Merge branch 'master' into weighted-learning

1. Install [Python 3.10.6](https://www.python.org/downloads/windows/), checking "Add Python to PATH"

2. Install [git](https://git-scm.com/download/win).

3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.

4. Place stable diffusion checkpoint (`model.ckpt`) in the `models/Stable-diffusion` directory (see [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) for where to get it).

5. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.

### Automatic Installation on Linux

1. Install the dependencies:

```bash

bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)

```

3. Run `webui.sh`.

### Installation on Apple Silicon

Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).

	"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",

	"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution", 

	"Batch count": "How many batches of images to create",

	"Batch size": "How many image to create in a single batch",

	"Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)",

	"Batch size": "How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)",

    "CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",

    "Seed": "A value that determines the output of random number generator - if you create an image with same parameters and seed as another image, you'll get the same result",

    "\u{1f3b2}\ufe0f": "Set seed to -1, which will cause a new random number to be used every time",

    sys.argv += shlex.split(commandline_args)

    parser = argparse.ArgumentParser()

    parser = argparse.ArgumentParser(add_help=False)

    parser.add_argument("--ui-settings-file", type=str, help="filename to use for ui settings", default='config.json')

    args, _ = parser.parse_known_args(sys.argv)

            if not apply_optimizations:

                sd_hijack.undo_optimizations()

            try:

                hypernetwork, filename = train_hypernetwork(*args)

                hypernetwork, filename = train_hypernetwork(**args)

            except Exception as e:

                error = e

            finally:

# this file is adapted from https://github.com/victorca25/iNNfer

from collections import OrderedDict

import math

import functools

import torch