Merge branch 'master' into dev/deepdanbooru

- Attention, specify parts of text that the model should pay more attention to

    - a man in a ((tuxedo)) - will pay more attention to tuxedo

    - a man in a (tuxedo:1.21) - alternative syntax

    - select text and press ctrl+up or ctrl+down to aduotmatically adjust attention to selected text

- Loopback, run img2img processing multiple times

- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters

- Textual Inversion

- Reloading checkpoints on the fly

- Checkpoint Merger, a tab that allows you to merge two checkpoints into one

- [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community

- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once

     - separate prompts using uppercase `AND`

     - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`

## Installation and Running

Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.

addEventListener('keydown', (event) => {

	let target = event.originalTarget;

	if (!target.hasAttribute("placeholder")) return;

	if (!target.placeholder.toLowerCase().includes("prompt")) return;

	let plus = "ArrowUp"

	let minus = "ArrowDown"

	if (event.key != plus && event.key != minus) return;

	selectionStart = target.selectionStart;

	selectionEnd = target.selectionEnd;

	if(selectionStart == selectionEnd) return;

	event.preventDefault();

	if (selectionStart == 0 || target.value[selectionStart - 1] != "(") {

		target.value = target.value.slice(0, selectionStart) +

			"(" + target.value.slice(selectionStart, selectionEnd) + ":1.0)" +

			target.value.slice(selectionEnd);

		target.focus();

		target.selectionStart = selectionStart + 1;

		target.selectionEnd = selectionEnd + 1;

	} else {

		end = target.value.slice(selectionEnd + 1).indexOf(")") + 1;

		weight = parseFloat(target.value.slice(selectionEnd + 1, selectionEnd + 1 + end));

		if (event.key == minus) weight -= 0.1;

		if (event.key == plus) weight += 0.1;

		weight = parseFloat(weight.toPrecision(12));

		target.value = target.value.slice(0, selectionEnd + 1) +

			weight +

			target.value.slice(selectionEnd + 1 + end - 1);

		target.focus();

		target.selectionStart = selectionStart;

		target.selectionEnd = selectionEnd;

	}

});

function check_progressbar(id_part, id_progressbar, id_progressbar_span, id_interrupt, id_preview, id_gallery){

    var progressbar = gradioApp().getElementById(id_progressbar)

    var interrupt = gradioApp().getElementById(id_interrupt)

    if(opts.show_progress_in_title && progressbar && progressbar.offsetParent){

        if(progressbar.innerText){

            let newtitle = 'Stable Diffusion - ' + progressbar.innerText

            if(document.title != newtitle){

                document.title =  newtitle;          

            }

        }else{

            let newtitle = 'Stable Diffusion'

            if(document.title != newtitle){

                document.title =  newtitle;          

            }

        }

    }

	if(progressbar!= null && progressbar != global_progressbars[id_progressbar]){

	    global_progressbars[id_progressbar] = progressbar

stable_diffusion_commit_hash = os.environ.get('STABLE_DIFFUSION_COMMIT_HASH', "69ae4b35e0a0f6ee1af8bb9a5d0016ccb27e36dc")

taming_transformers_commit_hash = os.environ.get('TAMING_TRANSFORMERS_COMMIT_HASH', "24268930bf1dce879235a7fddd0b2355b84d7ea6")

k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "a7ec1974d4ccb394c2dca275f42cd97490618924")

k_diffusion_commit_hash = os.environ.get('K_DIFFUSION_COMMIT_HASH', "f4e99857772fc3a126ba886aadf795a332774878")

codeformer_commit_hash = os.environ.get('CODEFORMER_COMMIT_HASH', "c5b4593074ba6214284d6acd5f1719b6c5d739af")

blip_commit_hash = os.environ.get('BLIP_COMMIT_HASH', "48211a1594f1321b00f14c9f7a5b4813144b2fb9")

    # TODO clone into temporary dir and move if successful

    if os.path.exists(dir):

        if commithash is None:

            return

        current_hash = run(f'"{git}" -C {dir} rev-parse HEAD', None, f"Couldn't determine {name}'s hash: {commithash}").strip()

        if current_hash == commithash:

            return

        run(f'"{git}" -C {dir} fetch', f"Fetching updates for {name}...", f"Couldn't fetch {name}")

        run(f'"{git}" -C {dir} checkout {commithash}', f"Checking out commint for {name} with hash: {commithash}...", f"Couldn't checkout commit {commithash} for {name}")

        return

    run(f'"{git}" clone "{url}" "{dir}"', f"Cloning {name} into {dir}...", f"Couldn't clone {name}")

        outputs.append(image)

    devices.torch_gc()

    return outputs, plaintext_to_html(info), ''