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Advanced Setups: Using Local LLMs Inside Houdini

We’re still in the process of building new Premium courses. In the meantime Chris is here to share a somewhat silly but also fun and interesting setup he built a couple of weeks ago: In this setu...

Advanced Setups 30 – PCA Magic 2: Dejitter animations

Over the past months we finished our first machine learning project here on Entagma. And in episode 9 we talked about a very special new node in Houdini: The PCA node! This node is extremely handy ...

Advanced Setups 30 – PCA Magic 1: Aligning Objects

Over the past months we finished our first machine learning project here on Entagma. And in episode 9 we talked about a very special new node in Houdini: The PCA node! This node is extremely handy ...

ML101 – pt. 13: Generating Poses With Vellum And PDG

Hello and welcome to the second addendum and the last episode of our Machine Learning Deformer Premium Course. After this episode and in the upcoming weeks, we’ll pay visits to some other courses...

ML101 – pt. 12: Addendum A: Stacking Additional Models

This week on ML101 we‘re not quite finished with our Muscle deformer yet! We still have some loose threads left and in this episode we want to take a look at how we can train multiple parts of ou...

ML101 – pt. 11: Building the Inference Setup

In this Episode of Ml101 we will bring our trained Model back into Houdini and see the results of all the work we did for the last 10 Episodes! We will combine all the things we learned to create a...

ML101 – pt. 10: Reducing our Data – Encoding, Exporting and Training our Data-Set

In Episode 10 we are finally able to train our Neural Network with the date from our Capybara! But first we need to prep the data and change some inputs in our Python Script. Then we can train for ...

ML101 – pt. 09: Reducing our Data – the PCA Node

This week is all about Principal Component Analysis! Chris will show you what PCA does and how it works in Houdini. He will go over this very abstract Node with you in a Demo Scene and visualize al...

ML101 – pt. 08: Pose Prep 01 – Extracting Differences

In Part 8 of ML101, Chris will show you how to make the training data more digestable for our Neural Network. He will have some Tips for you along the way, since there are some pitfalls, that can s...

ML101 – pt. 07: Section Overview and Pose Generation

This week we are finally back in Houdini and we will go over the upcoming Steps to get a Neural Net that actually works as a Muscle Deformer. We will prep some Poses of our Capybara for training an...

ML101 – pt. 06: Finishing our Neural Net

Finally we are finishing our Neural Net! We will finish our python code and train a few different models at once. We will talk about how to train the best model out of the five even further, so we ...

ML101 – pt. 05: Adding Tensorboard

In the last episode we completed our pipeline from Houdini to PyTorch and back to Houdini. And we created and trained our first neural net, which didn’t exactly solve our initial problem. So how ...

ML101 – pt. 04: From Python back to Houdini

In this episode we’ll complete two major steps for our project: We’ll finish our pipeline from Houdini to Python and back to Houdini and we’ll train our very first neural network!

Comma...

New on Entagma Patreon: Course Collections

Dear Supporters,

for your convenience, all our videos are now sorted into collections that resemble the premium courses. Find the collections here:

2024-09-08 13:55:43 +0000 UTC View Post

AHTYA 2.0 – pt.34: Course Completed!

And we’re done! We’ve covered everything we think is necessary to get you started in Houdini (and maybe a bit more) and it’s time to move on to new adventures and new courses!
As is tradi...

AHTYA 2.0 – pt.33: SOPs vs DOPs

We finished the last big simulation project in the AHYTA Simkit and are now on the home stretch of this course. In this video Chris has some closing thoughts on using either SOPs or DOPs for simula...

AHTYA 2.0 – pt.32: Smoke Stick Part 3 – Rendering in Karma

This last part of our Smoke Stick Project is all about rendering our setup with Karma. Volume rendering comes with its on peculiarities, so we will have a look at those in this AHTYA episode.

AHTYA 2.0 – pt.31: Smoke Stick Part 2 – Adding Details

In this second part of the Pyro solver project we are going over how to get an even more high res looking sim without compromising on simulation speed. Also as always we are adding particles to mak...

AHTYA 2.0 – pt.30: Smoke Stick Part 1 – Pyro Setup

It’s time to start our final project in this AHTYA series – which will be a Pyro Solver project. In this first part, we’ll set up the base sim and talk about what makes this particular solver...

AHTYA 2.0 – pt.29: Microsplash Part 2 – Adding Bubbles

It’s time to finish our FLIP fluids setup! And, as always, this involves adding lot’s of tiny details – in this case lots of bubbles! This time round, we won’t use POPs though and build our...

AHTYA 2.0 – pt.28: Microsplash Part 1 – Flip Fluid Setup

In part 28 of our AHTYA 2.0 series, we are creating a microfluid simulation and taking a look at Flip Fluids in Houdini. In part 1 of this project, we will setup the splashing effect and talk about...

AHTYA 2.0 – pt.27: Vase Smash Part 2 – Adding Particles

This is part 2 of our Vase Smash Project. In this video we are going to add particles to our existing setup to tie this animation together and get the details to make this look even more realistic....

AHTYA 2.0 – pt.26: Vase Smash Part 1 – RBD Setup

It's time for the next project in our AHTYA Sim Kit! In this episode we are creating a vase smashing simulation using the RBD Bullet Solver. We will go over what goals we want to achieve to make ou...

Reposting missing AHTYA episodes on Patreon

Dear supporters,

as you know you have two alternatives to watch our premium content. You can access our premium content directly here on patreon or you can choose to use our website 2024-09-08 09:26:01 +0000 UTC View Post

ML101 – pt. 03: Transferring training data from Houdini to Python

In this episode we will do more Prep-work for our neural network. This workflow allows you to transfer attributes in a efficient and fast way from Houdini to make it readable in Python. And we will...

ML101 – pt. 02: The Python Install Episode

In the next episode we’re finally jumping into Python to build our neural net with PyTorch. Unfortunately this is not something we can do within Houdini, so it’s time for another “How to inst...

ML101 - pt. 01: DIY Neural Net & Regression Basics

In this episode we link the two main concepts we need to build our muscle deformer: Training a neural net and fitting a function to a dataset. Along the way we build our own simple neural net in Ho...

ML101 – pt. 00: Introduction

This course is about making Machine Learning the next tool in your Houdini toolbox. Just like some problems are best solved with vector maths or Vex or Python, some problems get way easier with ML ...

AHTYA 2.0 – pt. 25: Dissolving Pill Part 2

This is second part of our dissolving pill project. In this video we are adding small air bubbles to our pill and taking a deeper look into the DOP Solver and what makes the workflow with DOPs quit...

AHTYA 2.0 – pt. 24: Dissolving Pill Part 1

In this video we will build the first part of our dissolving pill project you’ve seen in the teaser. We will take a look at the SOP Solver in a simple example to get a feel for the workflow. Then...