fix(setup): reload the app after adding the localstorage values

The current problem is that if you do `localsStorage.setItem()` the
value is changed, but comfyUI doesn't detect the change because
`ComfyActionbar` was already mounted.

This is a quick fix where we basically trigger a reload of the app
after docking the menu position.

.github/workflows/publish.yml

@@ -7,19 +7,15 @@ on:
     paths:
       - "pyproject.toml"
 
-permissions:
-  issues: write
-
 jobs:
   publish-node:
     name: Publish Custom Node to registry
     runs-on: ubuntu-latest
-    if: ${{ github.repository_owner == 'BennyKok' }}
     steps:
       - name: Check out code
         uses: actions/checkout@v4
       - name: Publish Custom Node
-        uses: Comfy-Org/publish-node-action@v1
+        uses: Comfy-Org/publish-node-action@main
         with:
           ## Add your own personal access token to your Github Repository secrets and reference it here.
-          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}
+          personal_access_token: ${{ secrets.REGISTRY_ACCESS_TOKEN }}

.gitignore

@@ -1,3 +1,2 @@
 __pycache__
-.DS_Store
-file-hash-cache.json
+.DS_Store

README.md

@@ -2,9 +2,6 @@
 
 Open source comfyui deployment platform, a `vercel` for generative workflow infra. (serverless hosted gpu with vertical intergation with comfyui)
 
-> [!NOTE]  
-> Im looking for creative hacker to join ComfyDeploy's core team! DM me on [twitter](https://x.com/BennyKokMusic)
-
 Join [Discord](https://discord.gg/EEYcQmdYZw) to chat more or visit [Comfy Deploy](https://comfydeploy.com/) to get started!
 
 Check out our latest [nextjs starter kit](https://github.com/BennyKok/comfyui-deploy-next-example) with Comfy Deploy
@@ -96,6 +93,10 @@ Major areas
 
 # Self Hosting with Vercel
 
+[![Video](https://img.mytsi.org/i/nFOG479.png)](https://www.youtube.com/watch?v=hWvsEY1cS2M)
+Tutorial Created by [Ross](https://github.com/rossman22590) and [Syn](https://github.com/mortlsyn)
+
+
 Build command
 
 ```

__init__.py

@@ -2,9 +2,8 @@
 @author: BennyKok
 @title: comfyui-deploy
 @nickname: Comfy Deploy
-@description:
+@description: 
 """
-
 import os
 import sys
 
@@ -18,23 +17,19 @@ import requests
 import folder_paths
 from folder_paths import add_model_folder_path, get_filename_list, get_folder_paths
 from tqdm import tqdm
-import re
 
 from . import custom_routes
 # import routes
 
 ag_path = os.path.join(os.path.dirname(__file__))
 
-
 def get_python_files(path):
     return [f[:-3] for f in os.listdir(path) if f.endswith(".py")]
 
-
 def append_to_sys_path(path):
     if path not in sys.path:
         sys.path.append(path)
 
-
 paths = ["comfy-nodes"]
 files = []
 
@@ -46,45 +41,14 @@ for path in paths:
 NODE_CLASS_MAPPINGS = {}
 NODE_DISPLAY_NAME_MAPPINGS = {}
 
-
-def split_camel_case(name):
-    # Split on underscores first, then split each part on camelCase
-    parts = []
-    for part in name.split("_"):
-        # Find all camelCase boundaries
-        words = re.findall("[A-Z][^A-Z]*", part)
-        if not words:  # If no camelCase found, use the whole part
-            words = [part]
-        parts.extend(words)
-    return parts
-
-
 # Import all the modules and append their mappings
 for file in files:
     module = importlib.import_module(file)
 
-    # Check if the module has explicit mappings
     if hasattr(module, "NODE_CLASS_MAPPINGS"):
         NODE_CLASS_MAPPINGS.update(module.NODE_CLASS_MAPPINGS)
     if hasattr(module, "NODE_DISPLAY_NAME_MAPPINGS"):
         NODE_DISPLAY_NAME_MAPPINGS.update(module.NODE_DISPLAY_NAME_MAPPINGS)
 
-    # Auto-discover classes with ComfyUI node attributes
-    for name, obj in inspect.getmembers(module):
-        # Check if it's a class and has the required ComfyUI node attributes
-        if (
-            inspect.isclass(obj)
-            and hasattr(obj, "INPUT_TYPES")
-            and hasattr(obj, "RETURN_TYPES")
-        ):
-            # Use the class name as the key if not already in mappings
-            if name not in NODE_CLASS_MAPPINGS:
-                NODE_CLASS_MAPPINGS[name] = obj
-                # Create a display name by converting camelCase to Title Case with spaces
-                words = split_camel_case(name.replace("ComfyUIDeploy", ""))
-                display_name = " ".join(word.capitalize() for word in words)
-                # print(display_name, name)
-                NODE_DISPLAY_NAME_MAPPINGS[name] = display_name
-
 WEB_DIRECTORY = "web-plugin"
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

comfy-nodes/external_audio.py

@@ -1,82 +0,0 @@
-import io
-from folder_paths import get_annotated_filepath
-
-
-class ComfyUIDeployExternalAudio:
-    RETURN_TYPES = ("AUDIO",)
-    RETURN_NAMES = ("audio",)
-    FUNCTION = "load_audio"
-    CATEGORY = "🔗ComfyDeploy"
-
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_audio"},
-                ),
-                "audio_file": ("STRING", {"default": ""}),
-            },
-            "optional": {
-                "default_value": ("AUDIO",),
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-            },
-        }
-
-    @classmethod
-    def VALIDATE_INPUTS(s, audio_file, **kwargs):
-        return True
-
-    def load_audio(
-        self,
