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OnnxDiffusersUI reviews and mentions
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AMD GPU
Sounds like Automatic1111 doesn't work with your AMD RX570 so it uses your CPU instead. There's a guy that tried a few workarounds on his github page that might help but you basically need to buy a GPU made in the last 3 years that has ray tracing capability. https://github.com/azuritecoin/OnnxDiffusersUI
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Useful Links
Onnx Diffusers UI
- AMD support for Microsoft® DirectML optimization of Stable Diffusion
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[Help] using custom model
Its this one: https://github.com/azuritecoin/OnnxDiffusersUI It works properly except i can't convert models other than the default it comes with.
- [Stable Diffusion] J'ai créé ma propre interface utilisateur pour exécuter SD sur AMD GPU sur Windows
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Best option for running on an AMD GPU.
https://github.com/azuritecoin/OnnxDiffusersUI this seems to work pretty good for me, has quite a bit of features and has a CPU only mode, only problem with it is, it hogs a lot of ram
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Best UI for AMD Card
for windows the onnx ui:https://github.com/azuritecoin/OnnxDiffusersUI, or you can try and fenagle your way into installing automatic1111 on linux
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How Nvidia’s CUDA Monopoly In Machine Learning Is Breaking - OpenAI Triton And PyTorch 2.0
Guide
- AMD on Windows and RX580 Failed
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AMD GPU, SD and Linux on WSL2, any success story?
I also have a 6800 and when I'm on Windows I mess around with this https://github.com/azuritecoin/OnnxDiffusersUI which is fine and works okay but yeah without ROCm it is very slow. I usually just dualboot into Linux if I want to spend more time generating things. It's just how it is for now with support for AMD, sadly.
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A note from our sponsor - InfluxDB
www.influxdata.com | 29 Apr 2024
Stats
azuritecoin/OnnxDiffusersUI is an open source project licensed under GNU Affero General Public License v3.0 which is an OSI approved license.
The primary programming language of OnnxDiffusersUI is Python.
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