k-diffusion-directml
stablediffusion-directml
k-diffusion-directml | stablediffusion-directml | |
---|---|---|
4 | 6 | |
30 | 41 | |
- | - | |
1.5 | 3.6 | |
about 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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k-diffusion-directml
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Automatic1111 for Intel Arc (A380 Tested)
k-diffusion (Directml version)
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Stable Diffusion on AMD APUs
https://github.com/lshqqytiger/k-diffusion-directml/tree/master --->this will need to be named k-diffusion https://github.com/lshqqytiger/stablediffusion-directml/tree/main ----> this will need to be renamed stable-diffusion-stability-ai
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Man I wish I could do all this cool shit too
Download k-diffusion and stablediffusion folders. (click green button "Code" and download as ZIP). Go to the folder you installed in step 1 and browse to repositories, extract these two folders there. Rename them to k-diffusion and stable-diffusion-stability-ai. If you already have these folders delete them first.
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Intel Arc Stable difussion?
3) install k-diffusion-directml and stablediffusion-directm under ..\stable-diffusion-webui-arc-directml-master\repositories (tutorial)
stablediffusion-directml
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Automatic1111 for Intel Arc (A380 Tested)
stable-diffusion-stability-ai (Directml version)
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Stable Diffusion on AMD APUs
https://github.com/lshqqytiger/k-diffusion-directml/tree/master --->this will need to be named k-diffusion https://github.com/lshqqytiger/stablediffusion-directml/tree/main ----> this will need to be renamed stable-diffusion-stability-ai
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What am I doing wrong? Inpainting reverts to original...
I'm using the directml fork of the Automatic1111 web gui on my AMD RX 6800 XT , and it seems to work fine with txt2img, but my attempts at inpainting to fix up the faces is getting me nowhere. This isn't the browser issue, in that the faces are being shown as being edited in the preview, but they successively converge on the original bad image that's masked... I've attached a youtube clip of how it goes for me. Help!
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Man I wish I could do all this cool shit too
Download k-diffusion and stablediffusion folders. (click green button "Code" and download as ZIP). Go to the folder you installed in step 1 and browse to repositories, extract these two folders there. Rename them to k-diffusion and stable-diffusion-stability-ai. If you already have these folders delete them first.
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SD made me regret buying an AMD card.
There is couple options, easy one for windows is this fork https://github.com/lshqqytiger/stablediffusion-directml you don't need to convert models to onyxxx is simply a1111 using directml so you can use all features like controlnet, but will be probably slower than shark or linux a1111 with rocm (why the hell is there no rocm for windows :/), tbh If I were you, I'd probably try to sell the card and buy, for example, a 3060 12GB
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Intel Arc Stable difussion?
3) install k-diffusion-directml and stablediffusion-directm under ..\stable-diffusion-webui-arc-directml-master\repositories (tutorial)
What are some alternatives?
MIOpen - AMD's Machine Intelligence Library
SHARK - SHARK - High Performance Machine Learning Distribution
stable-diffusion-webui - Stable Diffusion web UI
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
stable-diffusion-webui - Stable Diffusion web UI - adding support for Intel OneAPI / Arc GPUs
stable-diffusion-webui-colab - stable diffusion webui colab
sd-webui-lobe-theme - 🅰️ Lobe theme - The modern theme for stable diffusion webui, exquisite interface design, highly customizable UI, and efficiency boosting features.
civitai - A repository of models, textual inversions, and more
stable-diffusion-webui-arc-directml - A proven usable Stable diffusion webui project on Intel Arc GPU with DirectML
stable-diffusion-webui-amdgpu - Stable Diffusion web UI