Learn the latest tools for AI Animation
Gain greater control & consistency for art generation
Presented by Vladimir Chopine from Geek at Play Studio
With animation, you can communicate your ideas and stories quickly and now artists can engage their audience in a new and exciting way with the latest AI tools. The technology and tools are getting better very quickly and are saving creators a great deal of time when compared to the pre-AI age!
But which are the best tools to use and how do you use them, since there are now a dizzying amount of choices? Vladimir Chopine is a leader on keeping up with new A.I. tools and is noticing which tools are taking up precedence in the market place. He’s constantly testing how you can work with different combinations of A.I. tools together to get some very interesting results!
In this course, we’re focussing on a core set of leading tools that provide greater control over AI generative art output for still art and animation, namely Stable Diffusion and ControlNet.
We are going to show you how to utilise the power of Stable Diffusion and ControlNet for AI Animation and Art so that you can…
- Learn how to install these tools
- Get exact poses for characters
- Solve hand and limb issues
- Train the A.I. on your own references
- Dramatically widen your choices for creating the animations you want
- Create animations quickly
This is for you if…
- You want to learn the latest A.I. tools
- You love to experiment with A.I. art
- You need better control for A.I. art output
- You need coaching on installing and use of these new tools
This is for you if you want to accomplish:
- Finer control over your character art, especially poses
- Faster animation projects
- Better consistency across image generation
This is for you if you are in one of these situations:
- You want to learn the latest A.I. tools
- You love to experiment with A.I. art
- You need better control for A.I. art output
- You need coaching on installing and use of these new tools
Even if you:
- Have not installed Stable Diffusion on your computer
- Feel overwhelmed with the choice of AI tools
- Feel lost in knowing how to work with Stable Diffusion
Vladimir’s latest guide on AI Animation : Text to Video with Stable Diffusion
https://youtu.be/qR1l_2tcjNs
Course Content
Introduction : Why animate?
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- Boost social engagement with your animations
- Tell a story with more impact
- Increase attention with your art
- Make animated backgrounds for your website or blog
Commercialising AI art and Copyright : Current State of Play
Create animations from a still image
How to prepare a still image for animation.
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- Best upscaling tips
- Clean up artefacts
- When you may want to leave artefacts in an image
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Animation elements
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- Considering which parts of an image are best to animate
- Which parts of an image should be locked
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Case studies for animating a still image
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- Animating landscape scenes
- Animating a waterfall
- Animate a sci-fi scene showing visual effects
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Advantages of locally installed Stable Diffusion and how to use it
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- The basic UI
- What each tab or model is for
- Optimisation secrets
- Why the Open Journey model is recommended
How to install Stable Diffusion locally from scratch
(we will encourage you to do this and assist with this before the course begins. See also this guide by Vladimir)
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- Preparation before you install
- First steps
- Which core models to use
- Which extensions to use
- Recommended resources for Stable Diffusion
- Safety : recommended safely trained models to use.
What is ContolNet?
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- Why use ControlNet?
- Amazing examples of use
- What each recommended extension does
- Depth map
- Outline
- Pose
- Details
- Facial Expression
- Chaining ControlNet models together
How to install ControlNet extensions to Stable Diffusion
(we will encourage you to do this and assist with this before the course begins. See this guide by Vladimir)
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- Getting started
- Meaning of settings
- Recommended settings
- First tests
Case studies of using ControlNet
Creating AI Animations from your own still images or videos
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- Preparing the source video
- What kind of video can you use?
- Limits on what video footage you can use
- Recommended frame rate
- Stylisation choices for AI animation : different models
- Which models tend to work better
- About denoising strength
- How to make smooth/flicker free animations
- Sampling steps recommendation
- Frame rates for the animation
- Why interpolation frames can be a problem
- Upscaling the video
- Preparing the source video
Case studies for animations
Animated portraits
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- How to create an animated talking character
- Recommended tools to create
- Place the animated character against a background
What’s Included?
- Six (Eight for VIP members) weeks of 1.5 hour live webinar lessons (see curriculum below)
- Class assignment and reviews during the lessons
- A private forum to continue learning, connecting and sharing in-between sessions
- A VIP level of this coaching group if you wish to go further into depth and gain extra resources.
VIP Membership
- *Additional 2 x 1.5 hour live class : providing further depth and the most up to date developments.
- AI generated art course (8 hours of searchable video content) – previous video course by Vladimir Chopine. Worth $127. See details HERE
*Possible subject to change – but we will likely increase the value of this item.
When does it start?
We will start mid-May, for four weeks (six weeks VIP).
Day and time of the course will be agreed across students from different time zones
What you’ll need for this course
- This will require a relatively powerful P.C. with an NVIDIA graphics card in running Stable Diffusion locally.There are three conditions, the card must be Nvidia, its architecture must date from at least 2016 (with Pascal) and it must have 6 GB of Vram. See more detail on compatibility for your graphics card HERE
- You’ll need to follow steps in running scripts on your PC.
Software required for course
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- Photoshop or GIMP
What makes this course special?
- Vladimir Chopine is an industry leader in keeping up to date with the latest A.I. tools and hand picking the best workflows and options.
- It’s a live class where you can get support and feedback all the way through the course.
- You’ll be learning with like-minded artists
About the Presenter Vladimir Chopine
The founder of Geekatplay and with a background in film production and computer sciences, 3D graphics, photography and composites has long provided a passionate pursuit for Vladimir. Serving 3D digital artists across the world, he has created over 3000 tutorials on AI graphics, VUE, DAZ Studio, Photoshop, Terragen, and many other applications.
Originally from Moscow, he lives with his wife Ami Chopin, who is a professional writer in Salt Lake City, Utah.