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Vanilla SD turbo runs at ~1.5fps on my M1 Max with the diffusers lib. I wonder how close to realtime it can get? Maybe CoreML compilation, 6bits palettisation, TAESD and a few more tricks like RCFG from StreamDiffusion can push it to ~20fps?

Cyril Diagne

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38,762 görüntüleme • 2 yıl önce •via X (Twitter)

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Cyril Diagne profil fotoğrafı

Cyril Diagne2 yıl önce

Didn't have much time to dig in during the holidays, but TAESD & CoreML compilation gets it to ~2.5fps. Still ~260ms for 1 forward pass of the 1.8k unet ops on M1. Anyway, that's it for now - Happy new year y'all! 🥂

Rob Miles (in SF) profil fotoğrafı

Rob Miles (in SF)2 yıl önce

A quick win for that specific use case is running face detection and only generating the head, at proportional resolution. Your head is a small part of the frame so you could get a big speedup

Cyril Diagne profil fotoğrafı

Cyril Diagne2 yıl önce

Makes sense! It would also reduce the amount of flicker

Kyle McDonald profil fotoğrafı

Kyle McDonald2 yıl önce

on a 4090 i got down to 37ms with TAESD and stable-fast, i suspect an m1 max could do 50-60ms if you are able to reimplement all the stable-fast tricks, and beyond if you can do RCFG

Cyril Diagne profil fotoğrafı

Cyril Diagne2 yıl önce

Oh nice! I was assuming that stable-fast gains were mostly due to cuda related optimizations but there’s a lot more in fact

أمين رعيان profil fotoğrafı

أمين رعيان2 yıl önce

100fps awaits

Gidi Shperber profil fotoğrafı

Gidi Shperber2 yıl önce

I did a small experiment with RTX 3090 - the speed is round 20fps, but result is a bit flaky

Ivan Fioravanti ᯅ profil fotoğrafı

Ivan Fioravanti ᯅ2 yıl önce

Wow oh wow! I wanna try this one on M2 Ultra!!! Any hints on where to start?

Cyril Diagne profil fotoğrafı

Cyril Diagne2 yıl önce

Sure, I'm just using the diffusers lib with the mps device: on this model: Curious about the perfs on M2 Ultra

Pierre Boudoin profil fotoğrafı

Pierre Boudoin2 yıl önce

With some coreML optimisation you will gain some FPS for sure

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