4 ms·
It is hard to tell since you don't provide exact numbers. I've seen SD generating 50 samples 512x512 image on 2080 Ti in 8 seconds, but it is almost certain tha
by terafo 4y ago
It is hard to tell since you don't provide exact numbers. I've seen SD generating 50 samples 512x512 image on 2080 Ti in 8 seconds, but it is almost certain that there is a faster version out there.
- jeffbee 4y agoA 2080 Ti, which requires a supporting platform, seems like a really bad deal compared to a 16GB M1, which you can get factory refurbished for $1000.
- lostmsu 4y agoStable Diffusion is but 1 project. M1 gonna be a huge bottleneck for anything that takes time. That "Ultra" for $4k is about 5 times slower than a single 3090. It will be nearly 10 times slower than 4090.
- wongarsu 4y agoA used 2080TI goes for around $500, with the remaining $500 I can get a computer with a 6x3.6GHz Ryzen 5 and 16GB RAM. Which is something completely different than a Macbook Air, so that's kind of an apples to oranges comparison, but I don't see the big price advantage. And presumably GP already has the "supporting platform", since they are upgrading, making the 2080TI upgrade half the price of a switch to an m1?
- terafo 4y agoIt is VASTLY slower than 2080Ti. There is no competition at all. I don't know exact performance numbers, but I would estimate that M1 takes more than a minute to generate one image. UPD: asked a friend to generate image on m1 with diffusion bee. It took 4 minutes 30 seconds to generate one 25 sample image. It is not even close and much worse than I thought.
- jeffbee 4y agoMust have been an 8GB model. On my 16GB it takes a few seconds.
- capableweb 4y agoCould you provide the exact settings you use for generating the image? Settings matter a lot in terms of it/s. Also please share the exact it/s you're getting :)
- terafo 4y agoIt was on 16GB model. Can you provide details how do you run them and how fast it can run.
- wongarsu 4y agoI just tried it, on my 2080ti I get a 50 sample 512x512 image in 7.0 to 7.5 seconds (using PLMS, DDIM or k_lms). Or at 256x256 with 8-image batches about 1.15 seconds per image.