mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2024-06-07 21:20:49 +00:00
Merge branch 'dev' into test-fp8
This commit is contained in:
commit
c3facab495
@ -19,17 +19,28 @@ function keyupEditAttention(event) {
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let beforeParen = before.lastIndexOf(OPEN);
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if (beforeParen == -1) return false;
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let beforeClosingParen = before.lastIndexOf(CLOSE);
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if (beforeClosingParen != -1 && beforeClosingParen > beforeParen) return false;
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// Find closing parenthesis around current cursor
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const after = text.substring(selectionStart);
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let afterParen = after.indexOf(CLOSE);
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if (afterParen == -1) return false;
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let afterOpeningParen = after.indexOf(OPEN);
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if (afterOpeningParen != -1 && afterOpeningParen < afterParen) return false;
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// Set the selection to the text between the parenthesis
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const parenContent = text.substring(beforeParen + 1, selectionStart + afterParen);
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if (!/.*:-?[\d.]+/s.test(parenContent)) return false;
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const lastColon = parenContent.lastIndexOf(":");
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selectionStart = beforeParen + 1;
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selectionEnd = selectionStart + lastColon;
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if (/.*:-?[\d.]+/s.test(parenContent)) {
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const lastColon = parenContent.lastIndexOf(":");
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selectionStart = beforeParen + 1;
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selectionEnd = selectionStart + lastColon;
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} else {
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selectionStart = beforeParen + 1;
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selectionEnd = selectionStart + parenContent.length;
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}
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target.setSelectionRange(selectionStart, selectionEnd);
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return true;
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}
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@ -58,7 +69,7 @@ function keyupEditAttention(event) {
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}
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// If the user hasn't selected anything, let's select their current parenthesis block or word
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if (!selectCurrentParenthesisBlock('<', '>') && !selectCurrentParenthesisBlock('(', ')')) {
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if (!selectCurrentParenthesisBlock('<', '>') && !selectCurrentParenthesisBlock('(', ')') && !selectCurrentParenthesisBlock('[', ']')) {
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selectCurrentWord();
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}
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@ -66,44 +77,31 @@ function keyupEditAttention(event) {
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var closeCharacter = ')';
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var delta = opts.keyedit_precision_attention;
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var start = selectionStart > 0 ? text[selectionStart - 1] : "";
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var end = text[selectionEnd];
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if (selectionStart > 0 && /<.*:-?[\d.]+>/s.test(text.slice(selectionStart - 1, selectionEnd + text.slice(selectionEnd).indexOf(">") + 1))) {
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if (start == '<') {
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closeCharacter = '>';
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delta = opts.keyedit_precision_extra;
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} else if (selectionStart > 0 && /\(.*\)|\[.*\]/s.test(text.slice(selectionStart - 1, selectionEnd + 1))) {
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let start = text[selectionStart - 1];
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let end = text[selectionEnd];
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if (opts.keyedit_convert) {
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let numParen = 0;
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} else if (start == '(' && end == ')' || start == '[' && end == ']') { // convert old-style (((emphasis)))
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let numParen = 0;
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while (text[selectionStart - numParen - 1] == start && text[selectionEnd + numParen] == end) {
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numParen++;
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}
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if (start == "(") {
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weight = 1.1 ** numParen;
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} else {
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weight = (1 / 1.1) ** numParen;
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}
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weight = Math.round(weight / opts.keyedit_precision_attention) * opts.keyedit_precision_attention;
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text = text.slice(0, selectionStart - numParen) + "(" + text.slice(selectionStart, selectionEnd) + ":" + weight + ")" + text.slice(selectionEnd + numParen);
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selectionStart -= numParen - 1;
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selectionEnd -= numParen - 1;
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} else {
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closeCharacter = null;
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if (isPlus) {
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text = text.slice(0, selectionStart) + start + text.slice(selectionStart, selectionEnd) + end + text.slice(selectionEnd);
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selectionStart++;
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selectionEnd++;
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} else {
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text = text.slice(0, selectionStart - 1) + text.slice(selectionStart, selectionEnd) + text.slice(selectionEnd + 1);
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selectionStart--;
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selectionEnd--;
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}
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while (text[selectionStart - numParen - 1] == start && text[selectionEnd + numParen] == end) {
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numParen++;
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}
