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support cpu, pip install #80
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This isn't a bad start IMO, but need to make ipex optional somehow. I'd also like to see device be configurable. Maybe with a "--device=cpu' or 'cuda' command line argument. |
This is a dead repo. Real, honest efforts towards hardware compatibility and usability should be devoted to getting a compiled binary distributed with Vulkan Kompute as the runtime backend. |
I will work on this. I like the idea. |
* optimizedSD * addedd argparse * Added support for multiple images * cleaned repo * cleaned repo * cleaned repo * Removed Deepcopy stuff * added batched inference * Optimized for lesser VRAM * Added Mixed Precision support * added img2img * path length error * Delete src directory * removed default seed * added support of specifying image seed * Added gradio interface * polished gradio app * added weighted prompts * fixed gradio windows bug * added support for specifying GPU and CPU * added turbo for faster inference * Format code, rewrite README Format code to be easier to understand, completely rewrite README to be more professional and user friendly, fixed typos etc. * Updated Readme * fix command * Add optional format argument for JPG output (CompVis#80) * Add --format argument to optimized_txt2img.py * Add --format argument to optimized_img2img.py * Add explanation of --format argument to README * added logging and jpg * added inpainting * Fixed typos * added plms for txt2img * Dockerize optimizedSD (CompVis#97) * fixed txt2img ddim error * Create FUNDING.yml * Update attention.py * inpaint gradio mask mode fixed (cherry picked from commit ddde264) * adapts memory-efficient attention to unet_bs larger than 1 * further improvements on memory-efficient attention * puts back changes to inpaint_gradio.py * updated README * Update README.md * added license * Update README.md Corrected "Telsa" into "Tesla" * Use modern method to enable GPU access. * fixing bugs that using gpus other than cuda:0 * added samplers for txt2img * added missing samplers file * Update inpaint_gradio.py (CompVis#157) Add mask_image, Co-authored-by: gruyade <> Co-authored-by: basujindal <bjbasujidnal@gmail.com> Co-authored-by: Basu Jindal <42815171+basujindal@users.noreply.github.com> Co-authored-by: Maika <karen.poffenhosen@gmail.com> Co-authored-by: Mimaki SiON <sion.git@pn.dojin.com> Co-authored-by: Conway <yawnoc@pm.me> Co-authored-by: Sasha Kotlyar <arktronic@users.noreply.github.com> Co-authored-by: Viacheslav Ivannikov <44505718+neonsecret@users.noreply.github.com> Co-authored-by: bironsecret <44505718+bironsecret@users.noreply.github.com> Co-authored-by: ryudrigo <ryudrigo@protonmail.com> Co-authored-by: Noobest Noob <easonxie106@gmail.com> Co-authored-by: Awth Wathje <awthwathje@gmail.com> Co-authored-by: Kieran Liu <xiaojiang_liu@apple.com> Co-authored-by: gruyade <113286260+gruyade@users.noreply.github.com>
Fix speed issues
* Add --format argument to optimized_txt2img.py * Add --format argument to optimized_img2img.py * Add explanation of --format argument to README
Hi what is the state here? I have an laptop with only Intel cpu/gpu and would like to use the project... I'm also using nixos and when CPU or what ever all support is integrated I would like to package it for nixos. |
could these repo help to integrate these feature? https://github.com/ModeratePrawn/stable-diffusion-cpu |
plz don't abandon the idea of making this work on integrated intel gpu's. |
Uses modified changes from #47 to implement CPU support.
Adds
pyproject.toml
so that the project can be pip installed.