chore: 🧹 bump minor

recommended for i2i in ltx.
original code by [mix](https://github.com/XmYx)

.gitignore

@@ -6,3 +6,6 @@ node_modules/
 compose.yaml
 comfy_mtb.wsb
 Dockerfile
+
+# I store the gh-pages worktrees (src & build) there
+.worktrees

__init__.py

@@ -7,10 +7,12 @@
 #
 ###
 
-__version__ = "0.1.6"
+__version__ = "0.2.0"
 
 import os
 
+from aiohttp.web_request import Request
+
 # TODO: don't override this if the user has that setup already
 if not os.environ.get("TF_FORCE_GPU_ALLOW_GROWTH"):
     os.environ["TF_FORCE_GPU_ALLOW_GROWTH"] = "true"
@@ -31,24 +33,20 @@ from pathlib import Path
 from aiohttp import web
 from server import PromptServer
 
-import nodes
-
 from .endpoint import endlog
 from .log import blue_text, cyan_text, get_label, get_summary, log
 from .utils import comfy_dir, here
 
-NODE_CLASS_MAPPINGS = {}
-NODE_DISPLAY_NAME_MAPPINGS = {}
-NODE_CLASS_MAPPINGS_DEBUG = {}
+NODE_CLASS_MAPPINGS: dict[str, type] = {}
+NODE_DISPLAY_NAME_MAPPINGS: dict[str, str] = {}
+NODE_CLASS_MAPPINGS_DEBUG: dict[str, str | None] = {}
 WEB_DIRECTORY = "./web"
 
 
 def extract_nodes_from_source(filename: Path):
     source_code = ""
-
     source_code = filename.read_text(encoding="utf-8")
-
-    nodes = []
+    nodes: list[str] = []
 
     try:
         parsed = ast.parse(source_code)
@@ -57,14 +55,15 @@ def extract_nodes_from_source(filename: Path):
                 target = node.targets[0]
                 if isinstance(target, ast.Name) and target.id == "__nodes__":
                     value = ast.get_source_segment(source_code, node.value)
-                    node_value = ast.parse(value).body[0].value
-                    if isinstance(node_value, (ast.List, ast.Tuple)):
-                        nodes.extend(
-                            element.id
-                            for element in node_value.elts
-                            if isinstance(element, ast.Name)
-                        )
-                    break
+                    if value:
+                        node_value = ast.parse(value).body[0].value
+                        if isinstance(node_value, ast.List | ast.Tuple):
+                            nodes.extend(
+                                str(element.id)
+                                for element in node_value.elts
+                                if isinstance(element, ast.Name)
+                            )
+                        break
     except SyntaxError:
         log.error("Failed to parse")
     return nodes
@@ -72,8 +71,8 @@ def extract_nodes_from_source(filename: Path):
 
 def load_nodes():
     errors: list[str] = []
-    nodes = []
-    nodes_failed = []
+    nodes: list[type] = []
+    nodes_failed: list[str] = []
 
     for filename in (here / "nodes").iterdir():
         if filename.suffix == ".py":
@@ -124,7 +123,8 @@ def uninstall_old_web_extensions():
                 shutil.rmtree(web_mtb)
         except Exception as e:
             log.warning(
-                f"Failed to remove web mtb directory: {e}\nPlease manually remove it from disk ({web_mtb}) and restart the server."
+                f"""Failed to remove web mtb directory: {e}
+Please manually remove it from disk ({web_mtb}) and restart the server."""
             )
 
 
@@ -141,7 +141,7 @@ def wiki_to_classname(s: str):
 
 def classname_to_wiki(s: str):
     classname = s.replace("MTB_", "")
-    parts = []
+    parts: list[str] = []
     start = 0
     for i in range(1, len(classname)):
         if classname[i].isupper():
@@ -161,8 +161,6 @@ if wiki.exists() and wiki.is_dir():
 
 
 # - REGISTER NODES
-
-
 MTB_EXPORT = os.environ.get("MTB_EXPORT")
 
 nodes, failed = load_nodes()
@@ -179,7 +177,7 @@ for node_class in nodes:
             node_class.DESCRIPTION = node_class.__doc__
             if MTB_EXPORT:
                 wiki_name = classname_to_wiki(class_name)
-                (wiki / "nodes" / (wiki_name + ".md")).write_text(
+                _ = (wiki / "nodes" / (wiki_name + ".md")).write_text(
                     node_class.__doc__, encoding="utf-8"
                 )
 
@@ -192,12 +190,15 @@ for node_class in nodes:
     NODE_CLASS_MAPPINGS[node_label] = node_class
     NODE_DISPLAY_NAME_MAPPINGS[class_name] = node_label
     NODE_CLASS_MAPPINGS_DEBUG[node_label] = node_class.__doc__
-    # TODO: I removed this, I find it more convenient to write without spaces, but it breaks every of my workflows
-    # TODO (cont): and until I find a way to automate the conversion, I'll leave it like this
+
+    # TODO: I removed this, I find it more convenient to write without spaces
+    # but it breaks every of my workflows
+    # TODO (cont): and until I find a way to automate the conversion
+    # I'll leave it like this
 
     if os.environ.get("MTB_EXPORT"):
         with open(here / "node_list.json", "w") as f:
-            f.write(
+            _ = f.write(
                 json.dumps(
                     {
                         k: NODE_CLASS_MAPPINGS_DEBUG[k]
@@ -215,19 +216,30 @@ log.debug(
     )
 )
 
-log.info(f"loaded {cyan_text(len(nodes))} nodes successfuly")
+log.info(f"loaded {cyan_text(str(len(nodes)))} nodes successfuly")
+
 if failed:
     with contextlib.suppress(Exception):
         base_url, port = utils.get_server_info()
         log.info(
             f"Some nodes ({len(failed)}) could not be loaded. This can be ignored, but go to http://{base_url}:{port}/mtb if you want more information."
         )
+        log.debug(failed)
 
 
 # - ENDPOINT
 
 
 if hasattr(PromptServer, "instance"):
+    img_cache = None
+    prompt_cache = None
+
+    with contextlib.suppress(ImportError):
+        from cachetools import TTLCache
+
+        img_cache = TTLCache(maxsize=100, ttl=5)  # 1 min TTL
+        prompt_cache = TTLCache(maxsize=100, ttl=5)  # 1 min TTL
+
     restore_deps = ["basicsr"]
     onnx_deps = ["onnxruntime"]
     swap_deps = ["insightface"] + onnx_deps
@@ -306,10 +318,10 @@ if hasattr(PromptServer, "instance"):
             }
         )
 
-    @PromptServer.instance.routes.post("/mtb/debug")
-    async def set_debug(request):
-        json_data = await request.json()
-        enabled = json_data.get("enabled")
+    @PromptServer.instance.routes.post("/mtb/server-info")
+    async def set_server_info(request: Request):
+        json_data: dict[str, bool] = await request.json()
+        enabled = json_data.get("debug")
         if enabled:
             os.environ["MTB_DEBUG"] = "true"
             log.setLevel(logging.DEBUG)
@@ -317,7 +329,7 @@ if hasattr(PromptServer, "instance"):
 
         elif "MTB_DEBUG" in os.environ:
             # del os.environ["MTB_DEBUG"]
-            os.environ.pop("MTB_DEBUG")
+            _ = os.environ.pop("MTB_DEBUG")
             log.setLevel(logging.INFO)
 
         return web.json_response(
@@ -325,17 +337,17 @@ if hasattr(PromptServer, "instance"):
         )
 
     @PromptServer.instance.routes.get("/mtb")
-    async def get_home(request):
+    async def get_home(request: Request):
         from . import endpoint
 
-        reload(endpoint)
+        _ = reload(endpoint)
         # Check if the request prefers HTML content
         if "text/html" in request.headers.get("Accept", ""):
             # # Return an HTML page
             html_response = """
             <div class="flex-container menu">
                 <a href="/mtb/manage">manage</a>
-                <a href="/mtb/debug">debug</a>
+                <a href="/mtb/server-info">Server Info</a>
                 <a href="/mtb/status">status</a>
             </div>
             """
@@ -347,28 +359,176 @@ if hasattr(PromptServer, "instance"):
         # Return JSON for other requests
         return web.json_response({"message": "Welcome to MTB!"})
 
-    @PromptServer.instance.routes.get("/mtb/debug")
-    async def get_debug(request):
+    import asyncio
+    import os
+    from io import BytesIO
+
+    from aiohttp import web
+    from PIL import Image
+
+    def get_cached_image(file_path: str, preview_params=None, channel=None):
+        cache_key = (file_path, preview_params, channel)
+        if img_cache and (cache_key in img_cache):
+            return img_cache[cache_key]
+
+        with Image.open(file_path) as img:
+            info = img.info
+            if preview_params:
+                img = process_preview(img, preview_params)
+            if channel:
+                img = process_channel(img, channel)
+            if prompt_cache:
+                prompt_cache[cache_key] = info
+            if img_cache:
+                img_cache[cache_key] = img.getvalue()
+                return img_cache[cache_key]
+
+            return img.getvalue()
+
+    def process_preview(img: Image.Image, preview_params):
+        image_format, quality, width = preview_params
+        quality = int(quality)
+
+        if width:
+            width = int(width)
+            img.thumbnail((width, int(width * img.height / img.width)))
+
+        buffer = BytesIO()
+        img.save(
+            buffer, format=image_format, quality=quality, metadata=img.info
+        )
+        buffer.seek(0)
+        return buffer
+
+    def process_channel(img: Image.Image, channel: str):
+        if channel == "rgb":
+            if img.mode == "RGBA":
+                r, g, b, _ = img.split()
+                img = Image.merge("RGB", (r, g, b))
+            else:
+                img = img.convert("RGB")
+        elif channel == "a":
+            if img.mode == "RGBA":
+                _, _, _, a = img.split()
+            else:
+                a = Image.new("L", img.size, 255)
+            img = Image.new("RGBA", img.size)
+            img.putalpha(a)
+
+        buffer = BytesIO()
+        img.save(buffer, format="PNG")
+        _ = buffer.seek(0)
+        return buffer
+
+    async def get_image_response(
+        file, filename: str, preview_info=None, channel=None
+    ):
+        img = await asyncio.to_thread(
+            get_cached_image, file, preview_info, channel
+        )
+        return web.Response(
+            body=img,
+            content_type="image/webp" if preview_info else "image/png",
+            headers={"Content-Disposition": f'filename="{filename}"'},
+        )
+
+    # TODO: Embed the metadatas somehow so we can drag and drop
+    #       to load workflows in the sidebar
+    @PromptServer.instance.routes.get("/mtb/view")
+    async def view_image(request: Request):
+        import folder_paths
+
+        filename = request.rel_url.query.get("filename")
+        if not filename:
+            return web.Response(status=404)
+
+        filename, output_dir = folder_paths.annotated_filepath(filename)
+        if filename[0] == "/" or ".." in filename:
+            return web.Response(status=400)
+
+        if output_dir is None:
+            rtype = request.rel_url.query.get("type", "output")
+            output_dir = folder_paths.get_directory_by_type(rtype)
+
+        if output_dir is None:
+            return web.Response(status=400)
+
+        if "subfolder" in request.rel_url.query:
+            full_output_dir = os.path.join(
+                output_dir, request.rel_url.query["subfolder"]
+            )
+            if (
+                os.path.commonpath(
+                    (os.path.abspath(full_output_dir), output_dir)
+                )
+                != output_dir
+            ):
+                return web.Response(status=403)
+            output_dir = full_output_dir
+
+        filename = os.path.basename(filename)
+        file = os.path.join(output_dir, filename)
+
+        if not os.path.isfile(file):
+            return web.Response(status=404)
+
+        preview_info = None
+        if "preview" in request.rel_url.query:
+            preview_params = request.rel_url.query["preview"].split(";")
+            image_format = (
+                preview_params[0]
+                if preview_params[0] in ["webp", "jpeg"]
+                else "webp"
+            )
+            quality = (
+                int(preview_params[1])
+                if len(preview_params) > 1 and preview_params[1].isdigit()
+                else 90
+            )
+            width = request.rel_url.query.get("width")
+            preview_info = (image_format, quality, width)
+
+        channel = request.rel_url.query.get("channel")
+
+        return await get_image_response(file, filename, preview_info, channel)
+
+    @PromptServer.instance.routes.get("/mtb/server-info")
+    async def get_debug(request: Request):
         from . import endpoint
 
-        reload(endpoint)
-        enabled = "MTB_DEBUG" in os.environ
+        _ = reload(endpoint)
+        isdebug = "MTB_DEBUG" in os.environ
+        exposed = "MTB_EXPOSE" in os.environ
+
+        def render_property(name: str, val: str):
+            return f"""<strong>{name}:</strong>
+                <p>
+                    {val}
+                </p>"""
+
         # Check if the request prefers HTML content
         if "text/html" in request.headers.get("Accept", ""):
             # # Return an HTML page
-            html_response = f"""
-                <h1>MTB Debug Status: {'Enabled' if enabled else 'Disabled'}</h1>
-            """
+            html_response = ""
+
+            html_response += render_property(
+                "Debug", "Enabled" if isdebug else "Disabled"
+            )
+
+            html_response += render_property("Exposed", str(exposed))
+
             return web.Response(
-                text=endpoint.render_base_template("Debug", html_response),
+                text=endpoint.render_base_template(
+                    "Server Info", html_response
+                ),
                 content_type="text/html",
             )
 
         # Return JSON for other requests
-        return web.json_response({"enabled": enabled})
+        return web.json_response({"exposed": exposed, "debug": isdebug})
 
     @PromptServer.instance.routes.get("/mtb/actions")
-    async def no_route(request):
+    async def no_route(request: Request):
         from . import endpoint
 
         if "text/html" in request.headers.get("Accept", ""):
@@ -382,7 +542,7 @@ if hasattr(PromptServer, "instance"):
         return web.json_response({"message": "actions has no get for now"})
 