-        input_id,
-        audio_file,
-        default_value=None,
-        display_name=None,
-        description=None,
-    ):
-        try:
-            import torchaudio
-
-            if audio_file and audio_file != "":
-                if audio_file.startswith(("http://", "https://")):
-                    # Handle URL input
-                    try:
-                        import requests
-
-                        response = requests.get(audio_file)
-                        audio_data = io.BytesIO(response.content)
-                        waveform, sample_rate = torchaudio.load(audio_data)
-                    except Exception as e:
-                        print(f"Error loading audio from URL: {e}")
-                        return (default_value,)
-                else:
-                    # Handle local file
-                    try:
-                        audio_path = get_annotated_filepath(audio_file)
-                        waveform, sample_rate = torchaudio.load(audio_path)
-                    except Exception as e:
-                        print(f"Error loading local audio file: {e}")
-                        return (default_value,)
-
-                audio = {"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate}
-                return (audio,)
-            else:
-                return (default_value,)
-        except ImportError as e:
-            print(f"Error: torchaudio not installed or cannot be imported: {e}")
-            return (default_value,)
-
-
-NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalAudio": ComfyUIDeployExternalAudio}
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "ComfyUIDeployExternalAudio": "External Audio (ComfyUI Deploy)"
-}

comfy-nodes/external_boolean.py

@@ -23,9 +23,8 @@ class ComfyUIDeployExternalBoolean:
 
     RETURN_TYPES = ("BOOLEAN",)
     RETURN_NAMES = ("bool_value",)
-        
+    
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
     
     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}")

comfy-nodes/external_checkpoints.py

@@ -36,11 +36,10 @@ class ComfyUIDeployExternalCheckpoint:
 
     RETURN_TYPES = (WILDCARD,)
     RETURN_NAMES = ("path",)
-    
 
     FUNCTION = "run"
 
-    CATEGORY = "🔗ComfyDeploy"
+    CATEGORY = "deploy"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         import requests

comfy-nodes/external_enum.py

@@ -1,46 +0,0 @@
-class AnyType(str):
-    def __ne__(self, __value: object) -> bool:
-        return False
-
-
-WILDCARD = AnyType("*")
-
-class ComfyUIDeployExternalEnum:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_enum"},
-                ),
-            },
-            "optional": {
-                "default_value": (
-                    "STRING",
-                    {"multiline": False, "default": "", "dynamic_enum": True},
-                ),
-                "options": (
-                    "STRING",
-                    {"multiline": True, "default": ""},
-                ),
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": True, "default": ""},
-                ),
-            }
-        }
-
-    RETURN_TYPES = (WILDCARD,)
-    RETURN_NAMES = ("text",)
-
-    FUNCTION = "run"
-
-    CATEGORY = "🔗ComfyDeploy"
-
-    def run(self, input_id, options=None, default_value=None, display_name=None, description=None):
-        return [default_value]

comfy-nodes/external_exr.py

@@ -1,110 +0,0 @@
-import os
-import io
-import cv2 as cv
-import numpy as np
-import torch
-import requests
-from folder_paths import get_annotated_filepath
-
-class ComfyUIDeployExternalEXR:
-    RETURN_TYPES = ("IMAGE", "MASK")
-    RETURN_NAMES = ("image", "mask") 
-    FUNCTION = "load_exr"
-    CATEGORY = "🔗ComfyDeploy"
-    
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_exr"},
-                ),
-                "exr_file": ("STRING", {"default": ""}),
-                "tonemap": (["linear", "sRGB", "Reinhard"], {"default": "sRGB"}),
-            },
-            "optional": {
-                "default_image": ("IMAGE",),
-                "default_mask": ("MASK",),
-                "display_name": (
-                    "STRING", 
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-            }
-        }
-
-    @classmethod
-    def VALIDATE_INPUTS(s, exr_file, **kwargs):
-        return True
-
-    def sRGBtoLinear(self, npArray):
-        less = npArray <= 0.0404482362771082
-        npArray[less] = npArray[less] / 12.92
-        npArray[~less] = np.power((npArray[~less] + 0.055) / 1.055, 2.4)
-
-    def linearToSRGB(self, npArray):
-        less = npArray <= 0.0031308
-        npArray[less] = npArray[less] * 12.92
-        npArray[~less] = np.power(npArray[~less], 1/2.4) * 1.055 - 0.055
-
-    def load_exr(self, input_id, exr_file, tonemap="sRGB", 
-                 default_image=None, default_mask=None,
-                 display_name=None, description=None):
-        try:
-            if exr_file and exr_file != "":
-                if exr_file.startswith(('http://', 'https://')):
-                    # Handle URL input
-                    response = requests.get(exr_file)
-                    # Write to temp buffer
-                    buffer = io.BytesIO(response.content)
