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I’ve been tinkering with stable diffusion lately and this has been a rude introduction to python. Coming from .net (nuget) and JavaScript (npm), it’s baffling

I’ve been tinkering with stable diffusion lately and this has been a rude introduction to python. Coming from .net (nuget) and JavaScript (npm), it’s baffling that there isn’t an established solution for python. It looks to me like people are trying, but different libraries use different techniques. To a newcomer this is confusing.

timtom39 4y ago
ML/AI is the deep end of python dependencies. Lots of hardware specific requirements (e.g. CUDA, cuDNN, AVX2 TensorFlow binaries, etc). A typical python web application is a lot simpler.
- shireboy 4y ago
  To be fair, this is a big part of the problem- I’m doing this on a m1 mac, PLUS am new to python. Fortunately there are some good guides. Still, this is a solvable problem in other package managers.
antod 4y ago
>I’ve been tinkering with stable diffusion lately and this has been a rude introduction to python. Coming from .net (nuget) and JavaScript (npm), it’s baffling that there isn’t an established solution for python. Python has had multiple legacy solutions going back a long time before nuget and npm existed, and before central registries of dependencies. Every new solution has to cope with all that compatibility/transitional baggage. Also a bunch of usecases .NET or JS never really had to deal much with - eg being a core system language for Linux distros, and supporting cross platform installs back in the download and run something days. The scope of areas Python gets used in means its packaging is pulled in more directions than most other languages who mostly stick to a main niche. So the history and surface area of problems to solve in Python packaging is larger than what most other languages have had to deal with. It also takes years for the many 3rd party tools to try out new approaches, gain traction and then slowly get their best ideas synthesized and adapted into the much more conservative core Python stdlib. Not saying it is great, just laying out some of the reasons it is what it is.

timtom39 4y ago

ML/AI is the deep end of python dependencies. Lots of hardware specific requirements (e.g. CUDA, cuDNN, AVX2 TensorFlow binaries, etc). A typical python web application is a lot simpler.

shireboy 4y ago
To be fair, this is a big part of the problem- I’m doing this on a m1 mac, PLUS am new to python. Fortunately there are some good guides. Still, this is a solvable problem in other package managers.

antod 4y ago

>I’ve been tinkering with stable diffusion lately and this has been a rude introduction to python. Coming from .net (nuget) and JavaScript (npm), it’s baffling that there isn’t an established solution for python. Python has had multiple legacy solutions going back a long time before nuget and npm existed, and before central registries of dependencies. Every new solution has to cope with all that compatibility/transitional baggage. Also a bunch of usecases .NET or JS never really had to deal much with - eg being a core system language for Linux distros, and supporting cross platform installs back in the download and run something days. The scope of areas Python gets used in means its packaging is pulled in more directions than most other languages who mostly stick to a main niche. So the history and surface area of problems to solve in Python packaging is larger than what most other languages have had to deal with. It also takes years for the many 3rd party tools to try out new approaches, gain traction and then slowly get their best ideas synthesized and adapted into the much more conservative core Python stdlib. Not saying it is great, just laying out some of the reasons it is what it is.