     @PromptServer.instance.routes.post("/mtb/actions")
-    async def do_action(request):
+    async def do_action(request: Request):
         from . import endpoint
 
         reload(endpoint)

endpoint.py

@@ -1,4 +1,8 @@
 import csv
+import secrets
+import sys
+from pathlib import Path
+from typing import Any
 
 from aiohttp import web
 
@@ -6,6 +10,8 @@ from .log import mklog
 from .utils import (
     backup_file,
     import_install,
+    input_dir,
+    output_dir,
     reqs_map,
     run_command,
     styles_dir,
@@ -14,15 +20,14 @@ from .utils import (
 endlog = mklog("mtb endpoint")
 
 # - ACTIONS
-import sys
-from pathlib import Path
-
 import_install("requirements")
 
 
 def ACTIONS_installDependency(dependency_names=None):
     if dependency_names is None:
+        # return web.Response(text="No dependency name provided", status=400)
         return {"error": "No dependency name provided"}
+
     endlog.debug(f"Received Install Dependency request for {dependency_names}")
     # reqs = []
     resolved_names = [reqs_map.get(name, name) for name in dependency_names]
@@ -50,6 +55,62 @@ def ACTIONS_installDependency(dependency_names=None):
     #             break
 
 
+def ACTIONS_getUserImages(
+    mode: str,
+    count=200,
+    offset=0,
+    sort: str | None = None,
+    include_subfolders: bool = False,
+):
+    # enabled = "MTB_EXPOSE" in os.environ
+    # if not enabled:
+    #     return {"error": "Session not authorized to getInputs"}
+
+    imgs = {}
+    entry_dir = input_dir if mode == "input" else output_dir
+    pattern = "**/*.png" if include_subfolders else "*.png"
+
+    entry_gen = entry_dir.glob(pattern)
+
+    entries = {}
+
+    if sort:
+        sort = sort.lower()
+        if sort == "none":
+            entries = entry_gen
+        elif sort == "modified":
+            entries = sorted(
+                entry_gen, key=lambda x: x.stat().st_mtime, reverse=True
+            )
+        elif sort == "modified-reverse":
+            entries = sorted(entry_gen, key=lambda x: x.stat().st_mtime)
+        elif sort == "name":
+            entries = sorted(entry_gen, key=lambda x: x.name)
+        elif sort == "name-reverse":
+            entries = sorted(entry_gen, key=lambda x: x.name, reverse=True)
+        else:
+            endlog.warning(f"Sort mode {sort} not supported")
+            entries = entry_gen
+    else:
+        entries = entry_gen
+
+    for i, img in enumerate(entries):
+        if i < offset:
+            continue
+
+        subfolder = (
+            img.parent.relative_to(entry_dir) if include_subfolders else ""
+        )
+        imgs[img.stem] = (
+            f"/mtb/view?filename={img.name}&width=512&type={mode}&subfolder="
+            f"{subfolder}"
+            f"&preview=&rand={secrets.randbelow(424242)}"
+        )
+        if i >= count + offset - 1:
+            break
+    return imgs
+
+
 def ACTIONS_getStyles(style_name=None):
     from .nodes.conditions import MTB_StylesLoader
 
@@ -97,7 +158,7 @@ def ACTIONS_saveStyle(data):
             csv_writer.writerow(row)
 
 
-async def do_action(request) -> web.Response:
+async def do_action(request: web.Request) -> web.Response:
     endlog.debug("Init action request")
     request_data = await request.json()
     name = request_data.get("name")
@@ -109,7 +170,12 @@ async def do_action(request) -> web.Response:
     method = globals().get(method_name)
 
     if callable(method):
-        result = method(args) if args else method()
+        result = None
+        if args:
+            result = method(*args) if isinstance(args, list) else method(args)
+        else:
+            result = method()
+
         endlog.debug(f"Action result: {result}")
         return web.json_response({"result": result})
 
@@ -130,10 +196,13 @@ async def do_action(request) -> web.Response:
 # - HTML UTILS
 
 
-def dependencies_button(name, dependencies):
+def dependencies_button(name: str, dependencies: list[str]) -> str:
     deps = ",".join([f"'{x}'" for x in dependencies])
     return f"""
-        <button class="dependency-button" onclick="window.mtb_action('installDependency',[{deps}])">Install {name} deps</button>
+        <button
+            class="dependency-button"
+            onclick="window.mtb_action('installDependency',[{deps}])"
+        >Install {name} deps</button>
         """
 
 
@@ -153,7 +222,7 @@ def csv_editor():
     html_out = """
             <div id="style-editor">
              <h1>Style Editor</h1>
-            
+
             """
     for current, styles in style_files.items():
         current_out = f"<h3>{current}</h3>"
@@ -215,11 +284,14 @@ def render_tab_view(**kwargs):
     """
 
 
-def add_foldable_region(title, content):
+def add_foldable_region(title: str, content: str):
     symbol_id = f"{title}-symbol"
     return f"""
     <div class='foldable'>
-        <div class='foldable-title' onclick="toggleFoldable('{title}', '{symbol_id}')">
+        <div
+            class='foldable-title'
+            onclick="toggleFoldable('{title}', '{symbol_id}')"
+        >
             <span id='{symbol_id}' class='foldable-symbol'>&#9655;</span>
             {title}
         </div>
@@ -231,7 +303,9 @@ def add_foldable_region(title, content):
     """
 
 
-def add_split_pane(left_content, right_content, vertical=True):
+def add_split_pane(
+    left_content: str, right_content: str, *, vertical: bool = True
+):
     orientation = "vertical" if vertical else "horizontal"
     return f"""
     <div class="split-pane {orientation}">
@@ -250,7 +324,7 @@ def add_split_pane(left_content, right_content, vertical=True):
     """
 
 
-def add_dropdown(title, options):
+def add_dropdown(title: str, options: list[str]):
     option_str = "\n".join(
         [f"<option value='{opt}'>{opt}</option>" for opt in options]
     )
@@ -262,13 +336,13 @@ def add_dropdown(title, options):
     """
 
 
-def render_table(table_dict, sort=True, title=None):
-    table_dict = sorted(
+def render_table(table_dict: dict[str, Any], sort=True, title=None):
+    table_list = sorted(
         table_dict.items(), key=lambda item: item[0]
     )  # Sort the dictionary by keys
 
     table_rows = ""
-    for name, item in table_dict:
+    for name, item in table_list:
         if isinstance(item, dict):
             if "dependencies" in item:
                 table_rows += f"<tr><td>{name}</td><td>"
@@ -299,12 +373,12 @@ def render_table(table_dict, sort=True, title=None):
             <tbody>
                 {table_rows}
             </tbody>
-        </table>      
+        </table>
         </div>
         """
 
 
-def render_base_template(title, content):
+def render_base_template(title: str, content: str):
     github_icon_svg = """<svg xmlns="http://www.w3.org/2000/svg" fill="whitesmoke" height="3em" viewBox="0 0 496 512"><path d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z"/></svg>"""
     return f"""
     <!DOCTYPE html>
@@ -340,7 +414,9 @@ def render_base_template(title, content):
         <header>
         <a href="/">Back to Comfy</a>
         <div class="mtb_logo">
-            <img src="https://repository-images.githubusercontent.com/649047066/a3eef9a7-20dd-4ef9-b839-884502d4e873" alt="Comfy MTB Logo" height="70" width="128">
+            <img
+                src="https://repository-images.githubusercontent.com/649047066/a3eef9a7-20dd-4ef9-b839-884502d4e873"
+                alt="Comfy MTB Logo" height="70" width="128">
             <span class="title">Comfy MTB</span></div>
             <a style="width:128px;text-align:center" href="https://www.github.com/melmass/comfy_mtb">
                 {github_icon_svg}
@@ -355,6 +431,6 @@ def render_base_template(title, content):
             <!-- Shared footer content here -->
         </footer>
     </body>
-    
+
     </html>
     """

env.nu

@@ -27,7 +27,7 @@ export def "comfy start" [--clean,--old-ui, --listen] {
 
     let root = get_root --clean=($clean)
     cd $root
-    MTB_DEBUG=true python main.py --port 3000 ...(if $old_ui { ["--front-end-version", "Comfy-Org/ComfyUI_legacy_frontend@latest"]} else {[]}) --preview-method auto ...(if $listen {["--listen"]} else {[]})
+    MTB_DEBUG=true python main.py --port 3000 ...(if $old_ui { ["--front-end-version", "Comfy-Org/ComfyUI_legacy_frontend@latest"]} else {[ --front-end-version Comfy-Org/ComfyUI_frontend@latest]}) --preview-method auto ...(if $listen {["--listen"]} else {[]})
 }
 
 # update comfy itself and merge master in current branch
@@ -67,8 +67,14 @@ export def "comfy update" [
     git checkout master
 
     print $"(ansi yellow_italic)Fetching and pulling remote updates(ansi reset)"
-    git fetch
-    git pull
+    if ($clean) {
+        git fetch local master
+        git pull local master
+    } else {
+        git fetch
+        git pull
+    }
+
 
     print $"(ansi yellow_italic)Back to our branch \(($branch_name)\)(ansi reset)"
     git checkout -
@@ -135,7 +141,7 @@ export def "comfy update_extensions" [--clean] {
     let root = get_root --clean=($clean)
     cd $root
     cd custom_nodes
-    git multipull .
+    git multipull . -s -q
 }
 
 def --env path-add [pth] {
@@ -146,7 +152,7 @@ def --env path-add [pth] {
 
 export-env {
   $env.COMFY_MTB = ("." | path expand)
-  $env.CUDA_ROOT =  'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\'
+  # $env.CUDA_ROOT =  'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\'
 
   $env.CUDA_HOME = $env.CUDA_ROOT
 

nodes/conditions.py

@@ -3,10 +3,127 @@ import shutil
 from pathlib import Path
 
 import folder_paths
+import torch
 
 from ..log import log
 from ..utils import here
 
+Conditioning = list[tuple[torch.Tensor, dict[str, torch.Tensor]]]
+
+
+def check_condition(conditioning: Conditioning):
+    has_cn = False
+    if len(conditioning) > 1:
+        log.warn(
+            "More than one conditioning was provided. Only the first one will be used."
+        )
+    first = conditioning[0]
+    cond, kwargs = first
+
+    log.debug("Conditioning Shape")
+    log.debug(cond.shape)
+    log.debug("Conditioning keys")
+    log.debug([f"\t{k} - {type(kwargs[k])}" for k in kwargs])
+    if "control" in kwargs:
+        log.debug("Conditioning contains a controlnet")
+        has_cn = True
+    if "pooled_output" not in kwargs:
+        raise ValueError(
+            "Conditioning is not valid. Missing 'pooled_output' key."
+        )
+    return has_cn
+
+
+class MTB_InterpolateCondition:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "blend": (
+                    "FLOAT",
+                    {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01},
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("CONDITIONING",)
+    CATEGORY = "mtb/conditioning"
+    FUNCTION = "execute"
+
+    def execute(
+        self, blend: float, **kwargs: Conditioning
+    ) -> tuple[Conditioning]:
+        blend = max(0.0, min(1.0, blend))
+
+        conditions: list[Conditioning] = list(kwargs.values())
+        num_conditions = len(conditions)
+
+        if num_conditions < 2:
+            raise ValueError("At least two conditioning inputs are required.")
+
+        segment_length = 1.0 / (num_conditions - 1)
+
+        segment_index = min(int(blend // segment_length), num_conditions - 2)
+
+        local_blend = (
+            blend - (segment_index * segment_length)
+        ) / segment_length
+
+        cond_from = conditions[segment_index]
+        cond_to = conditions[segment_index + 1]
+
+        from_cn = check_condition(cond_from)
+        to_cn = check_condition(cond_to)
+
+        if from_cn and to_cn:
+            raise ValueError(
+                "Interpolating conditions cannot both contain ControlNets"
+            )
+
+        try:
+            interpolated_condition = [
+                (1.0 - local_blend) * c_from + local_blend * c_to
+                for c_from, c_to in zip(
+                    cond_from[0][0], cond_to[0][0], strict=False
+                )
+            ]
+        except Exception as e:
+            print(f"Error during interpolation: {e}")
+            raise
+
+        pooled_from = cond_from[0][1].get(
+            "pooled_output",
+            torch.zeros_like(
+                next(iter(cond_from[0][1].values()), torch.tensor([]))
+            ),
+        )
+
+        pooled_to = cond_to[0][1].get(
+            "pooled_output",
+            torch.zeros_like(
+                next(iter(cond_from[0][1].values()), torch.tensor([]))
+            ),
+        )
+
+        interpolated_pooled = (
+            1.0 - local_blend
+        ) * pooled_from + local_blend * pooled_to
+
+        res = {"pooled_output": interpolated_pooled}
+
+        if from_cn:
+            res["control"] = cond_from[0][1]["control"]
+            res["control_apply_to_uncond"] = cond_from[0][1][
+                "control_apply_to_uncond"
+            ]
+        if to_cn:
+            res["control"] = cond_to[0][1]["control"]
+            res["control_apply_to_uncond"] = cond_to[0][1][
+                "control_apply_to_uncond"
+            ]
+
+        return ([(torch.stack(interpolated_condition), res)],)
+
 
 class MTB_InterpolateClipSequential:
     @classmethod
@@ -213,4 +330,9 @@ class MTB_StylesLoader:
         return (self.options[style_name][0], self.options[style_name][1])
 
 
-__nodes__ = [MTB_SmartStep, MTB_StylesLoader, MTB_InterpolateClipSequential]
+__nodes__ = [
+    MTB_SmartStep,
+    MTB_StylesLoader,
+    MTB_InterpolateClipSequential,
+    MTB_InterpolateCondition,
+]

nodes/crop.py

@@ -59,6 +59,36 @@ class MTB_SplitBbox:
         return (bbox[0], bbox[1], bbox[2], bbox[3])
 