-                    nparr = np.frombuffer(buffer.getvalue(), np.uint8)
-                    image = cv.imdecode(nparr, cv.IMREAD_UNCHANGED).astype(np.float32)
-                else:
-                    # Handle local file
-                    exr_path = get_annotated_filepath(exr_file)
-                    image = cv.imread(exr_path, cv.IMREAD_UNCHANGED).astype(np.float32)
-
-                if len(image.shape) == 2:
-                    image = np.repeat(image[..., np.newaxis], 3, axis=2)
-                
-                # Extract RGB and flip channels
-                rgb = np.flip(image[:,:,:3], 2).copy()
-                
-                # Apply tonemapping
-                if tonemap == "sRGB":
-                    self.linearToSRGB(rgb)
-                    rgb = np.clip(rgb, 0, 1)
-                elif tonemap == "Reinhard":
-                    rgb = np.clip(rgb, 0, None)
-                    rgb = rgb / (rgb + 1)
-                    self.linearToSRGB(rgb)
-                    rgb = np.clip(rgb, 0, 1)
-                
-                rgb = torch.unsqueeze(torch.from_numpy(rgb), 0)
-                
-                # Handle alpha/mask
-                mask = torch.zeros((1, image.shape[0], image.shape[1]), dtype=torch.float32)
-                if image.shape[2] > 3:
-                    mask[0] = torch.from_numpy(np.clip(image[:,:,3], 0, 1))
-
-                return (rgb, mask)
-            else:
-                # Return defaults if no file provided
-                return (default_image, default_mask)
-
-        except Exception as e:
-            print(f"Error loading EXR: {str(e)}")
-            # Return defaults on error
-            return (default_image, default_mask)
-
-NODE_CLASS_MAPPINGS = {
-    "ComfyUIDeployExternalEXR": ComfyUIDeployExternalEXR
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "ComfyUIDeployExternalEXR": "External EXR (ComfyUI Deploy)"
-}

comfy-nodes/external_face_model.py

@@ -48,8 +48,10 @@ class ComfyUIDeployExternalFaceModel:
 
     RETURN_TYPES = (WILDCARD,)
     RETURN_NAMES = ("path",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "deploy"
 
     def run(
         self,

comfy-nodes/external_image.py

@@ -21,55 +21,44 @@ class ComfyUIDeployExternalImage:
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": False, "default": ""},
+                    {"multiline": True, "default": ""},
                 ),
-                "default_value_url": ("STRING", {"image_preview": True, "default": ""}),
             }
         }
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("image",)
-    FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
 
-    def run(self, input_id, default_value=None, display_name=None, description=None, default_value_url=None):
+    FUNCTION = "run"
+
+    CATEGORY = "image"
+
+    def run(self, input_id, default_value=None, display_name=None, description=None):
         image = default_value
-        
-        # Try both input_id and default_value_url
-        urls_to_try = [url for url in [input_id, default_value_url] if url]
-        
-        print(default_value_url)
-        
-        for url in urls_to_try:
-            try:
-                if url.startswith('http'):
-                    import requests
-                    from io import BytesIO
-                    print(f"Fetching image from url: {url}")
-                    response = requests.get(url)
-                    image = Image.open(BytesIO(response.content))
-                    break
-                elif url.startswith(('data:image/png;base64,', 'data:image/jpeg;base64,', 'data:image/jpg;base64,')):
-                    import base64
-                    from io import BytesIO
-                    print("Decoding base64 image")
-                    base64_image = url[url.find(",")+1:]
-                    decoded_image = base64.b64decode(base64_image)
-                    image = Image.open(BytesIO(decoded_image))
-                    break
-            except:
-                continue
-        
-        if image is not None:
-            try:
-                image = ImageOps.exif_transpose(image)
-                image = image.convert("RGB")
-                image = np.array(image).astype(np.float32) / 255.0
-                image = torch.from_numpy(image)[None,]
-            except:
-                pass
-                
-        return [image]
+        try:
+            if input_id.startswith('http'):
+                import requests
+                from io import BytesIO
+                print("Fetching image from url: ", input_id)
+                response = requests.get(input_id)
+                image = Image.open(BytesIO(response.content))
+            elif input_id.startswith('data:image/png;base64,') or input_id.startswith('data:image/jpeg;base64,') or input_id.startswith('data:image/jpg;base64,'):
+                import base64
+                from io import BytesIO
+                print("Decoding base64 image")
+                base64_image = input_id[input_id.find(",")+1:]
+                decoded_image = base64.b64decode(base64_image)
+                image = Image.open(BytesIO(decoded_image))
+            else:
+                raise ValueError("Invalid image url provided.")
