rocm-build
diffusion-ui
| rocm-build | diffusion-ui | |
|---|---|---|
| 7 | 11 | |
| 168 | 139 | |
| - | - | |
| 0.0 | 4.6 | |
| 4 months ago | 26 days ago | |
| C++ | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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rocm-build
- AMD's Hidden $100 Stable Diffusion Beast!
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AMD GPU driver not installed correctly
Scripts to help with building rocm and hip. It will also help work out dependencies. You will need to modify the scripts for them to work and not all are required. https://github.com/xuhuisheng/rocm-build
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Stable Diffusion on AMD RDNA3
Short answer no. Long answer "in theory" yes. I tried this [1] but gave up as building rocm + deps takes up to 6h :/ Official statement [2]
[1] https://github.com/xuhuisheng/rocm-build
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I am in the same boat with a gfx03 card. What patch did you use? The ones here? https://github.com/xuhuisheng/rocm-build
I also tried to compile pytorch with its Vulkan backend, but ended throwing the towel as LDFLAGS are a mess to get right (I successfully compiled it, but that was only part of the build chain, and decided I had better things to spend time on). I wonder how that would perform; ncnn works pretty decently.
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How do I run Stable Diffusion and sharing FAQs
Unofficial black magic is available: https://github.com/xuhuisheng/rocm-build/tree/master/navi10 (pytorch 1.12.0 is outdated but can run SD)
- Deep Learning options on Radeon RX 6800
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Which version of ROCm and Tensorflow should I use?
also have an RX570, currently running latest Tensorflow and ROCm 4.1. had to recompile some parts of ROCm 4.1 libraries to get tensorflow to work. mostly followed this guide: https://github.com/xuhuisheng/rocm-build/tree/master/gfx803
diffusion-ui
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Who needs Photoshop generative AI when we have AUTO1111?
You can use diffusion-ui on top of automatic1111 for easy outpainting. Run automatic1111 with --cors-allow-origins=http://127.0.0.1:5173,https://diffusionui.com Then select the automatic1111 backend, upload an image then use the mouse scroll to zoom out.
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Show HN: InvokeAI, an open source Stable Diffusion toolkit and WebUI
I see you've got my https://github.com/leszekhanusz/diffusion-ui gui but it seems to be linked to a completely unrelated face-swapping interface?
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Anyone using the stable-diffusion-webui repo by automatic1111 as an API?
Yes, checkout diffusion-ui
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DiffusionUI responsive frontend working with the automatic1111 fork
I modified my GUI Stable Diffusion frontend to be able to use the automatic1111 fork as a backend.
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Can we please make a general update on all the "most important" news/repos available?
It's not really well known at the moment but you also have my DiffusionUI interface which is based on diffusers with a backend where you can disable the nsfw filter.
- Show HN: Guided inpainting with Stable Diffusion using DiffusionUI
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Presenting DiffusionUI, a web GUI for Stable Diffusion backends [P]
GitHub: https://github.com/leszekhanusz/diffusion-ui
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SD in-painting hair test
One way to do it is to use diffusionui, a web interface I made in vue. Here is a crappy video demo showing the process.
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What's the best install of Stable Diffusion right now?
If you want to do inpainting, you can try my diffusionui interface I'll add a feature soon to save the generated images in local storage in the browser. Here is a small demo
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Having fun with my proof-of-concept of a web interface to do directed inpainting with stable-diffusion
It's still a work in progress but you can already play with it. Check it on GitHub
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
glid-3-xl-stable - stable diffusion training
stable-diffusion-webui - Stable Diffusion web UI
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.
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
tensorflow-upstream - TensorFlow ROCm port
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
diffusion-ui-backend - Backend for the diffusion-ui frontend
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
diffusers-interpret - Diffusers-Interpret 🤗🧨🕵️♀️: Model explainability for 🤗 Diffusers. Get explanations for your generated images.