ml-stable-diffusion
murex
ml-stable-diffusion | murex | |
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45 | 55 | |
16,111 | 1,370 | |
0.7% | - | |
7.4 | 9.6 | |
26 days ago | 8 days ago | |
Python | Go | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ml-stable-diffusion
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Show HN: Run Stable Diffusion Directly on iPhone
Not sure how that got in here. Apple released CoreML Stable Diffusion library a little over a year ago [1]. Hugging Face released their version of the example app for the CoreML Stable Diffusion library [2].
The app should be able to run on iPhone 14 Pro, I believe the requirements is about 6-8Gb of RAM. And I was not able to run it on iPhone 13 Mini, because it has only 4Gb of RAM.
- [1] https://github.com/apple/ml-stable-diffusion
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Apple releases MLX; has working Stable Diffusion example
Where are you seeing a Stable Diffusion example? I'm familiar with Apple's CoreML Implementation of StableDiffusion, but is there something else in the SD world available for download now as part of MLX?
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Stable Diffusion XL on iPhone with Core ML
Other features and improvements to the repo https://github.com/apple/ml-stable-diffusion
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FLaNK Stack Weekly for 20 June 2023
M1! https://github.com/apple/ml-stable-diffusion
- Apple Introduces M2 Ultra with up to 192GB Unified Memory - LLM powerhouse?
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Need help choosing between two laptops
M2 MBA can run Stable Diffusion and LLaMa comfortably, which means generating your potential game/image asset locally. They're pretty much impractical in 7340.
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Speed Is All You Need: On-Device Acceleration of Large Diffusion Models
Interestingly these are OpenCL kernels so in theory some of the optimizations might run out-of-the-box on CPUs.
It would be instructive to compare their speedups on the iPhone to the Apple CoreML implementation: https://github.com/apple/ml-stable-diffusion
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Is it worth buying a used M1 Mac for stable diffusion when you have iPad M1 but Intel Mac
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.
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Stable diffusion for Apple silicon
LINKS: ml-stable-diffusion: https://github.com/apple/ml-stable-diffusion Diffusers (HuggingFace Mac App): https://apps.apple.com/app/diffusers/id1666309574?mt=12
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Apple: Transformer architecture optimized for Apple Silicon
So, is Stable Diffusion working finally on TPU or not? DiffusionBee uses GPU and running this https://github.com/apple/ml-stable-diffusion with CPU_AND_NE just segfaults
murex
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Show HN: a Rust Based CLI tool 'imgcatr' for displaying images
This is how murex works too https://github.com/lmorg/murex/blob/master/config/defaults/p...
- Xonsh: Python-powered, cross-platform, Unix-gazing shell
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The Bun Shell
I agree. I’ve written about this before but this is what murex (1) does. It reimplements some of coreutils where there are benefits in doing so (eg sed, grep etc -like parsing of lists that are in formats other than flat lines of text. Such as JSON arrays)
Mutex does this by having these utilities named slightly different to their POSIX counterparts. So you can use all of the existing CLI tools completely but additionally have a bunch of new stuff too.
Far too many alt shells these days try to replace coreutils and that just creates friction in my opinion.
1. https://murex.rocks
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Jaq – A jq clone focused on correctness, speed, and simplicity
This is exactly what Murex shell does. It has lots of builtin tools for querying structured data (of varying formats) but also supports POSIX pipes for using existing tools like `jq` et al seamlessly too.
https://murex.rocks
- Murex rocks v5 is out
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The Case for Nushell
Stable is a problem because a lot of these shells don’t offer any guarantees for breaking changes.
My own shell, https://github.com/lmorg/murex is committed to backwards compatibility but even here, there are occasional changes made that might break backwards compatibility. Though I do push back on such changes as much as possible, to the extent that most of my scripts from 5 years ago still run unmodified.
- Murex
- FLaNK Stack Weekly for 20 June 2023
- Show HN: A smarter Unix shell and scripting environment
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Nushell.sh ls – where size > 10mb – –sort-by modified
This is similar to how my shell works. It still just passes bytes around but additionally passes information about how those bytes could be interpreted. A schema if you will. So it works as cleanly with POSIX / GNU / et al tools as it does with fancy JSON, YAML, CSV and other document formats.
It basically sits somewhere between Powershell and Bash: typed pipelines like Powershell but without sacrificing familiarity with all the CLI commands you already use day in and day out.
https://github.com/lmorg/murex
As an aside, I’m about to drop a massive update in the next few days that will make the shell even more intuitive to use.
What are some alternatives?
MochiDiffusion - Run Stable Diffusion on Mac natively
elvish - Powerful scripting language & Versatile interactive shell
ml-ane-transformers - Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
nushell - A new type of shell
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
tidy-viewer - 📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
pulsar-recipes - A StreamNative library containing a collection of recipes that are implemented on top of the Pulsar client to provide higher-level functionality closer to the application domain.
fx - Terminal JSON viewer & processor
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
stable-diffusion-webui - Stable Diffusion web UI
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.