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} else if (selectionStart == 0 || !/\(.*:-?[\d.]+\)/s.test(text.slice(selectionStart - 1, selectionEnd + text.slice(selectionEnd).indexOf(")") + 1))) {
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if (start == "[") {
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weight = (1 / 1.1) ** numParen;
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} else {
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weight = 1.1 ** numParen;
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}
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weight = Math.round(weight / opts.keyedit_precision_attention) * opts.keyedit_precision_attention;
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text = text.slice(0, selectionStart - numParen) + "(" + text.slice(selectionStart, selectionEnd) + ":" + weight + ")" + text.slice(selectionEnd + numParen);
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selectionStart -= numParen - 1;
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selectionEnd -= numParen - 1;
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} else if (start != '(') {
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// do not include spaces at the end
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while (selectionEnd > selectionStart && text[selectionEnd - 1] == ' ') {
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selectionEnd--;
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@ -119,23 +117,22 @@ function keyupEditAttention(event) {
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selectionEnd++;
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}
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if (closeCharacter) {
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var end = text.slice(selectionEnd + 1).indexOf(closeCharacter) + 1;
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var weight = parseFloat(text.slice(selectionEnd + 1, selectionEnd + end));
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if (isNaN(weight)) return;
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if (text[selectionEnd] != ':') return;
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var weightLength = text.slice(selectionEnd + 1).indexOf(closeCharacter) + 1;
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var weight = parseFloat(text.slice(selectionEnd + 1, selectionEnd + weightLength));
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if (isNaN(weight)) return;
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weight += isPlus ? delta : -delta;
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weight = parseFloat(weight.toPrecision(12));
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if (Number.isInteger(weight)) weight += ".0";
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weight += isPlus ? delta : -delta;
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weight = parseFloat(weight.toPrecision(12));
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if (Number.isInteger(weight)) weight += ".0";
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if (closeCharacter == ')' && weight == 1) {
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var endParenPos = text.substring(selectionEnd).indexOf(')');
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text = text.slice(0, selectionStart - 1) + text.slice(selectionStart, selectionEnd) + text.slice(selectionEnd + endParenPos + 1);
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selectionStart--;
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selectionEnd--;
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} else {
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text = text.slice(0, selectionEnd + 1) + weight + text.slice(selectionEnd + end);
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}
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if (closeCharacter == ')' && weight == 1) {
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var endParenPos = text.substring(selectionEnd).indexOf(')');
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text = text.slice(0, selectionStart - 1) + text.slice(selectionStart, selectionEnd) + text.slice(selectionEnd + endParenPos + 1);
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selectionStart--;
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selectionEnd--;
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} else {
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text = text.slice(0, selectionEnd + 1) + weight + text.slice(selectionEnd + weightLength);
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}
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target.focus();
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@ -9,6 +9,7 @@ from modules import paths, shared, devices, modelloader, errors
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model_dir = "GFPGAN"
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user_path = None
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model_path = os.path.join(paths.models_path, model_dir)
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model_file_path = None
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model_url = "https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.4.pth"
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have_gfpgan = False
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loaded_gfpgan_model = None
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@ -17,6 +18,7 @@ loaded_gfpgan_model = None
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def gfpgann():
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global loaded_gfpgan_model
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global model_path
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global model_file_path
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if loaded_gfpgan_model is not None:
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loaded_gfpgan_model.gfpgan.to(devices.device_gfpgan)
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return loaded_gfpgan_model
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@ -24,17 +26,24 @@ def gfpgann():
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if gfpgan_constructor is None:
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return None
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models = modelloader.load_models(model_path, model_url, user_path, ext_filter="GFPGAN")
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models = modelloader.load_models(model_path, model_url, user_path, ext_filter=['.pth'])
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if len(models) == 1 and models[0].startswith("http"):
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model_file = models[0]
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elif len(models) != 0:
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latest_file = max(models, key=os.path.getctime)
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gfp_models = []
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for item in models:
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if 'GFPGAN' in os.path.basename(item):
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gfp_models.append(item)
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latest_file = max(gfp_models, key=os.path.getctime)
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model_file = latest_file
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else:
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print("Unable to load gfpgan model!")
