Is it worth buying a used M1 Mac for stable diffusion when you have iPad M1 but Intel Mac

• ml-stable-diffusion

  45 16,111 7.4 Python

  Stable Diffusion with Core ML on Apple Silicon

  

Stable Diffusion runs great on my M1 Macs. The Draw Things app makes it really easy to run too. You also can’t disregard that Apple’s M chips actually have dedicated neural processing for ML/AI. This actual makes a Mac more affordable in this category because you don’t need to purchase a beefy graphics card. Not to mention that Apple has even optimized their software specifically for Stable Diffusion (related GitHub). Draw Things can take advantage of this. There’s a few guides to running the web UI on M1 too. I prefer the Draw Things app because of how easy it is to use, but the web UI is also nice because of all of the plugins and workflows that the community has built over time.

• civitai

  639 5,606 10.0 TypeScript

  A repository of models, textual inversions, and more

  

Grab the Draw Things app for your iPad. Easiest way to run Stable Diffusion with your current equipment. You can even download any of the models found on CivitAI. If you want to affordably get more performance with image generation, grab yourself an M2 Mac mini. Keep in mind that it’s not the processor speed that benefits you here. Instead, it’s the number of Neural Cores in the processor. So, if you want a faster generation times, only upgrade to a bigger processor if your getting more Neural Cores too.

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

Suggest a related project