+
+            image = ImageOps.exif_transpose(image)
+            image = image.convert("RGB")
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            return [image]
+        except:
+            return [image]
 
 
 NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalImage": ComfyUIDeployExternalImage}

comfy-nodes/external_image_alpha.py

@@ -28,8 +28,10 @@ class ComfyUIDeployExternalImageAlpha:
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("image",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "image"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         image = default_value

comfy-nodes/external_image_batch.py

@@ -34,8 +34,10 @@ class ComfyUIDeployExternalImageBatch:
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("image",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "image"
     
     def process_image(self, image):
         image = ImageOps.exif_transpose(image)

comfy-nodes/external_lora.py

@@ -1,4 +1,8 @@
 import folder_paths
+from PIL import Image, ImageOps
+import numpy as np
+import torch
+import folder_paths
 
 
 class AnyType(str):
@@ -37,17 +41,15 @@ class ComfyUIDeployExternalLora:
                     "STRING",
                     {"multiline": False, "default": ""},
                 ),
-                "bearer_token": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
             },
         }
 
     RETURN_TYPES = (WILDCARD,)
     RETURN_NAMES = ("path",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "deploy"
 
     def run(
         self,
@@ -57,7 +59,6 @@ class ComfyUIDeployExternalLora:
         display_name=None,
         description=None,
         lora_url=None,
-        bearer_token=None,
     ):
         import requests
         import os
@@ -85,13 +86,9 @@ class ComfyUIDeployExternalLora:
                     + " to "
                     + destination_path
                 )
-                headers = {"User-Agent": "Mozilla/5.0"}
-                if bearer_token:
-                    headers["Authorization"] = f"Bearer {bearer_token}"
-                    print("using bearer token")
                 response = requests.get(
                     lora_url,
-                    headers=headers,
+                    headers={"User-Agent": "Mozilla/5.0"},
                     allow_redirects=True,
                 )
                 with open(destination_path, "wb") as out_file:

comfy-nodes/external_number.py

@@ -31,8 +31,10 @@ class ComfyUIDeployExternalNumber:
 
     RETURN_TYPES = ("FLOAT",)
     RETURN_NAMES = ("value",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "number"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         try:

comfy-nodes/external_number_int.py

@@ -31,8 +31,10 @@ class ComfyUIDeployExternalNumberInt:
 
     RETURN_TYPES = ("INT",)
     RETURN_NAMES = ("value",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "number"
 
     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()):

comfy-nodes/external_number_slider.py

@@ -34,8 +34,10 @@ class ComfyUIDeployExternalNumberSlider:
 
     RETURN_TYPES = ("FLOAT",)
     RETURN_NAMES = ("value",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "number"
 
     def run(self, input_id, default_value=None, min_value=0, max_value=1, display_name=None, description=None):
         try:

comfy-nodes/external_number_slider_int.py

@@ -1,54 +0,0 @@
-class ComfyUIDeployExternalNumberSliderInt:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_number_slider_int"},
-                ),
-            },
-            "optional": {
-                "default_value": (
-                    "INT",
-                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 1, "step": 1},
-                ),
-                "min_value": (
-                    "INT",
-                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 0, "step": 1},
-                ),
-                "max_value": (
-                    "INT",
-                    {"multiline": True, "display": "number", "min": -2147483647, "max": 2147483647, "default": 10, "step": 1},
-                ),
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": True, "default": ""},
-                ),
-            }
-        }
-
-    RETURN_TYPES = ("INT",)
-    RETURN_NAMES = ("value",)
-    FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
-
-    def run(self, input_id, default_value=None, min_value=0, max_value=10, display_name=None, description=None):
-        try:
-            int_value = int(round(float(input_id)))
-            if min_value <= int_value <= max_value:
-                print("my integer", int_value)
-                return [int_value]
-            else:
-                print("Integer out of range. Returning default value:", default_value)
-                return [default_value]
-        except (ValueError, TypeError):
-            print("Invalid input. Returning default value:", default_value)
