Merge branch 'main' into nickkao/gpu_event

This reverts commit 5a78ca97bd.

comfy-nodes/external_boolean.py

@@ -8,6 +8,16 @@ class ComfyUIDeployExternalBoolean:
                     {"multiline": False, "default": "input_bool"},
                 ),
                 "default_value": ("BOOLEAN", {"default": False})
+            },
+            "optional": {
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -16,7 +26,7 @@ class ComfyUIDeployExternalBoolean:
     
     FUNCTION = "run"
     
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         print(f"Node '{input_id}' processing with switch set to {default_value}")
         return [default_value]
     

comfy-nodes/external_checkpoints.py

@@ -23,6 +23,14 @@ class ComfyUIDeployExternalCheckpoint:
             },
             "optional": {
                 "default_value": (folder_paths.get_filename_list("checkpoints"), ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -33,7 +41,7 @@ class ComfyUIDeployExternalCheckpoint:
 
     CATEGORY = "deploy"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         import requests
         import os
         import uuid

comfy-nodes/external_face_model.py

@@ -0,0 +1,108 @@
+from PIL import Image, ImageOps
+import numpy as np
+import torch
+import folder_paths
+
+
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+WILDCARD = AnyType("*")
+
+
+class ComfyUIDeployExternalFaceModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_id": (
+                    "STRING",
+                    {"multiline": False, "default": "input_reactor_face_model"},
+                ),
+            },
+            "optional": {
+                "default_face_model_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "face_model_save_name": (  # if `default_face_model_name` is a link to download a file, we will attempt to save it with this name
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+                "face_model_url": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+            },
+        }
+
+    RETURN_TYPES = (WILDCARD,)
+    RETURN_NAMES = ("path",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "deploy"
+
+    def run(
+        self,
+        input_id,
+        default_face_model_name=None,
+        face_model_save_name=None,
+        display_name=None,
+        description=None,
+        face_model_url=None,
+    ):
+        import requests
+        import os
+        import uuid
+
+        if face_model_url and face_model_url.startswith("http"):
+            if face_model_save_name:
+                existing_face_models = folder_paths.get_filename_list("reactor/faces")
+                # Check if face_model_save_name exists in the list
+                if face_model_save_name in existing_face_models:
+                    print(f"using face model: {face_model_save_name}")
+                    return (face_model_save_name,)
+            else:
+                face_model_save_name = str(uuid.uuid4()) + ".safetensors"
+            print(face_model_save_name)
+            print(folder_paths.folder_names_and_paths["reactor/faces"][0][0])
+            destination_path = os.path.join(
+                folder_paths.folder_names_and_paths["reactor/faces"][0][0],
+                face_model_save_name,
+            )
+
+            print(destination_path)
+            print(
+                "Downloading external face model - "
+                + face_model_url
+                + " to "
+                + destination_path
+            )
+            response = requests.get(
+                face_model_url,
+                headers={"User-Agent": "Mozilla/5.0"},
+                allow_redirects=True,
+            )
+            with open(destination_path, "wb") as out_file:
+                out_file.write(response.content)
+            return (face_model_save_name,)
+        else:
+            print(f"using face model: {default_face_model_name}")
+            return (default_face_model_name,)
+
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalFaceModel": ComfyUIDeployExternalFaceModel}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ComfyUIDeployExternalFaceModel": "External Face Model (ComfyUI Deploy)"
+}

comfy-nodes/external_image.py

@@ -15,6 +15,14 @@ class ComfyUIDeployExternalImage:
             },
             "optional": {
                 "default_value": ("IMAGE",),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -25,7 +33,7 @@ class ComfyUIDeployExternalImage:
 
     CATEGORY = "image"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         image = default_value
         try:
             if input_id.startswith('http'):

comfy-nodes/external_image_alpha.py

@@ -15,6 +15,14 @@ class ComfyUIDeployExternalImageAlpha:
             },
             "optional": {
                 "default_value": ("IMAGE",),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -25,7 +33,7 @@ class ComfyUIDeployExternalImageAlpha:
 
     CATEGORY = "image"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         image = default_value
         try:
             if input_id.startswith('http'):

comfy-nodes/external_image_batch.py

@@ -21,6 +21,14 @@ class ComfyUIDeployExternalImageBatch:
             },
             "optional": {
                 "default_value": ("IMAGE",),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -31,14 +39,34 @@ class ComfyUIDeployExternalImageBatch:
 
     CATEGORY = "image"
     
-    def run(self, input_id, images=None, default_value=None):
+    def process_image(self, image):
+        image = ImageOps.exif_transpose(image)
+        image = image.convert("RGB")
+        image = np.array(image).astype(np.float32) / 255.0
+        image_tensor = torch.from_numpy(image)[None,]
+        return image_tensor
+    
+    def run(self, input_id, images=None, default_value=None, display_name=None, description=None):
+        import requests
+        import zipfile
+        import io
+        
         processed_images = []
         try:
             images_list = json.loads(images)  # Assuming images is a JSON array string
             print(images_list)
             for img_input in images_list:
-                if img_input.startswith('http'):
+                if img_input.startswith('http') and img_input.endswith('.zip'):
-                    import requests
+                    print("Fetching zip file from url: ", img_input)
+                    response = requests.get(img_input)
+                    zip_file = zipfile.ZipFile(io.BytesIO(response.content))
+                    for file_name in zip_file.namelist():
+                        if file_name.lower().endswith(('.png', '.jpg', '.jpeg')):
+                            with zip_file.open(file_name) as file:
+                                image = Image.open(file)
+                                image = self.process_image(image)
+                                processed_images.append(image)
+                elif  img_input.startswith('http'):
                     from io import BytesIO
                     print("Fetching image from url: ", img_input)
                     response = requests.get(img_input)

comfy-nodes/external_lora.py

@@ -29,6 +29,18 @@ class ComfyUIDeployExternalLora:
                     "STRING",
                     {"multiline": False, "default": ""},
                 ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+                "lora_url": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
             },
         }
 
@@ -39,12 +51,20 @@ class ComfyUIDeployExternalLora:
 
     CATEGORY = "deploy"
 
-    def run(self, input_id, default_lora_name=None, lora_save_name=None):
+    def run(
+        self,
+        input_id,
+        default_lora_name=None,
+        lora_save_name=None,
+        display_name=None,
+        description=None,
+        lora_url=None,
+    ):
         import requests
         import os
         import uuid
 
