NcnnDotNet
Stable-Diffusion-NCNN
NcnnDotNet | Stable-Diffusion-NCNN | |
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1 | 8 | |
79 | 940 | |
- | - | |
10.0 | 4.9 | |
over 1 year ago | 11 months ago | |
C# | C++ | |
MIT License | BSD 3-clause "New" or "Revised" License |
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NcnnDotNet
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Stable diffusion port to .NET c#
https://github.com/andreae293/Stable-Diffusion.NET-NCNN This project is a simple c# port of the already existing c++ stable diffusion using Ncnn Dotnet libraries. Visual studio 2022 is required to open it
Stable-Diffusion-NCNN
- Stable Diffusion implemented by ncnn framework based on C++, supported txt2img and img2img!
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Is there an open source app for generating ai images?
It is possible, though a bit unpractical: Stable-Diffusion-NCNN
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Stable Diffusion running on a Snapdragon mobile device. Processing on device, not cloud (phone's in Flight Mode).
Remember this project needs 8gb to do 512x512 on a phone https://github.com/EdVince/Stable-Diffusion-NCNN
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Qualcomm demos fastest local AI image generation with Stable Diffusion on mobile
"World's first on-device demonstration of Stable Diffusion on an Android phone" Not really
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Qualcomm Demos AI Art Generator Stable Diffusion Running on an Android Phone Processor First In The World
some already did it https://github.com/EdVince/Stable-Diffusion-NCNN , not first in the world
- world's first on-device demonstration of STABLE DIFFUSION on an android phone
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Stable diffusion port to .NET c#
https://github.com/andreae293/Stable-Diffusion.NET-NCNN This project is a simple c# port of the already existing c++ stable diffusion using Ncnn Dotnet libraries. Visual studio 2022 is required to open it
What are some alternatives?
Stable-Diffusion.NET-NCNN
TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
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