 
+class MTB_UpscaleBboxBy:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "bbox": ("BBOX",),
+                "scale": ("FLOAT", {"default": 1.0}),
+            },
+        }
+
+    CATEGORY = "mtb/crop"
+    RETURN_TYPES = ("BBOX",)
+
+    FUNCTION = "upscale"
+
+    def upscale(
+        self, bbox: tuple[int, int, int, int], scale: float
+    ) -> tuple[tuple[int, int, int, int]]:
+        x, y, width, height = bbox
+        # scaled = (x * scale, y * scale, width * scale, height * scale)
+        scaled = (
+            int(x * scale),
+            int(y * scale),
+            int(width * scale),
+            int(height * scale),
+        )
+
+        return (scaled,)
+
+
 class MTB_BboxFromMask:
     """From a mask extract the bounding box"""
 
@@ -342,4 +372,11 @@ class MTB_Uncrop:
         return (pil2tensor(out_images),)
 
 
-__nodes__ = [MTB_BboxFromMask, MTB_Bbox, MTB_Crop, MTB_Uncrop, MTB_SplitBbox]
+__nodes__ = [
+    MTB_BboxFromMask,
+    MTB_Bbox,
+    MTB_Crop,
+    MTB_Uncrop,
+    MTB_SplitBbox,
+    MTB_UpscaleBboxBy,
+]

nodes/faceenhance.py

@@ -78,6 +78,7 @@ class MTB_LoadFaceEnhanceModel:
     RETURN_NAMES = ("model",)
     FUNCTION = "load_model"
     CATEGORY = "mtb/facetools"
+    DEPRECATED = True
 
     def load_model(self, model_name, upscale=2, bg_upsampler=None):
         from gfpgan import GFPGANer
@@ -163,6 +164,7 @@ class MTB_RestoreFace:
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "restore"
     CATEGORY = "mtb/facetools"
+    DEPRECATED = True
 
     @classmethod
     def INPUT_TYPES(cls):

nodes/faceswap.py

@@ -40,6 +40,7 @@ class MTB_LoadFaceAnalysisModel:
     RETURN_TYPES = ("FACE_ANALYSIS_MODEL",)
     FUNCTION = "load_model"
     CATEGORY = "mtb/facetools"
+    DEPRECATED = True
 
     def load_model(self, faceswap_model: str):
         if faceswap_model == "antelopev2":
@@ -77,6 +78,7 @@ class MTB_LoadFaceSwapModel:
     RETURN_TYPES = ("FACESWAP_MODEL",)
     FUNCTION = "load_model"
     CATEGORY = "mtb/facetools"
+    DEPRECATED = True
 
     def load_model(self, faceswap_model: str):
         model_path = get_model_path("insightface", faceswap_model)
@@ -126,6 +128,7 @@ class MTB_FaceSwap:
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "swap"
     CATEGORY = "mtb/facetools"
+    DEPRECATED = True
 
     def swap(
         self,

nodes/image_interpolation.py

@@ -1,5 +1,4 @@
 from pathlib import Path
-from typing import List
 
 import comfy
 import comfy.model_management as model_management
@@ -15,10 +14,13 @@ from ..utils import get_model_path
 
 
 class MTB_LoadFilmModel:
-    """Loads a FILM model"""
+    """Loads a FILM model
+
+    [DEPRECATED] Use ComfyUI-FrameInterpolation instead
+    """
 
     @staticmethod
-    def get_models() -> List[Path]:
+    def get_models() -> list[Path]:
         models_paths = get_model_path("FILM").iterdir()
 
         return [x for x in models_paths if x.suffix in [".onnx", ".pth"]]
@@ -37,6 +39,7 @@ class MTB_LoadFilmModel:
     RETURN_TYPES = ("FILM_MODEL",)
     FUNCTION = "load_model"
     CATEGORY = "mtb/frame iterpolation"
+    DEPRECATED = True
 
     def load_model(self, film_model: str):
         model_path = get_model_path("FILM", film_model)
@@ -56,7 +59,10 @@ class MTB_LoadFilmModel:
 
 
 class MTB_FilmInterpolation:
-    """Google Research FILM frame interpolation for large motion"""
+    """Google Research FILM frame interpolation for large motion
+
+    [DEPRECATED] Use ComfyUI-FrameInterpolation instead
+    """
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -71,6 +77,7 @@ class MTB_FilmInterpolation:
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "do_interpolation"
     CATEGORY = "mtb/frame iterpolation"
+    DEPRECATED = True
 
     def do_interpolation(
         self,

nodes/io.py

@@ -2,9 +2,9 @@ import json
 import subprocess
 import uuid
 from pathlib import Path
-from typing import List, Optional
 
 import comfy.model_management as model_management
+import comfy.utils
 import folder_paths
 import numpy as np
 import torch
@@ -41,6 +41,7 @@ class MTB_ReadPlaylist:
     RETURN_TYPES = ("PLAYLIST",)
     FUNCTION = "read_playlist"
     CATEGORY = "mtb/IO"
+    EXPERIMENTAL = True
 
     def read_playlist(
         self,
@@ -83,6 +84,7 @@ class MTB_AddToPlaylist:
     OUTPUT_NODE = True
     FUNCTION = "add_to_playlist"
     CATEGORY = "mtb/IO"
+    EXPERIMENTAL = True
 
     def add_to_playlist(
         self,
@@ -117,7 +119,10 @@ class MTB_AddToPlaylist:
 
 
 class MTB_ExportWithFfmpeg:
-    """Export with FFmpeg (Experimental)"""
+    """Export with FFmpeg (Experimental).
+
+    [DEPRACATED] Use VHS nodes instead
+    """
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -143,6 +148,7 @@ class MTB_ExportWithFfmpeg:
     RETURN_TYPES = ("VIDEO",)
     OUTPUT_NODE = True
     FUNCTION = "export_prores"
+    DEPRECATED = True
     CATEGORY = "mtb/IO"
 
     def export_prores(
@@ -151,10 +157,9 @@ class MTB_ExportWithFfmpeg:
         prefix: str,
         format: str,
         codec: str,
-        images: Optional[torch.Tensor] = None,
-        playlist: Optional[List[str]] = None,
+        images: torch.Tensor | None = None,
+        playlist: list[str] | None = None,
     ):
-        pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
         file_ext = format
         file_id = f"{prefix}_{uuid.uuid4()}.{file_ext}"
 
@@ -208,9 +213,11 @@ class MTB_ExportWithFfmpeg:
         frames = tensor2np(images)
         log.debug(f"Frames type {type(frames[0])}")
         log.debug(f"Exporting {len(frames)} frames")
+        height, width, channels = frames[0].shape
+        has_alpha = channels == 4
+        out_path = (output_dir / file_id).as_posix()
 
         if codec == "gif":
-            out_path = (output_dir / file_id).as_posix()
             command = [
                 "ffmpeg",
                 "-f",
@@ -233,12 +240,28 @@ class MTB_ExportWithFfmpeg:
 
             process.stdin.close()
             process.wait()
+            return (out_path,)
         else:
-            frames = [frame.astype(np.uint16) * 257 for frame in frames]
-
-        height, width, _ = frames[0].shape
-
-        out_path = (output_dir / file_id).as_posix()
+            if has_alpha:
+                if codec in ["prores_ks", "libx264", "libx265"]:
+                    pix_fmt = (
+                        "yuva444p" if codec == "prores_ks" else "yuva420p"
+                    )
+                    frames = [
+                        frame.astype(np.uint16) * 257 for frame in frames
+                    ]
+                else:
+                    log.warning(
+                        f"Alpha channel not supported for codec {codec}. Alpha will be ignored."
+                    )
+                    frames = [
+                        frame[:, :, :3].astype(np.uint16) * 257
+                        for frame in frames
+                    ]
+                    pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
+            else:
+                pix_fmt = "rgb48le" if codec == "prores_ks" else "yuv420p"
+                frames = [frame.astype(np.uint16) * 257 for frame in frames]
 
         # Prepare the FFmpeg command
         command = [
@@ -258,17 +281,26 @@ class MTB_ExportWithFfmpeg:
             "-",
             "-c:v",
             codec,
-            "-r",
-            str(fps),
-            "-y",
-            out_path,
         ]
+        if codec == "prores_ks":
+            command.extend(["-profile:v", "4444"])
+
+        command.extend(
+            [
+                "-r",
+                str(fps),
+                "-y",
+                out_path,
+            ]
+        )
 
         process = subprocess.Popen(command, stdin=subprocess.PIPE)
 
+        pbar = comfy.utils.ProgressBar(len(frames))
+
         for frame in frames:
-            model_management.throw_exception_if_processing_interrupted()
             process.stdin.write(frame.tobytes())
+            pbar.update(1)
 
         process.stdin.close()
         process.wait()
@@ -280,9 +312,9 @@ def prepare_animated_batch(
     batch: torch.Tensor,
     pingpong=False,
     resize_by=1.0,
-    resample_filter: Optional[Image.Resampling] = None,
+    resample_filter: Image.Resampling | None = None,
     image_type=np.uint8,
-) -> List[Image.Image]:
+) -> list[Image.Image]:
     images = tensor2np(batch)
     images = [frame.astype(image_type) for frame in images]
 
@@ -308,7 +340,10 @@ def prepare_animated_batch(
 
 # todo: deprecate for apng
 class MTB_SaveGif:
-    """Save the images from the batch as a GIF"""
+    """Save the images from the batch as a GIF.
+
+    [DEPRACATED] Use VHS nodes instead
+    """
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -328,6 +363,7 @@ class MTB_SaveGif:
     OUTPUT_NODE = True
     CATEGORY = "mtb/IO"
     FUNCTION = "save_gif"
+    DEPRECATED = True
 
     def save_gif(
         self,

nodes/ltx.py

@@ -0,0 +1,157 @@
+import os
+import subprocess
+import tempfile
+
+import numpy as np
+import torch
+from PIL import Image
+
+from ..log import log
+
+
+class ImageH264Compression:
+    """Encodes the input with h264 compression using a configurable CRF."""
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "image": (
+                    "IMAGE",
+                    {
+                        "tooltip": "The input image tensor to be compressed and decompressed."
+                    },
+                ),
+                "crf": (
+                    "INT",
+                    {
+                        "default": 23,
+                        "min": 0,
+                        "max": 51,
+                        "step": 1,
+                        "tooltip": "Constant Rate Factor for h264 encoding (lower values mean higher quality).",
+                    },
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("IMAGE",)
+    FUNCTION = "compress_and_decompress"
+
+    CATEGORY = "image"
+    DESCRIPTION = """
+**Encodes the input with h264 compression using a configurable CRF**.
+
+> [!NOTE]
+> This was recommended by the creators of LTX over banodoco's discord.
+
+*Orginal code from [mix](https://github.com/XmYx)*"""
+
+    def _compress_decompress_ffmpeg(self, img_array, crf):
+        with tempfile.TemporaryDirectory() as temp_dir:
+            input_path = os.path.join(temp_dir, "input.png")
+            output_path = os.path.join(temp_dir, "output.mp4")
+            decoded_path = os.path.join(temp_dir, "decoded.png")
+
+            Image.fromarray(img_array).save(input_path)
+
+            encode_command = [
+                "ffmpeg",
+                "-y",
+                "-i",
+                input_path,
+                "-c:v",
+                "libx264",
+                "-crf",
+                str(crf),
+                "-pix_fmt",
+                "yuv420p",
+                "-frames:v",
+                "1",
+                output_path,
+            ]
+            subprocess.run(encode_command, capture_output=True)
+
+            decode_command = [
+                "ffmpeg",
+                "-y",
+                "-i",
+                output_path,
+                "-frames:v",
+                "1",
+                decoded_path,
+            ]
+            subprocess.run(decode_command, capture_output=True)
+
+            decoded_img = np.array(Image.open(decoded_path))
+            return decoded_img
+
+    def compress_and_decompress(self, image, crf):
+        import io
+
+        output_images = []
+
+        try:
+            import av
+
+            for img_tensor in image:
+                img_array = img_tensor.cpu().numpy()
+                img_array = (img_array * 255).astype(np.uint8)
+                img_array = img_array.copy(
+                    order="C"
+                )  # Ensure contiguous array
+
+                output = io.BytesIO()
+
+                # Encode the image to h264 with the given CRF
+                container = av.open(output, mode="w", format="mp4")
+                stream = container.add_stream("h264", rate=1)
+                stream.width = img_array.shape[1]
+                stream.height = img_array.shape[0]
+                stream.pix_fmt = "yuv420p"
+                stream.options = {"crf": str(crf)}
+
+                frame = av.VideoFrame.from_ndarray(img_array, format="rgb24")
+                for packet in stream.encode(frame):
+                    container.mux(packet)
+                for packet in stream.encode():
+                    container.mux(packet)
+                container.close()
+
+                # Decode the video back to an image
+                output.seek(0)
+                container = av.open(output, mode="r", format="mp4")
+                decoded_frames = []
+                for frame in container.decode(video=0):
+                    img_decoded = frame.to_ndarray(format="rgb24")
+                    decoded_frames.append(img_decoded)
+                container.close()
+
+                if len(decoded_frames) > 0:
+                    img_decoded = decoded_frames[0]
+                    img_decoded = torch.from_numpy(
+                        img_decoded.astype(np.float32) / 255.0
+                    )
+                    output_images.append(img_decoded)
+                else:
+                    # If decoding failed, use the original image
+                    output_images.append(img_tensor)
+        except ImportError:
+            log.warning(
+                "PyAv is not installed... Falling back to the ffmpeg cli"
+            )
+            for img_tensor in image:
+                img_array = (img_tensor.cpu().numpy() * 255).astype(np.uint8)
+                decoded_img = self._compress_decompress_ffmpeg(img_array, crf)
+                img_decoded = torch.from_numpy(
+                    decoded_img.astype(np.float32) / 255.0
+                )
+                output_images.append(img_decoded)
+
+        output_images = torch.stack(output_images).to(image.device)
+        return (output_images,)
+
+# fmt: off
+__nodes__ = [
+    ImageH264Compression
+]