-        if default_lora_name.startswith("http"):
+        if lora_url and lora_url.startswith("http"):
             if lora_save_name:
                 existing_loras = folder_paths.get_filename_list("loras")
                 # Check if lora_save_name exists in the list
@@ -59,9 +79,9 @@ class ComfyUIDeployExternalLora:
                 folder_paths.folder_names_and_paths["loras"][0][0], lora_save_name
             )
             print(destination_path)
-            print("Downloading external lora - " + input_id + " to " + destination_path)
+            print("Downloading external lora - " + lora_url + " to " + destination_path)
             response = requests.get(
-                input_id,
+                lora_url,
                 headers={"User-Agent": "Mozilla/5.0"},
                 allow_redirects=True,
             )

comfy-nodes/external_number.py

@@ -16,7 +16,15 @@ class ComfyUIDeployExternalNumber:
             "optional": {
                 "default_value": (
                     "FLOAT",
-                    {"multiline": True, "display": "number", "default": 0, "step": 0.01},
+                    {"multiline": True, "display": "number", "default": 0, "min": -2147483647, "max": 2147483647, "step": 0.01},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
                 ),
             }
         }
@@ -28,7 +36,7 @@ class ComfyUIDeployExternalNumber:
 
     CATEGORY = "number"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         try:
             float_value = float(input_id)
             print("my number", float_value)

comfy-nodes/external_number_int.py

@@ -16,7 +16,15 @@ class ComfyUIDeployExternalNumberInt:
             "optional": {
                 "default_value": (
                     "INT",
-                    {"multiline": True, "display": "number", "default": 0},
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 0},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
                 ),
             }
         }
@@ -28,7 +36,7 @@ class ComfyUIDeployExternalNumberInt:
 
     CATEGORY = "number"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         if not input_id or (isinstance(input_id, str) and not input_id.strip().isdigit()):
             return [default_value]
         return [int(input_id)]

comfy-nodes/external_number_slider.py

@@ -11,15 +11,23 @@ class ComfyUIDeployExternalNumberSlider:
             "optional": {
                 "default_value": (
                     "FLOAT",
-                    {"multiline": True, "display": "number", "default": 0.5, "step": 0.01},
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 0.5, "step": 0.01},
                 ),
                 "min_value": (
                     "FLOAT",
-                    {"multiline": True, "display": "number", "default": 0, "step": 0.01},
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 0, "step": 0.01},
                 ),
                 "max_value": (
                     "FLOAT",
-                    {"multiline": True, "display": "number", "default": 1, "step": 0.01},
+                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 1, "step": 0.01},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
                 ),
             }
         }
@@ -31,7 +39,7 @@ class ComfyUIDeployExternalNumberSlider:
 
     CATEGORY = "number"
 
-    def run(self, input_id, default_value=None, min_value=0, max_value=1):
+    def run(self, input_id, default_value=None, min_value=0, max_value=1, display_name=None, description=None):
         try:
             float_value = float(input_id)
             if min_value <= float_value <= max_value:

comfy-nodes/external_text.py

@@ -18,6 +18,14 @@ class ComfyUIDeployExternalText:
                     "STRING",
                     {"multiline": True, "default": ""},
                 ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
             }
         }
 
@@ -28,7 +36,7 @@ class ComfyUIDeployExternalText:
 
     CATEGORY = "text"
 
-    def run(self, input_id, default_value=None):
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         return [default_value]
 
 

comfy-nodes/external_text_any.py

@@ -0,0 +1,46 @@
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+WILDCARD = AnyType("*")
+
+class ComfyUIDeployExternalTextAny:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_id": (
+                    "STRING",
+                    {"multiline": False, "default": "input_text"},
+                ),
+            },
+            "optional": {
+                "default_value": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+            }
+        }
+
+    RETURN_TYPES = (WILDCARD,)
+    RETURN_NAMES = ("text",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "text"
+
+    def run(self, input_id, default_value=None, display_name=None, description=None):
+        return [default_value]
+
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalTextAny": ComfyUIDeployExternalTextAny}
+NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalTextAny": "External Text Any (ComfyUI Deploy)"}

comfy-nodes/external_text_list.py

@@ -1,43 +0,0 @@
-import folder_paths
-from PIL import Image, ImageOps
-import numpy as np
-import torch
-import json
-
-class ComfyUIDeployExternalTextList:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": 'input_text_list'},
-                ),
-                 "text": (
-                    "STRING",
-                    {"multiline": True, "default": "[]"},
-                ),
-            }
-        }
-
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("text",)
-
-    OUTPUT_IS_LIST = (True,)
-
-    FUNCTION = "run"
-
-    CATEGORY = "text"
-
-    def run(self, input_id, text=None):
-        text_list = []
-        try:
-            text_list = json.loads(text)  # Assuming text is a JSON array string
-        except Exception as e:
-            print(f"Error processing images: {e}")
-            pass
-        return [text_list]
-
-
-NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalTextList": ComfyUIDeployExternalTextList}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalTextList": "External Text List (ComfyUI Deploy)"}

comfy-nodes/external_video.py

@@ -764,7 +764,15 @@ class ComfyUIDeployExternalVideo:
                 "optional": {
                     "meta_batch": ("VHS_BatchManager",),
                     "vae": ("VAE",),
-                    "default_value": (sorted(files),),
+                    "default_video": (sorted(files),),
+                    "display_name": (
+                        "STRING",
+                        {"multiline": False, "default": ""},
+                    ),
+                    "description": (
+                        "STRING",
+                        {"multiline": True, "default": ""},
+                    ),
                 },
                 "hidden": {
                     "unique_id": "UNIQUE_ID"
@@ -796,8 +804,6 @@ class ComfyUIDeployExternalVideo:
         meta_batch = kwargs.get("meta_batch")
         unique_id = kwargs.get("unique_id")
 
-        video = kwargs.get("default_value")
-        video_path = folder_paths.get_annotated_filepath(video.strip('"'))
 
         input_dir = folder_paths.get_input_directory()
         if input_id.startswith("http"):
@@ -827,8 +833,11 @@ class ComfyUIDeployExternalVideo:
                     leave=True,
                 ):
                     out_file.write(chunk)
-
+        else:
-        print("video path: ", video_path)
+            video = kwargs.get("default_video", None)
+            if video is None:
+                raise "No default video given and no external video provided"
+            video_path = folder_paths.get_annotated_filepath(video.strip('"'))
 
