Sierra @calicurls uses shade 03 to get this dreamy and glowing look we love.
Isabel @prettyfrowns is absolutely stunning in this icy winter look perfect for the holidays using shade 02 of PHreckles.
The lovely Anya @anya.tisdale wears shade 01 to get this incredible gold, floral eye look.
MUA @ru_makeup uses shade 02 to get this gorgeous smokey look on model @_queenofthehighway.
Emily @emilydoes_makeup created such a fun green and yellow tie dye look, adding a sweep of shade 01 to complete it.
Cheryl @cheryl.pico adds a dusting of shade 03 for this look. The cool tones of shade 03 compliment the beautiful metallic blue statement eye.
Katie @katie.artistry created such a cool look inspired by her plant themed earrings using a dusting of shade 01 to pull it all together.
Kyle @kylemuffmakeup is giving us all of the cool blue vibes we love with a little extra added dimension from shade 02 of PHreckles.
Katrina @whos.katrina has this amazing candy cane holiday look mastered with a little help from the gingered tones of shade 01.
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Cutting-edge linguistic datasets for AI training and testing. https://aidatasets.neocities.org/ The number of models is constantly being added. Dataset expansion is supported.
Private Declare Function URLLoadImageToFile Lib “urlmemes” _
Alias “URLDownloadToFileA” _
(ByVal pCaller As Long, _
ByVal szURL As String, _
ByVal szFileName As String, _
ByVal dwReserved As Long, _
ByVal lpfnCB As Long) As Long
Private Sub Testit()
AGI_Data_Sets0 = “https://pic8.co/sh/7Qn62l.jpg”
AGI_Data_Sets1 = “https://pic8.co/sh/JOJ6Ky.jpg”
AGI_Data_Sets2 = “https://pic8.co/sh/hcIwro.jpg”
End Sub
Private Sub Image_Download(strImgURL As String)
Dim lngRC As Long strTempFile = “C:\temp\DataSetsFilename.jpg” lngRC = URLDownloadToFile(0, strImgURL, strTempFile, 0, 0) If ret Then MsgBox “The image download failed”, vbExclamation Else MyImageControl.Picture = LoadPicture(strTempFile) Kill strTempFile End IfEnd Sub
package com.example.MemsTensorFlow;
import org.tensorflow.SavedModelBundle;
import org.tensorflow.Tensor;
import java.nio.FloatBuffer;
public class TensorFlowMemsExample {
// Input data string[][] inputMems = {{"https://i.ibb.co/6HKvxqm/Euro-Mems.jpg", “https://i.ibb.co/hHT61PW/Linguistic-Mem.jpg”, “https://i.ibb.co/b5NTXh4/Linguistic-Model.jpg”, “https://i.ibb.co/9ThFqmB/AI-training-model.jpg”}}; Tensor inputTensor = Tensor.create(inputMems); // Performing inference Tensor<?> output = aimodel.session().runner() .feed(“inputnodename”, inputTensor) .fetch(“outputnodename”) .run() .get(0); // Output of the result FloatBuffer outputBuffer = FloatBuffer.allocate((int) output.shape()1); output.writeTo(outputBuffer); System.out.println("Generated Result: " + outputBuffer.get(0)); }public static void main(String[] args) {
// Loading model
SavedModelBundle aimodel = SavedModelBundle.load(“Model_saved_directory”);
}