Diffusion-ColabUI
OnnxDiffusersUI
Diffusion-ColabUI | OnnxDiffusersUI | |
---|---|---|
4 | 26 | |
395 | 189 | |
- | - | |
10.0 | 4.9 | |
12 months ago | 11 months ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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Diffusion-ColabUI
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Stable Diffusion 2.0 on Google Colab
GitHub
- Stable Diffusion links from around November 5, 2022 that I collected for further processing
- List of SD Tutorials & Resources
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Stable Diffusion V1.5
And GitHub: https://github.com/acheong08/Diffusion-ColabUI
OnnxDiffusersUI
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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.
What are some alternatives?
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]
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.
artbot-for-stable-diffusion - A front-end GUI for interacting with the AI Horde / Stable Diffusion distributed cluster
stable-diffusion-webui - Stable Diffusion web UI
A1111-Web-UI-Installer - Complete installer for Automatic1111's infamous Stable Diffusion WebUI
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]
g-diffuser-bot - Experimental utilities, extensions, and frontend interfaces for the diffusers library (stable-diffusion) [Moved to: https://github.com/parlance-zz/g-diffuser-lib]
unprompted - Templating language written for Stable Diffusion workflows. Available as an extension for the Automatic1111 WebUI.
stable-diffusion-webui-directml - Stable Diffusion web UI
stable-diffusion-webui - Stable Diffusion web UI