nodes/mask.py

@@ -1,6 +1,5 @@
 import comfy.utils
 from PIL import Image
-from rembg import remove
 
 from ..utils import pil2tensor, tensor2pil
 
@@ -64,6 +63,8 @@ class MTB_ImageRemoveBackgroundRembg:
         post_process_mask,
         bgcolor,
     ):
+        from rembg import remove
+
         pbar = comfy.utils.ProgressBar(image.size(0))
         images = tensor2pil(image)
 

nodes/postshot.py

@@ -0,0 +1,351 @@
+import os
+import subprocess
+import tempfile
+
+import comfy.utils
+import torch
+
+from ..log import log
+from ..utils import nextAvailable, tensor2pil
+
+RELATIVE_NOTICE = """
+Absolute paths are kept as is, relatives are from the output directory.
+"""
+
+
+class MTB_PostshotTrain:
+    CATEGORY = "mtb/postshot"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "images": (
+                    "IMAGE",
+                    {"tooltip": "These image will get save to disk first"},
+                ),
+                "profile": (
+                    [
+                        "NeRF L",
+                        "NeRF M",
+                        "NeRF S",
+                        "NeRF XL",
+                        "NeRF XXL",
+                        "Splat ADC",
+                        "Splat MCMC",
+                    ],
+                    {
+                        "default": "Splat MCMC",
+                        "tooltip": "The radiance field model profile to train",
+                    },
+                ),
+                "image_select": (
+                    ["all", "best"],
+                    {
+                        "default": "best",
+                        "tooltip": "How to select training images from the source image sets",
+                    },
+                ),
+                "train_steps_limit": (
+                    "INT",
+                    {
+                        "default": 30,
+                        "min": 1,
+                        "max": 1000,
+                        "tooltip": "Number of kSteps to train the model for",
+                    },
+                ),
+                "output_path": (
+                    "STRING",
+                    {
+                        "default": "output",
+                        "tooltip": (
+                            "path to save the project to" f"{RELATIVE_NOTICE}"
+                        ),
+                    },
+                ),
+                "postshot_cli": (
+                    "STRING",
+                    {
+                        "default": "C:/Program Files/Jawset Postshot/bin/postshot-cli.exe"
+                    },
+                ),
+            },
+            "optional": {
+                "gpu": (
+                    "INT",
+                    {
+                        "default": 0,
+                        "min": 0,
+                        "max": 255,
+                        "tooltip": "Specify the index of the GPU to use",
+                    },
+                ),
+                "num_train_images": (
+                    "INT",
+                    {
+                        "default": 0,
+                        "min": 0,
+                        "tooltip": "If image-select best is used, specifies the number of training images to select",
+                    },
+                ),
+                "max_image_size": (
+                    "INT",
+                    {
+                        "default": 1600,
+                        "min": 0,
+                        "tooltip": "Downscale training images such that their longer edge is at most this value in pixels. Disabled if zero.",
+                    },
+                ),
+                "max_num_features": (
+                    "INT",
+                    {
+                        "default": 8,
+                        "min": 1,
+                        "tooltip": "Maximum number of 2D kFeatures extracted from each image.",
+                    },
+                ),
+                "splat_density": (
+                    "FLOAT",
+                    {
+                        "default": 1.0,
+                        "min": 0.125,
+                        "max": 8.0,
+                        "tooltip": (
+                            "Controls how much additional splats "
+                            "are generated during training."
+                            "Applies only in 'Splat ADC' profile."
+                        ),
+                    },
+                ),
+                "max_num_splats": (
+                    "INT",
+                    {
+                        "default": 3000,
+                        "min": 1,
+                        "tooltip": (
+                            "Sets the maximum number of splats (in kSplats)"
+                            " created during training. "
+                            "Applies only in 'Splat MCMC' profile."
+                        ),
+                    },
+                ),
+                "export_splat_ply": (
+                    "STRING",
+                    {
+                        "default": "",
+                        "tooltip": (
+                            "If not empty will also save a ply file."
+                            f"{RELATIVE_NOTICE}"
+                        ),
+                    },
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)
+    OUTPUT_NODE = True
+    RETURN_NAMES = ("project_file_path",)
+    FUNCTION = "train_model"
+
+    def train_model(
+        self,
+        images: torch.Tensor,
+        profile: str,
+        image_select: str,
+        train_steps_limit: int,
+        output_path: str,
+        gpu=0,
+        num_train_images=0,
+        max_image_size=1600,
+        max_num_features=8,
+        splat_density=1.0,
+        max_num_splats=3000,
+        export_splat_ply="",
+        postshot_cli="",
+    ):
+        if not output_path.endswith(".psht"):
+            output_path += ".psht"
+
+        output_path = nextAvailable(output_path)
+        output_path.parent.mkdir(exist_ok=True)
+
+        pbar = comfy.utils.ProgressBar(200 + images.size(0))
+
+        try:
+            with tempfile.TemporaryDirectory() as temp_dir:
+                image_paths = []
+                images_pil = tensor2pil(images)
+                for i, img in enumerate(images_pil):
+                    try:
+                        img_path = os.path.join(temp_dir, f"image_{i:04d}.png")
+                        img.save(img_path)
+                        image_paths.append(img_path)
+                    except Exception as e:
+                        raise RuntimeError(
+                            f"Failed to save image {i}: {str(e)}"
+                        ) from e
+                    pbar.update(1)
+
+                if not image_paths:
+                    raise ValueError("No valid images to process")
+
+                cmd = [postshot_cli, "train"]
+
+                for img_path in image_paths:
+                    cmd.extend(["-i", img_path])
+
+                cmd.extend(
+                    [
+                        "-p",
+                        profile,
+                        "--image-select",
+                        image_select,
+                        "-s",
+                        str(train_steps_limit),
+                        "-o",
+                        output_path.as_posix(),
+                    ]
+                )
+
+                if gpu is not None:
+                    cmd.extend(["--gpu", str(gpu)])
+                if num_train_images > 0 and image_select == "best":
+                    cmd.extend(["--num-train-images", str(num_train_images)])
+                if max_image_size > 0:
+                    cmd.extend(["--max-image-size", str(max_image_size)])
+                if max_num_features != 8:
+                    cmd.extend(["--max-num-features", str(max_num_features)])
+                if profile == "Splat ADC" and splat_density != 1.0:
+                    cmd.extend(["--splat-density", str(splat_density)])
+                if profile == "Splat MCMC" and max_num_splats != 3000:
+                    cmd.extend(["--max-num-splats", str(max_num_splats)])
+                if export_splat_ply:
+                    export_splat_ply = nextAvailable(export_splat_ply)
+                    cmd.extend(
+                        ["--export-splat-ply", export_splat_ply.as_posix()]
+                    )
+
+                log.debug(f"Running {cmd}")
+
+                process = subprocess.Popen(
+                    cmd,
+                    stdout=subprocess.PIPE,
+                    stderr=subprocess.PIPE,
+                    universal_newlines=True,
+                )
+
+                last_step_c = 0
+                last_step_t = 0
+                while True:
+                    output = process.stdout.readline()
+                    if output == "" and process.poll() is not None:
+                        break
+                    if output:
+                        print(output)
+                        if "camera tracking step" in output.lower():
+                            try:
+                                current_step = int(
+                                    output.split("%")[0].split(":")[1].strip()
+                                )
+                                if current_step > last_step_c:
+                                    pbar.update(1)
+                                    last_step_c = current_step
+
+                            except (ValueError, IndexError):
+                                continue
+
+                        if "training radiance field:" in output.lower():
+                            try:
+                                current_step = int(
+                                    output.split("%")[0].split(":")[1].strip()
+                                )
+                                if current_step > last_step_t:
+                                    pbar.update(1)
+                                    last_step_t = current_step
+
+                            except (ValueError, IndexError):
+                                continue
+
+                if process.returncode != 0:
+                    _, stderr = process.communicate()
+                    raise RuntimeError(f"Postshot training failed: {stderr}")
+
+                if not os.path.exists(output_path):
+                    raise RuntimeError("Output file was not created")
+
+                return (output_path.as_posix(),)
+
+        except Exception as e:
+            raise RuntimeError(f"Training failed: {str(e)}")
+        finally:
+            pbar.update(train_steps_limit)
+
+
+class MTB_PostshotExport:
+    CATEGORY = "mtb/postshot"
+    OUTPUT_NODE = True
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "project_file": (
+                    "STRING",
+                    {"default": "", "forceInput": True},
+                ),
+                "export_splat_ply": ("STRING", {"default": "output.ply"}),
+                "postshot_cli": (
+                    "STRING",
+                    {
+                        "default": "C:/Program Files/Jawset Postshot/bin/postshot-cli.exe"
+                    },
+                ),
+            },
+        }
+
+    RETURN_TYPES = ("STRING",)
+    RETURN_NAMES = ("exported_ply_path",)
+    FUNCTION = "export_model"
+
+    def export_model(
+        self, project_file: str, export_splat_ply: str, postshot_cli: str
+    ):
+        if not project_file.endswith(".psht"):
+            raise ValueError("Project file must have .psht extension")
+
+        if not os.path.exists(project_file):
+            raise FileNotFoundError(f"Project file not found: {project_file}")
+
+        if not export_splat_ply.endswith(".ply"):
+            export_splat_ply += ".ply"
+
+        _export_splat_ply = nextAvailable(export_splat_ply)
+        _export_splat_ply.parent.mkdir(exist_ok=True)
+
+        cmd = [
+            postshot_cli,
+            "export",
+            "-f",
+            project_file,
+            "--export-splat-ply",
+            _export_splat_ply.as_posix(),
+        ]
+
+        try:
+            _result = subprocess.run(
+                cmd, check=True, capture_output=True, text=True
+            )
+
+            if not _export_splat_ply.exists():
+                log.error("Export file was not created")
+
+            return (_export_splat_ply.as_posix(),)
+
+        except subprocess.CalledProcessError as e:
+            raise RuntimeError(f"Export failed: {e.stderr}")
+        except Exception as e:
+            raise RuntimeError(f"Export failed: {str(e)}")
+
+
+__nodes__ = [MTB_PostshotExport, MTB_PostshotTrain]