         return load_video_cv(
             video=video_path,

comfy-nodes/model_list.py

@@ -0,0 +1,60 @@
+import folder_paths
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+from os import walk
+
+WILDCARD = AnyType("*")
+
+MODEL_EXTENSIONS = {
+    "safetensors": "SafeTensors file format",
+    "ckpt": "Checkpoint file",
+    "pth": "PyTorch serialized file",
+    "pkl": "Pickle file",
+    "onnx": "ONNX file",
+}
+
+def fetch_files(path):
+    for (dirpath, dirnames, filenames) in walk(path):
+        fs = []
+        if len(dirnames) > 0:
+            for dirname in dirnames:
+                fs.extend(fetch_files(f"{dirpath}/{dirname}"))
+        for filename in filenames:
+            # Remove "./models/" from the beginning of dirpath
+            relative_dirpath = dirpath.replace("./models/", "", 1)
+            file_path = f"{relative_dirpath}/{filename}"
+            
+            # Only add files that are known model extensions
+            file_extension = filename.split('.')[-1].lower()
+            if file_extension in MODEL_EXTENSIONS:
+                fs.append(file_path)
+
+        return fs
+allModels = fetch_files("./models")
+
+class ComfyUIDeployModalList:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": (allModels, ),
+            }
+        }
+
+    RETURN_TYPES = (WILDCARD,)
+    RETURN_NAMES = ("model",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "model"
+
+    def run(self, model=""):
+        # Split the model path by '/' and select the last item
+        model_name = model.split('/')[-1]
+        return [model_name]
+
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployModelList": ComfyUIDeployModalList}
+NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployModelList": "Model List (ComfyUI Deploy)"}

globals.py

@@ -6,10 +6,12 @@ from PIL import Image, ImageOps
 from io import BytesIO
 from pydantic import BaseModel as PydanticBaseModel
 
+
 class BaseModel(PydanticBaseModel):
     class Config:
         arbitrary_types_allowed = True
 
+
 class Status(Enum):
     NOT_STARTED = "not-started"
     RUNNING = "running"
@@ -17,6 +19,7 @@ class Status(Enum):
     FAILED = "failed"
     UPLOADING = "uploading"
 
+
 class StreamingPrompt(BaseModel):
     workflow_api: Any
     auth_token: str
@@ -24,42 +27,52 @@ class StreamingPrompt(BaseModel):
     running_prompt_ids: set[str] = set()
     status_endpoint: Optional[str]
     file_upload_endpoint: Optional[str]
+    workflow: Any
+    gpu_event_id: Optional[str] = None
+
 
 class SimplePrompt(BaseModel):
     status_endpoint: Optional[str]
     file_upload_endpoint: Optional[str]
 
+    token: Optional[str]
+
     workflow_api: dict
     status: Status = Status.NOT_STARTED
     progress: set = set()
-    last_updated_node: Optional[str] = None,
+    last_updated_node: Optional[str] = None
     uploading_nodes: set = set()
     done: bool = False
-    is_realtime: bool = False,
+    is_realtime: bool = False
-    start_time: Optional[float] = None,
+    start_time: Optional[float] = None
+    gpu_event_id: Optional[str] = None
+
 
 sockets = dict()
 prompt_metadata: dict[str, SimplePrompt] = {}
 streaming_prompt_metadata: dict[str, StreamingPrompt] = {}
 
+
 class BinaryEventTypes:
     PREVIEW_IMAGE = 1
     UNENCODED_PREVIEW_IMAGE = 2
 
+
 max_output_id_length = 24
 
-async def send_image(image_data, sid=None, output_id:str = None):
+
+async def send_image(image_data, sid=None, output_id: str = None):
     max_length = max_output_id_length
     output_id = output_id[:max_length]
-    padded_output_id = output_id.ljust(max_length, '\x00')
+    padded_output_id = output_id.ljust(max_length, "\x00")
-    encoded_output_id = padded_output_id.encode('ascii', 'replace')
+    encoded_output_id = padded_output_id.encode("ascii", "replace")
 
     image_type = image_data[0]
     image = image_data[1]
     max_size = image_data[2]
     quality = image_data[3]
     if max_size is not None:
-        if hasattr(Image, 'Resampling'):
+        if hasattr(Image, "Resampling"):
             resampling = Image.Resampling.BILINEAR
         else:
             resampling = Image.ANTIALIAS
@@ -88,12 +101,18 @@ async def send_image(image_data, sid=None, output_id:str = None):
     preview_bytes = bytesIO.getvalue()
     await send_bytes(BinaryEventTypes.PREVIEW_IMAGE, preview_bytes, sid=sid)
 
+
 async def send_socket_catch_exception(function, message):
     try:
         await function(message)
-    except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError) as err:
+    except (
+        aiohttp.ClientError,
+        aiohttp.ClientPayloadError,
+        ConnectionResetError,
+    ) as err:
         print("send error:", err)
 
+
 def encode_bytes(event, data):
     if not isinstance(event, int):
         raise RuntimeError(f"Binary event types must be integers, got {event}")
@@ -103,6 +122,7 @@ def encode_bytes(event, data):
     message.extend(data)
     return message
 
+
 async def send_bytes(event, data, sid=None):
     message = encode_bytes(event, data)
 

requirements.txt

@@ -2,4 +2,5 @@ aiofiles
 pydantic
 opencv-python
 imageio-ffmpeg
+brotli
 # logfire

web-plugin/index.js

@@ -2,6 +2,7 @@ import { app } from "./app.js";
 import { api } from "./api.js";
 import { ComfyWidgets, LGraphNode } from "./widgets.js";
 import { generateDependencyGraph } from "https://esm.sh/[email protected]";
+import { ComfyDeploy } from "https://esm.sh/[email protected]";
 
 const loadingIcon = `<svg xmlns="http://www.w3.org/2000/svg" width="32" height="32" viewBox="0 0 24 24"><g fill="none" stroke="#888888" stroke-linecap="round" stroke-width="2"><path stroke-dasharray="60" stroke-dashoffset="60" stroke-opacity=".3" d="M12 3C16.9706 3 21 7.02944 21 12C21 16.9706 16.9706 21 12 21C7.02944 21 3 16.9706 3 12C3 7.02944 7.02944 3 12 3Z"><animate fill="freeze" attributeName="stroke-dashoffset" dur="1.3s" values="60;0"/></path><path stroke-dasharray="15" stroke-dashoffset="15" d="M12 3C16.9706 3 21 7.02944 21 12"><animate fill="freeze" attributeName="stroke-dashoffset" dur="0.3s" values="15;0"/><animateTransform attributeName="transform" dur="1.5s" repeatCount="indefinite" type="rotate" values="0 12 12;360 12 12"/></path></g></svg>`;
 
@@ -24,10 +25,7 @@ function dispatchAPIEventData(data) {
       message += "\n" + nodeError.class_type + ":";
       for (const errorReason of nodeError.errors) {
         message +=
-                    "\n    - " +
+          "\n    - " + errorReason.message + ": " + errorReason.details;
-                    errorReason.message +
-                    ": " +
-                    errorReason.details;
       }
     }
 
