R.swift
Strong typed, autocompleted resources like images, fonts and segues in Swift projects (by mac-cain13)
SHARK
SHARK - High Performance Machine Learning Distribution (by nod-ai)
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| R.swift | SHARK | |
|---|---|---|
| 5 | 84 | |
| 9,394 | 1,381 | |
| - | 4.1% | |
| 6.5 | 9.6 | |
| 20 days ago | 5 days ago | |
| Swift | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
R.swift
Posts with mentions or reviews of R.swift.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-30.
- SPM and localization
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Simple, but accurate drawing for iOS
I was having trouble getting R.swift to work with with SPM, potentially it's not supported yet? https://github.com/mac-cain13/R.swift/issues/735
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Custom styling similar to Android for iOS
All resources in Android are referenced in a static class called R, so accessing to individual resources is pretty easy using R.[typeOfResource].resourceName. For iOS we use a library that does something similar, is called R.swift With that we can access resources in iOS using an 'Android like' sintax
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Did you also know? In Xcode you can use the refactoring tool to wrap a literal string into a call to NSLocalizedString! Even better, you can assign a keyboard shortcut to make it even more efficient 🤓
Same was posted on the /r/iOSProgramming post for this, but I'm definitely not going back to using the raw NSLocalizedString call or extensions after I started using R.swift. Type safety and auto complete for all your assets is a real win in my book.
Or R.swift Clean and convenient solution.
SHARK
Posts with mentions or reviews of SHARK.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-08-10.
- Llama 2 on ONNX runs locally
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[D] Confusion over AMD GPU Ai benchmarking
https://github.com/AUTOMATIC1111/stable-diffusion-webui, https://github.com/nod-ai/SHARK, those are the repos for the open source tools mentioned. u/CeFurkan has really nice tutorial videos on YouTube for stable diffusion. Automatic1111 is the most popular open source stable diffusion ui and has the biggest open source plug-in ecosystem currently. Nvidia’s compute driver is separate from normal driver and called cuda. Amd’s compute driver is called rocm. Most windows programs like games use apis like directx, Vulkan,metal, web gpu and not cuda. Most ml code was originally intended to run in on scientific computing systems that were Linux. Today the traditional windows gpu apis are tying to get better at gpu ml supports. Amd has no official windows ml code support and is Hoping that other developers figure it out for them but amd made their ml driver open source but no support for consumer graphics cards. Nvidia is proprietary ml driver but guaranteed support across all cards including consumer
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Amd Gpu not utilised
I got it working using SHARK with an AMD RX 480 on Windows 10.
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New to SD - Slow working
Here the link for shark, faster (uses vulkan) than automatic1111 with directml but has less functions https://github.com/nod-ai/SHARK
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7900 XTX Stable Diffusion Shark Nod Ai performance on Windows 10. Seem to have gotten a bump with the latest prerelease drivers 23.10.01.41
I would recommend trying out Nod AI's Shark (That is the link for the most recent 786.exe release), and see how it works for you. From others I've read, it does 512x512 pics at around 3 it/s, which I know isn't mind blowing, but it's good enough to do a pic in about 30 seconds.
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New here
Problem solve, i had it to work i simply put this nod's ai shark exe in my stabble diffusion folder and launch it instead of Webui-user -> Release nod.ai SHARK 20230623.786 · nod-ai/SHARK (github.com)
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I built the easiest-to-use desktop application for running Stable Diffusion on your PC - and it's free for all of you
How does it compare with Shark SD (I am not affiliated with it in any way)? (https://github.com/nod-ai/SHARK)
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after changing GPU from RX 470 4gb to RTX 3060 12GB, I decided to make a few cozy houses, and these are a few of them
you should if you want to run SD on your card https://github.com/nod-ai/SHARK
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20 minute load time per image on high end pc?
Forgive me for not reading you whole comment. I suspect you're version of the SD eb UI doesn't recognize the AMD GPU., so you're using the CPU. AMD GPUs only work with a few web UIs. Try Nod.ai's Shark variant
- AMD support for Microsoft® DirectML optimization of Stable Diffusion
What are some alternatives?
When comparing R.swift and SHARK you can also consider the following projects:
SwiftGen - The Swift code generator for your assets, storyboards, Localizable.strings, … — Get rid of all String-based APIs!
stable-diffusion-webui - Stable Diffusion web UI
XcodeGen - A Swift command line tool for generating your Xcode project
stable-diffusion-webui-directml - Stable Diffusion web UI
Shark - Swift CLI for strong-typing images, colors, storyboards, fonts and localizations
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
SwifterSwift - A handy collection of more than 500 native Swift extensions to boost your productivity.
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
infer - A static analyzer for Java, C, C++, and Objective-C
AMD-Stable-Diffusion-ONNX-FP16 - Example code and documentation on how to get FP16 models running with ONNX on AMD GPUs [Moved to: https://github.com/Amblyopius/Stable-Diffusion-ONNX-FP16]
Xtrace - Trace Objective-C method calls by class or instance
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.