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modules/ui_extensions.py

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+import json
+import os
+import threading
+import time
+from datetime import datetime, timezone
+
+import git
+
+import gradio as gr
+import html
+import shutil
+import errno
+
+from modules import extensions, shared, paths, config_states, errors, restart
+from modules.paths_internal import config_states_dir
+from modules.call_queue import wrap_gradio_gpu_call
+
+available_extensions = {"extensions": []}
+STYLE_PRIMARY = ' style="color: var(--primary-400)"'
+
+
+def check_access():
+    assert not shared.cmd_opts.disable_extension_access, "extension access disabled because of command line flags"
+
+
+def apply_and_restart(disable_list, update_list, disable_all):
+    check_access()
+
+    disabled = json.loads(disable_list)
+    assert type(disabled) == list, f"wrong disable_list data for apply_and_restart: {disable_list}"
+
+    update = json.loads(update_list)
+    assert type(update) == list, f"wrong update_list data for apply_and_restart: {update_list}"
+
+    if update:
+        save_config_state("Backup (pre-update)")
+
+    update = set(update)
+
+    for ext in extensions.extensions:
+        if ext.name not in update:
+            continue
+
+        try:
+            ext.fetch_and_reset_hard()
+        except Exception:
+            errors.report(f"Error getting updates for {ext.name}", exc_info=True)
+
+    shared.opts.disabled_extensions = disabled
+    shared.opts.disable_all_extensions = disable_all
+    shared.opts.save(shared.config_filename)
+
+    if restart.is_restartable():
+        restart.restart_program()
+    else:
+        restart.stop_program()
+
+
+def save_config_state(name):
+    current_config_state = config_states.get_config()
+    if not name:
+        name = "Config"
+    current_config_state["name"] = name
+    timestamp = datetime.now().strftime('%Y_%m_%d-%H_%M_%S')
+    filename = os.path.join(config_states_dir, f"{timestamp}_{name}.json")
+    print(f"Saving backup of webui/extension state to {filename}.")
+    with open(filename, "w", encoding="utf-8") as f:
+        json.dump(current_config_state, f, indent=4, ensure_ascii=False)
+    config_states.list_config_states()
+    new_value = next(iter(config_states.all_config_states.keys()), "Current")
+    new_choices = ["Current"] + list(config_states.all_config_states.keys())
+    return gr.Dropdown.update(value=new_value, choices=new_choices), f"<span>Saved current webui/extension state to \"{filename}\"</span>"
+
+
+def restore_config_state(confirmed, config_state_name, restore_type):
+    if config_state_name == "Current":
+        return "<span>Select a config to restore from.</span>"
+    if not confirmed:
+        return "<span>Cancelled.</span>"
+
+    check_access()
+
+    config_state = config_states.all_config_states[config_state_name]
+
+    print(f"*** Restoring webui state from backup: {restore_type} ***")
+
+    if restore_type == "extensions" or restore_type == "both":
+        shared.opts.restore_config_state_file = config_state["filepath"]
+        shared.opts.save(shared.config_filename)
+
+    if restore_type == "webui" or restore_type == "both":
+        config_states.restore_webui_config(config_state)
+
+    shared.state.request_restart()
+
+    return ""
+
+
+def check_updates(id_task, disable_list):
+    check_access()
+
+    disabled = json.loads(disable_list)
+    assert type(disabled) == list, f"wrong disable_list data for apply_and_restart: {disable_list}"
+
+    exts = [ext for ext in extensions.extensions if ext.remote is not None and ext.name not in disabled]
+    shared.state.job_count = len(exts)
+
+    for ext in exts:
+        shared.state.textinfo = ext.name
+
+        try:
+            ext.check_updates()
+        except FileNotFoundError as e:
+            if 'FETCH_HEAD' not in str(e):
+                raise
+        except Exception:
+            errors.report(f"Error checking updates for {ext.name}", exc_info=True)
+
+        shared.state.nextjob()
+
+    return extension_table(), ""
+
+
+def make_commit_link(commit_hash, remote, text=None):
+    if text is None:
+        text = commit_hash[:8]
+    if remote.startswith("https://github.com/"):
+        if remote.endswith(".git"):
+            remote = remote[:-4]
+        href = remote + "/commit/" + commit_hash
+        return f'<a href="{href}" target="_blank">{text}</a>'
+    else:
+        return text
+
+
+def extension_table():
+    code = f"""<!-- {time.time()} -->
+    <table id="extensions">
+        <thead>
+            <tr>
+                <th>
+                    <input class="gr-check-radio gr-checkbox all_extensions_toggle" type="checkbox" {'checked="checked"' if all(ext.enabled for ext in extensions.extensions) else ''} onchange="toggle_all_extensions(event)" />
+                    <abbr title="Use checkbox to enable the extension; it will be enabled or disabled when you click apply button">Extension</abbr>
+                </th>
+                <th>URL</th>
+                <th>Branch</th>
+                <th>Version</th>
+                <th>Date</th>
+                <th><abbr title="Use checkbox to mark the extension for update; it will be updated when you click apply button">Update</abbr></th>
+            </tr>
+        </thead>
+        <tbody>
+    """
+
+    for ext in extensions.extensions:
+        ext: extensions.Extension
+        ext.read_info_from_repo()
+
+        remote = f"""<a href="{html.escape(ext.remote or '')}" target="_blank">{html.escape("built-in" if ext.is_builtin else ext.remote or '')}</a>"""
+
+        if ext.can_update:
+            ext_status = f"""<label><input class="gr-check-radio gr-checkbox" name="update_{html.escape(ext.name)}" checked="checked" type="checkbox">{html.escape(ext.status)}</label>"""
+        else:
+            ext_status = ext.status
+
+        style = ""
+        if shared.cmd_opts.disable_extra_extensions and not ext.is_builtin or shared.opts.disable_all_extensions == "extra" and not ext.is_builtin or shared.cmd_opts.disable_all_extensions or shared.opts.disable_all_extensions == "all":
+            style = STYLE_PRIMARY
+
+        version_link = ext.version
+        if ext.commit_hash and ext.remote:
+            version_link = make_commit_link(ext.commit_hash, ext.remote, ext.version)
+
+        code += f"""
+            <tr>
+                <td><label{style}><input class="gr-check-radio gr-checkbox extension_toggle" name="enable_{html.escape(ext.name)}" type="checkbox" {'checked="checked"' if ext.enabled else ''} onchange="toggle_extension(event)" />{html.escape(ext.name)}</label></td>
+                <td>{remote}</td>
+                <td>{ext.branch}</td>
+                <td>{version_link}</td>
+                <td>{datetime.fromtimestamp(ext.commit_date) if ext.commit_date else ""}</td>
+                <td{' class="extension_status"' if ext.remote is not None else ''}>{ext_status}</td>
+            </tr>
+    """
+
+    code += """
+        </tbody>
+    </table>
+    """
+
+    return code
+
+
+def update_config_states_table(state_name):
+    if state_name == "Current":
+        config_state = config_states.get_config()
+    else:
+        config_state = config_states.all_config_states[state_name]
+
+    config_name = config_state.get("name", "Config")
+    created_date = datetime.fromtimestamp(config_state["created_at"]).strftime('%Y-%m-%d %H:%M:%S')
+    filepath = config_state.get("filepath", "<unknown>")
+
+    try:
+        webui_remote = config_state["webui"]["remote"] or ""
+        webui_branch = config_state["webui"]["branch"]
+        webui_commit_hash = config_state["webui"]["commit_hash"] or "<unknown>"
+        webui_commit_date = config_state["webui"]["commit_date"]
+        if webui_commit_date:
+            webui_commit_date = time.asctime(time.gmtime(webui_commit_date))
+        else:
+            webui_commit_date = "<unknown>"
+
+        remote = f"""<a href="{html.escape(webui_remote)}" target="_blank">{html.escape(webui_remote or '')}</a>"""
+        commit_link = make_commit_link(webui_commit_hash, webui_remote)
+        date_link = make_commit_link(webui_commit_hash, webui_remote, webui_commit_date)
+
+        current_webui = config_states.get_webui_config()
+
+        style_remote = ""
+        style_branch = ""
+        style_commit = ""
+        if current_webui["remote"] != webui_remote:
+            style_remote = STYLE_PRIMARY
+        if current_webui["branch"] != webui_branch:
+            style_branch = STYLE_PRIMARY
+        if current_webui["commit_hash"] != webui_commit_hash:
+            style_commit = STYLE_PRIMARY
+
+        code = f"""<!-- {time.time()} -->
+<h2>Config Backup: {config_name}</h2>
+<div><b>Filepath:</b> {filepath}</div>
+<div><b>Created at:</b> {created_date}</div>
+<h2>WebUI State</h2>
+<table id="config_state_webui">
+    <thead>
+        <tr>
+            <th>URL</th>
+            <th>Branch</th>
+            <th>Commit</th>
+            <th>Date</th>
+        </tr>
+    </thead>
+    <tbody>
+        <tr>
+            <td>
+                <label{style_remote}>{remote}</label>
+            </td>
+            <td>
+                <label{style_branch}>{webui_branch}</label>
+            </td>
+            <td>
+                <label{style_commit}>{commit_link}</label>
+            </td>
+            <td>
+                <label{style_commit}>{date_link}</label>
+            </td>
+        </tr>
+    </tbody>
+</table>
+<h2>Extension State</h2>
+<table id="config_state_extensions">
+    <thead>
+        <tr>
+            <th>Extension</th>
+            <th>URL</th>
+            <th>Branch</th>
+            <th>Commit</th>
+            <th>Date</th>
+        </tr>
+    </thead>
+    <tbody>
+"""
+
+        ext_map = {ext.name: ext for ext in extensions.extensions}
+
+        for ext_name, ext_conf in config_state["extensions"].items():
+            ext_remote = ext_conf["remote"] or ""
+            ext_branch = ext_conf["branch"] or "<unknown>"
+            ext_enabled = ext_conf["enabled"]
+            ext_commit_hash = ext_conf["commit_hash"] or "<unknown>"
+            ext_commit_date = ext_conf["commit_date"]
+            if ext_commit_date:
+                ext_commit_date = time.asctime(time.gmtime(ext_commit_date))
+            else:
+                ext_commit_date = "<unknown>"
+
+            remote = f"""<a href="{html.escape(ext_remote)}" target="_blank">{html.escape(ext_remote or '')}</a>"""
+            commit_link = make_commit_link(ext_commit_hash, ext_remote)
+            date_link = make_commit_link(ext_commit_hash, ext_remote, ext_commit_date)
+
+            style_enabled = ""
+            style_remote = ""
+            style_branch = ""
+            style_commit = ""
+            if ext_name in ext_map:
+                current_ext = ext_map[ext_name]
+                current_ext.read_info_from_repo()
+                if current_ext.enabled != ext_enabled:
+                    style_enabled = STYLE_PRIMARY
+                if current_ext.remote != ext_remote:
+                    style_remote = STYLE_PRIMARY
+                if current_ext.branch != ext_branch:
+                    style_branch = STYLE_PRIMARY
+                if current_ext.commit_hash != ext_commit_hash:
+                    style_commit = STYLE_PRIMARY
+
+            code += f"""        <tr>
+            <td><label{style_enabled}><input class="gr-check-radio gr-checkbox" type="checkbox" disabled="true" {'checked="checked"' if ext_enabled else ''}>{html.escape(ext_name)}</label></td>
+            <td><label{style_remote}>{remote}</label></td>
+            <td><label{style_branch}>{ext_branch}</label></td>
+            <td><label{style_commit}>{commit_link}</label></td>
+            <td><label{style_commit}>{date_link}</label></td>
+        </tr>
+"""
+
+        code += """    </tbody>
+</table>"""
+
+    except Exception as e:
+        print(f"[ERROR]: Config states {filepath}, {e}")
+        code = f"""<!-- {time.time()} -->
+<h2>Config Backup: {config_name}</h2>
+<div><b>Filepath:</b> {filepath}</div>
+<div><b>Created at:</b> {created_date}</div>
+<h2>This file is corrupted</h2>"""
+
+    return code
+
+
+def normalize_git_url(url):
+    if url is None:
+        return ""
+
+    url = url.replace(".git", "")
+    return url
+
+
+def get_extension_dirname_from_url(url):
+    *parts, last_part = url.split('/')
+    return normalize_git_url(last_part)
+
+
+def install_extension_from_url(dirname, url, branch_name=None):
+    check_access()
+
+    if isinstance(dirname, str):
+        dirname = dirname.strip()
+    if isinstance(url, str):
+        url = url.strip()
+
+    assert url, 'No URL specified'
+
+    if dirname is None or dirname == "":
+        dirname = get_extension_dirname_from_url(url)
+
+    target_dir = os.path.join(extensions.extensions_dir, dirname)
+    assert not os.path.exists(target_dir), f'Extension directory already exists: {target_dir}'
+
+    normalized_url = normalize_git_url(url)
+    if any(x for x in extensions.extensions if normalize_git_url(x.remote) == normalized_url):
+        raise Exception(f'Extension with this URL is already installed: {url}')
+
+    tmpdir = os.path.join(paths.data_path, "tmp", dirname)
+
+    try:
+        shutil.rmtree(tmpdir, True)
+        if not branch_name:
+            # if no branch is specified, use the default branch
+            with git.Repo.clone_from(url, tmpdir, filter=['blob:none']) as repo:
+                repo.remote().fetch()
+                for submodule in repo.submodules:
+                    submodule.update()
+        else:
+            with git.Repo.clone_from(url, tmpdir, filter=['blob:none'], branch=branch_name) as repo:
+                repo.remote().fetch()
+                for submodule in repo.submodules:
+                    submodule.update()
+        try:
+            os.rename(tmpdir, target_dir)
+        except OSError as err:
+            if err.errno == errno.EXDEV:
+                # Cross device link, typical in docker or when tmp/ and extensions/ are on different file systems
+                # Since we can't use a rename, do the slower but more versitile shutil.move()
