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Efficient high-resolution image synthesis with linear diffusion transformer

(nvlabs.github.io)
220 points Vt71fcAqt7 | 1 comments | 16 Oct 24 14:56 UTC | HN request time: 0.001s | source
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cube2222 ◴[16 Oct 24 17:58 UTC] No.41861846[source]▶
This looks like quite a huge breakthrough, unless I'm missing something?

~25x faster performance than Flux-dev, while offering comparable quality in benchmarks. And visually the examples (surely cherry-picked, but still) look great!

Especially since with GenAI the best way to get good results is to just generate a large amount of them and pick the best (imo). Performance like this will make that much easier/faster/cheaper.

Code is unfortunately "(Coming soon)" for now. Can't wait to play with it!

replies(4): >>41861942 #>>41863225 #>>41864501 #>>41865018 #
1. Lerc ◴[16 Oct 24 22:30 UTC] No.41864501[source]▶
>This looks like quite a huge breakthrough, unless I'm missing something?

Looking at their methodology, it seems like it's more of an accumulation of existing good ideas into the one model.

If it performs as well as they say, perhaps you can say the breakthrough is discovering just how much can be gained by combining recent advances.

It's sitting on just the edge of sounding too good to be true to me. I will certainly be pleased if it holds up to scrutiny.