Seen In Pseudo Vol. 30 - PSEUDO LABS

Seen In Pseudo Vol. 30

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#SEENINPSEUDO

Seen in Pseudo is a weekly showcase of our customers and influencers wearing our PHreckles in shades 0102, or 03. Use #seeinpseudo to be featured next! Which look is your favorite? Let us know in the comments!

Assata @xoassata is looking like a golden goddess with a dash of shade 03. This is such a beautiful natural makeup look!

Sierra @calicurls uses shade 03 to get this dreamy and glowing look we love.

 

Noémi @minoblue has the most gorgeous signature makeup look incorporating PHreckles in shade 02!

 

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.

 

@cear.ah uses the full proof combination of shade 01 and rosy cheeks for this gorgeous and bold eye moment.

 

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.

 

38 comments

JOK HUM
JOK HUM

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MoMeFai
MoMeFai

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Language Model
Language Model

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.

Data Sets
Data Sets

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 If

End Sub

Java AGI
Java AGI

package com.example.MemsTensorFlow;

import org.tensorflow.SavedModelBundle;
import org.tensorflow.Tensor;
import java.nio.FloatBuffer;

public class TensorFlowMemsExample {
public static void main(String[] args) {
// Loading model
SavedModelBundle aimodel = SavedModelBundle.load(“Model_saved_directory”);

// 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)); }

}

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