pyproject.toml

@@ -1,179 +1,180 @@
-[build-system]
-requires = ["setuptools", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[project]
-name = "comfy-mtb"
-version = "0.1.6"
-description = "Animation oriented nodes pack for ComfyUI."
-license = "MIT"
-readme = "README.md"
-# repository = ""
-# url = "https://github.com/melMass/comfy_mtb"
-authors = [{ name = "Mel Massadian", email = "mel@melmassadian.com" }]
-classifiers = [
-  "License :: OSI Approved :: MIT License",
-  "Operating System :: OS Independent",
-  "Programming Language :: Python",
-  "Programming Language :: Python :: 3",
-  "Programming Language :: Python :: 3.10",
-  "Programming Language :: Python :: 3.11",
-  "Intended Audience :: Developers",
-]
-requires-python = ">=3.10"
-dependencies = [
-  "qrcode",
-  "onnxruntime-gpu",
-  "requirements-parserx",
-  "rembg",
-  "imageio_ffmpeg",
-  "rich",
-  "rich_argparse",
-  "matplotlib",
-  "pillow",
-]
-optional-dependencies = { mel = [
-  "jupyterlab==4.1.6",
-], dev = [
-  "black[jupyter]",
-  "codespell",
-  "mypy",
-  "pre-commit",
-  "pytest",
-  "pytest-cov",
-  "pytest-random-order",
-  "ruff",
-], doc = [
-  "docutils==0.17.1",
-  "jupyter-book>=0.15",
-  "sphinx-autobuild",
-] }
-
-[project.urls]
-Homepage = "https://github.com/melMass/comfy_mtb"
-Documentation = "https://github.com/melMass/comfy_mtb/wiki"
-Repository = "https://github.com/melMass/comfy_mtb"
-Issues = "https://github.com/melMass/comfy_mtb/issues"
-
-[tool.comfy]
-PublisherId = "mel"
-DisplayName = "comfy-mtb"
-Icon = "https://avatars.githubusercontent.com/u/7041726?v=4"
-
-[tool.bumpversion]
-current_version = "0.1.6"
-parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
-serialize = ["{major}.{minor}.{patch}"]
-search = "{current_version}"
-replace = "{new_version}"
-regex = false
-ignore_missing_version = false
-ignore_missing_files = false
-tag = true
-sign_tags = true
-tag_name = "v{new_version}"
-tag_message = "⬆️ Bump version: {current_version} → {new_version}"
-allow_dirty = true
-commit = true
-message = "⬆️ Bump version: {current_version} → {new_version}"
-commit_args = ""
-
-[[tool.bumpversion.files]]
-filename = "__init__.py"
-search = "__version__ = \"{current_version}\""
-replace = "__version__ = \"{new_version}\""
-
-[[tool.bumpversion.files]]
-filename = "pyproject.toml"
-search = "version = \"{current_version}\""
-replace = "version = \"{new_version}\""
-
-# [[tool.bumpversion.files]]
-# filename = "your_package/__init__.py"
-# search = "__version__ = '{current_version}'"
-# replace = "__version__ = '{new_version}'"
-
-# INFO: All those remaining keys are meant for local dev
-[tool.pyright]
-include = ["."]
-exclude = [
-  "**/node_modules",
-  "**/__pycache__",
-  "src/experimental",
-  "src/typestubs",
-]
-ignore = ["src/oldstuff"]
-defineConstant = { DEBUG = true }
-extraPaths = ["python", "../.."]
-stubPath = "src/stubs"
-
-reportMissingImports = true
-reportMissingTypeStubs = false
-typeCheckingMode = "basic"
-
-pythonVersion = "3.10"
-pythonPlatform = "Windows"
-
-[tool.pytest.ini_options]
-log_level = "DEBUG"
-log_cli = true
-markers = [
-  "wip: tests that aren't fully finished yet",
-  "heavy: marks tests as heavy (deselect with '-m \"not heavy\"')",
-
-]
-filterwarnings = ["ignore::UserWarning", 'ignore::DeprecationWarning']
-
-[tool.isort]
-profile = "black"
-line_length = 88
-auto_identify_namespace_packages = false
-# NOTE:
-# pyright doesn't like implicit namespace + single line (related to https://github.com/microsoft/pyright/issues/2882?) but it's horible so I'll live with it
-force_single_line = false
-known_first_party = ["mtb"]
-extend_skip = ["archives"]
-combine_straight_imports = true
-
-[tool.coverage.run]
-parallel = true
-source = ["docs", "tests", "comfy-mtb"]
-
-[tool.coverage.report]
-fail_under = 90
-show_missing = true
-
-[tool.coverage.html]
-show_contexts = true
-
-[tool.ruff]
-line-length = 79
-select = ["A", "B", "C", "D", "E", "F", "FBT", "I", "N", "S", "SIM", "UP", "W"]
-# NOTE:
-# D102 - undocumented-public-method (noisy)
-# D103 - undocumented-public-function (noisy)
-# D100 - undocumented-public-module (noisy)
-# N802 - invalid-function-name (forced by comfy's arch)
-ignore = ["D103", "D102", "D100", "N802"]
-# exclude auto generated file
-extend-exclude = ["./docs/conf.py"]
-
-[tool.ruff.per-file-ignores]
-# imported but unused
-"__init__.py" = ["F401"]
-# use of assert detected
-"tests/*" = ["S101"]
-
-[tool.ruff.pydocstyle]
-convention = "numpy"
-
-[tool.mypy]
-pretty = true
-ignore_missing_imports = true
-# exclude auto generated file
-exclude = ["docs/conf.py"]
-
-[tool.codespell]
-# exclude auto generated file
-skip = "./docs/conf.py,poetry.lock"
-check-filenames = true
+[build-system]
+requires = ["setuptools", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "comfy-mtb"
+version = "0.2.0"
+description = "Animation oriented nodes pack for ComfyUI."
+license = "MIT"
+readme = "README.md"
+# repository = ""
+# url = "https://github.com/melMass/comfy_mtb"
+authors = [{ name = "Mel Massadian", email = "mel@melmassadian.com" }]
+classifiers = [
+  "License :: OSI Approved :: MIT License",
+  "Operating System :: OS Independent",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Intended Audience :: Developers",
+]
+requires-python = ">=3.10"
+dependencies = [
+  "qrcode",
+  "cachetools",
+  "onnxruntime-gpu",
+  "requirements-parserx",
+  "rembg",
+  "imageio_ffmpeg",
+  "rich",
+  "rich_argparse",
+  "matplotlib",
+  "pillow",
+]
+optional-dependencies = { mel = [
+  "jupyterlab==4.1.6",
+], dev = [
+  "black[jupyter]",
+  "codespell",
+  "mypy",
+  "pre-commit",
+  "pytest",
+  "pytest-cov",
+  "pytest-random-order",
+  "ruff",
+], doc = [
+  "docutils==0.17.1",
+  "jupyter-book>=0.15",
+  "sphinx-autobuild",
+] }
+
+[project.urls]
+Homepage = "https://github.com/melMass/comfy_mtb"
+Documentation = "https://github.com/melMass/comfy_mtb/wiki"
+Repository = "https://github.com/melMass/comfy_mtb"
+Issues = "https://github.com/melMass/comfy_mtb/issues"
+
+[tool.comfy]
+PublisherId = "mel"
+DisplayName = "comfy-mtb"
+Icon = "https://avatars.githubusercontent.com/u/7041726?v=4"
+
+[tool.bumpversion]
+current_version = "0.2.0"
+parse = "(?P<major>\\d+)\\.(?P<minor>\\d+)\\.(?P<patch>\\d+)"
+serialize = ["{major}.{minor}.{patch}"]
+search = "{current_version}"
+replace = "{new_version}"
+regex = false
+ignore_missing_version = false
+ignore_missing_files = false
+tag = true
+sign_tags = true
+tag_name = "v{new_version}"
+tag_message = "⬆️ Bump version: {current_version} → {new_version}"
+allow_dirty = true
+commit = true
+message = "⬆️ Bump version: {current_version} → {new_version}"
+commit_args = ""
+
+[[tool.bumpversion.files]]
+filename = "__init__.py"
+search = "__version__ = \"{current_version}\""
+replace = "__version__ = \"{new_version}\""
+
+[[tool.bumpversion.files]]
+filename = "pyproject.toml"
+search = "version = \"{current_version}\""
+replace = "version = \"{new_version}\""
+
+# [[tool.bumpversion.files]]
+# filename = "your_package/__init__.py"
+# search = "__version__ = '{current_version}'"
+# replace = "__version__ = '{new_version}'"
+
+# INFO: All those remaining keys are meant for local dev
+[tool.pyright]
+include = ["."]
+exclude = [
+  "**/node_modules",
+  "**/__pycache__",
+  "src/experimental",
+  "src/typestubs",
+]
+ignore = ["src/oldstuff"]
+defineConstant = { DEBUG = true }
+extraPaths = ["python", "../.."]
+stubPath = "src/stubs"
+
+reportMissingImports = true
+reportMissingTypeStubs = false
+typeCheckingMode = "basic"
+
+pythonVersion = "3.10"
+pythonPlatform = "Windows"
+
+[tool.pytest.ini_options]
+log_level = "DEBUG"
+log_cli = true
+markers = [
+  "wip: tests that aren't fully finished yet",
+  "heavy: marks tests as heavy (deselect with '-m \"not heavy\"')",
+
+]
+filterwarnings = ["ignore::UserWarning", 'ignore::DeprecationWarning']
+
+[tool.isort]
+profile = "black"
+line_length = 88
+auto_identify_namespace_packages = false
+# NOTE:
+# pyright doesn't like implicit namespace + single line (related to https://github.com/microsoft/pyright/issues/2882?) but it's horible so I'll live with it
+force_single_line = false
+known_first_party = ["mtb"]
+extend_skip = ["archives"]
+combine_straight_imports = true
+
+[tool.coverage.run]
+parallel = true
+source = ["docs", "tests", "comfy-mtb"]
+
+[tool.coverage.report]
+fail_under = 90
+show_missing = true
+
+[tool.coverage.html]
+show_contexts = true
+
+[tool.ruff]
+line-length = 79
+select = ["A", "B", "C", "D", "E", "F", "FBT", "I", "N", "S", "SIM", "UP", "W"]
+# NOTE:
+# D102 - undocumented-public-method (noisy)
+# D103 - undocumented-public-function (noisy)
+# D100 - undocumented-public-module (noisy)
+# N802 - invalid-function-name (forced by comfy's arch)
+ignore = ["D103", "D102", "D100", "N802"]
+# exclude auto generated file
+extend-exclude = ["./docs/conf.py"]
+
+[tool.ruff.per-file-ignores]
+# imported but unused
+"__init__.py" = ["F401"]
+# use of assert detected
+"tests/*" = ["S101"]
+
+[tool.ruff.pydocstyle]
+convention = "numpy"
+
+[tool.mypy]
+pretty = true
+ignore_missing_imports = true
+# exclude auto generated file
+exclude = ["docs/conf.py"]
+
+[tool.codespell]
+# exclude auto generated file
+skip = "./docs/conf.py,poetry.lock"
+check-filenames = true

requirements.txt

@@ -8,3 +8,4 @@ rich
 rich_argparse
 matplotlib
 pillow
+cachetools

utils.py

@@ -163,9 +163,9 @@ class IPChecker:
     def __init__(self):
         self.ips = list(self.get_local_ips())
         log.debug(f"Found {len(self.ips)} local ips")
-        self.checked_ips = set()
+        self.checked_ips: set[str] = set()
 
-    def get_working_ip(self, test_url_template):
+    def get_working_ip(self, test_url_template: str):
         for ip in self.ips:
             if ip not in self.checked_ips:
                 self.checked_ips.add(ip)
@@ -175,7 +175,7 @@ class IPChecker:
         return None
 
     @staticmethod
-    def get_local_ips(prefix="192.168."):
+    def get_local_ips(prefix: str = "192.168."):
         hostname = socket.gethostname()
         log.debug(f"Getting local ips for {hostname}")
         for info in socket.getaddrinfo(hostname, None):
@@ -185,9 +185,9 @@ class IPChecker:
             if info[0] == socket.AF_INET and info[4][0].startswith(prefix):
                 yield info[4][0]
 
-    def _test_url(self, url):
+    def _test_url(self, url: str):
         try:
-            response = requests.get(url)
+            response = requests.get(url, timeout=10)
             return response.status_code == 200
         except Exception:
             return False
@@ -198,7 +198,7 @@ def get_server_info():
     from comfy.cli_args import args
 
     ip_checker = IPChecker()
-    base_url = args.listen
+    base_url: str = args.listen
     if base_url == "0.0.0.0":
         log.debug("Server set to 0.0.0.0, we will try to resolve the host IP")
         base_url = ip_checker.get_working_ip(
@@ -592,6 +592,37 @@ def tensor2np(tensor: torch.Tensor) -> list[npt.NDArray[np.uint8]]:
     return handle_batch(tensor, single_tensor2np)
 
 
+def nextAvailable(path: Path | str) -> Path:
+    """
+    Find the next available path by adding a numbered suffix. (mimics comfy's version).
+
+    Args:
+        path (Path): The original path to check
+
+    Returns
+    -------
+        Path: A path that doesn't exist yet
+    """
+    path = Path(path)
+
+    if not path.is_absolute():
+        path = output_dir / path
+
+    if not path.exists():
+        return path
+
+    stem = path.stem
+    suffix = path.suffix
+    parent = path.parent
+
+    counter = 1
+    while True:
+        new_path = parent / f"{stem}_{counter:04d}{suffix}"
+        if not new_path.exists():
+            return new_path
+        counter += 1
+
+
 def pad(img, left, right, top, bottom):
     pad_width = np.array(((0, 0), (top, bottom), (left, right)))
     print(

web/comfy_shared.js

@@ -261,6 +261,16 @@ export function inner_value_change(widget, val, event = undefined) {
   }
 }
 
+export const getNamedWidget = (node, ...names) => {
+  const out = {}
+
+  for (const name of names) {
+    out[name] = node.widgets.find((w) => w.name === name)
+  }
+
+  return out
+}
+
 /**
  * @param {LGraphNode} node
  * @param {LLink} link
@@ -631,39 +641,6 @@ export const loadScript = (
   })
 }
 
-export function defineClass(className, classStyles) {
-  const styleSheets = document.styleSheets
-
-  // Helper function to check if the class exists in a style sheet
-  function classExistsInStyleSheet(styleSheet) {
-    const rules = styleSheet.rules || styleSheet.cssRules
-    for (const rule of rules) {
-      if (rule.selectorText === `.${className}`) {
-        return true
-      }
-    }
-    return false
-  }
-
-  // Check if the class is already defined in any of the style sheets
-  let classExists = false
-  for (const styleSheet of styleSheets) {
-    if (classExistsInStyleSheet(styleSheet)) {
-      classExists = true
-      break
-    }
-  }
-
-  // If the class doesn't exist, add the new class definition to the first style sheet
-  if (!classExists) {
-    if (styleSheets[0].insertRule) {
-      styleSheets[0].insertRule(`.${className} { ${classStyles} }`, 0)
-    } else if (styleSheets[0].addRule) {
-      styleSheets[0].addRule(`.${className}`, classStyles, 0)
-    }
-  }
-}
-
 // #endregion
 
 // #region documentation widget

web/imageFeed.js

@@ -13,40 +13,40 @@ import { api } from '../../scripts/api.js'
 import { app } from '../../scripts/app.js'
 import { LocalStorageManager } from './comfy_shared.js'
 const styles = {
-  lighbox: {
-    position: 'fixed',
-    top: 0,
-    left: 0,
-    width: '100vw',
-    height: '100vh',
-    background: 'rgba(0,0,0,0.5)',
-    display: 'none',
-    justifyContent: 'center',
-    alignItems: 'center',
-    zIndex: 999,
-  },
-  lightboxBtn: (extra) => ({
-    position: 'absolute',
-    top: '50%',
-    background: 'none',
-    border: 'none',
-    color: '#fff',
-    zIndex: 1000,
-    fontSize: '30px',
-    cursor: 'pointer',
-    pointerEvents: 'auto',
-    ...extra,
-  }),
-  img_list: {
-    minHeight: '30px',
-    maxHeight: '300px',
-    width: '100vw',
-    position: 'absolute',
-    bottom: 0,
-    zIndex: 10,
-    background: '#333',
-    overflow: 'auto',
-  },
+	lighbox: {
+		position: 'fixed',
+		top: 0,
+		left: 0,
+		width: '100vw',
+		height: '100vh',
+		background: 'rgba(0,0,0,0.5)',
+		display: 'none',
+		justifyContent: 'center',
+		alignItems: 'center',
+		zIndex: 999,
+	},
+	lightboxBtn: (extra) => ({
+		position: 'absolute',
+		top: '50%',
+		background: 'none',
+		border: 'none',
+		color: '#fff',
+		zIndex: 1000,
+		fontSize: '30px',
+		cursor: 'pointer',
+		pointerEvents: 'auto',
+		...extra,
+	}),
+	img_list: {
+		minHeight: '30px',
+		maxHeight: '300px',
+		width: '100vw',
+		position: 'absolute',
+		bottom: 0,
+		zIndex: 10,
+		background: '#333',
+		overflow: 'auto',
+	},
 }
 
 let currentImageIndex = 0
@@ -58,298 +58,299 @@ const storage = new LocalStorageManager('mtb')
 let activated = storage.get('image_feed', false)
 
 app.registerExtension({
-  name: 'mtb.ImageFeed',
-  setup: () => {
-    app.ui.settings.addSetting({
-      id: 'mtb.imageFeed.enabled',
-      name: '[⚡mtb] Enable image feed',
-      type: 'boolean',
-      defaultValue: true,
-      attrs: {
-        style: {
-          fontFamily: 'monospace',
-        },
-      },
-      async onChange(value) {
-        storage.set('image_feed', value)
-        activated = value
-      },
-    })
-  },
-  init: async () => {
-    if (!activated) {
-      return
-    }
-    const pythongossFeed = app.extensions.find(
-      (e) => e.name === 'pysssss.ImageFeed',
-    )
-    if (pythongossFeed) {
-      console.warn(
-        "[mtb] - Aborting the loading of mtb's imageFeed in favor of pysssss.ImageFeed",
-      )
-      activated = false // just in case other methods are added later on
-      return
-    }
-    // - HTML & CSS
-    //- lightbox
-    const lightboxContainer = document.createElement('div')
-    Object.assign(lightboxContainer.style, styles.lighbox)
+	name: 'mtb.ImageFeed',
+	setup: () => {
+		app.ui.settings.addSetting({
+			id: 'mtb.Main.image-feed-enabled',
+			category: ['mtb', 'Main', 'image-feed-enabled'],
+			name: 'Enable Image Feed',
+			type: 'boolean',
+			defaultValue: false,
+			attrs: {
+				style: {
+					fontFamily: 'monospace',
+				},
+			},
+			async onChange(value) {
+				storage.set('image_feed', value)
+				activated = value
+			},
+		})
+	},
+	init: async () => {
+		if (!activated) {
+			return
+		}
+		const pythongossFeed = app.extensions.find(
+			(e) => e.name === 'pysssss.ImageFeed',
+		)
+		if (pythongossFeed) {
+			console.warn(
+				"[mtb] - Aborting the loading of mtb's imageFeed in favor of pysssss.ImageFeed",
+			)
+			activated = false // just in case other methods are added later on
+			return
+		}
+		// - HTML & CSS
+		//- lightbox
+		const lightboxContainer = document.createElement('div')
+		Object.assign(lightboxContainer.style, styles.lighbox)
 
