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I think it’s great the high end keeps getting bigger and faster. Nvidia has primarily been associated with gaming. With Machine Learning that’s starting to cha

I think it’s great the high end keeps getting bigger and faster. Nvidia has primarily been associated with gaming. With Machine Learning that’s starting to change. With tools like Stable Diffusion every single artist is going to want a $1600 GPU and honestly that’s a bargain for them! I think it’d be sweet if you could spend $100 to $10,000 and get a linear increases in cores, ram, and performance. That’s not how it works. But philosophically I have no problem with it. Hopefully AMD steps up and brings some real competition.

ChuckNorris89 4y ago
>With tools like Stable Diffusion every single artist is going to want a $1600 GPU and honestly that’s a bargain for them! Most artists who are not tech savvy to spin up their local Stable diffusion instances are probably going to pay and use one of the online services like DALL-E 2 or something.
- fxtentacle 4y ago
  Plus if there's enough demand for running it locally, someone will make a shiny GUI to bundle with AMD cards.
- jnwatson 4y ago
  There are already nice GUIs and plugins. It really is plug and play now.
- forrestthewoods 4y ago
  It’s already been turned into single-click installers and Photoshop plugins. Packaging Python is a dumpster fire of local environment complexity. But this is an extraordinarily solvable problem. I won’t call it solved today. But we have Proof of Life of solutions.
  - int_19h 4y ago
    If by "packaging" Python you mean vendoring it, it's very easy on any platform that I can think of.
    - forrestthewoods 4y ago
      I mean shipping people a .zip that has a simple executable that can be reliably run by end users zero external environment variable bullshit or dependencies. No Anaconda, Pip, or any of that non-sense. No fetching of dependencies either. Dead simple turn key usage. And yeah it’s not super duper hard. It’s just not how Python projects are structured by default. Simple Diffusion isn’t setup that way. Some random person on the internet spent some time to package it up nicely and in exchange they hit #1 on HN. Possibly more than once! https://xkcd.com/1987/ https://xkcd.com/1987/
      - plonk 4y ago
        My easy method to make such a self-contained environment: - download the Python embedded environment, - modify `pythonXX.pth` to `import site`, - install pip in the environment, - install all dependencies with pip, - install your code as an executable module (with a `__main__.py` file). You can ship this as a ZIP file and simply run `./python.exe -m your_module arg1 arg2 arg3...`
- novok 4y ago
  If they already have an m1 pro or max macbook pro it works well enough.

ChuckNorris89 4y ago

>With tools like Stable Diffusion every single artist is going to want a $1600 GPU and honestly that’s a bargain for them! Most artists who are not tech savvy to spin up their local Stable diffusion instances are probably going to pay and use one of the online services like DALL-E 2 or something.

fxtentacle 4y ago
Plus if there's enough demand for running it locally, someone will make a shiny GUI to bundle with AMD cards.
jnwatson 4y ago
There are already nice GUIs and plugins. It really is plug and play now.
forrestthewoods 4y ago
It’s already been turned into single-click installers and Photoshop plugins. Packaging Python is a dumpster fire of local environment complexity. But this is an extraordinarily solvable problem. I won’t call it solved today. But we have Proof of Life of solutions.
- int_19h 4y ago
  If by "packaging" Python you mean vendoring it, it's very easy on any platform that I can think of.
  - forrestthewoods 4y ago
    I mean shipping people a .zip that has a simple executable that can be reliably run by end users zero external environment variable bullshit or dependencies. No Anaconda, Pip, or any of that non-sense. No fetching of dependencies either. Dead simple turn key usage. And yeah it’s not super duper hard. It’s just not how Python projects are structured by default. Simple Diffusion isn’t setup that way. Some random person on the internet spent some time to package it up nicely and in exchange they hit #1 on HN. Possibly more than once! https://xkcd.com/1987/ https://xkcd.com/1987/
    - plonk 4y ago
      My easy method to make such a self-contained environment: - download the Python embedded environment, - modify `pythonXX.pth` to `import site`, - install pip in the environment, - install all dependencies with pip, - install your code as an executable module (with a `__main__.py` file). You can ship this as a ZIP file and simply run `./python.exe -m your_module arg1 arg2 arg3...`
novok 4y ago
If they already have an m1 pro or max macbook pro it works well enough.