4 ms·

Running SD v1.5 using one single step is faster than sampling with GigaGAN and you can achieve better coherency in my opinion: https://arxiv.org/abs/2311.09257

by GaggiX 3y ago

Running SD v1.5 using one single step is faster than sampling with GigaGAN and you can achieve better coherency in my opinion: https://arxiv.org/abs/2311.09257 https://arxiv.org/abs/2311.09257 Then it does make more sense to run this on a raspberry pi.

godelski 3y ago
Yeah I'll agree to that. But neither UFOGen nor GigaGAN have released models (I've admitted to being wrong about GigaGAN's checkpoints. In fairness, who the fuck releases 6GBs of generated images? And removes the issues tab from GitHub? Can we agree that's sketchy as fuck?[0]). LAFITE is the only of the 3 with released checkpoints but it's definitely not to the same quality (Nvidia backed down to place it in products and imo a bad move). But it is 75M params compared to the 1B of UFOGen and GGAN. I was able to get a bit better images by some prompt engineering but yeah, classic paper painting a much better picture of their model than it actually is (pun intended). But then again, I got shitty images the first time I used SD so YMMV. There's probably better works out there but honestly my focus is elsewhere and no one's got time to keep on top of and try everything coming out. I'm literally just saying that you can trade quality for inference. Do you disagree? Because I'm not sure why you think I think GANs are better for quality, as I've said the opposite many times. Why are you hyper-focused on quality and thinking I've said GANs do better. This is why we're talking past one another, because you're attributing assumptions to me that I ('m doing my fucking best to clarify that I) don't have. If you think I think GANs produce higher quality images, I assure you that this is from your imagination as I've never stated such and it is not an opinion that I have. Sorry, I said I wouldn't say this again, so last time for real. [0] There's too much sketchy shit going on in ML research right now and honestly, that's why I've been more passionate about trying to get people to think harder and about context. Again, this is about context. (I also really hate this railroading as it stifles community innovation and sweeps important problems under the rug by saying to just rely on large companies for checkpoints. The community doing so much around Stable Diffusion is awesome, but I want to see that around lots of works because there's a lot that can be accelerated by even a hundredth of this community effort)

by GaggiX 3y ago

godelski 3y ago

Yeah I'll agree to that. But neither UFOGen nor GigaGAN have released models (I've admitted to being wrong about GigaGAN's checkpoints. In fairness, who the fuck releases 6GBs of generated images? And removes the issues tab from GitHub? Can we agree that's sketchy as fuck?[0]). LAFITE is the only of the 3 with released checkpoints but it's definitely not to the same quality (Nvidia backed down to place it in products and imo a bad move). But it is 75M params compared to the 1B of UFOGen and GGAN. I was able to get a bit better images by some prompt engineering but yeah, classic paper painting a much better picture of their model than it actually is (pun intended). But then again, I got shitty images the first time I used SD so YMMV. There's probably better works out there but honestly my focus is elsewhere and no one's got time to keep on top of and try everything coming out. I'm literally just saying that you can trade quality for inference. Do you disagree? Because I'm not sure why you think I think GANs are better for quality, as I've said the opposite many times. Why are you hyper-focused on quality and thinking I've said GANs do better. This is why we're talking past one another, because you're attributing assumptions to me that I ('m doing my fucking best to clarify that I) don't have. If you think I think GANs produce higher quality images, I assure you that this is from your imagination as I've never stated such and it is not an opinion that I have. Sorry, I said I wouldn't say this again, so last time for real. [0] There's too much sketchy shit going on in ML research right now and honestly, that's why I've been more passionate about trying to get people to think harder and about context. Again, this is about context. (I also really hate this railroading as it stifles community innovation and sweeps important problems under the rug by saying to just rely on large companies for checkpoints. The community doing so much around Stable Diffusion is awesome, but I want to see that around lots of works because there's a lot that can be accelerated by even a hundredth of this community effort)