M1 Mac mini で Stable Diffusion Web UI を使う

{
  inputs.flake-utils.url = "github:numtide/flake-utils";

  outputs = { self, nixpkgs, flake-utils }:
    flake-utils.lib.eachDefaultSystem (system:
      let pkgs = nixpkgs.legacyPackages.${system}; in
      {
        devShell = pkgs.mkShell {
          buildInputs = with pkgs; [
            git
            protobuf
            python310
            python310Packages.torch
            python310Packages.torchvision
            rustup
            wget
          ];
        };
      }
    );
}

#!/bin/bash
####################################################################
#                          macOS defaults                          #
# Please modify webui-user.sh to change these instead of this file #
####################################################################

if [[ -x "$(command -v python3.10)" ]]
then
    python_cmd="python3.10"
fi

#export install_dir="$HOME/docs/ai/stable-diffusion"
export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate --no-half"
#export TORCH_COMMAND="pip install torch==2.0.1 torchvision==0.15.2"
export TORCH_COMMAND="true"
export PYTORCH_ENABLE_MPS_FALLBACK=1

####################################################################

bash stable-diffusion-webui/webui.sh

RuntimeError: Failed to import transformers.models.clip.modeling_clip because of the following error (look up to see its traceback):
No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package

bash-5.2$ python3
Python 3.10.13 (main, Aug 24 2023, 12:59:26) [Clang 16.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch._C
>>> import torch._C._distributed_c10d
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
ModuleNotFoundError: No module named 'torch._C._distributed_c10d'; 'torch._C' is not a package

bash-5.2$ python3
Python 3.10.13 (main, Aug 24 2023, 12:59:26) [Clang 16.0.6 ] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import torch
>>> torch.distributed.is_available()
False

{
  inputs.flake-utils.url = "github:numtide/flake-utils";

  outputs = { self, nixpkgs, flake-utils }:
    flake-utils.lib.eachDefaultSystem (system:
      let pkgs = nixpkgs.legacyPackages.${system}; in
      {
        devShell = pkgs.mkShell {
          buildInputs = with pkgs; [
            git
            poetry
            protobuf
            python310
            rustup
            wget
          ];
        };
      }
    );
}

[tool.poetry]
name = "stable-diffusion"
version = "0.1.0"
description = ""
authors = ["kino-ma <ma@kino.ma>"]
readme = "README.md"

[tool.poetry.dependencies]
python = "^3.10"
torch = "^2.1.2"
torchvision = "^0.16.2"


[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"

Command: "/Users/kino-ma/Library/Caches/pypoetry/virtualenvs/stable-diffusion-X0gitCx1-py3.10/bin/python3.10" -m true

#export TORCH_COMMAND="true"

  Downloading torch-2.0.1-cp310-none-macosx_11_0_arm64.whl (55.8 MB)

Model loaded in 19.6s (load weights from disk: 0.3s, create model: 0.9s, apply weights to model: 17.7s, move model to device: 0.2s, calculate empty prompt: 0.3s).

    RuntimeError: MPS backend out of memory (MPS allocated: 13.93 GB, other allocations: 3.98 GB, max allowed: 18.13 GB). Tried to allocate 256.00 MB on private pool. Use PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.0 to disable upper limit for memory allocations (may cause system failure).

export COMMANDLINE_ARGS="--skip-torch-cuda-test --upcast-sampling --no-half-vae --use-cpu interrogate --no-half --precision full"
export PYTORCH_MPS_HIGH_WATERMARK_RATIO=0.7