+                shutil.move(tmpdir, target_dir)
+            else:
+                # Something else, not enough free space, permissions, etc.  rethrow it so that it gets handled.
+                raise err
+
+        import launch
+        launch.run_extension_installer(target_dir)
+
+        extensions.list_extensions()
+        return [extension_table(), html.escape(f"Installed into {target_dir}. Use Installed tab to restart.")]
+    finally:
+        shutil.rmtree(tmpdir, True)
+
+
+def install_extension_from_index(url, hide_tags, sort_column, filter_text):
+    ext_table, message = install_extension_from_url(None, url)
+
+    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+
+    return code, ext_table, message, ''
+
+
+def refresh_available_extensions(url, hide_tags, sort_column):
+    global available_extensions
+
+    import urllib.request
+    with urllib.request.urlopen(url) as response:
+        text = response.read()
+
+    available_extensions = json.loads(text)
+
+    code, tags = refresh_available_extensions_from_data(hide_tags, sort_column)
+
+    return url, code, gr.CheckboxGroup.update(choices=tags), '', ''
+
+
+def refresh_available_extensions_for_tags(hide_tags, sort_column, filter_text):
+    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+
+    return code, ''
+
+
+def search_extensions(filter_text, hide_tags, sort_column):
+    code, _ = refresh_available_extensions_from_data(hide_tags, sort_column, filter_text)
+
+    return code, ''
+
+
+sort_ordering = [
+    # (reverse, order_by_function)
+    (True, lambda x: x.get('added', 'z')),
+    (False, lambda x: x.get('added', 'z')),
+    (False, lambda x: x.get('name', 'z')),
+    (True, lambda x: x.get('name', 'z')),
+    (False, lambda x: 'z'),
+    (True, lambda x: x.get('commit_time', '')),
+    (True, lambda x: x.get('created_at', '')),
+    (True, lambda x: x.get('stars', 0)),
+]
+
+
+def get_date(info: dict, key):
+    try:
+        return datetime.strptime(info.get(key), "%Y-%m-%dT%H:%M:%SZ").replace(tzinfo=timezone.utc).astimezone().strftime("%Y-%m-%d")
+    except (ValueError, TypeError):
+        return ''
+
+
+def refresh_available_extensions_from_data(hide_tags, sort_column, filter_text=""):
+    extlist = available_extensions["extensions"]
+    installed_extensions = {extension.name for extension in extensions.extensions}
+    installed_extension_urls = {normalize_git_url(extension.remote) for extension in extensions.extensions if extension.remote is not None}
+
+    tags = available_extensions.get("tags", {})
+    tags_to_hide = set(hide_tags)
+    hidden = 0
+
+    code = f"""<!-- {time.time()} -->
+    <table id="available_extensions">
+        <thead>
+            <tr>
+                <th>Extension</th>
+                <th>Description</th>
+                <th>Action</th>
+            </tr>
+        </thead>
+        <tbody>
+    """
+
+    sort_reverse, sort_function = sort_ordering[sort_column if 0 <= sort_column < len(sort_ordering) else 0]
+
+    for ext in sorted(extlist, key=sort_function, reverse=sort_reverse):
+        name = ext.get("name", "noname")
+        stars = int(ext.get("stars", 0))
+        added = ext.get('added', 'unknown')
+        update_time = get_date(ext, 'commit_time')
+        create_time = get_date(ext, 'created_at')
+        url = ext.get("url", None)
+        description = ext.get("description", "")
+        extension_tags = ext.get("tags", [])
+
+        if url is None:
+            continue
+
+        existing = get_extension_dirname_from_url(url) in installed_extensions or normalize_git_url(url) in installed_extension_urls
+        extension_tags = extension_tags + ["installed"] if existing else extension_tags
+
+        if any(x for x in extension_tags if x in tags_to_hide):
+            hidden += 1
+            continue
+
+        if filter_text and filter_text.strip():
+            if filter_text.lower() not in html.escape(name).lower() and filter_text.lower() not in html.escape(description).lower():
+                hidden += 1
+                continue
+
+        install_code = f"""<button onclick="install_extension_from_index(this, '{html.escape(url)}')" {"disabled=disabled" if existing else ""} class="lg secondary gradio-button custom-button">{"Install" if not existing else "Installed"}</button>"""
+
+        tags_text = ", ".join([f"<span class='extension-tag' title='{tags.get(x, '')}'>{x}</span>" for x in extension_tags])
+
+        code += f"""
+            <tr>
+                <td><a href="{html.escape(url)}" target="_blank">{html.escape(name)}</a><br />{tags_text}</td>
+                <td>{html.escape(description)}<p class="info">
+                <span class="date_added">Update: {html.escape(update_time)}  Added: {html.escape(added)}  Created: {html.escape(create_time)}</span><span class="star_count">stars: <b>{stars}</b></a></p></td>
+                <td>{install_code}</td>
+            </tr>
+
+        """
+
+        for tag in [x for x in extension_tags if x not in tags]:
+            tags[tag] = tag
+
+    code += """
+        </tbody>
+    </table>
+    """
+
+    if hidden > 0:
+        code += f"<p>Extension hidden: {hidden}</p>"
+
+    return code, list(tags)
+
+
+def preload_extensions_git_metadata():
+    for extension in extensions.extensions:
+        extension.read_info_from_repo()
+
+
+def create_ui():
+    import modules.ui
+
+    config_states.list_config_states()
+
+    threading.Thread(target=preload_extensions_git_metadata).start()
+
+    with gr.Blocks(analytics_enabled=False) as ui:
+        with gr.Tabs(elem_id="tabs_extensions"):
+            with gr.TabItem("Installed", id="installed"):
+
+                with gr.Row(elem_id="extensions_installed_top"):
+                    apply_label = ("Apply and restart UI" if restart.is_restartable() else "Apply and quit")
+                    apply = gr.Button(value=apply_label, variant="primary")
+                    check = gr.Button(value="Check for updates")
+                    extensions_disable_all = gr.Radio(label="Disable all extensions", choices=["none", "extra", "all"], value=shared.opts.disable_all_extensions, elem_id="extensions_disable_all")
+                    extensions_disabled_list = gr.Text(elem_id="extensions_disabled_list", visible=False, container=False)
+                    extensions_update_list = gr.Text(elem_id="extensions_update_list", visible=False, container=False)
+
+                html = ""
+
+                if shared.cmd_opts.disable_all_extensions or shared.cmd_opts.disable_extra_extensions or shared.opts.disable_all_extensions != "none":
+                    if shared.cmd_opts.disable_all_extensions:
+                        msg = '"--disable-all-extensions" was used, remove it to load all extensions again'
+                    elif shared.opts.disable_all_extensions != "none":
+                        msg = '"Disable all extensions" was set, change it to "none" to load all extensions again'
+                    elif shared.cmd_opts.disable_extra_extensions:
+                        msg = '"--disable-extra-extensions" was used, remove it to load all extensions again'
+                    html = f'<span style="color: var(--primary-400);">{msg}</span>'
+
+                with gr.Row():
+                    info = gr.HTML(html)
+
+                with gr.Row(elem_classes="progress-container"):
+                    extensions_table = gr.HTML('Loading...', elem_id="extensions_installed_html")
+
+                ui.load(fn=extension_table, inputs=[], outputs=[extensions_table])
+
+                apply.click(
+                    fn=apply_and_restart,
+                    _js="extensions_apply",
+                    inputs=[extensions_disabled_list, extensions_update_list, extensions_disable_all],
+                    outputs=[],
+                )
+
+                check.click(
+                    fn=wrap_gradio_gpu_call(check_updates, extra_outputs=[gr.update()]),
+                    _js="extensions_check",
+                    inputs=[info, extensions_disabled_list],
+                    outputs=[extensions_table, info],
+                )
+
+            with gr.TabItem("Available", id="available"):
+                with gr.Row():
+                    refresh_available_extensions_button = gr.Button(value="Load from:", variant="primary")
+                    extensions_index_url = os.environ.get('WEBUI_EXTENSIONS_INDEX', "https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui-extensions/master/index.json")
+                    available_extensions_index = gr.Text(value=extensions_index_url, label="Extension index URL", container=False)
+                    extension_to_install = gr.Text(elem_id="extension_to_install", visible=False)
+                    install_extension_button = gr.Button(elem_id="install_extension_button", visible=False)
+
+                with gr.Row():
+                    hide_tags = gr.CheckboxGroup(value=["ads", "localization", "installed"], label="Hide extensions with tags", choices=["script", "ads", "localization", "installed"])
+                    sort_column = gr.Radio(value="newest first", label="Order", choices=["newest first", "oldest first", "a-z", "z-a", "internal order",'update time', 'create time', "stars"], type="index")
+
+                with gr.Row():
+                    search_extensions_text = gr.Text(label="Search", container=False)
+
+                install_result = gr.HTML()
+                available_extensions_table = gr.HTML()
+
+                refresh_available_extensions_button.click(
+                    fn=modules.ui.wrap_gradio_call(refresh_available_extensions, extra_outputs=[gr.update(), gr.update(), gr.update(), gr.update()]),
+                    inputs=[available_extensions_index, hide_tags, sort_column],
+                    outputs=[available_extensions_index, available_extensions_table, hide_tags, search_extensions_text, install_result],
+                )
+
+                install_extension_button.click(
+                    fn=modules.ui.wrap_gradio_call(install_extension_from_index, extra_outputs=[gr.update(), gr.update()]),
+                    inputs=[extension_to_install, hide_tags, sort_column, search_extensions_text],
+                    outputs=[available_extensions_table, extensions_table, install_result],
+                )
+
+                search_extensions_text.change(
+                    fn=modules.ui.wrap_gradio_call(search_extensions, extra_outputs=[gr.update()]),
+                    inputs=[search_extensions_text, hide_tags, sort_column],
+                    outputs=[available_extensions_table, install_result],
+                )
+
+                hide_tags.change(
+                    fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
+                    inputs=[hide_tags, sort_column, search_extensions_text],
+                    outputs=[available_extensions_table, install_result]
+                )
+
+                sort_column.change(
+                    fn=modules.ui.wrap_gradio_call(refresh_available_extensions_for_tags, extra_outputs=[gr.update()]),
+                    inputs=[hide_tags, sort_column, search_extensions_text],
+                    outputs=[available_extensions_table, install_result]
+                )
+
+            with gr.TabItem("Install from URL", id="install_from_url"):
+                install_url = gr.Text(label="URL for extension's git repository")
+                install_branch = gr.Text(label="Specific branch name", placeholder="Leave empty for default main branch")
+                install_dirname = gr.Text(label="Local directory name", placeholder="Leave empty for auto")
+                install_button = gr.Button(value="Install", variant="primary")
+                install_result = gr.HTML(elem_id="extension_install_result")
+
+                install_button.click(
+                    fn=modules.ui.wrap_gradio_call(lambda *args: [gr.update(), *install_extension_from_url(*args)], extra_outputs=[gr.update(), gr.update()]),
+                    inputs=[install_dirname, install_url, install_branch],
+                    outputs=[install_url, extensions_table, install_result],
+                )
+
+            with gr.TabItem("Backup/Restore"):
+                with gr.Row(elem_id="extensions_backup_top_row"):
+                    config_states_list = gr.Dropdown(label="Saved Configs", elem_id="extension_backup_saved_configs", value="Current", choices=["Current"] + list(config_states.all_config_states.keys()))
+                    modules.ui.create_refresh_button(config_states_list, config_states.list_config_states, lambda: {"choices": ["Current"] + list(config_states.all_config_states.keys())}, "refresh_config_states")
+                    config_restore_type = gr.Radio(label="State to restore", choices=["extensions", "webui", "both"], value="extensions", elem_id="extension_backup_restore_type")
+                    config_restore_button = gr.Button(value="Restore Selected Config", variant="primary", elem_id="extension_backup_restore")
+                with gr.Row(elem_id="extensions_backup_top_row2"):
+                    config_save_name = gr.Textbox("", placeholder="Config Name", show_label=False)
+                    config_save_button = gr.Button(value="Save Current Config")
+
+                config_states_info = gr.HTML("")
+                config_states_table = gr.HTML("Loading...")
+                ui.load(fn=update_config_states_table, inputs=[config_states_list], outputs=[config_states_table])
+
+                config_save_button.click(fn=save_config_state, inputs=[config_save_name], outputs=[config_states_list, config_states_info])
+
+                dummy_component = gr.Label(visible=False)
+                config_restore_button.click(fn=restore_config_state, _js="config_state_confirm_restore", inputs=[dummy_component, config_states_list, config_restore_type], outputs=[config_states_info])
+
+                config_states_list.change(
+                    fn=update_config_states_table,
+                    inputs=[config_states_list],
+                    outputs=[config_states_table],
+                )
+
+
+    return ui