-            return [default_value]
-
-NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalNumberSliderInt": ComfyUIDeployExternalNumberSliderInt}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalNumberSliderInt": "External Number Slider Int (ComfyUI Deploy)"}

comfy-nodes/external_seed.py

@@ -1,116 +0,0 @@
-import random
-
-
-class ComfyUIDeployExternalSeed:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_seed"},
-                ),
-                "default_value": (
-                    "INT",
-                    {"default": -1},
-                ),
-                "min_value": (
-                    "INT",
-                    {"default": 1, "min": 1, "max": 999999999999999},
-                ),
-                "max_value": (
-                    "INT",
-                    {"default": 4294967295, "min": 1, "max": 999999999999999},
-                ),
-            },
-            "optional": {
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {
-                        "multiline": True,
-                        "default": 'For default value:\n"-1" (i.e. not in range): Randomize within the min and max value range. \nin range: Fixed, always the same value\n',
-                    },
-                ),
-            },
-        }
-
-    RETURN_TYPES = ("INT",)
-    RETURN_NAMES = ("seed",)
-    FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
-
-    # Limits
-    _MAX_LIMIT = 999_999_999_999_999  # 15 digits
-
-    # Store cached seed when fixed flag is enabled
-    _cached_seed = None
-
-    @classmethod
-    def IS_CHANGED(
-        cls,
-        input_id,
-        min_value,
-        max_value,
-        default_value=None,
-        **kwargs,
-    ):
-        """Inform ComfyUI whether the node output should be considered changed.
-
-        If default_value is within range (Fixed mode), we return the inputs tuple
-        so the cached result is reused until the user changes something.
-        For Randomize mode, we force re-execution each queue.
-        """
-        # Clamp values to allowed range for check
-        min_value = max(1, min_value)
-        max_value = min(cls._MAX_LIMIT, max_value)
-
-        # Fixed mode when default_value is within range
-        if (
-            default_value is not None
-            and default_value >= min_value
-            and default_value <= max_value
-        ):
-            return (input_id, default_value)
-
-        # For Randomize (default_value is -1 or out of range) we force re-execution
-        import random as _rnd
-
-        return _rnd.random()
-
-    def run(
-        self,
-        input_id,
-        min_value: int,
-        max_value: int,
-        display_name=None,
-        description=None,
-        default_value: int = -1,
-    ):
-        # Clamp values to allowed range
-        min_value = max(1, min_value)
-        max_value = min(self._MAX_LIMIT, max_value)
-
-        # Ensure limits are in correct order after clamping
-        if min_value > max_value:
-            min_value, max_value = max_value, min_value
-
-        # Fixed mode: default_value is within range
-        if default_value >= min_value and default_value <= max_value:
-            seed = int(default_value)
-            self._cached_seed = seed
-            return [seed]
-
-        # Randomize mode: default_value is -1 or out of range
-        seed = random.randint(min_value, max_value)
-        self._cached_seed = seed
-        return [seed]
-
-
-NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalSeed": ComfyUIDeployExternalSeed}
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "ComfyUIDeployExternalSeed": "External Seed (ComfyUI Deploy)"
-}

comfy-nodes/external_string_combine.py

@@ -18,7 +18,7 @@ class StringFunction:
 
     RETURN_TYPES = ("STRING",)
     FUNCTION = "exec"
-    CATEGORY = "🔗ComfyDeploy"
+    CATEGORY = "utils"
     OUTPUT_NODE = True
 
     def exec(self, action, tidy_tags, text_a="", text_b="", text_c=""):

comfy-nodes/external_text.py

@@ -34,7 +34,7 @@ class ComfyUIDeployExternalText:
 
     FUNCTION = "run"
 
-    CATEGORY = "🔗ComfyDeploy"
+    CATEGORY = "text"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         return [default_value]

comfy-nodes/external_text_any.py

@@ -36,7 +36,7 @@ class ComfyUIDeployExternalTextAny:
 
     FUNCTION = "run"
 
-    CATEGORY = "🔗ComfyDeploy"
+    CATEGORY = "text"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         return [default_value]

comfy-nodes/external_vid.py

@@ -36,7 +36,6 @@ class ComfyUIDeployExternalVideo:
     RETURN_NAMES = ("video")
 
     FUNCTION = "load_video"
-    CATEGORY = "🔗ComfyDeploy"
 
     def load_video(self, input_id, default_value):
         input_dir = folder_paths.get_input_directory()

comfy-nodes/external_video.py

@@ -748,64 +748,36 @@ class ComfyUIDeployExternalVideo:
                 file_parts = f.split(".")
