stable-diffusion-webui
stablediffusion-directml
stable-diffusion-webui | stablediffusion-directml | |
---|---|---|
3 | 6 | |
41 | 41 | |
- | - | |
8.4 | 3.6 | |
about 1 year ago | about 1 year ago | |
Python | Python | |
GNU Affero General Public License v3.0 | MIT License |
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stable-diffusion-webui
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Intel ARC GPU Stable Diffusion WebUI - 7.20 it\sec
git clone https://github.com/jbaboval/stable-diffusion-webui.git
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Stable Diffusion Web UI for Intel Arc
For anyone who is interested, you can also run jbaboval's repository (which neggles's repository is based on) using Ubuntu. You have to use oneapi branch though.
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Intel Arc Stable difussion?
has anyone been able to run stabble difussion on intel arc A770? I found this but I'm kind of new to all this. https://github.com/jbaboval/stable-diffusion-webui/tree/oneapi
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?
stable-diffusion-webui-arc-directml - A proven usable Stable diffusion webui project on Intel Arc GPU with DirectML
SHARK - SHARK - High Performance Machine Learning Distribution
Intel_ARC_GPU_WSL_Stable_Diffusion_WEBUI - Intel ARC GPU A750 A770 WSL Stable Diffusion WEBUI
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
stable-diffusion-webui - Stable Diffusion web UI
stable-diffusion-webui-colab - stable diffusion webui colab
stable-diffusion-webui-ipex-arc - A guide to Intel Arc-enabled (maybe) version of @AUTOMATIC1111/stable-diffusion-webui
civitai - A repository of models, textual inversions, and more
intel-extension-for-pytorch - A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
k-diffusion-directml - Karras et al. (2022) diffusion models for PyTorch
stable-diffusion-webui-amdgpu - Stable Diffusion web UI