modules/ui_extra_networks.py

@@ -0,0 +1,482 @@
+import functools
+import os.path
+import urllib.parse
+from pathlib import Path
+
+from modules import shared, ui_extra_networks_user_metadata, errors, extra_networks
+from modules.images import read_info_from_image, save_image_with_geninfo
+import gradio as gr
+import json
+import html
+from fastapi.exceptions import HTTPException
+
+from modules.generation_parameters_copypaste import image_from_url_text
+from modules.ui_components import ToolButton
+
+extra_pages = []
+allowed_dirs = set()
+
+default_allowed_preview_extensions = ["png", "jpg", "jpeg", "webp", "gif"]
+
+
+@functools.cache
+def allowed_preview_extensions_with_extra(extra_extensions=None):
+    return set(default_allowed_preview_extensions) | set(extra_extensions or [])
+
+
+def allowed_preview_extensions():
+    return allowed_preview_extensions_with_extra((shared.opts.samples_format, ))
+
+
+def register_page(page):
+    """registers extra networks page for the UI; recommend doing it in on_before_ui() callback for extensions"""
+
+    extra_pages.append(page)
+    allowed_dirs.clear()
+    allowed_dirs.update(set(sum([x.allowed_directories_for_previews() for x in extra_pages], [])))
+
+
+def fetch_file(filename: str = ""):
+    from starlette.responses import FileResponse
+
+    if not os.path.isfile(filename):
+        raise HTTPException(status_code=404, detail="File not found")
+
+    if not any(Path(x).absolute() in Path(filename).absolute().parents for x in allowed_dirs):
+        raise ValueError(f"File cannot be fetched: {filename}. Must be in one of directories registered by extra pages.")
+
+    ext = os.path.splitext(filename)[1].lower()[1:]
+    if ext not in allowed_preview_extensions():
+        raise ValueError(f"File cannot be fetched: {filename}. Extensions allowed: {allowed_preview_extensions()}.")
+
+    # would profit from returning 304
+    return FileResponse(filename, headers={"Accept-Ranges": "bytes"})
+
+
+def get_metadata(page: str = "", item: str = ""):
+    from starlette.responses import JSONResponse
+
+    page = next(iter([x for x in extra_pages if x.name == page]), None)
+    if page is None:
+        return JSONResponse({})
+
+    metadata = page.metadata.get(item)
+    if metadata is None:
+        return JSONResponse({})
+
+    return JSONResponse({"metadata": json.dumps(metadata, indent=4, ensure_ascii=False)})
+
+
+def get_single_card(page: str = "", tabname: str = "", name: str = ""):
+    from starlette.responses import JSONResponse
+
+    page = next(iter([x for x in extra_pages if x.name == page]), None)
+
+    try:
+        item = page.create_item(name, enable_filter=False)
+        page.items[name] = item
+    except Exception as e:
+        errors.display(e, "creating item for extra network")
+        item = page.items.get(name)
+
+    page.read_user_metadata(item)
+    item_html = page.create_html_for_item(item, tabname)
+
+    return JSONResponse({"html": item_html})
+
+
+def add_pages_to_demo(app):
+    app.add_api_route("/sd_extra_networks/thumb", fetch_file, methods=["GET"])
+    app.add_api_route("/sd_extra_networks/metadata", get_metadata, methods=["GET"])
+    app.add_api_route("/sd_extra_networks/get-single-card", get_single_card, methods=["GET"])
+
+
+def quote_js(s):
+    s = s.replace('\\', '\\\\')
+    s = s.replace('"', '\\"')
+    return f'"{s}"'
+
+
+class ExtraNetworksPage:
+    def __init__(self, title):
+        self.title = title
+        self.name = title.lower()
+        self.id_page = self.name.replace(" ", "_")
+        self.card_page = shared.html("extra-networks-card.html")
+        self.allow_prompt = True
+        self.allow_negative_prompt = False
+        self.metadata = {}
+        self.items = {}
+
+    def refresh(self):
+        pass
+
+    def read_user_metadata(self, item):
+        filename = item.get("filename", None)
+        metadata = extra_networks.get_user_metadata(filename)
+
+        desc = metadata.get("description", None)
+        if desc is not None:
+            item["description"] = desc
+
+        item["user_metadata"] = metadata
+
+    def link_preview(self, filename):
+        quoted_filename = urllib.parse.quote(filename.replace('\\', '/'))
+        mtime = os.path.getmtime(filename)
+        return f"./sd_extra_networks/thumb?filename={quoted_filename}&mtime={mtime}"
+
+    def search_terms_from_path(self, filename, possible_directories=None):
+        abspath = os.path.abspath(filename)
+
+        for parentdir in (possible_directories if possible_directories is not None else self.allowed_directories_for_previews()):
+            parentdir = os.path.abspath(parentdir)
+            if abspath.startswith(parentdir):
+                return abspath[len(parentdir):].replace('\\', '/')
+
+        return ""
+
+    def create_html(self, tabname):
+        items_html = ''
+
+        self.metadata = {}
+
+        subdirs = {}
+        for parentdir in [os.path.abspath(x) for x in self.allowed_directories_for_previews()]:
+            for root, dirs, _ in sorted(os.walk(parentdir, followlinks=True), key=lambda x: shared.natural_sort_key(x[0])):
+                for dirname in sorted(dirs, key=shared.natural_sort_key):
+                    x = os.path.join(root, dirname)
+
+                    if not os.path.isdir(x):
+                        continue
+
+                    subdir = os.path.abspath(x)[len(parentdir):].replace("\\", "/")
+
+                    if shared.opts.extra_networks_dir_button_function:
+                        if not subdir.startswith("/"):
+                            subdir = "/" + subdir
+                    else:
+                        while subdir.startswith("/"):
+                            subdir = subdir[1:]
+
+                    is_empty = len(os.listdir(x)) == 0
+                    if not is_empty and not subdir.endswith("/"):
+                        subdir = subdir + "/"
+
+                    if ("/." in subdir or subdir.startswith(".")) and not shared.opts.extra_networks_show_hidden_directories:
+                        continue
+
+                    subdirs[subdir] = 1
+
+        if subdirs:
+            subdirs = {"": 1, **subdirs}
+
+        subdirs_html = "".join([f"""
+<button class='lg secondary gradio-button custom-button{" search-all" if subdir=="" else ""}' onclick='extraNetworksSearchButton("{tabname}_extra_search", event)'>
+{html.escape(subdir if subdir!="" else "all")}
+</button>
+""" for subdir in subdirs])
+
+        self.items = {x["name"]: x for x in self.list_items()}
+        for item in self.items.values():
+            metadata = item.get("metadata")
+            if metadata:
+                self.metadata[item["name"]] = metadata
+
+            if "user_metadata" not in item:
+                self.read_user_metadata(item)
+
+            items_html += self.create_html_for_item(item, tabname)
+
+        if items_html == '':
+            dirs = "".join([f"<li>{x}</li>" for x in self.allowed_directories_for_previews()])
+            items_html = shared.html("extra-networks-no-cards.html").format(dirs=dirs)
+
+        self_name_id = self.name.replace(" ", "_")
+
+        res = f"""
+<div id='{tabname}_{self_name_id}_subdirs' class='extra-network-subdirs extra-network-subdirs-cards'>
+{subdirs_html}
+</div>
+<div id='{tabname}_{self_name_id}_cards' class='extra-network-cards'>
+{items_html}
+</div>
+"""
+
+        return res
+
+    def create_item(self, name, index=None):
+        raise NotImplementedError()
+
+    def list_items(self):
+        raise NotImplementedError()
+
+    def allowed_directories_for_previews(self):
+        return []
+
+    def create_html_for_item(self, item, tabname):
+        """
+        Create HTML for card item in tab tabname; can return empty string if the item is not meant to be shown.
+        """
+
+        preview = item.get("preview", None)
+
+        onclick = item.get("onclick", None)
+        if onclick is None:
+            onclick = '"' + html.escape(f"""return cardClicked({quote_js(tabname)}, {item["prompt"]}, {"true" if self.allow_negative_prompt else "false"})""") + '"'
+
+        height = f"height: {shared.opts.extra_networks_card_height}px;" if shared.opts.extra_networks_card_height else ''
+        width = f"width: {shared.opts.extra_networks_card_width}px;" if shared.opts.extra_networks_card_width else ''
+        background_image = f'<img src="{html.escape(preview)}" class="preview" loading="lazy">' if preview else ''
+        metadata_button = ""
+        metadata = item.get("metadata")
+        if metadata:
+            metadata_button = f"<div class='metadata-button card-button' title='Show internal metadata' onclick='extraNetworksRequestMetadata(event, {quote_js(self.name)}, {quote_js(html.escape(item['name']))})'></div>"
+
+        edit_button = f"<div class='edit-button card-button' title='Edit metadata' onclick='extraNetworksEditUserMetadata(event, {quote_js(tabname)}, {quote_js(self.id_page)}, {quote_js(html.escape(item['name']))})'></div>"
+
+        local_path = ""
+        filename = item.get("filename", "")
+        for reldir in self.allowed_directories_for_previews():
+            absdir = os.path.abspath(reldir)
+
+            if filename.startswith(absdir):
+                local_path = filename[len(absdir):]
+
+        # if this is true, the item must not be shown in the default view, and must instead only be
+        # shown when searching for it
+        if shared.opts.extra_networks_hidden_models == "Always":
+            search_only = False
+        else:
+            search_only = "/." in local_path or "\\." in local_path
+
+        if search_only and shared.opts.extra_networks_hidden_models == "Never":
+            return ""
+
+        sort_keys = " ".join([f'data-sort-{k}="{html.escape(str(v))}"' for k, v in item.get("sort_keys", {}).items()]).strip()
+
+        args = {
+            "background_image": background_image,
+            "style": f"'display: none; {height}{width}; font-size: {shared.opts.extra_networks_card_text_scale*100}%'",
+            "prompt": item.get("prompt", None),
+            "tabname": quote_js(tabname),
+            "local_preview": quote_js(item["local_preview"]),
+            "name": html.escape(item["name"]),
+            "description": (item.get("description") or "" if shared.opts.extra_networks_card_show_desc else ""),
+            "card_clicked": onclick,
+            "save_card_preview": '"' + html.escape(f"""return saveCardPreview(event, {quote_js(tabname)}, {quote_js(item["local_preview"])})""") + '"',
+            "search_term": item.get("search_term", ""),
+            "metadata_button": metadata_button,
+            "edit_button": edit_button,
+            "search_only": " search_only" if search_only else "",
+            "sort_keys": sort_keys,
+        }
+
+        return self.card_page.format(**args)
+
+    def get_sort_keys(self, path):
+        """
+        List of default keys used for sorting in the UI.
+        """
+        pth = Path(path)
+        stat = pth.stat()
+        return {
+            "date_created": int(stat.st_ctime or 0),
+            "date_modified": int(stat.st_mtime or 0),
+            "name": pth.name.lower(),
+            "path": str(pth.parent).lower(),
+        }
+
+    def find_preview(self, path):
+        """
+        Find a preview PNG for a given path (without extension) and call link_preview on it.
+        """
+
+        potential_files = sum([[path + "." + ext, path + ".preview." + ext] for ext in allowed_preview_extensions()], [])
+
+        for file in potential_files:
+            if os.path.isfile(file):
+                return self.link_preview(file)
+
+        return None
+
+    def find_description(self, path):
+        """
+        Find and read a description file for a given path (without extension).
+        """
+        for file in [f"{path}.txt", f"{path}.description.txt"]:
+            try:
+                with open(file, "r", encoding="utf-8", errors="replace") as f:
+                    return f.read()
+            except OSError:
+                pass
+        return None
+
+    def create_user_metadata_editor(self, ui, tabname):
+        return ui_extra_networks_user_metadata.UserMetadataEditor(ui, tabname, self)
+
+
+def initialize():
+    extra_pages.clear()
+
+
+def register_default_pages():
+    from modules.ui_extra_networks_textual_inversion import ExtraNetworksPageTextualInversion
+    from modules.ui_extra_networks_hypernets import ExtraNetworksPageHypernetworks
+    from modules.ui_extra_networks_checkpoints import ExtraNetworksPageCheckpoints
+    register_page(ExtraNetworksPageTextualInversion())
+    register_page(ExtraNetworksPageHypernetworks())
+    register_page(ExtraNetworksPageCheckpoints())
+
+
+class ExtraNetworksUi:
+    def __init__(self):
+        self.pages = None
+        """gradio HTML components related to extra networks' pages"""
+
+        self.page_contents = None
+        """HTML content of the above; empty initially, filled when extra pages have to be shown"""
+
+        self.stored_extra_pages = None
+
+        self.button_save_preview = None
+        self.preview_target_filename = None
+
+        self.tabname = None
+
+
+def pages_in_preferred_order(pages):
+    tab_order = [x.lower().strip() for x in shared.opts.ui_extra_networks_tab_reorder.split(",")]
+
+    def tab_name_score(name):
+        name = name.lower()
+        for i, possible_match in enumerate(tab_order):
+            if possible_match in name:
+                return i
+
+        return len(pages)
+
+    tab_scores = {page.name: (tab_name_score(page.name), original_index) for original_index, page in enumerate(pages)}
+
+    return sorted(pages, key=lambda x: tab_scores[x.name])
+
+
+def create_ui(interface: gr.Blocks, unrelated_tabs, tabname):
+    from modules.ui import switch_values_symbol
+
+    ui = ExtraNetworksUi()
+    ui.pages = []
+    ui.pages_contents = []
+    ui.user_metadata_editors = []
+    ui.stored_extra_pages = pages_in_preferred_order(extra_pages.copy())
+    ui.tabname = tabname
+
+    related_tabs = []
+
+    for page in ui.stored_extra_pages:
+        with gr.Tab(page.title, elem_id=f"{tabname}_{page.id_page}", elem_classes=["extra-page"]) as tab:
+            with gr.Column(elem_id=f"{tabname}_{page.id_page}_prompts", elem_classes=["extra-page-prompts"]):
+                pass
+
+            elem_id = f"{tabname}_{page.id_page}_cards_html"
+            page_elem = gr.HTML('Loading...', elem_id=elem_id)
+            ui.pages.append(page_elem)
+
+            page_elem.change(fn=lambda: None, _js='function(){applyExtraNetworkFilter(' + quote_js(tabname) + '); return []}', inputs=[], outputs=[])
+
+            editor = page.create_user_metadata_editor(ui, tabname)
+            editor.create_ui()
+            ui.user_metadata_editors.append(editor)
+
+            related_tabs.append(tab)
+
+    edit_search = gr.Textbox('', show_label=False, elem_id=tabname+"_extra_search", elem_classes="search", placeholder="Search...", visible=False, interactive=True)
+    dropdown_sort = gr.Dropdown(choices=['Path', 'Name', 'Date Created', 'Date Modified', ], value=shared.opts.extra_networks_card_order_field, elem_id=tabname+"_extra_sort", elem_classes="sort", multiselect=False, visible=False, show_label=False, interactive=True, label=tabname+"_extra_sort_order")
+    button_sortorder = ToolButton(switch_values_symbol, elem_id=tabname+"_extra_sortorder", elem_classes=["sortorder"] + ([] if shared.opts.extra_networks_card_order == "Ascending" else ["sortReverse"]), visible=False, tooltip="Invert sort order")
+    button_refresh = gr.Button('Refresh', elem_id=tabname+"_extra_refresh", visible=False)
+    checkbox_show_dirs = gr.Checkbox(True, label='Show dirs', elem_id=tabname+"_extra_show_dirs", elem_classes="show-dirs", visible=False)
+
+    ui.button_save_preview = gr.Button('Save preview', elem_id=tabname+"_save_preview", visible=False)
+    ui.preview_target_filename = gr.Textbox('Preview save filename', elem_id=tabname+"_preview_filename", visible=False)
+
+    tab_controls = [edit_search, dropdown_sort, button_sortorder, button_refresh, checkbox_show_dirs]
+
+    for tab in unrelated_tabs:
+        tab.select(fn=lambda: [gr.update(visible=False) for _ in tab_controls], _js='function(){ extraNetworksUrelatedTabSelected("' + tabname + '"); }', inputs=[], outputs=tab_controls, show_progress=False)
+
+    for page, tab in zip(ui.stored_extra_pages, related_tabs):
+        allow_prompt = "true" if page.allow_prompt else "false"
+        allow_negative_prompt = "true" if page.allow_negative_prompt else "false"
+
+        jscode = 'extraNetworksTabSelected("' + tabname + '", "' + f"{tabname}_{page.id_page}_prompts" + '", ' + allow_prompt + ', ' + allow_negative_prompt + ');'
+
+        tab.select(fn=lambda: [gr.update(visible=True) for _ in tab_controls],  _js='function(){ ' + jscode + ' }', inputs=[], outputs=tab_controls, show_progress=False)
+
+    dropdown_sort.change(fn=lambda: None, _js="function(){ applyExtraNetworkSort('" + tabname + "'); }")
+
+    def pages_html():
+        if not ui.pages_contents:
+            return refresh()
+
+        return ui.pages_contents
+
+    def refresh():
+        for pg in ui.stored_extra_pages:
+            pg.refresh()
+
+        ui.pages_contents = [pg.create_html(ui.tabname) for pg in ui.stored_extra_pages]
+
+        return ui.pages_contents
+
+    interface.load(fn=pages_html, inputs=[], outputs=[*ui.pages])
+    button_refresh.click(fn=refresh, inputs=[], outputs=ui.pages)
+
+    return ui
+
+
+def path_is_parent(parent_path, child_path):
+    parent_path = os.path.abspath(parent_path)
+    child_path = os.path.abspath(child_path)
+
+    return child_path.startswith(parent_path)
+
+
+def setup_ui(ui, gallery):
+    def save_preview(index, images, filename):
+        # this function is here for backwards compatibility and likely will be removed soon
+
+        if len(images) == 0:
+            print("There is no image in gallery to save as a preview.")
+            return [page.create_html(ui.tabname) for page in ui.stored_extra_pages]
+
+        index = int(index)
+        index = 0 if index < 0 else index
+        index = len(images) - 1 if index >= len(images) else index
+
+        img_info = images[index if index >= 0 else 0]
+        image = image_from_url_text(img_info)
+        geninfo, items = read_info_from_image(image)
+
+        is_allowed = False
+        for extra_page in ui.stored_extra_pages:
+            if any(path_is_parent(x, filename) for x in extra_page.allowed_directories_for_previews()):
+                is_allowed = True
+                break
+
+        assert is_allowed, f'writing to {filename} is not allowed'
+
+        save_image_with_geninfo(image, geninfo, filename)
+
+        return [page.create_html(ui.tabname) for page in ui.stored_extra_pages]
+
+    ui.button_save_preview.click(
+        fn=save_preview,
+        _js="function(x, y, z){return [selected_gallery_index(), y, z]}",
+        inputs=[ui.preview_target_filename, gallery, ui.preview_target_filename],
+        outputs=[*ui.pages]
+    )
+
+    for editor in ui.user_metadata_editors:
+        editor.setup_ui(gallery)
+
+

