Earlier quoted context omitted.
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.
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
31–40 of 54 posts
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#32Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#33Earlier quoted context omitted.
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.
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#34Earlier quoted context omitted.
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.
A video isn’t evidence.
I’m looking forward to more info proving the claims are accurate.
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#35It seems a bit disingenuous to compare with Stable Diffusion taking 50 steps, though; with the newer schedulers you can consistently get great images in 12 steps of diffusion, probably less if you're a bit careful with exact parameters/model fine tuning choice.
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#36Earlier quoted context omitted.
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.
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#37Why focus on mobile? Near real-time rendering while entering a prompt on desktop would be even more amazing! Imagine e.g. UI sliders for adding weight to multi-prompts like "night time" (ideally sliding from [day time]:1, [night time]:0 to both zero, to all night with 0,1).
- It's significantly easier to monetize mobile apps (both with ads and in-app purchases) - Open projects already dominate the desktop space - There are a growing number of younger people who aren't really computer literate, or otherwise just use their phone as their primary computing device. - Phones go into social situations where desktops/laptops don't.
Re: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices Within Two Seconds
#38I've seen at least a couple of papers before with similar claims, and still nothing I can run on my phone, so I'm not holding my breath yet. It seems a bit disingenuous to compare with Stable Diffusion taking 50 steps, though; with the newer schedulers you can consistently get great images in 12 steps of diffusion, probably less if you're a bit careful with exact parameters/model fine tuning choice.