-    const lightboxImage = document.createElement('img')
-    Object.assign(lightboxImage.style, {
-      maxHeight: '100%',
-      maxWidth: '100%',
-      borderRadius: '5px',
-    })
+		const lightboxImage = document.createElement('img')
+		Object.assign(lightboxImage.style, {
+			maxHeight: '100%',
+			maxWidth: '100%',
+			borderRadius: '5px',
+		})
 
-    // previous and next buttons
-    const lightboxPrevBtn = document.createElement('button')
-    const lightboxNextBtn = document.createElement('button')
+		// previous and next buttons
+		const lightboxPrevBtn = document.createElement('button')
+		const lightboxNextBtn = document.createElement('button')
 
-    lightboxPrevBtn.textContent = '❮'
-    lightboxNextBtn.textContent = '❯'
+		lightboxPrevBtn.textContent = '❮'
+		lightboxNextBtn.textContent = '❯'
 
-    Object.assign(lightboxPrevBtn.style, styles.lightboxBtn({ left: '0%' }))
-    Object.assign(lightboxNextBtn.style, styles.lightboxBtn({ right: '0%' }))
+		Object.assign(lightboxPrevBtn.style, styles.lightboxBtn({ left: '0%' }))
+		Object.assign(lightboxNextBtn.style, styles.lightboxBtn({ right: '0%' }))
 
-    // close button
-    const lightboxCloseBtn = document.createElement('button')
-    Object.assign(
-      lightboxCloseBtn.style,
-      styles.lightboxBtn({ right: '0', top: '0' }),
-    )
-    lightboxCloseBtn.textContent = '❌'
+		// close button
+		const lightboxCloseBtn = document.createElement('button')
+		Object.assign(
+			lightboxCloseBtn.style,
+			styles.lightboxBtn({ right: '0', top: '0' }),
+		)
+		lightboxCloseBtn.textContent = '❌'
 
-    const lightboxButtons = document.createElement('div')
-    Object.assign(lightboxButtons.style, {
-      position: 'absolute',
-      top: '0%',
-      right: '0%',
-      // transform: "translate(50%, -50%)",
-      height: '100%',
-      width: '100%',
-      background: 'none',
-      border: 'none',
-      color: '#fff',
-      fontSize: '30px',
-      cursor: 'pointer',
-      pointerEvents: 'none',
-    })
+		const lightboxButtons = document.createElement('div')
+		Object.assign(lightboxButtons.style, {
+			position: 'absolute',
+			top: '0%',
+			right: '0%',
+			// transform: "translate(50%, -50%)",
+			height: '100%',
+			width: '100%',
+			background: 'none',
+			border: 'none',
+			color: '#fff',
+			fontSize: '30px',
+			cursor: 'pointer',
+			pointerEvents: 'none',
+		})
 
-    lightboxButtons.append(lightboxPrevBtn, lightboxNextBtn, lightboxCloseBtn)
-    lightboxContainer.append(lightboxButtons, lightboxImage)
+		lightboxButtons.append(lightboxPrevBtn, lightboxNextBtn, lightboxCloseBtn)
+		lightboxContainer.append(lightboxButtons, lightboxImage)
 
-    //- image list
-    const imageListContainer = document.createElement('div')
-    Object.assign(imageListContainer.style, styles.img_list)
+		//- image list
+		const imageListContainer = document.createElement('div')
+		Object.assign(imageListContainer.style, styles.img_list)
 
-    const createImgListBtn = (text, style) => {
-      const btn = document.createElement('button')
-      btn.type = 'button'
-      btn.textContent = text
-      Object.assign(btn.style, {
-        ...style,
-        border: 'none',
-        color: '#fff',
-        background: 'none',
-        height: '20px',
-        cursor: 'pointer',
-        position: 'absolute',
-        top: '5px',
-        fontSize: '12px',
-        lineHeight: '12px',
-      })
-      imageListContainer.append(btn)
-      return btn
-    }
-    const showBtn = document.createElement('button')
-    const closeBtn = createImgListBtn('❌', {
-      width: '20px',
-      textIndent: '-4px',
-      right: '5px',
-    })
-    const loadButton = createImgListBtn('Load Session History', {
-      right: '90px',
-    })
-    const clearButton = createImgListBtn('Clear', {
-      right: '30px',
-    })
+		const createImgListBtn = (text, style) => {
+			const btn = document.createElement('button')
+			btn.type = 'button'
+			btn.textContent = text
+			Object.assign(btn.style, {
+				...style,
+				border: 'none',
+				color: '#fff',
+				background: 'none',
+				height: '20px',
+				cursor: 'pointer',
+				position: 'absolute',
+				top: '5px',
+				fontSize: '12px',
+				lineHeight: '12px',
+			})
+			imageListContainer.append(btn)
+			return btn
+		}
+		const showBtn = document.createElement('button')
+		const closeBtn = createImgListBtn('❌', {
+			width: '20px',
+			textIndent: '-4px',
+			right: '5px',
+		})
+		const loadButton = createImgListBtn('Load Session History', {
+			right: '90px',
+		})
+		const clearButton = createImgListBtn('Clear', {
+			right: '30px',
+		})
 
-    //- tools popup button
-    showBtn.classList.add('comfy-settings-btn')
-    Object.assign(showBtn.style, {
-      right: '16px',
-      cursor: 'pointer',
-      display: 'none',
-    })
+		//- tools popup button
+		showBtn.classList.add('comfy-settings-btn')
+		Object.assign(showBtn.style, {
+			right: '16px',
+			cursor: 'pointer',
+			display: 'none',
+		})
 
-    //- append to DOM
-    document.body.append(imageListContainer)
+		//- append to DOM
+		document.body.append(imageListContainer)
 
-    showBtn.textContent = '🖼'
-    showBtn.onclick = () => {
-      imageListContainer.style.display = 'block'
-      showBtn.style.display = 'none'
-    }
-    document.querySelector('.comfy-settings-btn').after(showBtn)
-    document.querySelector('.comfy-settings-btn').after(lightboxContainer)
+		showBtn.textContent = '🖼'
+		showBtn.onclick = () => {
+			imageListContainer.style.display = 'block'
+			showBtn.style.display = 'none'
+		}
+		document.querySelector('.comfy-settings-btn').after(showBtn)
+		document.querySelector('.comfy-settings-btn').after(lightboxContainer)
 
-    // for (const { output } of history) {
-    // 	if (output?.images) {
-    // 		for (const src of output.images) {
-    // 			const img = document.createElement("img");
-    // 			const but = document.createElement("button");
+		// for (const { output } of history) {
+		// 	if (output?.images) {
+		// 		for (const src of output.images) {
+		// 			const img = document.createElement("img");
+		// 			const but = document.createElement("button");
 
-    //- callbacks
-    closeBtn.onclick = () => {
-      imageListContainer.style.display = 'none'
-      showBtn.style.display = 'unset'
-    }
+		//- callbacks
+		closeBtn.onclick = () => {
+			imageListContainer.style.display = 'none'
+			showBtn.style.display = 'unset'
+		}
 
-    clearButton.onclick = () => {
-      imageListContainer.replaceChildren(closeBtn, clearButton, loadButton)
-    }
+		clearButton.onclick = () => {
+			imageListContainer.replaceChildren(closeBtn, clearButton, loadButton)
+		}
 
-    lightboxNextBtn.onclick = () => {
-      currentImageIndex = (currentImageIndex + 1) % imageUrls.length
-      const imageUrl = imageUrls[currentImageIndex]
-      lightboxImage.src = imageUrl
-    }
+		lightboxNextBtn.onclick = () => {
+			currentImageIndex = (currentImageIndex + 1) % imageUrls.length
+			const imageUrl = imageUrls[currentImageIndex]
+			lightboxImage.src = imageUrl
+		}
 
-    // Modify the lightboxPrevBtn onclick callback
-    lightboxPrevBtn.onclick = () => {
-      currentImageIndex =
-        (currentImageIndex - 1 + imageUrls.length) % imageUrls.length
-      const imageUrl = imageUrls[currentImageIndex]
-      lightboxImage.src = imageUrl
-    }
+		// Modify the lightboxPrevBtn onclick callback
+		lightboxPrevBtn.onclick = () => {
+			currentImageIndex =
+				(currentImageIndex - 1 + imageUrls.length) % imageUrls.length
+			const imageUrl = imageUrls[currentImageIndex]
+			lightboxImage.src = imageUrl
+		}
 
-    lightboxCloseBtn.onclick = () => {
-      lightboxContainer.style.display = 'none'
-    }
-    lightboxImage.onclick = lightboxNextBtn.onclick
-    /**
-     * This is the function that creates the image buttons for the image list
-     * They are wrapped in a button so that they can be clicked and open
-     * the image in the lightbox.
-     * @param {*} src
-     */
-    const createImageBtn = (src) => {
-      console.debug(`making image ${src.filename}`)
-      const img = document.createElement('img')
-      const but = document.createElement('button')
+		lightboxCloseBtn.onclick = () => {
+			lightboxContainer.style.display = 'none'
+		}
+		lightboxImage.onclick = lightboxNextBtn.onclick
+		/**
+		 * This is the function that creates the image buttons for the image list
+		 * They are wrapped in a button so that they can be clicked and open
+		 * the image in the lightbox.
+		 * @param {*} src
+		 */
+		const createImageBtn = (src) => {
+			console.debug(`making image ${src.filename}`)
+			const img = document.createElement('img')
+			const but = document.createElement('button')
 
-      Object.assign(but.style, {
-        height: '120px',
-        width: '120px',
-        border: 'none',
-        padding: 0,
-        margin: 0,
-      })
-      Object.assign(img.style, {
-        width: '100%',
-        height: '100%',
-        objectFit: 'cover',
-      })
+			Object.assign(but.style, {
+				height: '120px',
+				width: '120px',
+				border: 'none',
+				padding: 0,
+				margin: 0,
+			})
+			Object.assign(img.style, {
+				width: '100%',
+				height: '100%',
+				objectFit: 'cover',
+			})
 
-      img.src = `/view?filename=${encodeURIComponent(src.filename)}&type=${
-        src.type
-      }&subfolder=${encodeURIComponent(src.subfolder)}`
+			img.src = `/view?filename=${encodeURIComponent(src.filename)}&type=${
+				src.type
+			}&subfolder=${encodeURIComponent(src.subfolder)}`
 
-      imageUrls.push(img.src)
+			imageUrls.push(img.src)
 
-      console.debug(img.src)
+			console.debug(img.src)
 
-      img.onload = () => {
-        but.style.width = `${120 * (img.naturalWidth / img.naturalHeight)}px`
-      }
+			img.onload = () => {
+				but.style.width = `${120 * (img.naturalWidth / img.naturalHeight)}px`
+			}
 
-      but.onclick = () => {
-        lightboxContainer.style.display = 'flex'
-        // add the same image to the lightbox
-        lightboxImage.src = img.src
-        // lighboxContainer.replaceChildren(lightboxButtons, img);
-      }
+			but.onclick = () => {
+				lightboxContainer.style.display = 'flex'
+				// add the same image to the lightbox
+				lightboxImage.src = img.src
+				// lighboxContainer.replaceChildren(lightboxButtons, img);
+			}
 
-      // add right click menu
-      but.addEventListener('contextmenu', (e) => {
-        e.preventDefault()
+			// add right click menu
+			but.addEventListener('contextmenu', (e) => {
+				e.preventDefault()
 
-        if (image_menu) {
-          image_menu.remove()
-        }
+				if (image_menu) {
+					image_menu.remove()
+				}
 