modules/ui_loadsave.py

@@ -0,0 +1,235 @@
+import json
+import os
+
+import gradio as gr
+
+from modules import errors
+from modules.ui_components import ToolButton, InputAccordion
+
+
+def radio_choices(comp):  # gradio 3.41 changes choices from list of values to list of pairs
+    return [x[0] if isinstance(x, tuple) else x for x in getattr(comp, 'choices', [])]
+
+
+class UiLoadsave:
+    """allows saving and restoring default values for gradio components"""
+
+    def __init__(self, filename):
+        self.filename = filename
+        self.ui_settings = {}
+        self.component_mapping = {}
+        self.error_loading = False
+        self.finalized_ui = False
+
+        self.ui_defaults_view = None
+        self.ui_defaults_apply = None
+        self.ui_defaults_review = None
+
+        try:
+            if os.path.exists(self.filename):
+                self.ui_settings = self.read_from_file()
+        except Exception as e:
+            self.error_loading = True
+            errors.display(e, "loading settings")
+
+    def add_component(self, path, x):
+        """adds component to the registry of tracked components"""
+
+        assert not self.finalized_ui
+
+        def apply_field(obj, field, condition=None, init_field=None):
+            key = f"{path}/{field}"
+
+            if getattr(obj, 'custom_script_source', None) is not None:
+                key = f"customscript/{obj.custom_script_source}/{key}"
+
+            if getattr(obj, 'do_not_save_to_config', False):
+                return
+
+            saved_value = self.ui_settings.get(key, None)
+
+            if isinstance(obj, gr.Accordion) and isinstance(x, InputAccordion) and field == 'value':
+                field = 'open'
+
+            if saved_value is None:
+                self.ui_settings[key] = getattr(obj, field)
+            elif condition and not condition(saved_value):
+                pass
+            else:
+                if isinstance(obj, gr.Textbox) and field == 'value':  # due to an undesirable behavior of gr.Textbox, if you give it an int value instead of str, everything dies
+                    saved_value = str(saved_value)
+                elif isinstance(obj, gr.Number) and field == 'value':
+                    try:
+                        saved_value = float(saved_value)
+                    except ValueError:
+                        return
+
+                setattr(obj, field, saved_value)
+                if init_field is not None:
+                    init_field(saved_value)
+
+            if field == 'value' and key not in self.component_mapping:
+                self.component_mapping[key] = obj
+
+        if type(x) in [gr.Slider, gr.Radio, gr.Checkbox, gr.Textbox, gr.Number, gr.Dropdown, ToolButton, gr.Button] and x.visible:
+            apply_field(x, 'visible')
+
+        if type(x) == gr.Slider:
+            apply_field(x, 'value')
+            apply_field(x, 'minimum')
+            apply_field(x, 'maximum')
+            apply_field(x, 'step')
+
+        if type(x) == gr.Radio:
+            apply_field(x, 'value', lambda val: val in radio_choices(x))
+
+        if type(x) == gr.Checkbox:
+            apply_field(x, 'value')
+
+        if type(x) == gr.Textbox:
+            apply_field(x, 'value')
+
+        if type(x) == gr.Number:
+            apply_field(x, 'value')
+
+        if type(x) == gr.Dropdown:
+            def check_dropdown(val):
+                choices = radio_choices(x)
+                if getattr(x, 'multiselect', False):
+                    return all(value in choices for value in val)
+                else:
+                    return val in choices
+
+            apply_field(x, 'value', check_dropdown, getattr(x, 'init_field', None))
+
+        if type(x) == InputAccordion:
+            if x.accordion.visible:
+                apply_field(x.accordion, 'visible')
+            apply_field(x, 'value')
+            apply_field(x.accordion, 'value')
+
+        def check_tab_id(tab_id):
+            tab_items = list(filter(lambda e: isinstance(e, gr.TabItem), x.children))
+            if type(tab_id) == str:
+                tab_ids = [t.id for t in tab_items]
+                return tab_id in tab_ids
+            elif type(tab_id) == int:
+                return 0 <= tab_id < len(tab_items)
+            else:
+                return False
+
+        if type(x) == gr.Tabs:
+            apply_field(x, 'selected', check_tab_id)
+
+    def add_block(self, x, path=""):
+        """adds all components inside a gradio block x to the registry of tracked components"""
+
+        if hasattr(x, 'children'):
+            if isinstance(x, gr.Tabs) and x.elem_id is not None:
+                # Tabs element can't have a label, have to use elem_id instead
+                self.add_component(f"{path}/Tabs@{x.elem_id}", x)
+            for c in x.children:
+                self.add_block(c, path)
+        elif x.label is not None:
+            self.add_component(f"{path}/{x.label}", x)
+        elif isinstance(x, gr.Button) and x.value is not None:
+            self.add_component(f"{path}/{x.value}", x)
+
+    def read_from_file(self):
+        with open(self.filename, "r", encoding="utf8") as file:
+            return json.load(file)
+
+    def write_to_file(self, current_ui_settings):
+        with open(self.filename, "w", encoding="utf8") as file:
+            json.dump(current_ui_settings, file, indent=4, ensure_ascii=False)
+
+    def dump_defaults(self):
+        """saves default values to a file unless tjhe file is present and there was an error loading default values at start"""
+
+        if self.error_loading and os.path.exists(self.filename):
+            return
+
+        self.write_to_file(self.ui_settings)
+
+    def iter_changes(self, current_ui_settings, values):
+        """
+        given a dictionary with defaults from a file and current values from gradio elements, returns
+        an iterator over tuples of values that are not the same between the file and the current;
+        tuple contents are: path, old value, new value
+        """
+
+        for (path, component), new_value in zip(self.component_mapping.items(), values):
+            old_value = current_ui_settings.get(path)
+
+            choices = radio_choices(component)
+            if isinstance(new_value, int) and choices:
+                if new_value >= len(choices):
+                    continue
+
+                new_value = choices[new_value]
+                if isinstance(new_value, tuple):
+                    new_value = new_value[0]
+
+            if new_value == old_value:
+                continue
+
+            if old_value is None and new_value == '' or new_value == []:
+                continue
+
+            yield path, old_value, new_value
+
+    def ui_view(self, *values):
+        text = ["<table><thead><tr><th>Path</th><th>Old value</th><th>New value</th></thead><tbody>"]
+
+        for path, old_value, new_value in self.iter_changes(self.read_from_file(), values):
+            if old_value is None:
+                old_value = "<span class='ui-defaults-none'>None</span>"
+
+            text.append(f"<tr><td>{path}</td><td>{old_value}</td><td>{new_value}</td></tr>")
+
+        if len(text) == 1:
+            text.append("<tr><td colspan=3>No changes</td></tr>")
+
+        text.append("</tbody>")
+        return "".join(text)
+
+    def ui_apply(self, *values):
+        num_changed = 0
+
+        current_ui_settings = self.read_from_file()
+
+        for path, _, new_value in self.iter_changes(current_ui_settings.copy(), values):
+            num_changed += 1
+            current_ui_settings[path] = new_value
+
+        if num_changed == 0:
+            return "No changes."
+
+        self.write_to_file(current_ui_settings)
+
+        return f"Wrote {num_changed} changes."
+
+    def create_ui(self):
+        """creates ui elements for editing defaults UI, without adding any logic to them"""
+
+        gr.HTML(
+            f"This page allows you to change default values in UI elements on other tabs.<br />"
+            f"Make your changes, press 'View changes' to review the changed default values,<br />"
+            f"then press 'Apply' to write them to {self.filename}.<br />"
+            f"New defaults will apply after you restart the UI.<br />"
+        )
+
+        with gr.Row():
+            self.ui_defaults_view = gr.Button(value='View changes', elem_id="ui_defaults_view", variant="secondary")
+            self.ui_defaults_apply = gr.Button(value='Apply', elem_id="ui_defaults_apply", variant="primary")
+
+        self.ui_defaults_review = gr.HTML("")
+
+    def setup_ui(self):
+        """adds logic to elements created with create_ui; all add_block class must be made before this"""
+
+        assert not self.finalized_ui
+        self.finalized_ui = True
+
+        self.ui_defaults_view.click(fn=self.ui_view, inputs=list(self.component_mapping.values()), outputs=[self.ui_defaults_review])
+        self.ui_defaults_apply.click(fn=self.ui_apply, inputs=list(self.component_mapping.values()), outputs=[self.ui_defaults_review])

