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4 months ago Documentary
How do AI models actually turn a text prompt into a cohesive, high-resolution video? In this episode of Release Notes Explained, we take a look at the technical…
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19 Comments
Very well explained!<br>As an engineer, though, the line “I read the paper so that you don’t have to” makes me feel a little dumb.😅
I think I understand the forward diffusion process but not the reverse diffusion. Interesting pod cast dealing with complex process in such a small time period. Encourages us to read more about it. Thanks.
Amazing Explanation<br><br><a href="UCkszU2WH9gy1mb0dV-11UJg/JAJ1XpGpJYnW8wTupZu4Cw"></a>
thanks. Music generation.
it is so crazy how it all works 🤯
Amo este contenido.<br>Gracias❤
The quality of the autoencoder probably plays a big part in overall video quality. Its ability to efficiently encode and decode the pixels properly seems just as important as the diffusion trf's job.
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What about latent-free methods like pMF and JiT?
plot twist this video is ai generated 😂
Dame no wonder sora was expensive, excellent explanation
very well explained for 12 min. bravo!
Great video. It is just insane that this actually works!
amazing video, very well explained!<br><br>you could start a whole explainer series in this type of format for various topics ^_^
thanks .. ✨
this is soo helpful
❤
This was really cool and descriptive.
19 Comments