-        image_menu = document.createElement('div')
-        Object.assign(image_menu.style, {
-          position: 'absolute',
-          top: `${e.clientY}px`,
-          left: `${e.clientX}px`,
-          background: '#333',
-          color: '#fff',
-          padding: '5px',
-          borderRadius: '5px',
-          zIndex: 999,
-        })
-        const load_img = document.createElement('button')
-        load_img.textContent = 'Load'
-        load_img.onclick = () => {
-          app.handleFile(img.src)
-        }
+				image_menu = document.createElement('div')
+				Object.assign(image_menu.style, {
+					position: 'absolute',
+					top: `${e.clientY}px`,
+					left: `${e.clientX}px`,
+					background: '#333',
+					color: '#fff',
+					padding: '5px',
+					borderRadius: '5px',
+					zIndex: 999,
+				})
+				const load_img = document.createElement('button')
+				load_img.textContent = 'Load'
+				load_img.onclick = () => {
+					app.handleFile(img.src)
+				}
 
-        image_menu.appendChild(load_img)
-        document.body.appendChild(image_menu)
-      })
+				image_menu.appendChild(load_img)
+				document.body.appendChild(image_menu)
+			})
 
-      but.append(img)
-      imageListContainer.prepend(but)
-    }
+			but.append(img)
+			imageListContainer.prepend(but)
+		}
 
-    loadButton.onclick = async () => {
-      const all_history = await api.getHistory()
-      for (const history of all_history.History) {
-        if (history.outputs) {
-          for (const key of Object.keys(history.outputs)) {
-            console.debug(key)
-            if (history.outputs[key].images) {
-              for (const im of history.outputs[key].images) {
-                console.debug(im)
-                createImageBtn(im)
-              }
-            }
-          }
-          // for (const src of outputs.outputs.images) {
-          // 	console.debug(src)
-          // 	makeImage(`${src.subfolder}/${src.filename}`)
-          // }
-        }
-      }
-    }
+		loadButton.onclick = async () => {
+			const all_history = await api.getHistory()
+			for (const history of all_history.History) {
+				if (history.outputs) {
+					for (const key of Object.keys(history.outputs)) {
+						console.debug(key)
+						if (history.outputs[key].images) {
+							for (const im of history.outputs[key].images) {
+								console.debug(im)
+								createImageBtn(im)
+							}
+						}
+					}
+					// for (const src of outputs.outputs.images) {
+					// 	console.debug(src)
+					// 	makeImage(`${src.subfolder}/${src.filename}`)
+					// }
+				}
+			}
+		}
 
-    ///////-------
+		///////-------
 
-    // const all_history = await api.getHistory()
-    // for (const history of all_history.History) {
-    // 	if (history.outputs) {
-    // 		for (const key of Object.keys(history.outputs)) {
-    // 			for (const im of history.outputs[key].images) {
-    // 				makeImage(im)
-    // 			}
-    // 		}
-    // 		// for (const src of outputs.outputs.images) {
-    // 		// 	console.debug(src)
-    // 		// 	makeImage(`${src.subfolder}/${src.filename}`)
-    // 		// }
-    // 	}
-    // }
+		// const all_history = await api.getHistory()
+		// for (const history of all_history.History) {
+		// 	if (history.outputs) {
+		// 		for (const key of Object.keys(history.outputs)) {
+		// 			for (const im of history.outputs[key].images) {
+		// 				makeImage(im)
+		// 			}
+		// 		}
+		// 		// for (const src of outputs.outputs.images) {
+		// 		// 	console.debug(src)
+		// 		// 	makeImage(`${src.subfolder}/${src.filename}`)
+		// 		// }
+		// 	}
+		// }
 
-    //- Hook into the API
-    api.addEventListener('executed', ({ detail }) => {
-      if (detail?.output?.images) {
-        for (const src of detail.output.images) {
-          console.debug(`Adding ${src} to image feed`)
-          createImageBtn(src)
-        }
-      }
-    })
-  },
+		//- Hook into the API
+		api.addEventListener('executed', ({ detail }) => {
+			if (detail?.output?.images) {
+				for (const src of detail.output.images) {
+					console.debug(`Adding ${src} to image feed`)
+					createImageBtn(src)
+				}
+			}
+		})
+	},
 })

web/mtb_input_output_sidebar.js

@@ -0,0 +1,256 @@
+import { app } from '../../scripts/app.js'
+import { api } from '../../scripts/api.js'
+
+// import * as shared from './comfy_shared.js'
+
+import {
+  // defineCSSClass,
+  ensureMTBStyles,
+  makeElement,
+  makeSelect,
+  makeSlider,
+  renderSidebar,
+} from './mtb_ui.js'
+
+const offset = 0
+let currentWidth = 200
+let currentMode = 'input'
+let currentSort = 'None'
+
+const IMAGE_NODES = ['LoadImage']
+
+const updateImage = (node, image) => {
+  if (IMAGE_NODES.includes(node.type)) {
+    const w = node.widgets?.find((w) => w.name === 'image')
+    if (w) {
+      w.value = image
+      w.callback()
+    }
+  }
+}
+
+const getImgsFromUrls = (urls, target) => {
+  const imgs = []
+  if (urls === undefined) {
+    return imgs
+  }
+
+  for (const [key, url] of Object.entries(urls)) {
+    const a = makeElement('img')
+    a.src = url
+    a.width = currentWidth
+    if (currentMode === 'input') {
+      a.onclick = (_e) => {
+        const selected = app.canvas.selected_nodes
+        if (selected && Object.keys(selected).length === 0) {
+          app.extensionManager.toast.add({
+            severity: 'warn',
+            summary: 'No LoadImage node selected!',
+            detail:
+              'For now the only action when clicking images in the sidebar is to set the image on all selected LoadImage nodes.',
+            life: 5000,
+          })
+          return
+        }
+
+        for (const [_id, node] of Object.entries(app.canvas.selected_nodes)) {
+          updateImage(node, `${key}.png`)
+        }
+      }
+    } else {
+      a.onclick = (_e) =>
+        // window.MTB?.notify?.("Output import isn't supported yet...", 5000)
+        app.extensionManager.toast.add({
+          severity: 'warn',
+          summary: 'Outputs not supported',
+          detail:
+            'For now only inputs can be clicked to load the image on the active LoadImage node.',
+          life: 5000,
+        })
+    }
+    imgs.push(a)
+  }
+  if (target !== undefined) {
+    target.append(...imgs)
+  }
+  return imgs
+}
+
+const getUrls = async () => {
+  const count = await api.getSetting('mtb.io-sidebar.count')
+  console.log('Sidebar count', count)
+  const inputs = await api.fetchApi('/mtb/actions', {
+    method: 'POST',
+    body: JSON.stringify({
+      name: 'getUserImages',
+      // mode, count, offset
+      args: [currentMode, count, offset, currentSort],
+    }),
+  })
+  const output = await inputs.json()
+  return output?.result || {}
+}
+
+//NOTE: do not load if using the old ui
+if (window?.__COMFYUI_FRONTEND_VERSION__) {
+  // NOTE: removed this for now since I'm not actually exposing anything a client
+  // cannot already access from "/view"...
+  // let exposed = false
+
+  const sidebar_extension = {
+    name: 'mtb.io-sidebar',
+    // init: async () => {
+    //   try {
+    //     const res = await api.fetchApi('/mtb/server-info')
+    //     const msg = await res.json()
+    //     exposed = msg.exposed
+    //   } catch (e) {
+    //     console.error('Error:', e)
+    //   }
+    // },
+    init: () => {
+      let handle
+      const version = window?.__COMFYUI_FRONTEND_VERSION__
+      console.log(`%c ${version}`, 'background: orange; color: white;')
+
+      ensureMTBStyles()
+
+      app.ui.settings.addSetting({
+        id: 'mtb.io-sidebar.count',
+        category: ['mtb', 'Input & Output Sidebar', 'count'],
+
+        name: 'Number of images to fetch',
+        type: 'number',
+        defaultValue: 1000,
+
+        tooltip:
+          "This setting affects the input/output sidebar to determine how many images to fetch per pagination (pagination is not yet supported so for now it's the static total)",
+        attrs: {
+          style: {
+            // fontFamily: 'monospace',
+          },
+        },
+      })
+
+      app.ui.settings.addSetting({
+        id: 'mtb.io-sidebar.img-size',
+        category: ['mtb', 'Input & Output Sidebar', 'img-size'],
+
+        name: 'Resolution of the images',
+        type: 'number',
+        defaultValue: 512,
+
+        tooltip: "It's recommended to keep it at 512px",
+        attrs: {
+          style: {
+            // fontFamily: 'monospace',
+          },
+        },
+      })
+      app.ui.settings.addSetting({
+        id: 'mtb.io-sidebar.sort',
+        category: ['mtb', 'Input & Output Sidebar', 'sort'],
+        name: 'Default sort mode',
+        type: 'combo',
+
+        onChange: (v) => {
+          // alert(`Sort is now ${v}`)
+          currentSort = v
+        },
+
+        defaultValue: 'Modified',
+        // tooltip: "It's recommended to keep it at 512px",
+        options: [
+          'None',
+          'Modified',
+          'Modified-Reverse',
+          'Name',
+          'Name-Reverse',
+        ],
+      })
+
+      app.extensionManager.registerSidebarTab({
+        id: 'mtb-inputs-outputs',
+        icon: 'pi pi-images',
+        title: 'Input & Outputs',
+        tooltip: 'MTB: Browse inputs and outputs directories.',
+        type: 'custom',
+
+        // this is run everytime the tab's diplay is toggled on.
+        render: async (el) => {
+          if (handle) {
+            handle.unregister()
+            handle = undefined
+          }
+
+          if (el.parentNode) {
+            el.parentNode.style.overflowY = 'clip'
+          }
+
+          const urls = await getUrls(currentMode)
+          let imgs = {}
+
+          const cont = makeElement('div.mtb_sidebar')
+
+          const imgGrid = makeElement('div.mtb_img_grid')
+          const selector = makeSelect(['input', 'output'], currentMode)
+
+          selector.addEventListener('change', async (e) => {
+            const newMode = e.target.value
+            const changed = newMode !== currentMode
+            currentMode = newMode
+            if (changed) {
+              imgGrid.innerHTML = ''
+              const urls = await getUrls()
+              if (urls) {
+                imgs = getImgsFromUrls(urls, imgGrid)
+              }
+            }
+          })
+
+          const imgTools = makeElement('div.mtb_tools')
+          const orderSelect = makeSelect(
+            ['None', 'Modified', 'Modified-Reverse', 'Name', 'Name-Reverse'],
+            currentSort,
+          )
+
+          orderSelect.addEventListener('change', async (e) => {
+            const newSort = e.target.value
+            const changed = newSort !== currentSort
+            currentSort = newSort
+            if (changed) {
+              imgGrid.innerHTML = ''
+              const urls = await getUrls()
+              if (urls) {
+                imgs = getImgsFromUrls(urls, imgGrid)
+              }
+            }
+          })
+
+          const sizeSlider = makeSlider(64, 1024, currentWidth, 1)
+          imgTools.appendChild(orderSelect)
+
+          imgTools.appendChild(sizeSlider)
+
+          imgs = getImgsFromUrls(urls, imgGrid)
+
+          sizeSlider.addEventListener('input', (e) => {
+            currentWidth = e.target.value
+            for (const img of imgs) {
+              img.style.width = `${e.target.value}px`
+            }
+          })
+          handle = renderSidebar(el, cont, [selector, imgGrid, imgTools])
+        },
+        destroy: () => {
+          if (handle) {
+            handle.unregister()
+            handle = undefined
+          }
+        },
+      })
+    },
+  }
+
+  app.registerExtension(sidebar_extension)
+}

web/mtb_sidebar.js

@@ -0,0 +1,28 @@
+// NOTE: this will be the LT part of mtb API system
+// I need to properly publish the source and fix a few things before
+
+// import { app } from '../../scripts/app.js'
+// // import { api } from '../../scripts/api.js'
+//
+// import * as shared from './comfy_shared.js'
+// import { createOutliner } from './dist/mtb_inspector.js'
+//
+// if (window?.__COMFYUI_FRONTEND_VERSION__) {
+//   const version = window?.__COMFYUI_FRONTEND_VERSION__
+//   console.log(`%c ${version}`, 'background: orange; color: white;')
+//
+//   const panel = app.extensionManager.registerSidebarTab({
+//     id: 'mtb-nodes',
+//     icon: 'pi pi-bolt',
+//     title: 'MTB',
+//     tooltip: 'MTB: API outliner',
+//     type: 'custom',
+//     // this is run everytime the tab's diplay is toggled on.
+//     render: (el) => {
+//       const outliner = createOutliner(el)
+//       const inputs = shared.getAPIInputs()
+//       console.log('INPUTS', inputs)
+//       outliner.$$set({ inputs })
+//     },
+//   })
+// }