modules/ui_postprocessing.py

@@ -0,0 +1,63 @@
+import gradio as gr
+from modules import scripts, shared, ui_common, postprocessing, call_queue, ui_toprow
+import modules.generation_parameters_copypaste as parameters_copypaste
+
+
+def create_ui():
+    dummy_component = gr.Label(visible=False)
+    tab_index = gr.State(value=0)
+
+    with gr.Row(equal_height=False, variant='compact'):
+        with gr.Column(variant='compact'):
+            with gr.Tabs(elem_id="mode_extras"):
+                with gr.TabItem('Single Image', id="single_image", elem_id="extras_single_tab") as tab_single:
+                    extras_image = gr.Image(label="Source", source="upload", interactive=True, type="pil", elem_id="extras_image")
+
+                with gr.TabItem('Batch Process', id="batch_process", elem_id="extras_batch_process_tab") as tab_batch:
+                    image_batch = gr.Files(label="Batch Process", interactive=True, elem_id="extras_image_batch")
+
+                with gr.TabItem('Batch from Directory', id="batch_from_directory", elem_id="extras_batch_directory_tab") as tab_batch_dir:
+                    extras_batch_input_dir = gr.Textbox(label="Input directory", **shared.hide_dirs, placeholder="A directory on the same machine where the server is running.", elem_id="extras_batch_input_dir")
+                    extras_batch_output_dir = gr.Textbox(label="Output directory", **shared.hide_dirs, placeholder="Leave blank to save images to the default path.", elem_id="extras_batch_output_dir")
+                    show_extras_results = gr.Checkbox(label='Show result images', value=True, elem_id="extras_show_extras_results")
+
+            script_inputs = scripts.scripts_postproc.setup_ui()
+
+        with gr.Column():
+            toprow = ui_toprow.Toprow(is_compact=True, is_img2img=False, id_part="extras")
+            toprow.create_inline_toprow_image()
+            submit = toprow.submit
+
+            result_images, html_info_x, html_info, html_log = ui_common.create_output_panel("extras", shared.opts.outdir_extras_samples)
+
+    tab_single.select(fn=lambda: 0, inputs=[], outputs=[tab_index])
+    tab_batch.select(fn=lambda: 1, inputs=[], outputs=[tab_index])
+    tab_batch_dir.select(fn=lambda: 2, inputs=[], outputs=[tab_index])
+
+    submit.click(
+        fn=call_queue.wrap_gradio_gpu_call(postprocessing.run_postprocessing_webui, extra_outputs=[None, '']),
+        _js="submit_extras",
+        inputs=[
+            dummy_component,
+            tab_index,
+            extras_image,
+            image_batch,
+            extras_batch_input_dir,
+            extras_batch_output_dir,
+            show_extras_results,
+            *script_inputs
+        ],
+        outputs=[
+            result_images,
+            html_info_x,
+            html_log,
+        ],
+        show_progress=False,
+    )
+
+    parameters_copypaste.add_paste_fields("extras", extras_image, None)
+
+    extras_image.change(
+        fn=scripts.scripts_postproc.image_changed,
+        inputs=[], outputs=[]
+    )

modules/ui_prompt_styles.py

@@ -0,0 +1,120 @@
+import gradio as gr
+
+from modules import shared, ui_common, ui_components, styles
+
+styles_edit_symbol = '\U0001f58c\uFE0F'  # 🖌️
+styles_materialize_symbol = '\U0001f4cb'  # 📋
+styles_copy_symbol = '\U0001f4dd'  # 📝
+
+
+def select_style(name):
+    style = shared.prompt_styles.styles.get(name)
+    existing = style is not None
+    empty = not name
+
+    prompt = style.prompt if style else gr.update()
+    negative_prompt = style.negative_prompt if style else gr.update()
+
+    return prompt, negative_prompt, gr.update(visible=existing), gr.update(visible=not empty)
+
+
+def save_style(name, prompt, negative_prompt):
+    if not name:
+        return gr.update(visible=False)
+
+    style = styles.PromptStyle(name, prompt, negative_prompt)
+    shared.prompt_styles.styles[style.name] = style
+    shared.prompt_styles.save_styles(shared.styles_filename)
+
+    return gr.update(visible=True)
+
+
+def delete_style(name):
+    if name == "":
+        return
+
+    shared.prompt_styles.styles.pop(name, None)
+    shared.prompt_styles.save_styles(shared.styles_filename)
+
+    return '', '', ''
+
+
+def materialize_styles(prompt, negative_prompt, styles):
+    prompt = shared.prompt_styles.apply_styles_to_prompt(prompt, styles)
+    negative_prompt = shared.prompt_styles.apply_negative_styles_to_prompt(negative_prompt, styles)
+
+    return [gr.Textbox.update(value=prompt), gr.Textbox.update(value=negative_prompt), gr.Dropdown.update(value=[])]
+
+
+def refresh_styles():
+    return gr.update(choices=list(shared.prompt_styles.styles)), gr.update(choices=list(shared.prompt_styles.styles))
+
+
+class UiPromptStyles:
+    def __init__(self, tabname, main_ui_prompt, main_ui_negative_prompt):
+        self.tabname = tabname
+        self.main_ui_prompt = main_ui_prompt
+        self.main_ui_negative_prompt = main_ui_negative_prompt
+
+        with gr.Row(elem_id=f"{tabname}_styles_row"):
+            self.dropdown = gr.Dropdown(label="Styles", show_label=False, elem_id=f"{tabname}_styles", choices=list(shared.prompt_styles.styles), value=[], multiselect=True, tooltip="Styles")
+            edit_button = ui_components.ToolButton(value=styles_edit_symbol, elem_id=f"{tabname}_styles_edit_button", tooltip="Edit styles")
+
+        with gr.Box(elem_id=f"{tabname}_styles_dialog", elem_classes="popup-dialog") as styles_dialog:
+            with gr.Row():
+                self.selection = gr.Dropdown(label="Styles", elem_id=f"{tabname}_styles_edit_select", choices=list(shared.prompt_styles.styles), value=[], allow_custom_value=True, info="Styles allow you to add custom text to prompt. Use the {prompt} token in style text, and it will be replaced with user's prompt when applying style. Otherwise, style's text will be added to the end of the prompt.")
+                ui_common.create_refresh_button([self.dropdown, self.selection], shared.prompt_styles.reload, lambda: {"choices": list(shared.prompt_styles.styles)}, f"refresh_{tabname}_styles")
+                self.materialize = ui_components.ToolButton(value=styles_materialize_symbol, elem_id=f"{tabname}_style_apply_dialog", tooltip="Apply all selected styles from the style selction dropdown in main UI to the prompt.")
+                self.copy = ui_components.ToolButton(value=styles_copy_symbol, elem_id=f"{tabname}_style_copy", tooltip="Copy main UI prompt to style.")
+
+            with gr.Row():
+                self.prompt = gr.Textbox(label="Prompt", show_label=True, elem_id=f"{tabname}_edit_style_prompt", lines=3, elem_classes=["prompt"])
+
+            with gr.Row():
+                self.neg_prompt = gr.Textbox(label="Negative prompt", show_label=True, elem_id=f"{tabname}_edit_style_neg_prompt", lines=3, elem_classes=["prompt"])
+
+            with gr.Row():
+                self.save = gr.Button('Save', variant='primary', elem_id=f'{tabname}_edit_style_save', visible=False)
+                self.delete = gr.Button('Delete', variant='primary', elem_id=f'{tabname}_edit_style_delete', visible=False)
+                self.close = gr.Button('Close', variant='secondary', elem_id=f'{tabname}_edit_style_close')
+
+        self.selection.change(
+            fn=select_style,
+            inputs=[self.selection],
+            outputs=[self.prompt, self.neg_prompt, self.delete, self.save],
+            show_progress=False,
+        )
+
+        self.save.click(
+            fn=save_style,
+            inputs=[self.selection, self.prompt, self.neg_prompt],
+            outputs=[self.delete],
+            show_progress=False,
+        ).then(refresh_styles, outputs=[self.dropdown, self.selection], show_progress=False)
+
+        self.delete.click(
+            fn=delete_style,
+            _js='function(name){ if(name == "") return ""; return confirm("Delete style " + name + "?") ? name : ""; }',
+            inputs=[self.selection],
+            outputs=[self.selection, self.prompt, self.neg_prompt],
+            show_progress=False,
+        ).then(refresh_styles, outputs=[self.dropdown, self.selection], show_progress=False)
+
+        self.setup_apply_button(self.materialize)
+
+        self.copy.click(
+            fn=lambda p, n: (p, n),
+            inputs=[main_ui_prompt, main_ui_negative_prompt],
+            outputs=[self.prompt, self.neg_prompt],
+            show_progress=False,
+        )
+
+        ui_common.setup_dialog(button_show=edit_button, dialog=styles_dialog, button_close=self.close)
+
+    def setup_apply_button(self, button):
+        button.click(
+            fn=materialize_styles,
+            inputs=[self.main_ui_prompt, self.main_ui_negative_prompt, self.dropdown],
+            outputs=[self.main_ui_prompt, self.main_ui_negative_prompt, self.dropdown],
+            show_progress=False,
+        ).then(fn=None, _js="function(){update_"+self.tabname+"_tokens(); closePopup();}", show_progress=False)

