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Comment by schappim | Hacker News Reader

Sub 2 second generations on cell phones, nice! Better FID and CLIP scores than Stable Diffusion v1.5 with 50 steps, great!

So are they gonna release the code, or do they only open-source ad-SDKs[1]?

[1] https://github.com/orgs/Snapchat/repositories

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I'll believe thier hypothesis when I can run the open source code on my iPhone in 2 seconds, doubt it's that fast.

They included a video: https://www.youtube.com/watch?v=zK5PQ3Oj_L8

That demo doesn’t really do anything for me to know if it’s on device or not.

Without source code it could just be calling the OpenAI api.

The phone is in airplane mode

The issue is that it’s a controlled video from the author. I can still get Wi-Fi and Bluetooth in airplane mode so the airplane mode sign isn’t “proof” enough for me to accept the paper conclusions.

I hope it’s real, but posting a YouTube to assuage the “show me the implementation” isn’t going to help with my cynicism.

They clearly are not connected to WiFi. You’re concocting a pretty far fetched theory at this point.

Asking for evidence isn’t a “far fetched theory.”

A video isn’t evidence.

I’m looking forward to more info proving the claims are accurate.

Videos are absolutely evidence. You’re looking for someone to replicate their findings, which is fine, but your basis for believing it to be possibly fraudulent is far-fetched.

Not OP, but I guess "nullius in verba" has gone out of fashion then?

The paper describes the implementation including a detailed breakdown of the optimisation algorithm itself. It's also plausible an iPhone 14 Pro could do it given its memory b/w, ops/s and that it can fit the SD model in RAM.

Hopefully someone will replicate it, and then we’ll know if they were telling the truth.

So you just assume these smart people are all lying ? And not just like hiding details but straight up saying it's on-device but faking it ? If so, I don't understand why that is your reaction.

How do we know the video isn't ai generated? (fnord)

In that video it takes 5 seconds.

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