                 if len(file_parts) > 1 and (file_parts[-1] in video_extensions):
                     files.append(f)
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": "input_video"},
-                ),
-                "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
-                "force_size": (
-                    [
-                        "Disabled",
-                        "Custom Height",
-                        "Custom Width",
-                        "Custom",
-                        "256x?",
-                        "?x256",
-                        "256x256",
-                        "512x?",
-                        "?x512",
-                        "512x512",
-                    ],
-                ),
-                "custom_width": (
-                    "INT",
-                    {"default": 512, "min": 0, "max": DIMMAX, "step": 8},
-                ),
-                "custom_height": (
-                    "INT",
-                    {"default": 512, "min": 0, "max": DIMMAX, "step": 8},
-                ),
-                "frame_load_cap": (
-                    "INT",
-                    {"default": 0, "min": 0, "max": BIGMAX, "step": 1},
-                ),
-                "skip_first_frames": (
-                    "INT",
-                    {"default": 0, "min": 0, "max": BIGMAX, "step": 1},
-                ),
-                "select_every_nth": (
-                    "INT",
-                    {"default": 1, "min": 1, "max": BIGMAX, "step": 1},
-                ),
-            },
-            "optional": {
-                "meta_batch": ("VHS_BatchManager",),
-                "vae": ("VAE",),
-                "default_video": (sorted(files),),
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": True, "default": ""},
-                ),
-                "default_value_url": ("STRING", {"image_preview": True, "default": ""}),
-            },
-            "hidden": {"unique_id": "UNIQUE_ID"},
-        }
+        return {"required": {
+                    "input_id": (
+                        "STRING",
+                        {"multiline": False, "default": "input_video"},
+                    ),
+                     "force_rate": ("INT", {"default": 0, "min": 0, "max": 60, "step": 1}),
+                     "force_size": (["Disabled", "Custom Height", "Custom Width", "Custom", "256x?", "?x256", "256x256", "512x?", "?x512", "512x512"],),
+                     "custom_width": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                     "custom_height": ("INT", {"default": 512, "min": 0, "max": DIMMAX, "step": 8}),
+                     "frame_load_cap": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                     "skip_first_frames": ("INT", {"default": 0, "min": 0, "max": BIGMAX, "step": 1}),
+                     "select_every_nth": ("INT", {"default": 1, "min": 1, "max": BIGMAX, "step": 1}),
+                     },
+                "optional": {
+                    "meta_batch": ("VHS_BatchManager",),
+                    "vae": ("VAE",),
+                    "default_video": (sorted(files),),
+                    "display_name": (
+                        "STRING",
+                        {"multiline": False, "default": ""},
+                    ),
+                    "description": (
+                        "STRING",
+                        {"multiline": True, "default": ""},
+                    ),
+                },
+                "hidden": {
+                    "unique_id": "UNIQUE_ID"
+                },
+                }
 
     CATEGORY = "Video Helper Suite 🎥🅥🅗🅢"
 
@@ -819,7 +791,6 @@ class ComfyUIDeployExternalVideo:
     )
 
     FUNCTION = "load_video"
-    CATEGORY = "🔗ComfyDeploy"
 
     def load_video(self, **kwargs):
         input_id = kwargs.get("input_id")
@@ -832,21 +803,16 @@ class ComfyUIDeployExternalVideo:
         select_every_nth = kwargs.get("select_every_nth")
         meta_batch = kwargs.get("meta_batch")
         unique_id = kwargs.get("unique_id")
-        default_value_url = kwargs.get("default_value_url")
+
 
         input_dir = folder_paths.get_input_directory()
-        if input_id.startswith("http") or (
-            default_value_url and default_value_url.startswith("http")
-        ):
+        if input_id.startswith("http"):
             import requests
 
-            # Use input_id if it's a URL, otherwise use default_value_url
-            url = input_id if input_id.startswith("http") else default_value_url
-
-            print("Fetching video from URL: ", url)
-            response = requests.get(url, stream=True)
+            print("Fetching video from URL: ", input_id)
+            response = requests.get(input_id, stream=True)
             file_size = int(response.headers.get("Content-Length", 0))
-            file_extension = url.split(".")[-1].split("?")[
+            file_extension = input_id.split(".")[-1].split("?")[
                 0
             ]  # Extract extension and handle URLs with parameters
             if file_extension not in video_extensions:

comfy-nodes/input_websocket_image.py

@@ -33,7 +33,6 @@ class ComfyDeployWebscoketImageInput:
     RETURN_NAMES = ("images",)
 
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
 
     @classmethod
     def VALIDATE_INPUTS(s, input_id):

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)"}

comfy-nodes/output_exr.py

@@ -1,78 +0,0 @@
-# In file: comfyui-deploy/comfy-nodes/output_exr.py
-
-import os
-import numpy as np
-import folder_paths
-
-# Try to set up OpenCV for EXR writing.