modules/ui_settings.py

@@ -0,0 +1,337 @@
+import gradio as gr
+
+from modules import ui_common, shared, script_callbacks, scripts, sd_models, sysinfo, timer
+from modules.call_queue import wrap_gradio_call
+from modules.shared import opts
+from modules.ui_components import FormRow
+from modules.ui_gradio_extensions import reload_javascript
+from concurrent.futures import ThreadPoolExecutor, as_completed
+
+
+def get_value_for_setting(key):
+    value = getattr(opts, key)
+
+    info = opts.data_labels[key]
+    args = info.component_args() if callable(info.component_args) else info.component_args or {}
+    args = {k: v for k, v in args.items() if k not in {'precision'}}
+
+    return gr.update(value=value, **args)
+
+
+def create_setting_component(key, is_quicksettings=False):
+    def fun():
+        return opts.data[key] if key in opts.data else opts.data_labels[key].default
+
+    info = opts.data_labels[key]
+    t = type(info.default)
+
+    args = info.component_args() if callable(info.component_args) else info.component_args
+
+    if info.component is not None:
+        comp = info.component
+    elif t == str:
+        comp = gr.Textbox
+    elif t == int:
+        comp = gr.Number
+    elif t == bool:
+        comp = gr.Checkbox
+    else:
+        raise Exception(f'bad options item type: {t} for key {key}')
+
+    elem_id = f"setting_{key}"
+
+    if info.refresh is not None:
+        if is_quicksettings:
+            res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+            ui_common.create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
+        else:
+            with FormRow():
+                res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+                ui_common.create_refresh_button(res, info.refresh, info.component_args, f"refresh_{key}")
+    else:
+        res = comp(label=info.label, value=fun(), elem_id=elem_id, **(args or {}))
+
+    return res
+
+
+class UiSettings:
+    submit = None
+    result = None
+    interface = None
+    components = None
+    component_dict = None
+    dummy_component = None
+    quicksettings_list = None
+    quicksettings_names = None
+    text_settings = None
+    show_all_pages = None
+    show_one_page = None
+    search_input = None
+
+    def run_settings(self, *args):
+        changed = []
+
+        for key, value, comp in zip(opts.data_labels.keys(), args, self.components):
+            assert comp == self.dummy_component or opts.same_type(value, opts.data_labels[key].default), f"Bad value for setting {key}: {value}; expecting {type(opts.data_labels[key].default).__name__}"
+
+        for key, value, comp in zip(opts.data_labels.keys(), args, self.components):
+            if comp == self.dummy_component:
+                continue
+
+            if opts.set(key, value):
+                changed.append(key)
+
+        try:
+            opts.save(shared.config_filename)
+        except RuntimeError:
+            return opts.dumpjson(), f'{len(changed)} settings changed without save: {", ".join(changed)}.'
+        return opts.dumpjson(), f'{len(changed)} settings changed{": " if changed else ""}{", ".join(changed)}.'
+
+    def run_settings_single(self, value, key):
+        if not opts.same_type(value, opts.data_labels[key].default):
+            return gr.update(visible=True), opts.dumpjson()
+
+        if value is None or not opts.set(key, value):
+            return gr.update(value=getattr(opts, key)), opts.dumpjson()
+
+        opts.save(shared.config_filename)
+
+        return get_value_for_setting(key), opts.dumpjson()
+
+    def create_ui(self, loadsave, dummy_component):
+        self.components = []
+        self.component_dict = {}
+        self.dummy_component = dummy_component
+
+        shared.settings_components = self.component_dict
+
+        script_callbacks.ui_settings_callback()
+        opts.reorder()
+
+        with gr.Blocks(analytics_enabled=False) as settings_interface:
+            with gr.Row():
+                with gr.Column(scale=6):
+                    self.submit = gr.Button(value="Apply settings", variant='primary', elem_id="settings_submit")
+                with gr.Column():
+                    restart_gradio = gr.Button(value='Reload UI', variant='primary', elem_id="settings_restart_gradio")
+
+            self.result = gr.HTML(elem_id="settings_result")
+
+            self.quicksettings_names = opts.quicksettings_list
+            self.quicksettings_names = {x: i for i, x in enumerate(self.quicksettings_names) if x != 'quicksettings'}
+
+            self.quicksettings_list = []
+
+            previous_section = None
+            current_tab = None
+            current_row = None
+            with gr.Tabs(elem_id="settings"):
+                for i, (k, item) in enumerate(opts.data_labels.items()):
+                    section_must_be_skipped = item.section[0] is None
+
+                    if previous_section != item.section and not section_must_be_skipped:
+                        elem_id, text = item.section
+
+                        if current_tab is not None:
+                            current_row.__exit__()
+                            current_tab.__exit__()
+
+                        gr.Group()
+                        current_tab = gr.TabItem(elem_id=f"settings_{elem_id}", label=text)
+                        current_tab.__enter__()
+                        current_row = gr.Column(elem_id=f"column_settings_{elem_id}", variant='compact')
+                        current_row.__enter__()
+
+                        previous_section = item.section
+
+                    if k in self.quicksettings_names and not shared.cmd_opts.freeze_settings:
+                        self.quicksettings_list.append((i, k, item))
+                        self.components.append(dummy_component)
+                    elif section_must_be_skipped:
+                        self.components.append(dummy_component)
+                    else:
+                        component = create_setting_component(k)
+                        self.component_dict[k] = component
+                        self.components.append(component)
+
+                if current_tab is not None:
+                    current_row.__exit__()
+                    current_tab.__exit__()
+
+                with gr.TabItem("Defaults", id="defaults", elem_id="settings_tab_defaults"):
+                    loadsave.create_ui()
+
+                with gr.TabItem("Sysinfo", id="sysinfo", elem_id="settings_tab_sysinfo"):
+                    gr.HTML('<a href="./internal/sysinfo-download" class="sysinfo_big_link" download>Download system info</a><br /><a href="./internal/sysinfo" target="_blank">(or open as text in a new page)</a>', elem_id="sysinfo_download")
+
+                    with gr.Row():
+                        with gr.Column(scale=1):
+                            sysinfo_check_file = gr.File(label="Check system info for validity", type='binary')
+                        with gr.Column(scale=1):
+                            sysinfo_check_output = gr.HTML("", elem_id="sysinfo_validity")
+                        with gr.Column(scale=100):
+                            pass
+
+                with gr.TabItem("Actions", id="actions", elem_id="settings_tab_actions"):
+                    request_notifications = gr.Button(value='Request browser notifications', elem_id="request_notifications")
+                    download_localization = gr.Button(value='Download localization template', elem_id="download_localization")
+                    reload_script_bodies = gr.Button(value='Reload custom script bodies (No ui updates, No restart)', variant='secondary', elem_id="settings_reload_script_bodies")
+                    with gr.Row():
+                        unload_sd_model = gr.Button(value='Unload SD checkpoint to RAM', elem_id="sett_unload_sd_model")
+                        reload_sd_model = gr.Button(value='Load SD checkpoint to VRAM from RAM', elem_id="sett_reload_sd_model")
+                    with gr.Row():
+                        calculate_all_checkpoint_hash = gr.Button(value='Calculate hash for all checkpoint', elem_id="calculate_all_checkpoint_hash")
+                        calculate_all_checkpoint_hash_threads = gr.Number(value=1, label="Number of parallel calculations", elem_id="calculate_all_checkpoint_hash_threads", precision=0, minimum=1)
+
+                with gr.TabItem("Licenses", id="licenses", elem_id="settings_tab_licenses"):
+                    gr.HTML(shared.html("licenses.html"), elem_id="licenses")
+
+                self.show_all_pages = gr.Button(value="Show all pages", elem_id="settings_show_all_pages")
+                self.show_one_page = gr.Button(value="Show only one page", elem_id="settings_show_one_page", visible=False)
+                self.show_one_page.click(lambda: None)
+
+                self.search_input = gr.Textbox(value="", elem_id="settings_search", max_lines=1, placeholder="Search...", show_label=False)
+
+                self.text_settings = gr.Textbox(elem_id="settings_json", value=lambda: opts.dumpjson(), visible=False)
+
+            def call_func_and_return_text(func, text):
+                def handler():
+                    t = timer.Timer()
+                    func()
+                    t.record(text)
+
+                    return f'{text} in {t.total:.1f}s'
+
+                return handler
+
+            unload_sd_model.click(
+                fn=call_func_and_return_text(sd_models.unload_model_weights, 'Unloaded the checkpoint'),
+                inputs=[],
+                outputs=[self.result]
+            )
+
+            reload_sd_model.click(
+                fn=call_func_and_return_text(lambda: sd_models.send_model_to_device(shared.sd_model), 'Loaded the checkpoint'),
+                inputs=[],
+                outputs=[self.result]
+            )
+
+            request_notifications.click(
+                fn=lambda: None,
+                inputs=[],
+                outputs=[],
+                _js='function(){}'
+            )
+
+            download_localization.click(
+                fn=lambda: None,
+                inputs=[],
+                outputs=[],
+                _js='download_localization'
+            )
+
+            def reload_scripts():
+                scripts.reload_script_body_only()
+                reload_javascript()  # need to refresh the html page
+
+            reload_script_bodies.click(
+                fn=reload_scripts,
+                inputs=[],
+                outputs=[]
+            )
+
+            restart_gradio.click(
+                fn=shared.state.request_restart,
+                _js='restart_reload',
+                inputs=[],
+                outputs=[],
+            )
+
+            def check_file(x):
+                if x is None:
+                    return ''
+
+                if sysinfo.check(x.decode('utf8', errors='ignore')):
+                    return 'Valid'
+
+                return 'Invalid'
+
+            sysinfo_check_file.change(
+                fn=check_file,
+                inputs=[sysinfo_check_file],
+                outputs=[sysinfo_check_output],
+            )
+
+            def calculate_all_checkpoint_hash_fn(max_thread):
+                checkpoints_list = sd_models.checkpoints_list.values()
+                with ThreadPoolExecutor(max_workers=max_thread) as executor:
+                    futures = [executor.submit(checkpoint.calculate_shorthash) for checkpoint in checkpoints_list]
+                    completed = 0
+                    for _ in as_completed(futures):
+                        completed += 1
+                        print(f"{completed} / {len(checkpoints_list)} ")
+                    print("Finish calculating hash for all checkpoints")
+
+            calculate_all_checkpoint_hash.click(
+                fn=calculate_all_checkpoint_hash_fn,
+                inputs=[calculate_all_checkpoint_hash_threads],
+            )
+
+        self.interface = settings_interface
+
+    def add_quicksettings(self):
+        with gr.Row(elem_id="quicksettings", variant="compact"):
+            for _i, k, _item in sorted(self.quicksettings_list, key=lambda x: self.quicksettings_names.get(x[1], x[0])):
+                component = create_setting_component(k, is_quicksettings=True)
+                self.component_dict[k] = component
+
+    def add_functionality(self, demo):
+        self.submit.click(
+            fn=wrap_gradio_call(lambda *args: self.run_settings(*args), extra_outputs=[gr.update()]),
+            inputs=self.components,
+            outputs=[self.text_settings, self.result],
+        )
+
+        for _i, k, _item in self.quicksettings_list:
+            component = self.component_dict[k]
+            info = opts.data_labels[k]
+
+            if isinstance(component, gr.Textbox):
+                methods = [component.submit, component.blur]
+            elif hasattr(component, 'release'):
+                methods = [component.release]
+            else:
+                methods = [component.change]
+
+            for method in methods:
+                method(
+                    fn=lambda value, k=k: self.run_settings_single(value, key=k),
+                    inputs=[component],
+                    outputs=[component, self.text_settings],
+                    show_progress=info.refresh is not None,
+                )
+
+        button_set_checkpoint = gr.Button('Change checkpoint', elem_id='change_checkpoint', visible=False)
+        button_set_checkpoint.click(
+            fn=lambda value, _: self.run_settings_single(value, key='sd_model_checkpoint'),
+            _js="function(v){ var res = desiredCheckpointName; desiredCheckpointName = ''; return [res || v, null]; }",
+            inputs=[self.component_dict['sd_model_checkpoint'], self.dummy_component],
+            outputs=[self.component_dict['sd_model_checkpoint'], self.text_settings],
+        )
+
+        component_keys = [k for k in opts.data_labels.keys() if k in self.component_dict]
+
+        def get_settings_values():
+            return [get_value_for_setting(key) for key in component_keys]
+
+        demo.load(
+            fn=get_settings_values,
+            inputs=[],
+            outputs=[self.component_dict[k] for k in component_keys],
+            queue=False,
+        )
+
+    def search(self, text):
+        print(text)
+
+        return [gr.update(visible=text in (comp.label or "")) for comp in self.components]

modules/ui_tempdir.py

@@ -0,0 +1,88 @@
+import os
+import tempfile
+from collections import namedtuple
+from pathlib import Path
+
+import gradio.components
+
+from PIL import PngImagePlugin
+
+from modules import shared
+
+
+Savedfile = namedtuple("Savedfile", ["name"])
+
+
+def register_tmp_file(gradio, filename):
+    if hasattr(gradio, 'temp_file_sets'):  # gradio 3.15
+        gradio.temp_file_sets[0] = gradio.temp_file_sets[0] | {os.path.abspath(filename)}
+
+    if hasattr(gradio, 'temp_dirs'):  # gradio 3.9
+        gradio.temp_dirs = gradio.temp_dirs | {os.path.abspath(os.path.dirname(filename))}
+
+
+def check_tmp_file(gradio, filename):
+    if hasattr(gradio, 'temp_file_sets'):
+        return any(filename in fileset for fileset in gradio.temp_file_sets)
+
+    if hasattr(gradio, 'temp_dirs'):
+        return any(Path(temp_dir).resolve() in Path(filename).resolve().parents for temp_dir in gradio.temp_dirs)
+
+    return False
+
+
+def save_pil_to_file(self, pil_image, dir=None, format="png"):
+    already_saved_as = getattr(pil_image, 'already_saved_as', None)
+    if already_saved_as and os.path.isfile(already_saved_as):
+        register_tmp_file(shared.demo, already_saved_as)
+        filename = already_saved_as
+
+        if not shared.opts.save_images_add_number:
+            filename += f'?{os.path.getmtime(already_saved_as)}'
+
+        return filename
+
+    if shared.opts.temp_dir != "":
+        dir = shared.opts.temp_dir
+    else:
+        os.makedirs(dir, exist_ok=True)
+
+    use_metadata = False
+    metadata = PngImagePlugin.PngInfo()
+    for key, value in pil_image.info.items():
+        if isinstance(key, str) and isinstance(value, str):
+            metadata.add_text(key, value)
+            use_metadata = True
+
+    file_obj = tempfile.NamedTemporaryFile(delete=False, suffix=".png", dir=dir)
+    pil_image.save(file_obj, pnginfo=(metadata if use_metadata else None))
+    return file_obj.name
+
+
+def install_ui_tempdir_override():
+    """override save to file function so that it also writes PNG info"""
+    gradio.components.IOComponent.pil_to_temp_file = save_pil_to_file
+
+
+def on_tmpdir_changed():
+    if shared.opts.temp_dir == "" or shared.demo is None:
+        return
+
+    os.makedirs(shared.opts.temp_dir, exist_ok=True)
+
+    register_tmp_file(shared.demo, os.path.join(shared.opts.temp_dir, "x"))
+
+
+def cleanup_tmpdr():
+    temp_dir = shared.opts.temp_dir
+    if temp_dir == "" or not os.path.isdir(temp_dir):
+        return
+
+    for root, _, files in os.walk(temp_dir, topdown=False):
+        for name in files:
+            _, extension = os.path.splitext(name)
+            if extension != ".png":
+                continue
+
+            filename = os.path.join(root, name)
+            os.remove(filename)