@@ -47,38 +45,32 @@ function dispatchAPIEventData(data) {
         // window.name = this.clientId; // use window name so it isnt reused when duplicating tabs
         // sessionStorage.setItem("clientId", this.clientId); // store in session storage so duplicate tab can load correct workflow
       }
-            api.dispatchEvent(
+      api.dispatchEvent(new CustomEvent("status", { detail: msg.data.status }));
-                new CustomEvent("status", { detail: msg.data.status })
-            );
       break;
     case "progress":
-            api.dispatchEvent(
+      api.dispatchEvent(new CustomEvent("progress", { detail: msg.data }));
-                new CustomEvent("progress", { detail: msg.data })
-            );
       break;
     case "executing":
       api.dispatchEvent(
-                new CustomEvent("executing", { detail: msg.data.node })
+        new CustomEvent("executing", { detail: msg.data.node }),
       );
       break;
     case "executed":
-            api.dispatchEvent(
+      api.dispatchEvent(new CustomEvent("executed", { detail: msg.data }));
-                new CustomEvent("executed", { detail: msg.data })
-            );
       break;
     case "execution_start":
       api.dispatchEvent(
-                new CustomEvent("execution_start", { detail: msg.data })
+        new CustomEvent("execution_start", { detail: msg.data }),
       );
       break;
     case "execution_error":
       api.dispatchEvent(
-                new CustomEvent("execution_error", { detail: msg.data })
+        new CustomEvent("execution_error", { detail: msg.data }),
       );
       break;
     case "execution_cached":
       api.dispatchEvent(
-                new CustomEvent("execution_cached", { detail: msg.data })
+        new CustomEvent("execution_cached", { detail: msg.data }),
       );
       break;
     default:
@@ -91,11 +83,52 @@ function dispatchAPIEventData(data) {
   }
 }
 
+const context = {
+  selectedWorkflowInfo: null,
+};
+// let selectedWorkflowInfo = {
+//   workflow_id: "05da8f2b-63af-4c0c-86dd-08d01ec512b7",
+//   machine_id: "45ac5f85-b7b6-436f-8d97-2383b25485f3",
+//   native_run_api_endpoint: "http://localhost:3011/api/run",
+// };
+
+async function getSelectedWorkflowInfo() {
+  const workflow_info_promise = new Promise((resolve) => {
+    try {
+      const handleMessage = (event) => {
+        try {
+          const message = JSON.parse(event.data);
+          if (message.type === "workflow_info") {
+            resolve(message.data);
+            window.removeEventListener("message", handleMessage);
+          }
+        } catch (error) {
+          console.error(error);
+          resolve(undefined);
+        }
+      };
+      window.addEventListener("message", handleMessage);
+      sendEventToCD("workflow_info");
+    } catch (error) {
+      console.error(error);
+      resolve(undefined);
+    }
+  });
+
+  return workflow_info_promise;
+}
+
+function setSelectedWorkflowInfo(info) {
+  context.selectedWorkflowInfo = info;
+}
+
 /** @typedef {import('../../../web/types/comfy.js').ComfyExtension} ComfyExtension*/
 /** @type {ComfyExtension} */
 const ext = {
   name: "BennyKok.ComfyUIDeploy",
 
+  native_mode: false,
+
   init(app) {
     addButton();
 
@@ -105,16 +138,17 @@ const ext = {
     const org_display = queryParams.get("org_display");
     const origin = queryParams.get("origin");
     const workspace_mode = queryParams.get("workspace_mode");
+    this.native_mode = queryParams.get("native_mode") === "true";
 
     if (workspace_mode) {
       document.querySelector(".comfy-menu").style.display = "none";
 
       sendEventToCD("cd_plugin_onInit");
 
-            app.queuePrompt = ((originalFunction) => async () => {
+      // app.queuePrompt = ((originalFunction) => async () => {
-                // const prompt = await app.graphToPrompt();
+      //   // const prompt = await app.graphToPrompt();
-                sendEventToCD("cd_plugin_onQueuePromptTrigger");
+      //   sendEventToCD("cd_plugin_onQueuePromptTrigger");
-            })(app.queuePrompt);
+      // })(app.queuePrompt);
 
       // // Intercept the onkeydown event
       // window.addEventListener(
@@ -152,13 +186,11 @@ const ext = {
     }
 
     if (!workflow_version_id) {
-            console.error(
+      console.error("No workflow_version_id provided in query parameters.");
-                "No workflow_version_id provided in query parameters."
-            );
     } else {
       loadingDialog.showLoading(
         "Loading workflow from " + org_display,
-                "Please wait..."
+        "Please wait...",
       );
       fetch(endpoint + "/api/workflow-version/" + workflow_version_id, {
         method: "GET",
@@ -171,10 +203,7 @@ const ext = {
           const data = await res.json();
           const { workflow, workflow_id, error } = data;
           if (error) {
-                        infoDialog.showMessage(
+            infoDialog.showMessage("Unable to load this workflow", error);
-                            "Unable to load this workflow",
-                            error
-                        );
             return;
           }
 
@@ -197,7 +226,7 @@ const ext = {
           window.history.replaceState(
             {},
             document.title,
-                        window.location.pathname
+            window.location.pathname,
           );
         });
     }
@@ -205,11 +234,13 @@ const ext = {
 
   registerCustomNodes() {
     /** @type {LGraphNode}*/
-        class ComfyDeploy {
+    class ComfyDeploy extends LGraphNode {
-            color = LGraphCanvas.node_colors.yellow.color;
-            bgcolor = LGraphCanvas.node_colors.yellow.bgcolor;
-            groupcolor = LGraphCanvas.node_colors.yellow.groupcolor;
       constructor() {
+        super();
+        this.color = LGraphCanvas.node_colors.yellow.color;
+        this.bgcolor = LGraphCanvas.node_colors.yellow.bgcolor;
+        this.groupcolor = LGraphCanvas.node_colors.yellow.groupcolor;
+
         if (!this.properties) {
           this.properties = {};
           this.properties.workflow_name = "";
@@ -217,67 +248,77 @@ const ext = {
           this.properties.version = "";
         }
 
-                ComfyWidgets.STRING(
+        this.addWidget(
-                    this,
+          "text",
           "workflow_name",
-                    [
+          this.properties.workflow_name,
-                        "",
+          (v) => {
-                        {
+            this.properties.workflow_name = v;
-                            default: this.properties.workflow_name,
-                            multiline: false,
           },
-                    ],
+          { multiline: false },
-                    app
         );
 