-try:
-    os.environ["OPENCV_IO_ENABLE_OPENEXR"] = "1"
-    import cv2
-    OPENCV_AVAILABLE = True
-except ImportError:
-    print("Warning: OpenCV not found for ComfyDeployOutputEXR. Please add opencv-python-headless to requirements.txt")
-    OPENCV_AVAILABLE = False
-
-# ALIGNED: Renamed class to match project conventions
-class ComfyDeployOutputEXR:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-        self.type = "output"
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "images": ("IMAGE", ),
-                "filename_prefix": ("STRING", {"default": "ComfyDeploy_EXR"})
-            },
-            # ADDED: Optional output_id for consistency with other ComfyDeploy nodes
-            "optional": {
-                "output_id": ("STRING", {"multiline": False, "default": "output_exr"}),
-            },
-        }
-    
-    RETURN_TYPES = ()
-    # ALIGNED: Changed function name to 'run'
-    FUNCTION = "run"
-    OUTPUT_NODE = True
-    # ALIGNED: Matched the category name
-    CATEGORY = "🔗ComfyDeploy"
-    DESCRIPTION = "Saves the input images as EXR (HDR) files."
-
-    def run(self, images, filename_prefix="ComfyDeploy_EXR", output_id="output_exr"):
-        if not OPENCV_AVAILABLE:
-            raise ImportError("OpenCV is required to save EXR files. Please ensure opencv-python-headless is in requirements.txt.")
-
-        full_output_folder, filename, counter, subfolder, filename_prefix = (
-            folder_paths.get_save_image_path(
-                filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
-            )
-        )
-        results = list()
-
-        for image in images:
-            image_np = image.cpu().numpy()
-
-            if image_np.dtype != np.float32:
-                 image_np = image_np.astype(np.float32)
-
-            file = f"{filename}_{counter:05}.exr"
-            file_path = os.path.join(full_output_folder, file)
-
-            image_np_bgr = cv2.cvtColor(image_np, cv2.COLOR_RGB2BGR)
-            cv2.imwrite(file_path, image_np_bgr)
-
-            results.append({
-                "filename": file,
-                "subfolder": subfolder,
-                "type": self.type,
-                "output_id": output_id, # ADDED
-            })
-            counter += 1
-
-        return {"ui": {"images": results}}
-
-# ALIGNED: Mappings are defined at the bottom of the node file in this project
-NODE_CLASS_MAPPINGS = {"ComfyDeployOutputEXR": ComfyDeployOutputEXR}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployOutputEXR": "EXR Output (ComfyDeploy)"}

comfy-nodes/output_image.py

@@ -1,101 +0,0 @@
-import os
-import json
-import numpy as np
-from PIL import Image
-from PIL.PngImagePlugin import PngInfo
-import folder_paths
-
-
-class ComfyDeployOutputImage:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-        self.type = "output"
-        self.prefix_append = ""
-        self.compress_level = 4
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "images": ("IMAGE", {"tooltip": "The images to save."}),
-                "filename_prefix": (
-                    "STRING",
-                    {
-                        "default": "ComfyUI",
-                        "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes.",
-                    },
-                ),
-                "file_type": (["png", "jpg", "webp"], {"default": "webp"}),
-                "quality": ("INT", {"default": 80, "min": 1, "max": 100, "step": 1}),
-            },
-            "optional": {
-                "output_id": (
-                    "STRING",
-                    {"multiline": False, "default": "output_images"},
-                ),
-            },
-            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
-        }
-
-    RETURN_TYPES = ()
-    FUNCTION = "run"
-
-    OUTPUT_NODE = True
-    CATEGORY = "🔗ComfyDeploy"
-    DESCRIPTION = "Saves the input images to your ComfyUI output directory."
