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Rename environment files to use default .yml extension

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This commit is contained in:
Chris Hayes
2022-09-27 00:58:05 -04:00
committed by GitHub
parent d87bd29a68
commit b1a3fd945d
11 changed files with 21 additions and 21 deletions
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2
docs/installation/INSTALL_LINUX.md
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@ -34,7 +34,7 @@ This will create InvokeAI folder where you will follow the rest of the steps.
5. Use anaconda to copy necessary python packages, create a new python environment named `ldm` and activate the environment.
```
(base) ~/InvokeAI$ conda env create -f environment.yaml
(base) ~/InvokeAI$ conda env create
(base) ~/InvokeAI$ conda activate ldm
(ldm) ~/InvokeAI$
```

10
docs/installation/INSTALL_MAC.md
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@ -76,7 +76,7 @@ PATH_TO_CKPT="$HOME/Downloads" # or wherever you saved sd-v1-4.ckpt
ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
# install packages
PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yml
conda activate ldm
# only need to do this once
@ -93,7 +93,7 @@ python scripts/orig_scripts/txt2img.py --prompt "a photograph of an astronaut ri
```
Note, `export PIP_EXISTS_ACTION=w` is a precaution to fix `conda env
create -f environment-mac.yaml` never finishing in some situations. So
create -f environment-mac.yml` never finishing in some situations. So
it isn't required but wont hurt.
After you follow all the instructions and run dream.py you might get several errors. Here's the errors I've seen and found solutions for.
@ -112,7 +112,7 @@ One debugging step is to update to the latest version of PyTorch nightly.
conda install pytorch torchvision torchaudio -c pytorch-nightly
If `conda env create -f environment-mac.yaml` takes forever run this.
If `conda env create -f environment-mac.yml` takes forever run this.
git clean -f
@ -140,7 +140,7 @@ Third, if it says you're missing taming you need to rebuild your virtual
environment.
conda env remove -n ldm
conda env create -f environment-mac.yaml
conda env create -f environment-mac.yml
Fourth, If you have activated the ldm virtual environment and tried rebuilding it, maybe the problem could be that I have something installed that you don't and you'll just need to manually install it. Make sure you activate the virtual environment so it installs there instead of
globally.
@ -239,7 +239,7 @@ Example error.
NotImplementedError: The operator 'aten::_index_put_impl_' is not current implemented for the MPS device. If you want this op to be added in priority during the prototype phase of this feature, please comment on [https://github.com/pytorch/pytorch/issues/77764](https://github.com/pytorch/pytorch/issues/77764). As a temporary fix, you can set the environment variable `PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op. WARNING: this will be slower than running natively on MPS.
```
The lstein branch includes this fix in [environment-mac.yaml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yaml).
The lstein branch includes this fix in [environment-mac.yml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yml).
### "Could not build wheels for tokenizers"

6
docs/installation/INSTALL_WINDOWS.md
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@ -47,8 +47,8 @@ cd InvokeAI
6. Run the following two commands:
```
conda env create -f environment.yaml (step 6a)
conda activate ldm (step 6b)
conda env create (step 6a)
conda activate ldm (step 6b)
```
This will install all python requirements and activate the "ldm"
@ -106,7 +106,7 @@ This distribution is changing rapidly. If you used the `git clone` method (step
```
git pull
conda env update -f environment.yaml
conda env update
```
This will bring your local copy into sync with the remote one.