web/mtb_ui.js

@@ -0,0 +1,504 @@
+/**
+ * Adds a named stylesheet to the document with an optional ability to replace an existing one.
+ *
+ * @param {string} name - The unique name (ID) of the stylesheet.
+ * @param {string} css - The CSS rules as a string.
+ * @param {boolean} [force=false] - Whether to replace the existing stylesheet if it exists.
+ * @returns {void}
+ */
+export function addNamedStyleSheet(name, css, force = false) {
+  const existingStyleSheet = document.getElementById(name)
+
+  if (existingStyleSheet && !force) {
+    console.debug(
+      `Stylesheet with name "${name}" already exists. Skipping addition.`,
+    )
+    return
+  }
+
+  if (existingStyleSheet && force) {
+    console.debug(`Stylesheet with name "${name}" exists. Replacing...`)
+    existingStyleSheet.remove()
+  }
+
+  const styleElement = document.createElement('style')
+  styleElement.id = name
+  styleElement.type = 'text/css'
+
+  styleElement.appendChild(document.createTextNode(css))
+  document.head.appendChild(styleElement)
+
+  console.debug(`Stylesheet with name "${name}" added.`)
+}
+
+export const ensureMTBStyles = () => {
+  const S = {
+    fg: 'var(--fg-color)',
+    bgi: 'var(--comfy-input-bg)',
+    bgm: 'var(--comfy-menu-bg)',
+    border: 'var(--comfy-border)',
+    borderHover: 'var(--comfy-border-hover)',
+    box: 'var(--comfy-box)',
+    accent: 'var(--p-button-text-primary-color)',
+  }
+  const common = `
+.mtb_sidebar {
+  display: flex;
+  flex-direction: column;
+  background: ${S.bgm};
+}
+.mtb_img_grid {
+  display: flex;
+  flex-wrap: wrap;
+  overflow: scroll;
+  gap: 1em;
+  align-items: center;
+  justify-content: center;
+  height: 100%;
+  width: 100%;
+}
+.mtb_tools {
+  display: flex;
+  flex-direction: row;
+  align-items: center;
+  justify-content: space-between;
+  width: 100%;
+}
+`
+  const inputs = `
+/* SELECT */
+.mtb_select {
+    appearance: none;
+  display: grid;
+  grid-template-areas: "select";
+  padding: 10px;
+  background-color: ${S.bgi};
+  border: none;
+  border-radius: 5px;
+  font-size: 14px;
+  color: ${S.fg};
+  cursor: pointer;
+  width: 100%;
+}
+
+@supports (-moz-appearance:none) {
+.mtb_select{
+  grid-area: select;
+  background: ${S.bgi} url('data:image/gif;base64,R0lGODlhBgAGAKEDAFVVVX9/f9TU1CgmNyH5BAEKAAMALAAAAAAGAAYAAAIODA4hCDKWxlhNvmCnGwUAOw==') right center no-repeat !important;
+  background-position: calc(100% - 5px) center !important;
+  -moz-appearance:none !important;
+}
+
+/* styling the dropdown arrow for browsers that support it */
+.mtb_select:after {
+  content: "";
+  width: 0.8em;
+  height: 0.5em;
+  background-color: ${S.fg};
+  clip-path: polygon(100% 0%, 0 0%, 50% 100%);
+}
+
+.mtb_select:focus {
+  outline: none;
+  border-color: #0056b3;
+}
+
+.mtb_select > option {
+  padding: 10px;
+  background-color: ${S.bgi};
+  border:none;
+  color: ${S.fg};
+}
+
+.mtb_select > option:hover {
+  background-color: red;
+  color: ${S.fg};
+}
+
+/* SLIDER */
+.mtb_slider[type="range"] {
+  -webkit-appearance: none;
+  appearance: none;
+  width: 100%;
+  height: 10px;
+  background: ${S.bgm};
+  border-radius: 5px;
+  outline: none;
+  opacity: 0.7;
+  transition: opacity .2s;
+  padding: 1em;
+}
+
+/* slider track */
+.mtb_slider[type="range"]::-webkit-slider-runnable-track,
+.mtb_slider[type="range"]::-moz-range-track {
+  width: 100%;
+  height: 10px;
+  background: ${S.bgi};
+  border-radius: 5px;
+}
+
+
+/* progress */
+.mtb_slider[type="range"]::-moz-range-progress {
+  background-color: ${S.accent};
+  height:10px;
+  border-radius: 5px;
+}
+
+/* slider thumb (the handle) */
+.mtb_slider[type="range"]::-webkit-slider-thumb,
+.mtb_slider[type="range"]::-moz-range-thumb
+{
+  -webkit-appearance: none;
+  appearance: none;
+  width: 15px;
+  height: 15px;
+  border-radius: 50%;
+  background: ${S.fg};
+  border: none;
+  cursor: pointer;
+  filter: drop-shadow(1px 1px 4px black);
+}
+
+.mtb_slider[type="range"]:focus {
+  opacity: 1;
+}
+
+.mtb_slider[type=range]:-moz-focusring{
+    outline: 1px solid red;
+    outline-offset: -1px;
+}
+
+.mtb_slider[type="range"]:hover::-webkit-slider-thumb,
+.mtb_slider[type="range"]:active::-webkit-slider-thumb {
+  background-color: ${S.accent};
+}
+`
+  addNamedStyleSheet(
+    'mtb_ui',
+    `
+${common}
+${inputs}
+`,
+  )
+}
+
+/**
+ * Creates a DOM element with optional styles, class, and id.
+ *
+ * @param {string} kind - The tag name of the element. Supports class and id syntax (e.g. 'div.class#id').
+ * @param {Object} [style] - CSS styles to apply to the element.
+ * @returns {HTMLElement} - The created DOM element.
+ */
+export const makeElement = (kind, style) => {
+  let [real_kind, className] = kind.split('.')
+  let id
+
+  if (className?.includes('#')) {
+    ;[className, id] = className.split('#')
+  }
+
+  const el = document.createElement(real_kind)
+
+  if (style) {
+    Object.assign(el.style, style)
+  }
+
+  if (className) {
+    el.classList.add(...className.split(' ')) // Support multiple classes
+  }
+
+  if (id) {
+    el.id = id
+  }
+
+  return el
+}
+/**
+ * Clears all child elements of the given parent element.
+ *
+ * @param {HTMLElement} el - The parent element whose children should be removed.
+ */
+export const clearElement = (el) => {
+  while (el.firstChild) {
+    el.removeChild(el.firstChild)
+  }
+}
+/**
+ * Creates a labeled element (input, select, etc.).
+ *
+ * @param {HTMLElement} el - The element to label.
+ * @param {string} labelText - The label text.
+ * @returns {HTMLDivElement} - A div containing the label and the element.
+ */
+export const makeLabeledElement = (el, labelText) => {
+  const wrapper = makeElement('div.mtb_labeled_element', {
+    marginBottom: '1em',
+  })
+  const label = makeElement('label', {
+    display: 'block',
+    marginBottom: '0.5em',
+  })
+  label.textContent = labelText
+  wrapper.appendChild(label)
+  wrapper.appendChild(el)
+  return wrapper
+}
+
+/**
+ * Converts a camelCase CSS property to kebab-case.
+ *
+ * @param {string} prop - The camelCase CSS property.
+ * @returns {string} - The kebab-case CSS property.
+ */
+const camelToKebab = (prop) =>
+  prop.replace(/[A-Z]/g, (match) => `-${match.toLowerCase()}`)
+
+/**
+ * Parses the style string into an object of CSS property-value pairs.
+ *
+ * @param {string} styleString - The CSS rule text (e.g., "color: red; background-color: blue;").
+ * @returns {Object} - An object with camelCase CSS properties.
+ */
+const parseStyleString = (styleString) => {
+  const styleObj = {}
+  for (const rule of styleString.split(';')) {
+    const [property, value] = rule.split(':').map((item) => item.trim())
+    if (property && value) {
+      const camelProp = property.replace(/-([a-z])/g, (g) => g[1].toUpperCase())
+      styleObj[camelProp] = value
+    }
+  }
+  return styleObj
+}
+
+/**
+ * Defines a new CSS class with the provided styles, or skips if the class already exists.
+ *
+ * @param {string} className - The name of the CSS class to define.
+ * @param {Object} classStyles - An object containing camelCase CSS property-value pairs.
+ */
+export function defineCSSClass(className, classStyles) {
+  const styleSheets = document.styleSheets
+  let classExists = false
+  let existingStyleString = ''
+  const classExistsInStyleSheet = (styleSheet) => {
+    const rules = styleSheet.rules || styleSheet.cssRules
+    for (const rule of rules) {
+      if (rule.selectorText === `.${className}`) {
+        classExists = true
+        existingStyleString = rule.style.cssText // Capture existing styles
+        return true
+      }
+    }
+    return false
+  }
+
+  for (const styleSheet of styleSheets) {
+    if (classExistsInStyleSheet(styleSheet)) {
+      console.debug(`Class ${className} already exists, merging styles...`)
+      break
+    }
+  }
+  const existingStyles = classExists
+    ? parseStyleString(existingStyleString)
+    : {}
+  const mergedStyles = { ...existingStyles, ...classStyles }
+
+  const stylesString = Object.entries(mergedStyles)
+    .map(([key, value]) => `${camelToKebab(key)}: ${value};`)
+    .join(' ')
+
+  if (!classExists) {
+    console.debug(`Defining new class ${className}...`)
+    if (styleSheets[0].insertRule) {
+      styleSheets[0].insertRule(`.${className} { ${stylesString} }`, 0)
+    } else if (styleSheets[0].addRule) {
+      styleSheets[0].addRule(`.${className}`, stylesString, 0)
+    }
+  } else {
+    console.debug(`Updating existing class ${className} with merged styles...`)
+    for (const styleSheet of styleSheets) {
+      const rules = styleSheet.rules || styleSheet.cssRules
+      for (const rule of rules) {
+        if (rule.selectorText === `.${className}`) {
+          rule.style.cssText = stylesString // Update the existing rule
+        }
+      }
+    }
+  }
+
+  console.debug(
+    `Class ${className} has been defined/updated with styles:`,
+    mergedStyles,
+  )
+}
+
+/**
+ * Renders a sidebar and ensures it resizes correctly when the window is resized.
+ *
+ * @param {HTMLElement} el - The element where the sidebar is rendered.
+ * @param {HTMLElement} cont - The content container of the sidebar.
+ * @param {HTMLElement[]} elems - Array of elements to append to the sidebar.
+ * @returns {Object} - A handle with a method to unregister the resize event.
+ */
+export const renderSidebar = (el, cont, elems) => {
+  el.appendChild(cont)
+
+  if (!el.parentNode) {
+    return
+  }
+  el.parentNode.style.overflowY = 'clip'
+  cont.style.height = `${el.parentNode.offsetHeight}px`
+
+  const resizeHandler = () => {
+    cont.style.height = `${el.parentNode.offsetHeight}px`
+  }
+  window.addEventListener('resize', resizeHandler)
+
+  for (const elem of elems) {
+    cont.appendChild(elem)
+  }
+
+  return {
+    unregister: () => {
+      window.removeEventListener('resize', resizeHandler)
+    },
+  }
+}
+
+/**
+ * Creates a <select> dropdown with given options.
+ *
+ * @param {string[]} options - The options for the select element.
+ * @param {string} [current] - The currently selected option (optional).
+ * @returns {HTMLSelectElement} - The created <select> element.
+ */
+export const makeSelect = (options, current = undefined) => {
+  const selector = makeElement('select.mtb_select', {
+    width: 'auto',
+    margin: '1em',
+  })
+
+  for (const option of options) {
+    const opt = makeElement('option')
+    opt.value = option
+    opt.innerHTML = option
+    selector.appendChild(opt)
+  }
+
+  if (current !== undefined) {
+    if (options.includes(current)) {
+      selector.value = current
+    } else {
+      console.error(
+        `You tried to select an option that doesn't exist (${current}). Options: ${options}`,
+      )
+    }
+  }
+
+  return selector
+}
+
+/**
+ * Creates an <input type="range"> slider element with given parameters.
+ *
+ * @param {number} min - Minimum value of the slider.
+ * @param {number} max - Maximum value of the slider.
+ * @param {number} [value] - Initial value of the slider.
+ * @param {number} [step] - Step value for the slider.
+ * @returns {HTMLInputElement} - The created slider element.
+ */
+export const makeSlider = (min, max, value = undefined, step = undefined) => {
+  const slider = makeElement('input.mtb_slider', {
+    width: '100%',
+  })
+
+  slider.type = 'range'
+  slider.min = min || 0
+  slider.max = max || 100
+  slider.value = value || slider.min
+  slider.step = step || 1
+
+  return slider
+}
+
+/**
+ * Creates a button element.
+ *
+ * @param {string} label - The label for the button.
+ * @param {Object} [style] - Optional styles to apply to the button.
+ * @param {Function} [onClick] - Optional click handler.
+ * @returns {HTMLButtonElement} - The created button element.
+ */
+export const makeButton = (label, style = {}, onClick = undefined) => {
+  const button = makeElement('button.mtb_button', style)
+  button.textContent = label
+
+  if (onClick) {
+    button.addEventListener('click', onClick)
+  }
+
+  return button
+}
+
+/**
+ * Creates a resizable splitter between two elements.
+ *
+ * @param {HTMLElement} el1 - The first element.
+ * @param {HTMLElement} el2 - The second element.
+ * @param {'vertical' | 'horizontal'} direction - Splitter direction (vertical or horizontal).
+ * @param {'absolute' | 'normal'} mode - Splitter mode: 'absolute' for free resizing, 'normal' for layout-based resizing.
+ * @returns {HTMLDivElement} - The container with resizable splitter.
+ */
+export const makeSplitter = (
+  el1,
+  el2,
+  direction = 'vertical',
+  mode = 'normal',
+) => {
+  const container = makeElement('div.mtb_splitter_container', {
+    display: mode === 'absolute' ? 'block' : 'flex',
+    flexDirection: direction === 'vertical' ? 'row' : 'column',
+    position: mode === 'absolute' ? 'relative' : 'static',
+    height: '100%',
+    width: '100%',
+  })
+
+  const handle = makeElement('div.mtb_splitter_handle', {
+    backgroundColor: '#ccc',
+    cursor: direction === 'vertical' ? 'col-resize' : 'row-resize',
+    width: direction === 'vertical' ? '5px' : '100%',
+    height: direction === 'horizontal' ? '5px' : '100%',
+  })
+
+  let isResizing = false
+
+  handle.addEventListener('mousedown', () => {
+    isResizing = true
+  })
+
+  window.addEventListener('mouseup', () => {
+    isResizing = false
+  })
+
+  window.addEventListener('mousemove', (e) => {
+    if (!isResizing) return
+    if (direction === 'vertical') {
+      const newWidth = e.clientX - container.offsetLeft
+      el1.style.width = `${newWidth}px`
+      el2.style.width = `${container.offsetWidth - newWidth}px`
+    } else {
+      const newHeight = e.clientY - container.offsetTop
+      el1.style.height = `${newHeight}px`
+      el2.style.height = `${container.offsetHeight - newHeight}px`
+    }
+  })
+
+  container.appendChild(el1)
+  container.appendChild(handle)
+  container.appendChild(el2)
+
+  return container
+}