modules/ui_toprow.py

@@ -0,0 +1,143 @@
+import gradio as gr
+
+from modules import shared, ui_prompt_styles
+import modules.images
+
+from modules.ui_components import ToolButton
+
+
+class Toprow:
+    """Creates a top row UI with prompts, generate button, styles, extra little buttons for things, and enables some functionality related to their operation"""
+
+    prompt = None
+    prompt_img = None
+    negative_prompt = None
+
+    button_interrogate = None
+    button_deepbooru = None
+
+    interrupt = None
+    skip = None
+    submit = None
+
+    paste = None
+    clear_prompt_button = None
+    apply_styles = None
+    restore_progress_button = None
+
+    token_counter = None
+    token_button = None
+    negative_token_counter = None
+    negative_token_button = None
+
+    ui_styles = None
+
+    submit_box = None
+
+    def __init__(self, is_img2img, is_compact=False, id_part=None):
+        if id_part is None:
+            id_part = "img2img" if is_img2img else "txt2img"
+
+        self.id_part = id_part
+        self.is_img2img = is_img2img
+        self.is_compact = is_compact
+
+        if not is_compact:
+            with gr.Row(elem_id=f"{id_part}_toprow", variant="compact"):
+                self.create_classic_toprow()
+        else:
+            self.create_submit_box()
+
+    def create_classic_toprow(self):
+        self.create_prompts()
+
+        with gr.Column(scale=1, elem_id=f"{self.id_part}_actions_column"):
+            self.create_submit_box()
+
+            self.create_tools_row()
+
+            self.create_styles_ui()
+
+    def create_inline_toprow_prompts(self):
+        if not self.is_compact:
+            return
+
+        self.create_prompts()
+
+        with gr.Row(elem_classes=["toprow-compact-stylerow"]):
+            with gr.Column(elem_classes=["toprow-compact-tools"]):
+                self.create_tools_row()
+            with gr.Column():
+                self.create_styles_ui()
+
+    def create_inline_toprow_image(self):
+        if not self.is_compact:
+            return
+
+        self.submit_box.render()
+
+    def create_prompts(self):
+        with gr.Column(elem_id=f"{self.id_part}_prompt_container", elem_classes=["prompt-container-compact"] if self.is_compact else [], scale=6):
+            with gr.Row(elem_id=f"{self.id_part}_prompt_row", elem_classes=["prompt-row"]):
+                self.prompt = gr.Textbox(label="Prompt", elem_id=f"{self.id_part}_prompt", show_label=False, lines=3, placeholder="Prompt (press Ctrl+Enter or Alt+Enter to generate)", elem_classes=["prompt"])
+                self.prompt_img = gr.File(label="", elem_id=f"{self.id_part}_prompt_image", file_count="single", type="binary", visible=False)
+
+            with gr.Row(elem_id=f"{self.id_part}_neg_prompt_row", elem_classes=["prompt-row"]):
+                self.negative_prompt = gr.Textbox(label="Negative prompt", elem_id=f"{self.id_part}_neg_prompt", show_label=False, lines=3, placeholder="Negative prompt (press Ctrl+Enter or Alt+Enter to generate)", elem_classes=["prompt"])
+
+        self.prompt_img.change(
+            fn=modules.images.image_data,
+            inputs=[self.prompt_img],
+            outputs=[self.prompt, self.prompt_img],
+            show_progress=False,
+        )
+
+    def create_submit_box(self):
+        with gr.Row(elem_id=f"{self.id_part}_generate_box", elem_classes=["generate-box"] + (["generate-box-compact"] if self.is_compact else []), render=not self.is_compact) as submit_box:
+            self.submit_box = submit_box
+
+            self.interrupt = gr.Button('Interrupt', elem_id=f"{self.id_part}_interrupt", elem_classes="generate-box-interrupt")
+            self.skip = gr.Button('Skip', elem_id=f"{self.id_part}_skip", elem_classes="generate-box-skip")
+            self.submit = gr.Button('Generate', elem_id=f"{self.id_part}_generate", variant='primary')
+
+            self.skip.click(
+                fn=lambda: shared.state.skip(),
+                inputs=[],
+                outputs=[],
+            )
+
+            self.interrupt.click(
+                fn=lambda: shared.state.interrupt(),
+                inputs=[],
+                outputs=[],
+            )
+
+    def create_tools_row(self):
+        with gr.Row(elem_id=f"{self.id_part}_tools"):
+            from modules.ui import paste_symbol, clear_prompt_symbol, restore_progress_symbol
+
+            self.paste = ToolButton(value=paste_symbol, elem_id="paste", tooltip="Read generation parameters from prompt or last generation if prompt is empty into user interface.")
+            self.clear_prompt_button = ToolButton(value=clear_prompt_symbol, elem_id=f"{self.id_part}_clear_prompt", tooltip="Clear prompt")
+            self.apply_styles = ToolButton(value=ui_prompt_styles.styles_materialize_symbol, elem_id=f"{self.id_part}_style_apply", tooltip="Apply all selected styles to prompts.")
+
+            if self.is_img2img:
+                self.button_interrogate = ToolButton('📎', tooltip='Interrogate CLIP - use CLIP neural network to create a text describing the image, and put it into the prompt field', elem_id="interrogate")
+                self.button_deepbooru = ToolButton('📦', tooltip='Interrogate DeepBooru - use DeepBooru neural network to create a text describing the image, and put it into the prompt field', elem_id="deepbooru")
+
+            self.restore_progress_button = ToolButton(value=restore_progress_symbol, elem_id=f"{self.id_part}_restore_progress", visible=False, tooltip="Restore progress")
+
+            self.token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_token_counter", elem_classes=["token-counter"])
+            self.token_button = gr.Button(visible=False, elem_id=f"{self.id_part}_token_button")
+            self.negative_token_counter = gr.HTML(value="<span>0/75</span>", elem_id=f"{self.id_part}_negative_token_counter", elem_classes=["token-counter"])
+            self.negative_token_button = gr.Button(visible=False, elem_id=f"{self.id_part}_negative_token_button")
+
+            self.clear_prompt_button.click(
+                fn=lambda *x: x,
+                _js="confirm_clear_prompt",
+                inputs=[self.prompt, self.negative_prompt],
+                outputs=[self.prompt, self.negative_prompt],
+            )
+
+    def create_styles_ui(self):
+        self.ui_styles = ui_prompt_styles.UiPromptStyles(self.id_part, self.prompt, self.negative_prompt)
+        self.ui_styles.setup_apply_button(self.apply_styles)

modules/upscaler.py

@@ -0,0 +1,144 @@
+import os
+from abc import abstractmethod
+
+import PIL
+from PIL import Image
+
+import modules.shared
+from modules import modelloader, shared
+
+LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
+NEAREST = (Image.Resampling.NEAREST if hasattr(Image, 'Resampling') else Image.NEAREST)
+
+
+class Upscaler:
+    name = None
+    model_path = None
+    model_name = None
+    model_url = None
+    enable = True
+    filter = None
+    model = None
+    user_path = None
+    scalers: []
+    tile = True
+
+    def __init__(self, create_dirs=False):
+        self.mod_pad_h = None
+        self.tile_size = modules.shared.opts.ESRGAN_tile
+        self.tile_pad = modules.shared.opts.ESRGAN_tile_overlap
+        self.device = modules.shared.device
+        self.img = None
+        self.output = None
+        self.scale = 1
+        self.half = not modules.shared.cmd_opts.no_half
+        self.pre_pad = 0
+        self.mod_scale = None
+        self.model_download_path = None
+
+        if self.model_path is None and self.name:
+            self.model_path = os.path.join(shared.models_path, self.name)
+        if self.model_path and create_dirs:
+            os.makedirs(self.model_path, exist_ok=True)
+
+        try:
+            import cv2  # noqa: F401
+            self.can_tile = True
+        except Exception:
+            pass
+
+    @abstractmethod
+    def do_upscale(self, img: PIL.Image, selected_model: str):
+        return img
+
+    def upscale(self, img: PIL.Image, scale, selected_model: str = None):
+        self.scale = scale
+        dest_w = int((img.width * scale) // 8 * 8)
+        dest_h = int((img.height * scale) // 8 * 8)
+
+        for _ in range(3):
+            if img.width >= dest_w and img.height >= dest_h:
+                break
+
+            shape = (img.width, img.height)
+
+            img = self.do_upscale(img, selected_model)
+
+            if shape == (img.width, img.height):
+                break
+
+        if img.width != dest_w or img.height != dest_h:
+            img = img.resize((int(dest_w), int(dest_h)), resample=LANCZOS)
+
+        return img
+
+    @abstractmethod
+    def load_model(self, path: str):
+        pass
+
+    def find_models(self, ext_filter=None) -> list:
+        return modelloader.load_models(model_path=self.model_path, model_url=self.model_url, command_path=self.user_path, ext_filter=ext_filter)
+
+    def update_status(self, prompt):
+        print(f"\nextras: {prompt}", file=shared.progress_print_out)
+
+
+class UpscalerData:
+    name = None
+    data_path = None
+    scale: int = 4
+    scaler: Upscaler = None
+    model: None
+
+    def __init__(self, name: str, path: str, upscaler: Upscaler = None, scale: int = 4, model=None):
+        self.name = name
+        self.data_path = path
+        self.local_data_path = path
+        self.scaler = upscaler
+        self.scale = scale
+        self.model = model
+
+
+class UpscalerNone(Upscaler):
+    name = "None"
+    scalers = []
+
+    def load_model(self, path):
+        pass
+
+    def do_upscale(self, img, selected_model=None):
+        return img
+
+    def __init__(self, dirname=None):
+        super().__init__(False)
+        self.scalers = [UpscalerData("None", None, self)]
+
+
+class UpscalerLanczos(Upscaler):
+    scalers = []
+
+    def do_upscale(self, img, selected_model=None):
+        return img.resize((int(img.width * self.scale), int(img.height * self.scale)), resample=LANCZOS)
+
+    def load_model(self, _):
+        pass
+
+    def __init__(self, dirname=None):
+        super().__init__(False)
+        self.name = "Lanczos"
+        self.scalers = [UpscalerData("Lanczos", None, self)]
+
+
+class UpscalerNearest(Upscaler):
+    scalers = []
+
+    def do_upscale(self, img, selected_model=None):
+        return img.resize((int(img.width * self.scale), int(img.height * self.scale)), resample=NEAREST)
+
+    def load_model(self, _):
+        pass
+
+    def __init__(self, dirname=None):
+        super().__init__(False)
+        self.name = "Nearest"
+        self.scalers = [UpscalerData("Nearest", None, self)]

modules/util.py

@@ -0,0 +1,58 @@
+import os
+import re
+
+from modules import shared
+from modules.paths_internal import script_path
+
+
+def natural_sort_key(s, regex=re.compile('([0-9]+)')):
+    return [int(text) if text.isdigit() else text.lower() for text in regex.split(s)]
+
+
+def listfiles(dirname):
+    filenames = [os.path.join(dirname, x) for x in sorted(os.listdir(dirname), key=natural_sort_key) if not x.startswith(".")]
+    return [file for file in filenames if os.path.isfile(file)]
+
+
+def html_path(filename):
+    return os.path.join(script_path, "html", filename)
+
+
+def html(filename):
+    path = html_path(filename)
+
+    if os.path.exists(path):
+        with open(path, encoding="utf8") as file:
+            return file.read()
+
+    return ""
+
+
+def walk_files(path, allowed_extensions=None):
+    if not os.path.exists(path):
+        return
+
+    if allowed_extensions is not None:
+        allowed_extensions = set(allowed_extensions)
+
+    items = list(os.walk(path, followlinks=True))
+    items = sorted(items, key=lambda x: natural_sort_key(x[0]))
+
+    for root, _, files in items:
+        for filename in sorted(files, key=natural_sort_key):
+            if allowed_extensions is not None:
+                _, ext = os.path.splitext(filename)
+                if ext not in allowed_extensions:
+                    continue
+
+            if not shared.opts.list_hidden_files and ("/." in root or "\\." in root):
+                continue
+
+            yield os.path.join(root, filename)
+
+
+def ldm_print(*args, **kwargs):
+    if shared.opts.hide_ldm_prints:
+        return
+
+    print(*args, **kwargs)