-                ComfyWidgets.STRING(
+        this.addWidget(
-                    this,
+          "text",
           "workflow_id",
-                    [
+          this.properties.workflow_id,
-                        "",
+          (v) => {
-                        {
+            this.properties.workflow_id = v;
-                            default: this.properties.workflow_id,
-                            multiline: false,
           },
-                    ],
+          { multiline: false },
-                    app
         );
 
-                ComfyWidgets.STRING(
+        this.addWidget(
-                    this,
+          "text",
           "version",
-                    [
+          this.properties.version,
-                        "",
+          (v) => {
-                        { default: this.properties.version, multiline: false },
+            this.properties.version = v;
-                    ],
+          },
-                    app
+          { multiline: false },
         );
 
-                // this.widgets.forEach((w) => {
-                //   // w.computeSize = () => [200,10]
-                //   w.computedHeight = 2;
-                // })
-
         this.widgets_start_y = 10;
-                this.setSize(this.computeSize());
-
-                // const config = {  };
-
-                // console.log(this);
         this.serialize_widgets = true;
         this.isVirtualNode = true;
       }
+
+      onExecute() {
+        // This method is called when the node is executed
+        // You can add any necessary logic here
       }
 
-        // Load default visibility
+      onSerialize(o) {
+        // This method is called when the node is being serialized
+        // Ensure all necessary data is saved
+        if (!o.properties) {
+          o.properties = {};
+        }
+        o.properties.workflow_name = this.properties.workflow_name;
+        o.properties.workflow_id = this.properties.workflow_id;
+        o.properties.version = this.properties.version;
+      }
 
+      onConfigure(o) {
+        // This method is called when the node is being configured (e.g., when loading a saved graph)
+        // Ensure all necessary data is restored
+        if (o.properties) {
+          this.properties = { ...this.properties, ...o.properties };
+          this.widgets[0].value = this.properties.workflow_name || "";
+          this.widgets[1].value = this.properties.workflow_id || "";
+          this.widgets[2].value = this.properties.version || "1";
+        }
+      }
+    }
+
+    // Register the node type
     LiteGraph.registerNodeType(
       "ComfyDeploy",
       Object.assign(ComfyDeploy, {
-                title_mode: LiteGraph.NORMAL_TITLE,
         title: "Comfy Deploy",
+        title_mode: LiteGraph.NORMAL_TITLE,
         collapsable: true,
-            })
+      }),
     );
 
     ComfyDeploy.category = "deploy";
@@ -297,6 +338,17 @@ const ext = {
           // This part of the code would depend on how the ComfyUI expects to receive and process the workflow data
           // For demonstration, let's assume there's a loadWorkflow method in the ComfyUI API
           if (comfyUIWorkflow && app && app.loadGraphData) {
+            try {
+              await window["app"].ui.settings.setSettingValueAsync(
+                "Comfy.Validation.Workflows",
+                false,
+              );
+            } catch (error) {
+              console.warning(
+                "Error setting validation to false, is fine to ignore this",
+                error,
+              );
+            }
             console.log("loadGraphData");
             app.loadGraphData(comfyUIWorkflow);
           }
@@ -310,9 +362,7 @@ const ext = {
           if (typeof api.handlePromptGenerated === "function") {
             api.handlePromptGenerated(prompt);
           } else {
-                        console.warn(
+            console.warn("api.handlePromptGenerated is not a function");
-                            "api.handlePromptGenerated is not a function"
-                        );
           }
           sendEventToCD("cd_plugin_onQueuePrompt", prompt);
         } else if (message.type === "get_prompt") {
@@ -346,13 +396,9 @@ const ext = {
           const canvas = app.canvas;
           const targetScale = 1;
           const targetOffsetX =
-                        canvas.canvas.width / 4 -
+            canvas.canvas.width / 4 - position[0] - node.size[0] / 2;
-                        position[0] -
-                        node.size[0] / 2;
           const targetOffsetY =
-                        canvas.canvas.height / 4 -
+            canvas.canvas.height / 4 - position[1] - node.size[1] / 2;
-                        position[1] -
-                        node.size[1] / 2;
 
           const startScale = canvas.ds.scale;
           const startOffsetX = canvas.ds.offset[0];
@@ -376,21 +422,9 @@ const ext = {
 
             const easedT = easeOutCubic(t);
 
-                        const currentScale = lerp(
+            const currentScale = lerp(startScale, targetScale, easedT);
-                            startScale,
+            const currentOffsetX = lerp(startOffsetX, targetOffsetX, easedT);
-                            targetScale,
+            const currentOffsetY = lerp(startOffsetY, targetOffsetY, easedT);
-                            easedT
-                        );
-                        const currentOffsetX = lerp(
-                            startOffsetX,
-                            targetOffsetX,
-                            easedT
-                        );
-                        const currentOffsetY = lerp(
-                            startOffsetY,
-                            targetOffsetY,
-                            easedT
-                        );
 
             canvas.setZoom(currentScale);
             canvas.ds.offset = [currentOffsetX, currentOffsetY];
@@ -402,6 +436,8 @@ const ext = {
           }
 
           animate();
+        } else if (message.type === "workflow_info") {
+          setSelectedWorkflowInfo(message.data);
         }
         // else if (message.type === "refresh") {
         //   sendEventToCD("cd_plugin_onRefresh");
@@ -421,6 +457,25 @@ const ext = {
       //   }
     });
 
+    if (this.native_mode) {
+      // console.log("native mode", window, window.app);
+      try {
+        await app.ui.settings.setSettingValueAsync("Comfy.UseNewMenu", "Top");
+        await app.ui.settings.setSettingValueAsync(
+          "Comfy.Sidebar.Size",
+          "small"
+        );
+        await app.ui.settings.setSettingValueAsync(
+          "Comfy.Sidebar.Location",
+          "right"
+        );
+        localStorage.setItem("Comfy.MenuPosition.Docked", "true");
+        console.log("native mode manmanman");
+      } catch (error) {
+        console.error("Error setting validation to false", error);
+      }
+    }
+
     app.graph.onAfterChange = ((originalFunction) =>
       async function () {
         const prompt = await app.graphToPrompt();
@@ -442,7 +497,7 @@ const ext = {
 
 function showError(title, message) {
   infoDialog.show(
-        `<h3 style="margin: 0px; color: red;">${title}</h3><br><span>${message}</span> `
+    `<h3 style="margin: 0px; color: red;">${title}</h3><br><span>${message}</span> `,
   );
 }
 
@@ -532,6 +587,7 @@ function createDynamicUIHtml(data) {
   return html;
 }
 
+// Modify the existing deployWorkflow function
 async function deployWorkflow() {
   const deploy = document.getElementById("deploy-button");
 
