As you know, I've been working on this animation for several days. It brings together everything I've learned in the last year about Generative AI. You can watch it on YouTube!
(Midjourney + Pika/Runway + CapCut + Good Vibes).
Video & tutorial 🧵👇
Here you have. IMPORTANT: don't forget to activate the highest quality on YouTube 😉 Hope you enjoy it and let me know your impressions, please!
I know you'd like to know which tools I've used, so here they are in detail, along with some of my free tutorials that encompass all the knowledge you need to create an animation like this.
You can do it too!!! And I truly hope to see more and more people creating things!
Tools used:
🎨 Midjourney & Stable Diffusion
🎦 Runway & Pika
🎬 CapCut
🎵 Pixabay
🦄 A custom enhancing script
Tutorial 1: Consistency of Characters, Objects, and Styles
If you would like me to continue sharing similar tutorials/videos, an RT on the first tweet of the thread will encourage me to keep doing so. Thanks! 😉👇
I haven't written A SINGLE line of code. ZERO. NIENTE.
#GPT can be stubborn, but I'll explain how we can convince it to handle the algorithms, the logic of the pieces, and absolutely everything else.
🧵 Thread
First and foremost, have a go at the Tetris game I've managed to create using GPT-4, and that you'll also be able to do once you complete the tutorial!
Controls:
(← ↓ →) Movement
(↑) Rotate
(Space) Drop piece.
Many people don't realize they can retrieve the SEED NUMBER for each image generated on Midjourney + everything that can be done with it. Trust me, it's a game-changer for diving into AI explorations.
Let's go! 🧵👇🏼
#midjourney
🚨 Beware! This is an ADVANCED Midjourney tutorial. Only for experienced argonauts. I don't know of any other MJ-focused creator who has covered this in such depth as you'll see in this tutorial. If you find one, send me the link, I'd love to learn even more!
First things first: what are seed numbers?
Diffusion models (like MJ) use a random seed number for each generation to create a field of visual noise (like TV static) as a starting point to generate the initial image grids.
The researchers have introduced 3 key elements that allow the system to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time novel-view synthesis at 1080p resolution 🤯
🔴 PERFUSION: a generative AI model from NVIDIA that fits on a floppy disk 💾
It takes up just 100KB. Yes, you heard it right, much less than any picture you take with your mobile phone! Why is this revolutionary and can change everything?
I'll tell you 🧵👇
Perfusion is a really lightweight "text-to-image" model (100KB) that also trains in just 4 minutes.