusing Microsoft.ML.OnnxRuntime.Tensors;\nusing SixLabors.ImageSharp.PixelFormats;\nusing "
},
{
"path": "StableDiffusion.ML.OnnxRuntime/SchedulerBase.cs",
"chars": 3411,
"preview": "using Microsoft.ML.OnnxRuntime.Tensors;\nusing NumSharp;\n\nnamespace StableDiffusion.ML.OnnxRuntime\n{\n public abstract"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/StableDiffusion.ML.OnnxRuntime.csproj",
"chars": 2966,
"preview": "<Project Sdk=\"Microsoft.NET.Sdk\">\n\n\t<PropertyGroup Label=\"Globals\" Condition=\"'$(Configuration)|$(Platform)'=='Debug|An"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/StableDiffusion.ML.OnnxRuntime.targets",
"chars": 330,
"preview": "<Project xmlns=\"http://schemas.microsoft.com/developer/msbuild/2003\">\n\t<ItemGroup>\n\t\t<ModelFiles Include=\"$(MSBuildThis"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/StableDiffusionConfig.cs",
"chars": 2209,
"preview": "using Microsoft.ML.OnnxRuntime;\n\nnamespace StableDiffusion.ML.OnnxRuntime\n{\n public class StableDiffusionConfig\n "
},
{
"path": "StableDiffusion.ML.OnnxRuntime/TensorHelper.cs",
"chars": 4889,
"preview": "using Microsoft.ML.OnnxRuntime.Tensors;\n\nnamespace StableDiffusion.ML.OnnxRuntime\n{\n public class TensorHelper\n {"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/TextProcessing.cs",
"chars": 4009,
"preview": "using Microsoft.ML.OnnxRuntime.Tensors;\nusing Microsoft.ML.OnnxRuntime;\n\nnamespace StableDiffusion.ML.OnnxRuntime\n{\n "
},
{
"path": "StableDiffusion.ML.OnnxRuntime/UNet.cs",
"chars": 6345,
"preview": "using Microsoft.ML.OnnxRuntime;\nusing Microsoft.ML.OnnxRuntime.Tensors;\nusing System.Diagnostics;\n\nnamespace StableDiff"
},
{
"path": "StableDiffusion.ML.OnnxRuntime/VaeDecoder.cs",
"chars": 2059,
"preview": "using Microsoft.ML.OnnxRuntime;\nusing Microsoft.ML.OnnxRuntime.Tensors;\nusing SixLabors.ImageSharp.PixelFormats;\nusing "
},
{
"path": "StableDiffusion.ML.OnnxRuntime/cliptokenizer.onnx",
"chars": 1664200,
"preview": "\b\u0006:f\nf\n\fstring_input\u0012\tinput_ids\u0012\u000eattention_mask\u001a\u0006bpetok\"\rCLIPTokenizer*ـ#\n\u0006merges\"ʀ##version: 0.2\r\ni n\r\nt h\r\na n\r\nr e\r\na"
},
{
"path": "StableDiffusion.sln",
"chars": 2322,
"preview": "\nMicrosoft Visual Studio Solution File, Format Version 12.00\n# Visual Studio Version 17\nVisualStudioVersion = 17.4.3320"
}
]
About this extraction
This page contains the full source code of the cassiebreviu/StableDiffusion GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 19 files (1.6 MB), approximately 799.5k tokens, and a symbol index with 51 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.