@@ -550,7 +606,7 @@ async function deployWorkflow() {
   if (deployMeta.length == 0) {
     const text = await inputDialog.input(
       "Create your deployment",
-            "Workflow name"
+      "Workflow name",
     );
     if (!text) return;
     console.log(text);
@@ -591,7 +647,7 @@ async function deployWorkflow() {
     <input id="reuse-hash" type="checkbox" checked>Reuse hash from last version</input>
     </label>
     </div>
-    `
+    `,
   );
   if (!ok) return;
 
@@ -610,7 +666,7 @@ async function deployWorkflow() {
   if (!snapshot) {
     showError(
       "Error when deploying",
-            "Unable to generate snapshot, please install ComfyUI Manager"
+      "Unable to generate snapshot, please install ComfyUI Manager",
     );
     return;
   }
@@ -631,7 +687,7 @@ async function deployWorkflow() {
           "Content-Type": "application/json",
           Authorization: "Bearer " + apiKey,
         },
-            }
+      },
     )
       .then((x) => x.json())
       .catch(() => {
@@ -650,7 +706,7 @@ async function deployWorkflow() {
         // Match previous hash for models
         if (reuseHash && existing_workflow?.dependencies?.models) {
           const previousModelHash = Object.entries(
-                        existing_workflow?.dependencies?.models
+            existing_workflow?.dependencies?.models,
           ).flatMap(([key, value]) => {
             return Object.values(value).map((x) => ({
               ...x,
@@ -672,44 +728,36 @@ async function deployWorkflow() {
         console.log(file);
         loadingDialog.showLoading("Generating hash", file);
         const hash = await fetch(
-                    `/comfyui-deploy/get-file-hash?file_path=${encodeURIComponent(
+          `/comfyui-deploy/get-file-hash?file_path=${encodeURIComponent(file)}`,
-                        file
-                    )}`
         ).then((x) => x.json());
         loadingDialog.showLoading("Generating hash", file);
         console.log(hash);
         return hash.file_hash;
       },
-            handleFileUpload: async (file, hash, prevhash) => {
+      //   handleFileUpload: async (file, hash, prevhash) => {
-                console.log("Uploading ", file);
+      //     console.log("Uploading ", file);
-                loadingDialog.showLoading("Uploading file", file);
+      //     loadingDialog.showLoading("Uploading file", file);
-                try {
+      //     try {
-                    const { download_url } = await fetch(
+      //       const { download_url } = await fetch(`/comfyui-deploy/upload-file`, {
-                        `/comfyui-deploy/upload-file`,
+      //         method: "POST",
-                        {
+      //         body: JSON.stringify({
-                            method: "POST",
+      //           file_path: file,
-                            body: JSON.stringify({
+      //           token: apiKey,
-                                file_path: file,
+      //           url: endpoint + "/api/upload-url",
-                                token: apiKey,
+      //         }),
-                                url: endpoint + "/api/upload-url",
+      //       })
-                            }),
+      //         .then((x) => x.json())
-                        }
+      //         .catch(() => {
-                    )
+      //           loadingDialog.close();
-                        .then((x) => x.json())
+      //           confirmDialog.confirm("Error", "Unable to upload file " + file);
-                        .catch(() => {
+      //         });
-                            loadingDialog.close();
+      //       loadingDialog.showLoading("Uploaded file", file);
-                            confirmDialog.confirm(
+      //       console.log(download_url);
-                                "Error",
+      //       return download_url;
-                                "Unable to upload file " + file
+      //     } catch (error) {
-                            );
+      //       return undefined;
-                        });
+      //     }
-                    loadingDialog.showLoading("Uploaded file", file);
+      //   },
-                    console.log(download_url);
-                    return download_url;
-                } catch (error) {
-                    return undefined;
-                }
-            },
       existingDependencies: existing_workflow.dependencies,
     });
 
@@ -734,12 +782,21 @@ async function deployWorkflow() {
       "Check dependencies",
       // JSON.stringify(deps, null, 2),
       `
+      <div>
+        You will need to create a cloud machine with the following configuration on ComfyDeploy
+        <ol style="text-align: left; margin-top: 10px;">
+            <li>Review the dependencies listed in the graph below</li>
+            <li>Create a new cloud machine with the required configuration</li>
+            <li>Install missing models and check missing files</li>
+            <li>Deploy your workflow to the newly created machine</li>
+        </ol>
+      </div>
       <div style="position: absolute; top: 50%; left: 50%; transform: translate(-50%, -50%);">${loadingIcon}</div>
       <iframe 
       style="z-index: 10; min-width: 600px; max-width: 1024px; min-height: 600px; border: none; background-color: transparent;"
       src="https://www.comfydeploy.com/dependency-graph?deps=${encodeURIComponent(
-          JSON.stringify(deps)
+        JSON.stringify(deps),
-      )}" />`
+      )}" />`,
       // createDynamicUIHtml(deps),
     );
     if (!depsOk) return;
@@ -800,9 +857,17 @@ async function deployWorkflow() {
     graph.change();
 
     infoDialog.show(
-            `<span style="color:green;">Deployed successfully!</span>  <a style="color:white;" target="_blank" href=${endpoint}/workflows/${data.workflow_id}>-> View here</a> <br/> <br/> Workflow ID: ${data.workflow_id} <br/> Workflow Name: ${workflow_name} <br/> Workflow Version: ${data.version} <br/>`
+      `<span style="color:green;">Deployed successfully!</span>  <a style="color:white;" target="_blank" href=${endpoint}/workflows/${data.workflow_id}>-> View here</a> <br/> <br/> Workflow ID: ${data.workflow_id} <br/> Workflow Name: ${workflow_name} <br/> Workflow Version: ${data.version} <br/>`,
     );
 
+    // // Refresh the workflows list in the sidebar
+    // const sidebarEl = document.querySelector(
+    //   '.comfy-sidebar-tab[data-id="search"]',
+    // );
+    // if (sidebarEl) {
+    //   refreshWorkflowsList(sidebarEl);
+    // }
+
     setTimeout(() => {
       title.textContent = "Deploy";
       title.style.color = "white";
@@ -820,6 +885,85 @@ async function deployWorkflow() {
   }
 }
 
