ml-stable-diffusion
MochiDiffusion
ml-stable-diffusion | MochiDiffusion | |
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45 | 19 | |
16,111 | 7,107 | |
0.7% | 1.0% | |
7.4 | 9.2 | |
26 days ago | 11 days ago | |
Python | Swift | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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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
MochiDiffusion
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How do I install stable diffusion on my Mac Air? My midjourney subscription expired, and I don’t wanna pay another 60 a month. So I wanna try a new service.
Mochi Diffusion is very fast but you're limited to 512x512 or whatever image sizes the model is generated on
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How to create a simple python program that runs stable diffusion locally in Mac OS?
use mochi diffusion. It is simple and fast.godly-devotion/MochiDiffusion: Run Stable Diffusion on Mac natively (github.com)
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Me as Homer Simpson cracked myself up hard !!
try this for mac https://github.com/godly-devotion/MochiDiffusion
- MochiDiffusion
- Run Stable Diffusion on Mac Natively
- Run Stable Diffusion on Mac natively
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Turn on a Mac?
MochiDiffusion
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What are my options as a mac user?
I have an M2 MacBook Air and run Automatic1111. There are also DiffusionBee and MochiDiffusion. Read what the differences are and try each of them.
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Any guides on installing StableDiffusion on MacBook with Intel?
The best way to use Stable Diffusion with an old Intel Mac is to run Mochi Diffusion. It will be much slower than an M1 or M2, but it will work. Excellent piece of software! https://github.com/godly-devotion/MochiDiffusion
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Breadboard 0.4.5 (Stable Diffusion Browser): Integration with Draw Things, Easydiffusion, Mochidiffusion, NMKD, NovelAI, Sygil + Readonly mode
Mochidiffusion: https://github.com/godly-devotion/MochiDiffusion
What are some alternatives?
ml-ane-transformers - Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE)
diffusionbee-stable-diffusion-ui - Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
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.
swift-coreml-diffusers - Swift app demonstrating Core ML Stable Diffusion
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
stable-diffusion-webui-mps - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI
ivy - The Unified AI Framework
FreeScaler-CoreML - Upscaler for macOS