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0.2.0 Released. #77
Description
Hello everyone,
Version 0.2.0 has been released.
Can people comment on how much time it is taking to generate one image for both versions. Also please mention your system specs and OS version. Thanks.
Link to 0.1.0: https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/releases/download/0.1.0/DiffusionBee-0.1.0-arm64.dmg
Link to 0.2.0: https://github.com/divamgupta/diffusionbee-stable-diffusion-ui/releases/download/0.2.0/DiffusionBee-0.2.0-arm64.dmg
Activity
xstast24 commentedon Sep 21, 2022
Hi, I would like to test it. Where are the downloaded weights/models located, please? I want to manually backup them on my local drive, so I can easily switch between v0.1/v0.2 without the need for a long download every time. :-) Good job btw!
Obsouleet commentedon Sep 21, 2022
The generation time seems to be nearly the same for me - but I don't get any useful pictures with 0.2.0. Everytime such greyish garbage.
divamgupta commentedon Sep 21, 2022
@Obsouleet what are your system specs and OS version?
divamgupta commentedon Sep 21, 2022
@xstast24 the weights are stored in ~/.diffusionbee/downloads .
Version 0.2.0 wont remove the weights for v0.1.0.
Obsouleet commentedon Sep 21, 2022
Studio M1 Max / 32 GB RAM / macOS Ventura
Obsouleet commentedon Sep 21, 2022
I'm sure these errors have smth to do with my missing outputs:
interhive commentedon Sep 21, 2022
I have similar errors to @Obsouleet, but I can generate images. The generation time seems a bit longer, but I am going to test between 1.0 and 2.0 to make sure.
M1 Max / 32 GB RAM / MacOS Monterey 12.6
edit:
"a giant bear with antlers nightmare, art by Gerhard Richter" w/ standard options
jturnerpdx commentedon Sep 21, 2022
Images do seem to be generating faster. I did notice in the logs the same tensor flow issues above
divamgupta commentedon Sep 21, 2022
Thanks for the numbers. What are your system specs?
divamgupta commentedon Sep 21, 2022
@dseddah Thanks for the numbers. What are your system specs?
Also deleted your comment by mistake.
dseddah commentedon Sep 21, 2022
Oh, sorry I forgot :)
Macbook pro 16''. M1 max. 64gb of ram. 32 cores GPU. MacBookPro18,2. Also I just updated the mac to 12.6 today
The system is quite busy tbh. In all other experiments I've made and measured with the 0.1.0 version, it took 14s to generate an image.
sebamacchia commentedon Sep 21, 2022
it's possible that it does not take long prompts, more than 50 words?
8 remaining items
mehaukulyk commentedon Sep 22, 2022
Hi , works like a dream for me , Mac Studio Ultra with 128 gb ram and 4 tb hd, I like the new version ;-) good to be able to render 14 images in one shot, look forward to having image to image functionality, when do you think this will be implemented ? also can you explain how to use the paste and match style function , I can't find any readme doc that explains this. also is it possible to save all 14 renders with one save action? Thank you so much for putting this together , and for all your hard work to make it easy for a non tech person like me ;-) brilliant work ! lots of love and kind regards , mehau kulyk
ioma8 commentedon Sep 22, 2022
Version 0.20 definitely slower on MacBook Pro M1 32GB RAM than version 0.10
daaain commentedon Sep 22, 2022
Just to offer another data point, I'm getting decent speed out of this new version:
jjsanderson commentedon Sep 22, 2022
M1 MacBook Pro (13" base M1, 8/8/16 CPU/GPU/Neural cores), 16Gb RAM, macOS Monterey 12.6. A couple of quick tests:
Diffusion Bee 0.1, run time ~1:30
Diffusion Bee 0.2, run time ~1:00
Big thanks for your work on this!
murphy2712 commentedon Sep 23, 2022
Hello,
M1 MacBook Pro, 10 cores, 32Gb RAM, Monterey 12.6.
Default settings, except 50 steps.
Diffusion Bee 0.1.0 ~1:10
Diffusion Bee 0.2.1 ~0:52
However I noticed that v0.2 doesn't run with big queries. Like this one:
"ethereal glowing mystery portal to another world, seen by wanderer girl in middle of woods, magic colors, fantasy, trending on artstation, artgerm, cgsociety, greg rutkowski, peter mobrhacher, cinematic, elegant, intricate, ilya kuvshinov, cushart krentz, alphonse mucha, unreal engine, very smooth, high detail, 4 k, concept art, brush strokes, pixiv art, sharp focus, raging dynamic sky, anime art"
Thanks a lot for this local and easy to use app!
dseddah commentedon Sep 23, 2022
that's a bit slow, no ?
jjsanderson commentedon Sep 23, 2022
Looks about right against @murphy2712's figures from an M1 Pro, I'd have thought. But other than that I've no idea. :-)
dseddah commentedon Sep 23, 2022
i'm having between 14s and 20s on a macbook pro (M1 max, 64gb of ram). Maybe the ram is the limitation ?
jjsanderson commentedon Sep 23, 2022
M1 Max has either 24 or 32 GPU cores, I think. So you have 3-4x the CPU compute power of my baseline M1… and it sounds like you have 3-4x the performance I'm seeing. Which is quite impressively linear scaling, to be honest – doubtless the extra CPU and RAM (and memory bandwidth) help achieve that.
dseddah commentedon Sep 23, 2022
Yeah, you're right. I have 32 gpu cores. I had no idea these beasts were so powerful. I wonder when the neural engine will be usable by pytorch or tensorflow..
murphy2712 commentedon Sep 23, 2022
How many steps did you use in the settings? 25 is the default, but for my benchs I use 50 (best quality).
dseddah commentedon Sep 23, 2022
I didn't change any settings so it might be 25.
z-stevens commentedon Sep 23, 2022
M1 Ultra 20 CPU cores and 48 GPU cores, 64GB ram.
13 seconds per @ 512px @ 25 steps and 7 Guidance Scale
40 seconds per @ 768px @ 25 Steps and 4 Guidance Scale
This is while doing other things on computer, using Zoom etc. so not a full dedicated run.
mxcl commentedon Nov 11, 2022
Since 1.5 has been released, maybe unpin this ticket?