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return None
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if hasattr(facexlib.detection.retinaface, 'device'):
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facexlib.detection.retinaface.device = devices.device_gfpgan
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model_file_path = model_file
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model = gfpgan_constructor(model_path=model_file, upscale=1, arch='clean', channel_multiplier=2, bg_upsampler=None, device=devices.device_gfpgan)
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loaded_gfpgan_model = model
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@ -77,19 +86,25 @@ def setup_model(dirname):
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global user_path
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global have_gfpgan
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global gfpgan_constructor
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global model_file_path
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facexlib_path = model_path
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if dirname is not None:
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facexlib_path = dirname
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load_file_from_url_orig = gfpgan.utils.load_file_from_url
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facex_load_file_from_url_orig = facexlib.detection.load_file_from_url
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facex_load_file_from_url_orig2 = facexlib.parsing.load_file_from_url
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def my_load_file_from_url(**kwargs):
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return load_file_from_url_orig(**dict(kwargs, model_dir=model_path))
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return load_file_from_url_orig(**dict(kwargs, model_dir=model_file_path))
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def facex_load_file_from_url(**kwargs):
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return facex_load_file_from_url_orig(**dict(kwargs, save_dir=model_path, model_dir=None))
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return facex_load_file_from_url_orig(**dict(kwargs, save_dir=facexlib_path, model_dir=None))
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def facex_load_file_from_url2(**kwargs):
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return facex_load_file_from_url_orig2(**dict(kwargs, save_dir=model_path, model_dir=None))
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return facex_load_file_from_url_orig2(**dict(kwargs, save_dir=facexlib_path, model_dir=None))
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gfpgan.utils.load_file_from_url = my_load_file_from_url
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facexlib.detection.load_file_from_url = facex_load_file_from_url
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@ -886,6 +886,8 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
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devices.torch_gc()
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state.nextjob()
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if p.scripts is not None:
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p.scripts.postprocess_batch(p, x_samples_ddim, batch_number=n)
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@ -958,8 +960,6 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
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devices.torch_gc()
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state.nextjob()
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if not infotexts:
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infotexts.append(Processed(p, []).infotext(p, 0))
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@ -4,7 +4,7 @@ import re
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from collections import namedtuple
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import lark
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# a prompt like this: "fantasy landscape with a [mountain:lake:0.25] and [an oak:a christmas tree:0.75][ in foreground::0.6][ in background:0.25] [shoddy:masterful:0.5]"
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# a prompt like this: "fantasy landscape with a [mountain:lake:0.25] and [an oak:a christmas tree:0.75][ in foreground::0.6][: in background:0.25] [shoddy:masterful:0.5]"
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# will be represented with prompt_schedule like this (assuming steps=100):
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# [25, 'fantasy landscape with a mountain and an oak in foreground shoddy']
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# [50, 'fantasy landscape with a lake and an oak in foreground in background shoddy']
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@ -259,9 +259,8 @@ options_templates.update(options_section(('ui', "User interface"), {
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"dimensions_and_batch_together": OptionInfo(True, "Show Width/Height and Batch sliders in same row").needs_reload_ui(),
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"keyedit_precision_attention": OptionInfo(0.1, "Ctrl+up/down precision when editing (attention:1.1)", gr.Slider, {"minimum": 0.01, "maximum": 0.2, "step": 0.001}),
