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There's also a fork that requires a lot less VRAM. I was able to get this working with an Nvidia GTX 1070. https://github.com/basujindal/stable-diffusion https

There's also a fork that requires a lot less VRAM. I was able to get this working with an Nvidia GTX 1070. https://github.com/basujindal/stable-diffusion https://github.com/basujindal/stable-diffusion You'd clone the fork, then download Stability AI's checkpoint, sd-v1-4.ckpt, from https://huggingface.co/CompVis/stable-diffusion-v-1-4-original https://huggingface.co/CompVis/stable-diffusion-v-1-4-origin... Follow the instructions in the forked repo, and you should be good to go in a manner of minutes.

acoard 4y ago
The only issue I had was WSL 2 was not using my GPU, so obviously it failed. Couldn't get it working on Windows either, failed at installing dependencies. I'm thinking of dual-booting Linux just to try out stable-diffusion. I normally dev on Linux but don't do GPU work, only my Windows gaming PC has the horsepower to run stable-diffusion and unfortunately I couldn't get it working on Windows. Shame cause I'd love to play around with it! Does anyone have any tips?
- prophesi 4y ago
  Hm, what issues did you come across on Windows? I have it running on both a Windows PC and a Fedora PC. I uninstalled python, then installed the full installation of Anaconda. Then I followed the "Requirements" section of the readme and I was good to go. Edit: Just noticed they removed the instructions from the readme for some reason. The requirements section can be found in this diff: https://github.com/basujindal/stable-diffusion/commit/487a0f46f6d4b82a7a7d9704e6800ccdde02cd3e https://github.com/basujindal/stable-diffusion/commit/487a0f...
  - acoard 4y ago
    Thanks for the input. I can return with error logs later, but essentially when doing the `conda create env -f environment.yaml` line it would error out partway through. It would download dependencies for a few minutes then fail on one. I tried multiple times and got the same error. I just assumed it was an issue of a dependency not properly supporting windows. Are you saying you coulda `conda create env -f environment.yaml` fine? This was my first conda install on Windows, so perhaps I missed something else.
    - cercatrova 4y ago
      Yes it works fine for me on Windows with conda. conda env create --name envname -f environments.yml Try reinstalling conda. Do you have a firewall on or anything like that?
    - prophesi 4y ago
      Yeah, my Windows machine was able to run that command just fine. Maybe one of the newer commits broke something? I think I cloned it when b91816301fa62df239a45336b381ee918ff52b2a was the latest, but I'll have to check when I get home.
- mmastrac 4y ago
  Try out a Ubuntu live image. You can probably get set up with everything without even having to touch your HDD! I just don't know how the native NVidia drivers work in that case, but I think you can get them installed and restart the window manager, even w/a a liveCD.
  - acoard 4y ago
    That's a really good idea than finding another HD to install. Thanks.
- Thespian2 4y ago
  Same. I've spent a number of nights trying variations on the install instructions. Got the windows CUDA drivers (older graphics card), but no matter what I try, conda, or WSL, pytorch refuses to see the CUDA available.
remram 4y ago
Anyone built a Docker image for this? I don't want to duplicate efforts.
colordrops 4y ago
Does it make images of lesser quality or does it just take longer for the same quality?
neurostimulant 4y ago
I'm able to make it works on my GTX 1650 LP. Had to use full precision though or else it generates green images. I also had to reduce the resolution to 320x320 and close every applications that uses vram because the GPU only has 4GB of vram. Took about 2 minutes to generate a single image with ddim sampling steps set to 50.

acoard 4y ago

The only issue I had was WSL 2 was not using my GPU, so obviously it failed. Couldn't get it working on Windows either, failed at installing dependencies. I'm thinking of dual-booting Linux just to try out stable-diffusion. I normally dev on Linux but don't do GPU work, only my Windows gaming PC has the horsepower to run stable-diffusion and unfortunately I couldn't get it working on Windows. Shame cause I'd love to play around with it! Does anyone have any tips?

prophesi 4y ago
Hm, what issues did you come across on Windows? I have it running on both a Windows PC and a Fedora PC. I uninstalled python, then installed the full installation of Anaconda. Then I followed the "Requirements" section of the readme and I was good to go. Edit: Just noticed they removed the instructions from the readme for some reason. The requirements section can be found in this diff: https://github.com/basujindal/stable-diffusion/commit/487a0f46f6d4b82a7a7d9704e6800ccdde02cd3e https://github.com/basujindal/stable-diffusion/commit/487a0f...
- acoard 4y ago
  Thanks for the input. I can return with error logs later, but essentially when doing the `conda create env -f environment.yaml` line it would error out partway through. It would download dependencies for a few minutes then fail on one. I tried multiple times and got the same error. I just assumed it was an issue of a dependency not properly supporting windows. Are you saying you coulda `conda create env -f environment.yaml` fine? This was my first conda install on Windows, so perhaps I missed something else.
  - cercatrova 4y ago
    Yes it works fine for me on Windows with conda. conda env create --name envname -f environments.yml Try reinstalling conda. Do you have a firewall on or anything like that?
  - prophesi 4y ago
    Yeah, my Windows machine was able to run that command just fine. Maybe one of the newer commits broke something? I think I cloned it when b91816301fa62df239a45336b381ee918ff52b2a was the latest, but I'll have to check when I get home.
mmastrac 4y ago
Try out a Ubuntu live image. You can probably get set up with everything without even having to touch your HDD! I just don't know how the native NVidia drivers work in that case, but I think you can get them installed and restart the window manager, even w/a a liveCD.
- acoard 4y ago
  That's a really good idea than finding another HD to install. Thanks.
Thespian2 4y ago
Same. I've spent a number of nights trying variations on the install instructions. Got the windows CUDA drivers (older graphics card), but no matter what I try, conda, or WSL, pytorch refuses to see the CUDA available.

remram 4y ago

Anyone built a Docker image for this? I don't want to duplicate efforts.

colordrops 4y ago

Does it make images of lesser quality or does it just take longer for the same quality?

neurostimulant 4y ago

I'm able to make it works on my GTX 1650 LP. Had to use full precision though or else it generates green images. I also had to reduce the resolution to 320x320 and close every applications that uses vram because the GPU only has 4GB of vram. Took about 2 minutes to generate a single image with ddim sampling steps set to 50.