modules/xlmr.py

@@ -0,0 +1,137 @@
+from transformers import BertPreTrainedModel, BertConfig
+import torch.nn as nn
+import torch
+from transformers.models.xlm_roberta.configuration_xlm_roberta import XLMRobertaConfig
+from transformers import XLMRobertaModel,XLMRobertaTokenizer
+from typing import Optional
+
+class BertSeriesConfig(BertConfig):
+    def __init__(self, vocab_size=30522, hidden_size=768, num_hidden_layers=12, num_attention_heads=12, intermediate_size=3072, hidden_act="gelu", hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, max_position_embeddings=512, type_vocab_size=2, initializer_range=0.02, layer_norm_eps=1e-12, pad_token_id=0, position_embedding_type="absolute", use_cache=True, classifier_dropout=None,project_dim=512, pooler_fn="average",learn_encoder=False,model_type='bert',**kwargs):
+
+        super().__init__(vocab_size, hidden_size, num_hidden_layers, num_attention_heads, intermediate_size, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, max_position_embeddings, type_vocab_size, initializer_range, layer_norm_eps, pad_token_id, position_embedding_type, use_cache, classifier_dropout, **kwargs)
+        self.project_dim = project_dim
+        self.pooler_fn = pooler_fn
+        self.learn_encoder = learn_encoder
+
+class RobertaSeriesConfig(XLMRobertaConfig):
+    def __init__(self, pad_token_id=1, bos_token_id=0, eos_token_id=2,project_dim=512,pooler_fn='cls',learn_encoder=False, **kwargs):
+        super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)
+        self.project_dim = project_dim
+        self.pooler_fn = pooler_fn
+        self.learn_encoder = learn_encoder
+
+
+class BertSeriesModelWithTransformation(BertPreTrainedModel):
+
+    _keys_to_ignore_on_load_unexpected = [r"pooler"]
+    _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"]
+    config_class = BertSeriesConfig
+
+    def __init__(self, config=None, **kargs):
+        # modify initialization for autoloading
+        if config is None:
+            config = XLMRobertaConfig()
+            config.attention_probs_dropout_prob= 0.1
+            config.bos_token_id=0
+            config.eos_token_id=2
+            config.hidden_act='gelu'
+            config.hidden_dropout_prob=0.1
+            config.hidden_size=1024
+            config.initializer_range=0.02
+            config.intermediate_size=4096
+            config.layer_norm_eps=1e-05
+            config.max_position_embeddings=514
+
+            config.num_attention_heads=16
+            config.num_hidden_layers=24
+            config.output_past=True
+            config.pad_token_id=1
+            config.position_embedding_type= "absolute"
+
+            config.type_vocab_size= 1
+            config.use_cache=True
+            config.vocab_size= 250002
+            config.project_dim = 768
+            config.learn_encoder = False
+        super().__init__(config)
+        self.roberta = XLMRobertaModel(config)
+        self.transformation = nn.Linear(config.hidden_size,config.project_dim)
+        self.pre_LN=nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
+        self.tokenizer = XLMRobertaTokenizer.from_pretrained('xlm-roberta-large')
+        self.pooler = lambda x: x[:,0]
+        self.post_init()
+
+    def encode(self,c):
+        device = next(self.parameters()).device
+        text = self.tokenizer(c,
+                        truncation=True,
+                        max_length=77,
+                        return_length=False,
+                        return_overflowing_tokens=False,
+                        padding="max_length",
+                        return_tensors="pt")
+        text["input_ids"] = torch.tensor(text["input_ids"]).to(device)
+        text["attention_mask"] = torch.tensor(
+            text['attention_mask']).to(device)
+        features = self(**text)
+        return features['projection_state']
+
+    def forward(
+        self,
+        input_ids: Optional[torch.Tensor] = None,
+        attention_mask: Optional[torch.Tensor] = None,
+        token_type_ids: Optional[torch.Tensor] = None,
+        position_ids: Optional[torch.Tensor] = None,
+        head_mask: Optional[torch.Tensor] = None,
+        inputs_embeds: Optional[torch.Tensor] = None,
+        encoder_hidden_states: Optional[torch.Tensor] = None,
+        encoder_attention_mask: Optional[torch.Tensor] = None,
+        output_attentions: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+    ) :
+        r"""
+        """
+
+        return_dict = return_dict if return_dict is not None else self.config.use_return_dict
+
+
+        outputs = self.roberta(
+            input_ids=input_ids,
+            attention_mask=attention_mask,
+            token_type_ids=token_type_ids,
+            position_ids=position_ids,
+            head_mask=head_mask,
+            inputs_embeds=inputs_embeds,
+            encoder_hidden_states=encoder_hidden_states,
+            encoder_attention_mask=encoder_attention_mask,
+            output_attentions=output_attentions,
+            output_hidden_states=True,
+            return_dict=return_dict,
+        )
+
+        # last module outputs
+        sequence_output = outputs[0]
+
+
+        # project every module
+        sequence_output_ln = self.pre_LN(sequence_output)
+
+        # pooler
+        pooler_output = self.pooler(sequence_output_ln)
+        pooler_output = self.transformation(pooler_output)
+        projection_state = self.transformation(outputs.last_hidden_state)
+
+        return {
+            'pooler_output':pooler_output,
+            'last_hidden_state':outputs.last_hidden_state,
+            'hidden_states':outputs.hidden_states,
+            'attentions':outputs.attentions,
+            'projection_state':projection_state,
+            'sequence_out': sequence_output
+        }
+
+
+class RobertaSeriesModelWithTransformation(BertSeriesModelWithTransformation):
+    base_model_prefix = 'roberta'
+    config_class= RobertaSeriesConfig

modules/xlmr_m18.py

@@ -0,0 +1,164 @@
+from transformers import BertPreTrainedModel,BertConfig
+import torch.nn as nn
+import torch
+from transformers.models.xlm_roberta.configuration_xlm_roberta import XLMRobertaConfig
+from transformers import XLMRobertaModel,XLMRobertaTokenizer
+from typing import Optional
+
+class BertSeriesConfig(BertConfig):
+    def __init__(self, vocab_size=30522, hidden_size=768, num_hidden_layers=12, num_attention_heads=12, intermediate_size=3072, hidden_act="gelu", hidden_dropout_prob=0.1, attention_probs_dropout_prob=0.1, max_position_embeddings=512, type_vocab_size=2, initializer_range=0.02, layer_norm_eps=1e-12, pad_token_id=0, position_embedding_type="absolute", use_cache=True, classifier_dropout=None,project_dim=512, pooler_fn="average",learn_encoder=False,model_type='bert',**kwargs):
+
+        super().__init__(vocab_size, hidden_size, num_hidden_layers, num_attention_heads, intermediate_size, hidden_act, hidden_dropout_prob, attention_probs_dropout_prob, max_position_embeddings, type_vocab_size, initializer_range, layer_norm_eps, pad_token_id, position_embedding_type, use_cache, classifier_dropout, **kwargs)
+        self.project_dim = project_dim
+        self.pooler_fn = pooler_fn
+        self.learn_encoder = learn_encoder
+
+class RobertaSeriesConfig(XLMRobertaConfig):
+    def __init__(self, pad_token_id=1, bos_token_id=0, eos_token_id=2,project_dim=512,pooler_fn='cls',learn_encoder=False, **kwargs):
+        super().__init__(pad_token_id=pad_token_id, bos_token_id=bos_token_id, eos_token_id=eos_token_id, **kwargs)
+        self.project_dim = project_dim
+        self.pooler_fn = pooler_fn
+        self.learn_encoder = learn_encoder
+
+
+class BertSeriesModelWithTransformation(BertPreTrainedModel):
+
+    _keys_to_ignore_on_load_unexpected = [r"pooler"]
+    _keys_to_ignore_on_load_missing = [r"position_ids", r"predictions.decoder.bias"]
+    config_class = BertSeriesConfig
+
+    def __init__(self, config=None, **kargs):
+        # modify initialization for autoloading
+        if config is None:
+            config = XLMRobertaConfig()
+            config.attention_probs_dropout_prob= 0.1
+            config.bos_token_id=0
+            config.eos_token_id=2
+            config.hidden_act='gelu'
+            config.hidden_dropout_prob=0.1
+            config.hidden_size=1024
+            config.initializer_range=0.02
+            config.intermediate_size=4096
+            config.layer_norm_eps=1e-05
+            config.max_position_embeddings=514
+
+            config.num_attention_heads=16
+            config.num_hidden_layers=24
+            config.output_past=True
+            config.pad_token_id=1
+            config.position_embedding_type= "absolute"
+
+            config.type_vocab_size= 1
+            config.use_cache=True
+            config.vocab_size= 250002
+            config.project_dim = 1024
+            config.learn_encoder = False
+        super().__init__(config)
+        self.roberta = XLMRobertaModel(config)
+        self.transformation = nn.Linear(config.hidden_size,config.project_dim)
+        # self.pre_LN=nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
+        self.tokenizer = XLMRobertaTokenizer.from_pretrained('xlm-roberta-large')
+        # self.pooler = lambda x: x[:,0]
+        # self.post_init()
+
+        self.has_pre_transformation = True
+        if self.has_pre_transformation:
+            self.transformation_pre = nn.Linear(config.hidden_size, config.project_dim)
+            self.pre_LN = nn.LayerNorm(config.hidden_size, eps=config.layer_norm_eps)
+        self.post_init()
+
+    def encode(self,c):
+        device = next(self.parameters()).device
+        text = self.tokenizer(c,
+                        truncation=True,
+                        max_length=77,
+                        return_length=False,
+                        return_overflowing_tokens=False,
+                        padding="max_length",
+                        return_tensors="pt")
+        text["input_ids"] = torch.tensor(text["input_ids"]).to(device)
+        text["attention_mask"] = torch.tensor(
+            text['attention_mask']).to(device)
+        features = self(**text)
+        return features['projection_state']
+
+    def forward(
+        self,
+        input_ids: Optional[torch.Tensor] = None,
+        attention_mask: Optional[torch.Tensor] = None,
+        token_type_ids: Optional[torch.Tensor] = None,
+        position_ids: Optional[torch.Tensor] = None,
+        head_mask: Optional[torch.Tensor] = None,
+        inputs_embeds: Optional[torch.Tensor] = None,
+        encoder_hidden_states: Optional[torch.Tensor] = None,
+        encoder_attention_mask: Optional[torch.Tensor] = None,
+        output_attentions: Optional[bool] = None,
+        return_dict: Optional[bool] = None,
+        output_hidden_states: Optional[bool] = None,
+    ) :
+        r"""
+        """
+
+        return_dict = return_dict if return_dict is not None else self.config.use_return_dict
+
+
+        outputs = self.roberta(
+            input_ids=input_ids,
+            attention_mask=attention_mask,
+            token_type_ids=token_type_ids,
+            position_ids=position_ids,
+            head_mask=head_mask,
+            inputs_embeds=inputs_embeds,
+            encoder_hidden_states=encoder_hidden_states,
+            encoder_attention_mask=encoder_attention_mask,
+            output_attentions=output_attentions,
+            output_hidden_states=True,
+            return_dict=return_dict,
+        )
+
+        # # last module outputs
+        # sequence_output = outputs[0]
+
+
+        # # project every module
+        # sequence_output_ln = self.pre_LN(sequence_output)
+
+        # # pooler
+        # pooler_output = self.pooler(sequence_output_ln)
+        # pooler_output = self.transformation(pooler_output)
+        # projection_state = self.transformation(outputs.last_hidden_state)
+
+        if self.has_pre_transformation:
+            sequence_output2 = outputs["hidden_states"][-2]
+            sequence_output2 = self.pre_LN(sequence_output2)
+            projection_state2 = self.transformation_pre(sequence_output2)
+
+            return {
+                "projection_state": projection_state2,
+                "last_hidden_state": outputs.last_hidden_state,
+                "hidden_states": outputs.hidden_states,
+                "attentions": outputs.attentions,
+            }
+        else:
+            projection_state = self.transformation(outputs.last_hidden_state)
+            return {
+                "projection_state": projection_state,
+                "last_hidden_state": outputs.last_hidden_state,
+                "hidden_states": outputs.hidden_states,
+                "attentions": outputs.attentions,
+            }
+
+
+        # return {
+        #     'pooler_output':pooler_output,
+        #     'last_hidden_state':outputs.last_hidden_state,
+        #     'hidden_states':outputs.hidden_states,
+        #     'attentions':outputs.attentions,
+        #     'projection_state':projection_state,
+        #     'sequence_out': sequence_output
+        # }
+
+
+class RobertaSeriesModelWithTransformation(BertSeriesModelWithTransformation):
+    base_model_prefix = 'roberta'
+    config_class= RobertaSeriesConfig

modules/xpu_specific.py

@@ -0,0 +1,59 @@
+from modules import shared
+from modules.sd_hijack_utils import CondFunc
+
+has_ipex = False
+try:
+    import torch
+    import intel_extension_for_pytorch as ipex # noqa: F401
+    has_ipex = True
+except Exception:
+    pass
+
+
+def check_for_xpu():
+    return has_ipex and hasattr(torch, 'xpu') and torch.xpu.is_available()
+
+
+def get_xpu_device_string():
+    if shared.cmd_opts.device_id is not None:
+        return f"xpu:{shared.cmd_opts.device_id}"
+    return "xpu"
+
+
+def torch_xpu_gc():
+    with torch.xpu.device(get_xpu_device_string()):
+        torch.xpu.empty_cache()
+
+
+has_xpu = check_for_xpu()
+
+if has_xpu:
+    # W/A for https://github.com/intel/intel-extension-for-pytorch/issues/452: torch.Generator API doesn't support XPU device
+    CondFunc('torch.Generator',
+        lambda orig_func, device=None: torch.xpu.Generator(device),
+        lambda orig_func, device=None: device is not None and device.type == "xpu")
+
+    # W/A for some OPs that could not handle different input dtypes
+    CondFunc('torch.nn.functional.layer_norm',
+        lambda orig_func, input, normalized_shape=None, weight=None, *args, **kwargs:
+        orig_func(input.to(weight.data.dtype), normalized_shape, weight, *args, **kwargs),
+        lambda orig_func, input, normalized_shape=None, weight=None, *args, **kwargs:
+        weight is not None and input.dtype != weight.data.dtype)
+    CondFunc('torch.nn.modules.GroupNorm.forward',
+        lambda orig_func, self, input: orig_func(self, input.to(self.weight.data.dtype)),
+        lambda orig_func, self, input: input.dtype != self.weight.data.dtype)
+    CondFunc('torch.nn.modules.linear.Linear.forward',
+        lambda orig_func, self, input: orig_func(self, input.to(self.weight.data.dtype)),
+        lambda orig_func, self, input: input.dtype != self.weight.data.dtype)
+    CondFunc('torch.nn.modules.conv.Conv2d.forward',
+        lambda orig_func, self, input: orig_func(self, input.to(self.weight.data.dtype)),
+        lambda orig_func, self, input: input.dtype != self.weight.data.dtype)
+    CondFunc('torch.bmm',
+        lambda orig_func, input, mat2, out=None: orig_func(input.to(mat2.dtype), mat2, out=out),
+        lambda orig_func, input, mat2, out=None: input.dtype != mat2.dtype)
+    CondFunc('torch.cat',
+        lambda orig_func, tensors, dim=0, out=None: orig_func([t.to(tensors[0].dtype) for t in tensors], dim=dim, out=out),
+        lambda orig_func, tensors, dim=0, out=None: not all(t.dtype == tensors[0].dtype for t in tensors))
+    CondFunc('torch.nn.functional.scaled_dot_product_attention',
+        lambda orig_func, query, key, value, attn_mask=None, dropout_p=0.0, is_causal=False: orig_func(query, key.to(query.dtype), value.to(query.dtype), attn_mask, dropout_p, is_causal),
+        lambda orig_func, query, key, value, attn_mask=None, dropout_p=0.0, is_causal=False: query.dtype != key.dtype or query.dtype != value.dtype)