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Update README.md
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README.md
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README.md
@ -133,13 +133,11 @@ patchzluda.bat
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- Wipe your pip cache "C:\Users\USERNAME\AppData\Local\pip\cache" You can also do this when venv is active with :
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`pip cache purge`
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- `xformers` isn't usable with zluda so any nodes / packages that require it doesn't work. `Flash attention`
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doesn't work. And lastly using `codeformer` for face restoration gives "Failed inference: CUDA driver error:
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unknown error" You should use gfpgan / gpen / restoreformer or other face restoration models.
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doesn't work.
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- Have the latest drivers installed for your amd gpu. **Also, Remove Any Nvidia Drivers** you might have from previous
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nvidia
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gpu's.
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nvidia gpu's.
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- If you see zluda errors make sure these three files are inside "ComfyUI-Zluda\venv\Lib\site-packages\torch\lib\"
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`cublas64_11.dll (231kb)` `cusparse64_11.dll (199kb)` `nvrtc64_112_0.dll (129kb)` If they are there but much bigger in size please run : `patchzluda.bat`
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`cublas64_11.dll (231kb)` `cusparse64_11.dll (199kb)` `nvrtc64_112_0.dll (129kb)` If they are there but much bigger in size please run : `patchzluda.bat` (this is for zluda 3.8.4, other versions might be different sizes)
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- If for some reason you can't solve with these and want to start from zero, delete "venv" folder and re-run
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`install.bat`
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- If you can't git pull to the latest version, run these commands, `git fetch --all` and then
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@ -148,7 +146,8 @@ patchzluda.bat
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python from windows store, use the link provided or 3.11 from the official website. After uninstalling python from
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windows store and installing the one from the website, be sure the delete venv folder, and run install.bat once again.
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- `rocBLAS`-error: If you have an integrated GPU by AMD (e.g. AMD Radeon(TM) Graphics) you need to add `HIP_VISIBLE_DEVICES=1` to your
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environment variables. Otherwise it will default to using your iGPU, which will most likely not work. This behavior is caused by a bug in the ROCm-driver.
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environment variables. Other possible variables to use : `ROCR_VISIBLE_DEVICES=1` `HCC_AMDGPU_TARGET=1` . This basically tells it to use 1st gpu -this number could be different if you have multiple gpu's-
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Otherwise it will default to using your iGPU, which will most likely not work. This behavior is caused by a bug in the ROCm-driver.
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- Lots of other problems were encountered and solved by users so check the issues if you can't find your problem here.
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## Credits
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