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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: 0.215s | 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. liuliu ◴[16 Oct 24 18:09 UTC] No.41861942[source]▶
If you read closer to the benchmark, it seems to be slightly worse than FLUX [dev] on prompt adherence and quality. However, the best is to evaluate the result oneself, and the track-record of PixArt Sigma (from the same author?) is pretty good!