The Fascinating Evolution of AI Video Generators

Yes, a deep dive into diffusion transformers for one of the next videos would be awesome!

You can try out Luma AI's Dream Machine here! https://luma.1stcollab.com/bycloudai I am really good at having great timing. MovieGen came out when I nearly finished the video. I'm sad. So here's a quick definition of DiT: A diffusion transformer (DiT) is a model that combines elements of diffusion models and transformers to generate data like image synthesis, audio generation, or text generation. Diffusion models are a class of probabilistic generative models that create data by iteratively denoising a latent variable, which starts from pure noise and is gradually transformed into a coherent sample. Transformers on the other hand, are neural network architectures known for their ability to model long-range dependencies in data, primarily through self-attention mechanisms. You could ultimately say that, a diffusion transformer is just a transformer with the goal of denoising. Yum. Here's MovieGen's paper: https://arxiv.org/abs/2410.13720 it contains a better run down to crafting the latest near SoTA video generation

A video on Diffusion Transformers = 😊👍

De-noised bread, got it!

Yes please, a video on diffusion transformers! Great channel <3

We definitely need a dedicated video.

Hey, bycloud, even if you fell off, I won't stop watching your nerdy videos because they're cool ❤

Hey man, really appreciate your humor and memes, makes learning ML a lot more fun. Always looking forward to more!

Baking Bread = great metaphor

That bread analogy was 100% chatgpt