StableInquest

Any luck resolving this yet?

Thanks for the tip. I attempted it but I realized I dont think those versions are supported on ARM (M1 Mac) architecture.

Anyone get this working?

I got it going this way: move to these newer versions: ` pip3 install --pre torch==1.14.0.dev20221101 torchaudio==0.14.0.dev20221101 torchtext==0.14.0.dev20221101 torchvision==0.15.0.dev20221101 -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html --no-deps #for normal use` and in : miniconda/envs/web-ui/lib/python3.10/site-packages/torch/_tensor.py edit...

With this configuration above during training memory usage is sitting about 35-45GB using mostly defaults, 512x512 etc.

I've added this to run_webui_mac.sh (for one run and commented out afterward) ``` #pip3 install -r requirements_versions.txt #pip3 install jsonmerge einops clean-fid resize_right torchdiffeq lark gradio fastapi omegaconf piexif fonts...

Any better solution for this, maybe a specific torchvision & torch nightly version combo?

I got by this just adding the --disable-safe-unpickle commandline argument at the end of the line below (in file ./run_webui_mac.sh): `python webui.py --precision full --no-half --opt-split-attention-v1 --use-cpu GFPGAN CodeFormer --disable-safe-unpickle...

I am on M1 mac and now the only error I'm seeing is related to textual inversion training: stable-diffusion-webui/repositories/stable-diffusion/ldm/models/diffusion/ddpm.py", line 1030, in p_losses logvar_t = self.logvar[t].to(self.device) **RuntimeError: indices should be...

Fresh installed again, latest pull.. most everything is working but for training. See error: stable-diffusion-webui/repositories/stable-diffusion/ldm/models/diffusion/ddpm.py", line 1030, in p_losses logvar_t = self.logvar[t].to(self.device) RuntimeError: indices should be either on cpu or...