lucene-grep
ml-stable-diffusion
lucene-grep | ml-stable-diffusion | |
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9 | 45 | |
187 | 16,111 | |
- | 0.7% | |
5.2 | 7.4 | |
7 months ago | 25 days ago | |
Clojure | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
lucene-grep
- FLaNK Stack Weekly for 20 June 2023
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Using Java's Project Loom to build more reliable distributed systems
- Graal native images are real. These boast a far lower startup overhead and much lower steady state memory usage for simpler applications.
Probably my counterexample of choice is this: https://github.com/dainiusjocas/lucene-grep - it uses Lucene, probably the best search library (core of Elasticsearch, Solr, most websites), which is notoriously not simple code to implement grep-like functionality. In simple cases, they demonstrate a 30ms whole process runtime with no more than 32MB of RAM used (which looks suspiciously like a default).
The JVM is fast becoming a bit like Postgres... one of those 'second best at everything' pieces of tech.
- lucene-grep - grep-like utility based on Lucene Monitor compiled with GraalVM native-image
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Lmgrep: Lucene-based grep-like utility
Here goes: https://github.com/dainiusjocas/lucene-grep/issues/84
I realize some relatively obscure Finnish stemmer and Lucene with GraalVM aren't exactly a common use case. I did some testing and provided my use case. I certainly have much English language content to search with using lucene-grep. So, thank you for making it!
- Lmgrep
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
What are some alternatives?
ArchiveBox - 🗃 Open source self-hosted web archiving. Takes URLs/browser history/bookmarks/Pocket/Pinboard/etc., saves HTML, JS, PDFs, media, and more...
MochiDiffusion - Run Stable Diffusion on Mac natively
ali-dbhub - 已迁移新仓库,此版本将不再维护
ml-ane-transformers - Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
babashka - Native, fast starting Clojure interpreter for scripting
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
BlockHound - Java agent to detect blocking calls from non-blocking threads.
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.
beagle - A smart, reliable, and highly customizable debug menu library for Android apps that supports screen recording, network activity logging, and many other useful features.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
coyote - Coyote is a library and tool for testing concurrent C# code and deterministically reproducing bugs.
stable-diffusion-webui - Stable Diffusion web UI