+// Add this function to refresh the workflows list
+function refreshWorkflowsList(el) {
+  const workflowsList = el.querySelector("#workflows-list");
+  const workflowsLoading = el.querySelector("#workflows-loading");
+
+  workflowsLoading.style.display = "flex";
+  workflowsList.style.display = "none";
+  workflowsList.innerHTML = "";
+
+  client.workflows
+    .getAll({
+      page: "1",
+      pageSize: "10",
+    })
+    .then((result) => {
+      workflowsLoading.style.display = "none";
+      workflowsList.style.display = "block";
+
+      if (result.length === 0) {
+        workflowsList.innerHTML =
+          "<li style='color: #bdbdbd;'>No workflows found</li>";
+        return;
+      }
+
+      result.forEach((workflow) => {
+        const li = document.createElement("li");
+        li.style.marginBottom = "15px";
+        li.style.padding = "15px";
+        li.style.backgroundColor = "#2a2a2a";
+        li.style.borderRadius = "8px";
+        li.style.boxShadow = "0 2px 4px rgba(0,0,0,0.1)";
+
+        const lastRun = workflow.runs[0];
+        const lastRunStatus = lastRun ? lastRun.status : "No runs";
+        const statusColor =
+          lastRunStatus === "success"
+            ? "#4CAF50"
+            : lastRunStatus === "error"
+              ? "#F44336"
+              : "#FFC107";
+
+        const timeAgo = getTimeAgo(new Date(workflow.updatedAt));
+
+        li.innerHTML = `
+          <div style="display: flex; justify-content: space-between; align-items: center; margin-bottom: 10px;">
+            <div style="flex: 1; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">
+              <strong style="font-size: 18px; color: #e0e0e0;">${workflow.name}</strong>
+            </div>
+            <span style="font-size: 12px; color: ${statusColor}; margin-left: 10px;">Last run: ${lastRunStatus}</span>
+          </div>
+          <div style="font-size: 14px; color: #bdbdbd; margin-bottom: 10px;">Last updated ${timeAgo}</div>
+          <div style="display: flex; gap: 10px;">
+            <button class="open-cloud-btn" style="padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 4px; cursor: pointer;">Open in Cloud</button>
+            <button class="load-api-btn" style="padding: 5px 10px; background-color: #2196F3; color: white; border: none; border-radius: 4px; cursor: pointer;">Load Workflow</button>
+          </div>
+        `;
+
+        const openCloudBtn = li.querySelector(".open-cloud-btn");
+        openCloudBtn.onclick = () =>
+          window.open(
+            `${getData().endpoint}/workflows/${workflow.id}?workspace=true`,
+            "_blank",
+          );
+
+        const loadApiBtn = li.querySelector(".load-api-btn");
+        loadApiBtn.onclick = () => loadWorkflowApi(workflow.versions[0].id);
+
+        workflowsList.appendChild(li);
+      });
+    })
+    .catch((error) => {
+      console.error("Error fetching workflows:", error);
+      workflowsLoading.style.display = "none";
+      workflowsList.style.display = "block";
+      workflowsList.innerHTML =
+        "<li style='color: #F44336;'>Error fetching workflows</li>";
+    });
+}
+
 function addButton() {
   const menu = document.querySelector(".comfy-menu");
 
@@ -997,22 +1141,17 @@ export class InputDialog extends InfoDialog {
             type: "button",
             textContent: "Save",
             onclick: () => {
-                            const input =
+              const input = this.textElement.querySelector("#input").value;
-                                this.textElement.querySelector("#input").value;
               if (input.trim() === "") {
-                                showError(
+                showError("Input validation", "Input cannot be empty");
-                                    "Input validation",
-                                    "Input cannot be empty"
-                                );
               } else {
                 this.callback?.(input);
                 this.close();
-                                this.textElement.querySelector("#input").value =
+                this.textElement.querySelector("#input").value = "";
-                                    "";
               }
             },
           }),
-                ]
+        ],
       ),
     ];
   }
@@ -1073,7 +1212,7 @@ export class ConfirmDialog extends InfoDialog {
               this.close();
             },
           }),
-                ]
+        ],
       ),
     ];
   }
@@ -1130,7 +1269,7 @@ function getData(environment) {
 function saveData(data) {
   localStorage.setItem(
     "comfy_deploy_env_data_" + data.environment,
-        JSON.stringify(data)
+    JSON.stringify(data),
   );
 }
 
@@ -1145,9 +1284,7 @@ export class ConfigDialog extends ComfyDialog {
     this.element.style.paddingBottom = "20px";
 
     this.container = document.createElement("div");
-        this.element
+    this.element.querySelector(".comfy-modal-content").prepend(this.container);
-            .querySelector(".comfy-modal-content")
-            .prepend(this.container);
   }
 
   createButtons() {
@@ -1181,7 +1318,7 @@ export class ConfigDialog extends ComfyDialog {
               this.close();
             },
           }),
-                ]
+        ],
       ),
     ];
   }
@@ -1193,8 +1330,7 @@ export class ConfigDialog extends ComfyDialog {
   }
 
   save(api_key, displayName) {
-        const deployOption =
+    const deployOption = this.container.querySelector("#deployOption").value;
-            this.container.querySelector("#deployOption").value;
     localStorage.setItem("comfy_deploy_env", deployOption);
 
     const endpoint = this.container.querySelector("#endpoint").value;
@@ -1226,12 +1362,8 @@ export class ConfigDialog extends ComfyDialog {
     <h3 style="margin: 0px;">Comfy Deploy Config</h3>
     <label style="color: white; width: 100%;">
       <select id="deployOption" style="margin: 8px 0px; width: 100%; height:30px; box-sizing: border-box;" >
-        <option value="cloud" ${
+        <option value="cloud" ${data.environment === "cloud" ? "selected" : ""}>Cloud</option>
-            data.environment === "cloud" ? "selected" : ""
+        <option value="local" ${data.environment === "local" ? "selected" : ""}>Local</option>
-        }>Cloud</option>
-        <option value="local" ${
-            data.environment === "local" ? "selected" : ""
-        }>Local</option>
       </select>
     </label>
       <label style="color: white; width: 100%;">
@@ -1249,9 +1381,7 @@ export class ConfigDialog extends ComfyDialog {
         }">
         <button id="loginButton" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;">
           ${
-              data.apiKey
+            data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
-                  ? "Re-login with ComfyDeploy"
-                  : "Login with ComfyDeploy"
           }
         </button>
       </div>
@@ -1272,7 +1402,7 @@ export class ConfigDialog extends ComfyDialog {
         clearInterval(poll);
         infoDialog.showMessage(
           "Timeout",
-                    "Wait too long for the response, please try re-login"
+          "Wait too long for the response, please try re-login",
         );
       }, 30000); // Stop polling after 30 seconds
 
