npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

jp.keijiro.ml-stable-diffusion

v1.5.0

Published

Stable Diffusion plugin based on Apple's Core ML port

Downloads

3,226

Readme

Unity Core ML Stable Diffusion Plugin

gif

Stable Diffusion plugin for Unity, based on Apple's Core ML port. You can run the model on-editor and at-runtime without needing any extra components.

System Requirements

  • Unity 2023.1 or later
  • Apple Silicon Mac (editor/runtime support) with macOS 13.1 or later
  • iPad Pro with Apple silicon (runtime support) with iOS 16.2 or later

Although the plugin supports iOS, it requires huge amount of memory to run the model, so it only supports memory-rich iPad models.

How To Try

Before running the sample project, you must put the model files in the Assets/StreamingAssets directory.

It takes a long time (a few minutes) for the first run. After this initialization step, it only takes a few tens of seconds to generate an image.

Performance Considerations

You can change which processing unit it uses by switching the "Compute Units" property in the Tester component.

It depends on the device model to choose the best option:

  • M1/M2 Mac and iOS: GPUs in those devices are not powerful enough, so you should select "CPU and NE" (Neural Engine) or "All".
  • M1/M2 Pro/Max Mac: GPUs in those devices have enough processing power compared to NE, so "CPU and GPU" can be a better option.

When using "CPU and GPU" mode, you must use the "original" model instead of the "split_einsum" model. Please overwrite the StreamingAssets/StableDiffusion directory with the original/compiled directory.

LCM (SD-Turbo) Support

You can use SD-Turbo or other LCMs (latent consistency models) with setting Pipeline.Scheduler to Lcm. You might also have to change StepCount to 1~4 and GuidanceScale to 1~2. Please refer to the model description to know the correct settings.

You can download the pre-converted SD-Turbo model from my Hugging Face repository.

Sample Projects

gif

  • Flipbook3: Running the image-to-image pipeline with a real-time 3D scene.