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"keyedit_precision_extra": OptionInfo(0.05, "Ctrl+up/down precision when editing <extra networks:0.9>", gr.Slider, {"minimum": 0.01, "maximum": 0.2, "step": 0.001}),
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"keyedit_delimiters": OptionInfo(r".,\/!?%^*;:{}=`~()[]<>| ", "Ctrl+up/down word delimiters"),
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"keyedit_delimiters": OptionInfo(r".,\/!?%^*;:{}=`~() ", "Ctrl+up/down word delimiters"),
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"keyedit_delimiters_whitespace": OptionInfo(["Tab", "Carriage Return", "Line Feed"], "Ctrl+up/down whitespace delimiters", gr.CheckboxGroup, lambda: {"choices": ["Tab", "Carriage Return", "Line Feed"]}),
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"keyedit_convert": OptionInfo(True, "Convert (attention) to (attention:1.1)"),
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"keyedit_move": OptionInfo(True, "Alt+left/right moves prompt elements"),
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"quicksettings_list": OptionInfo(["sd_model_checkpoint"], "Quicksettings list", ui_components.DropdownMulti, lambda: {"choices": list(shared.opts.data_labels.keys())}).js("info", "settingsHintsShowQuicksettings").info("setting entries that appear at the top of page rather than in settings tab").needs_reload_ui(),
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"ui_tab_order": OptionInfo([], "UI tab order", ui_components.DropdownMulti, lambda: {"choices": list(shared.tab_names)}).needs_reload_ui(),
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@ -29,3 +29,4 @@ torch
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torchdiffeq==0.2.3
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torchsde==0.2.6
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transformers==4.30.2
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httpx==0.24.1
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@ -114,6 +114,7 @@ class Script(scripts.Script):
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def ui(self, is_img2img):
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checkbox_iterate = gr.Checkbox(label="Iterate seed every line", value=False, elem_id=self.elem_id("checkbox_iterate"))
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checkbox_iterate_batch = gr.Checkbox(label="Use same random seed for all lines", value=False, elem_id=self.elem_id("checkbox_iterate_batch"))
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prompt_position = gr.Radio(["start", "end"], label="Insert prompts at the", elem_id=self.elem_id("prompt_position"), value="start")
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prompt_txt = gr.Textbox(label="List of prompt inputs", lines=1, elem_id=self.elem_id("prompt_txt"))
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file = gr.File(label="Upload prompt inputs", type='binary', elem_id=self.elem_id("file"))
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@ -124,9 +125,9 @@ class Script(scripts.Script):
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# We don't shrink back to 1, because that causes the control to ignore [enter], and it may
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# be unclear to the user that shift-enter is needed.
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prompt_txt.change(lambda tb: gr.update(lines=7) if ("\n" in tb) else gr.update(lines=2), inputs=[prompt_txt], outputs=[prompt_txt], show_progress=False)
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return [checkbox_iterate, checkbox_iterate_batch, prompt_txt]
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return [checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt]
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def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_txt: str):
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def run(self, p, checkbox_iterate, checkbox_iterate_batch, prompt_position, prompt_txt: str):
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lines = [x for x in (x.strip() for x in prompt_txt.splitlines()) if x]
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p.do_not_save_grid = True
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@ -167,6 +168,18 @@ class Script(scripts.Script):
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else:
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setattr(copy_p, k, v)
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if args.get("prompt") and p.prompt:
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if prompt_position == "start":
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copy_p.prompt = args.get("prompt") + " " + p.prompt
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else:
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copy_p.prompt = p.prompt + " " + args.get("prompt")
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if args.get("negative_prompt") and p.negative_prompt:
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if prompt_position == "start":
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copy_p.negative_prompt = args.get("negative_prompt") + " " + p.negative_prompt
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else:
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copy_p.negative_prompt = p.negative_prompt + " " + args.get("negative_prompt")
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proc = process_images(copy_p)
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images += proc.images
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