brew install miniconda rust

conda init zsh

$ conda env create -f environment-mac.yaml
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound:
  - python=3.8.5

diff --git a/environment-mac.yaml b/environment-mac.yaml
index d923d56..c8a0a8e 100644
--- a/environment-mac.yaml
+++ b/environment-mac.yaml
@@ -3,14 +3,14 @@ channels:
   - pytorch
   - defaults
 dependencies:
-  - python=3.8.5
-  - pip=20.3
+  - python=3.9.12
+  - pip=21.2.4
   - pytorch=1.12.1
   - torchvision=0.13.1
   - numpy=1.19.2
   - pip:
     - albumentations==0.4.3
-    - opencv-python==4.1.2.30
+    - opencv-python>=4.1.2.30
     - pudb==2019.2
     - imageio==2.9.0
     - imageio-ffmpeg==0.4.2

conda activate ldm
mkdir -p models/ldm/stable-diffusion-v1
ln -s /path/to/stable-diffusion-v-1-4-original/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt

$ python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms 
〜 skip 〜
NotImplementedError: The operator 'aten::index.Tensor' 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. 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.

conda install pytorch torchvision torchaudio -c pytorch-nightly

$ python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms 
    return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

vi /opt/homebrew/Caskroom/miniconda/base/envs/ldm/lib/python3.9/site-packages/torch/nn/functional.py

--- functional.py_      2022-08-23 17:07:29.000000000 +0900
+++ functional.py       2022-08-23 17:07:31.000000000 +0900
@@ -2506,9 +2506,9 @@ def layer_norm(
     """
     if has_torch_function_variadic(input, weight, bias):
         return handle_torch_function(
-            layer_norm, (input, weight, bias), input, normalized_shape, weight=weight, bias=bias, eps=eps
+            layer_norm, (input.contiguous(), weight, bias), input, normalized_shape, weight=weight, bias=bias, eps=eps
         )
-    return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
+    return torch.layer_norm(input.contiguous(), normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)

$ python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms 
...
Your samples are ready and waiting for you here:
outputs/txt2img-samples

Enjoy.