@@ -1283,15 +1413,14 @@ export class ConfigDialog extends ComfyDialog {
             if (json.api_key) {
               this.save(json.api_key, json.name);
               this.close();
-                            this.container.querySelector("#apiKey").value =
+              this.container.querySelector("#apiKey").value = json.api_key;
-                                json.api_key;
               // infoDialog.show();
               clearInterval(this.poll);
               clearTimeout(this.timeout);
               // Refresh dialog
               const a = await confirmDialog.confirm(
                 "Authenticated",
-                                `<div>You will be able to upload workflow to <button style="font-size: 18px; width: fit;">${json.name}</button></div>`
+                `<div>You will be able to upload workflow to <button style="font-size: 18px; width: fit;">${json.name}</button></div>`,
               );
               configDialog.show();
             }
@@ -1327,3 +1456,153 @@ export class ConfigDialog extends ComfyDialog {
 }
 
 export const configDialog = new ConfigDialog();
+
+const currentOrigin = window.location.origin;
+const client = new ComfyDeploy({
+  bearerAuth: getData().apiKey,
+  serverURL: `${currentOrigin}/comfydeploy/api/`,
+});
+
+app.extensionManager.registerSidebarTab({
+  id: "search",
+  icon: "pi pi-cloud-upload",
+  title: "Deploy",
+  tooltip: "Deploy and Configure",
+  type: "custom",
+  render: (el) => {
+    el.innerHTML = `
+      <div style="padding: 20px;">
+        <h3>Comfy Deploy</h3>
+        <div id="deploy-container" style="margin-bottom: 20px;"></div>
+        <div id="workflows-container">
+          <h4>Your Workflows</h4>
+          <div id="workflows-loading" style="display: flex; justify-content: center; align-items: center; height: 100px;">
+            ${loadingIcon}
+          </div>
+          <ul id="workflows-list" style="list-style-type: none; padding: 0; display: none;"></ul>
+        </div>
+        <div id="config-container"></div>
+      </div>
+    `;
+
+    // Add deploy button
+    const deployContainer = el.querySelector("#deploy-container");
+    const deployButton = document.createElement("button");
+    deployButton.id = "sidebar-deploy-button";
+    deployButton.style.display = "flex";
+    deployButton.style.alignItems = "center";
+    deployButton.style.justifyContent = "center";
+    deployButton.style.width = "100%";
+    deployButton.style.marginBottom = "10px";
+    deployButton.style.padding = "10px";
+    deployButton.style.fontSize = "16px";
+    deployButton.style.fontWeight = "bold";
+    deployButton.style.backgroundColor = "#4CAF50";
+    deployButton.style.color = "white";
+    deployButton.style.border = "none";
+    deployButton.style.borderRadius = "5px";
+    deployButton.style.cursor = "pointer";
+    deployButton.innerHTML = `<i class="pi pi-cloud-upload" style="margin-right: 8px;"></i><div id='sidebar-button-title'>Deploy</div>`;
+    deployButton.onclick = async () => {
+      await deployWorkflow();
+      // Refresh the workflows list after deployment
+      refreshWorkflowsList(el);
+    };
+    deployContainer.appendChild(deployButton);
+
+    // Add config button
+    const configContainer = el.querySelector("#config-container");
+    const configButton = document.createElement("button");
+    configButton.style.display = "flex";
+    configButton.style.alignItems = "center";
+    configButton.style.justifyContent = "center";
+    configButton.style.width = "100%";
+    configButton.style.padding = "8px";
+    configButton.style.fontSize = "14px";
+    configButton.style.backgroundColor = "#f0f0f0";
+    configButton.style.color = "#333";
+    configButton.style.border = "1px solid #ccc";
+    configButton.style.borderRadius = "5px";
+    configButton.style.cursor = "pointer";
+    configButton.innerHTML = `<i class="pi pi-cog" style="margin-right: 8px;"></i>Configure`;
+    configButton.onclick = () => {
+      configDialog.show();
+    };
+    deployContainer.appendChild(configButton);
+
+    // Fetch and display workflows
+    const workflowsList = el.querySelector("#workflows-list");
+    const workflowsLoading = el.querySelector("#workflows-loading");
+
+    refreshWorkflowsList(el);
+  },
+});
+
+function getTimeAgo(date) {
+  const seconds = Math.floor((new Date() - date) / 1000);
+  let interval = seconds / 31536000;
+  if (interval > 1) return Math.floor(interval) + " years ago";
+  interval = seconds / 2592000;
+  if (interval > 1) return Math.floor(interval) + " months ago";
+  interval = seconds / 86400;
+  if (interval > 1) return Math.floor(interval) + " days ago";
+  interval = seconds / 3600;
+  if (interval > 1) return Math.floor(interval) + " hours ago";
+  interval = seconds / 60;
+  if (interval > 1) return Math.floor(interval) + " minutes ago";
+  return Math.floor(seconds) + " seconds ago";
+}
+
+async function loadWorkflowApi(versionId) {
+  try {
+    const response = await client.comfyui.getWorkflowVersionVersionId({
+      versionId: versionId,
+    });
+    // Implement the logic to load the workflow API into the ComfyUI interface
+    console.log("Workflow API loaded:", response);
+    await window["app"].ui.settings.setSettingValueAsync(
+      "Comfy.Validation.Workflows",
+      false,
+    );
+    app.loadGraphData(response.workflow);
+    // You might want to update the UI or trigger some action in ComfyUI here
+  } catch (error) {
+    console.error("Error loading workflow API:", error);
+    // Show an error message to the user
+  }
+}
+
+const orginal_fetch_api = api.fetchApi;
+api.fetchApi = async (route, options) => {
+  console.log("Fetch API called with args:", route, options, ext.native_mode);
+
+  if (route.startsWith("/prompt") && ext.native_mode) {
+    const info = await getSelectedWorkflowInfo();
+    console.log("info", info);
+    if (info) {
+      const body = JSON.parse(options.body);
+
+      const data = {
+        client_id: body.client_id,
+        workflow_api_json: body.prompt,
+        workflow: body?.extra_data?.extra_pnginfo?.workflow,
+        is_native_run: true,
+        machine_id: info.machine_id,
+        workflow_id: info.workflow_id,
+        native_run_api_endpoint: info.native_run_api_endpoint,
+        gpu_event_id: info.gpu_event_id,
+      };
+
+      return await fetch("/comfyui-deploy/run", {
+        method: "POST",
+        headers: {
+          Authorization: `Bearer ${info.cd_token}`,
+          "Content-Type": "application/json",
+        },
+        body: JSON.stringify(data),
+      });
+    }
+  }
+
+  return await orginal_fetch_api.call(api, route, options);
+};

web/src/components/customInputNodes.tsx

@@ -6,4 +6,5 @@ export const customInputNodes: Record<string, string> = {
   ComfyUIDeployExternalNumberInt: "integer",
   ComfyUIDeployExternalLora: "string - (public lora download url)",
   ComfyUIDeployExternalCheckpoint: "string - (public checkpoints download url)",
+  ComfyUIDeployExternalFaceModel: "string - (public face model download url)",
 };