Hacker News Reader

Comment by haolu7 | Hacker News Reader

AITemplate-PyTorch Stable Diffusion is the fastest stable diffusion inference solution by pushing image generation below one second on A100 (batch 1: 0.7s / 25 steps, 1.3s / 50 steps; batch 3: 1.6s / 25 steps, per image 0.55s; batch 16 7.9s / 25 steps, per image 0.49s) for the first time, 2.57X faster than Keras' XLA-based GPU compilation solution.

More benchmark numbers and repro at: https://github.com/facebookincubator/AITemplate/tree/main/ex...

View on HN

Wow. Considering that with the better samplers you can reduce steps to 10-15, this is getting close to near-instant results.

One or two more optimizations and we're gonna have live-update results.

This lists "OOM" for PyTorch on a RTX 3080-10GB, but I believe people have optimized the PyTorch SD model to run on even 6GiB GPUs.

Would AITemplate be able to run with those constraints?

RTX 3080-10GB should work. You could check https://github.com/facebookincubator/AITemplate/tree/main/ex..., and https://www.reddit.com/r/StableDiffusion/comments/xv7m89/met....

Or if you count in another way. In one second, how many pictures it will be able to generate, with these parameters. It could be 1.05, 1.1, or say 1.5 or even 2 pictures. Thank you very much for your post! I will be very grateful for the answer!

Can you please eloborate, how many milliseconds does it take to generate 1 image with these wonderful improvements? I will be very grateful for your answer! Thank you very much!

Do I get it right, it takes 0.55 second or 0.49 second to generate an image depending on the batch?

Thank you so much for your post! I would be very grateful for the response!

Yes this is correct. batch 16 7.9s / 25 steps, per image 0.49s: it generates 16 images for each prompt within 7.9s, so it's 0.49s per image.

Thank you indeed, my friend!

One more question, if you don't mind. 1 image is generated in 0.7 seconds (25 steps ) and the same single image with 50 steps will be generated in 1.3 seconds. So it's much cheaper to generate more images for the same promt. Am I right or am I missing something ? Thanks in advance for your answer.

P.S. Though it should be 1.4 seconds. 0.7*2=14.If you think twice the speps, twice the time.

Reply on news.ycombinator.com