![]() By getting into the habit of activating the environment this problem goes away. These all say "pip install xxx" and users will inevitably forget they need to change the path to make that work for their environment. Plus at least one of the issues I see here is because people disregarded the instructions and used Python 3.9 even though it says to use 3.10 because the code assumes it's running under 3.10.įirstly, non-experiences Python users (the kind who need recipes to follow) will also blindly follow installation instructions on websites. This "look Python bad!!" stuff has some merit (if only historical), but it mostly amounts to FUD and does a big disservice to the people who have worked hard over the past few years to get everything fixed up. Meanwhile I can put together a Python package in my sleep that works perfectly on pretty much any system, but I don't know a damn thing about Autotools and would probably make a total mess if I tried use it. They are busy doing ML research and waiting to be given a recipe to follow. That, and ML researchers can't also be expected to be good at everything. People also tend to forget that these ML packages are ridiculously complicated, and have a lot of dependencies not just on other libraries but on particularities of your system. Exciting!Īs if compiling any given C program wasn't also a crap shoot. I've reached the limits of my knowledge on this, but will following closely as new PRs are merged in over the coming days. This is apparently a known issue and a fix is being tested. Sometimes it rendered images just as a black canvas, other times it worked. ![]() It kept throwing the "leaked semaphor objects" error someone else reported (even when rendering at 64圆4). ![]() ![]() Not sure if that's a coincidence, or if they've included extra optimisations. Running txt2img.py from lstein's repo seems to run about 30% faster than OP's. It offers better UX for interacting with Stable Diffusion, and seems to be a promising project. ĮDIT 2: After playing around with this repo, I've found: Follow the main installation instructions here. Install the other build requirements referenced in OP's setup:ģ. Install `conda`, if you don't already have it:Ģ. `rm` the existing `stable-diffusion` repo (assuming you followed OP's original setup)ġ. Giving it a try now.ĮDIT: Got it working, with a couple of pre-requisite steps:Ġ. Brilliant, thank you! I just got OP's setup working, but this seems much more user-friendly. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |