4 ms·
What kind of GPU do you have? It takes several minutes to produce an image on my 1070.
by MichaelDickens 4y ago
What kind of GPU do you have? It takes several minutes to produce an image on my 1070.
- stingraycharles 4y agoA 1070 isn’t very powerful for ML compared to more recent GPUs, so several minutes sounds about right.
- elaus 4y agoTakes 3 minutes (for a prompt resulting in a set of 4 images) on my 1080 as well. Really astonished that it takes GP about the same time using just a CPU. Seems like the older generation of GPUs isn't much better than CPUs in regards to ML stuff.
- krisoft 4y ago> Really astonished that it takes GP about the same time using just a CPU. GP talks about generating a single image while you talk about generating 4.
- SirYandi 4y agoTo add another data point, my GTX1080 takes ~60 sec to generate a pair of 500x500 images using txt2img. Haven't tried img2img yet as the UI package I went with is a bit buggy with it
- anhner 4y agoalso on a 1070, I can generate an image in ~15 seconds, surely you're doing something wrong.
- freeqaz 4y agoWhat settings are you using it the people with 1080s above you are taking 3 minutes?
- anhner 4y agoI'm using lstein's repository which loads the models and keeps them in memory. Then, for some diffusers 16 steps is enough to come up with a usable image (and using more steps will only add details, most of the time won't change much). This is for the initial "exploration" step of the process. Once I like an image I typically play with the settings, then in the final step run with a large number of steps (and maybe even use upscaling). So, default 512x512 size, 16 steps and default for the rest of the settings (I believe 7.5 scale, 0.75 strength). Having said that, I also tried the official Docker image for stable diffusion and with the default values it generated an image in about 40 seconds.
- deleted 4y ago[deleted]