-
-    def run(
-        self,
-        images,
-        filename_prefix="ComfyUI",
-        file_type="png",
-        quality=80,
-        output_id="output_images",
-        prompt=None,
-        extra_pnginfo=None,
-    ):
-        filename_prefix += self.prefix_append
-        full_output_folder, filename, counter, subfolder, filename_prefix = (
-            folder_paths.get_save_image_path(
-                filename_prefix, self.output_dir, images[0].shape[1], images[0].shape[0]
-            )
-        )
-        results = list()
-        for batch_number, image in enumerate(images):
-            i = 255.0 * image.cpu().numpy()
-            img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
-            metadata = PngInfo()
-            if prompt is not None:
-                metadata.add_text("prompt", json.dumps(prompt))
-            if extra_pnginfo is not None:
-                for x in extra_pnginfo:
-                    metadata.add_text(x, json.dumps(extra_pnginfo[x]))
-
-            filename_with_batch_num = filename.replace("%batch_num%", str(batch_number))
-            file = f"{filename_with_batch_num}_{counter:05}_.{file_type}"
-            file_path = os.path.join(full_output_folder, file)
-
-            if file_type == "png":
-                img.save(
-                    file_path, pnginfo=metadata, compress_level=self.compress_level
-                )
-            elif file_type == "jpg":
-                img.save(file_path, quality=quality, optimize=True)
-            elif file_type == "webp":
-                img.save(file_path, quality=quality)
-
-            results.append(
-                {
-                    "filename": file,
-                    "subfolder": subfolder,
-                    "type": self.type,
-                    "output_id": output_id,
-                }
-            )
-            counter += 1
-
-        return {"ui": {"images": results}}
-
-
-NODE_CLASS_MAPPINGS = {"ComfyDeployOutputImage": ComfyDeployOutputImage}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployOutputImage": "Image Output (ComfyDeploy)"}

comfy-nodes/output_text.py

@@ -1,99 +0,0 @@
-import os
-import json
-import folder_paths
-
-
-class ComfyDeployOutputText:
-    def __init__(self):
-        self.output_dir = folder_paths.get_output_directory()
-        self.type = "output"
-        self.prefix_append = ""
-
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "text": (
-                    "STRING",
-                    {
-                        "multiline": True,
-                        "forceInput": True,
-                        "tooltip": "The text to save.",
-                    },
-                ),
-                "filename_prefix": (
-                    "STRING",
-                    {
-                        "default": "ComfyUI",
-                        "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% to include values from nodes.",
-                    },
-                ),
-                "file_type": (["txt", "json", "md"], {"default": "txt"}),
-            },
-            "optional": {
-                "output_id": (
-                    "STRING",
-                    {"multiline": False, "default": "output_text"},
-                ),
-            },
-            "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
-        }
-
-    RETURN_TYPES = ()
-    FUNCTION = "run"
-
-    OUTPUT_NODE = True
-    CATEGORY = "🔗ComfyDeploy"
-    DESCRIPTION = "Saves the input text to your ComfyUI output directory."
-
-    def run(
-        self,
-        text,
-        filename_prefix="ComfyUI",
-        file_type="txt",
-        output_id="output_text",
-        prompt=None,
-        extra_pnginfo=None,
-    ):
-        filename_prefix += self.prefix_append
-        # For text, we don't need dimensions, so pass 0, 0
-        full_output_folder, filename, counter, subfolder, filename_prefix = (
-            folder_paths.get_save_image_path(filename_prefix, self.output_dir, 0, 0)
-        )
-
-        results = list()
-
-        # Create file path
-        file = f"{filename}_{counter:05}_.{file_type}"
-        file_path = os.path.join(full_output_folder, file)
-
-        # Save the text based on file type
-        if file_type == "json":
-            try:
-                # Try to save as JSON if the text is valid JSON
-                json_data = json.loads(text) if isinstance(text, str) else text
-                with open(file_path, "w", encoding="utf-8") as f:
-                    json.dump(json_data, f, indent=2)
-            except json.JSONDecodeError:
-                # Fall back to saving as plain text if not valid JSON
-                with open(file_path, "w", encoding="utf-8") as f:
-                    f.write(text)
-        else:
-            # Save as plain text for txt and md
-            with open(file_path, "w", encoding="utf-8") as f:
-                f.write(text)
-
-        results.append(
-            {
-                "filename": file,
-                "subfolder": subfolder,
-                "type": self.type,
-                "output_id": output_id,
-            }
-        )
-
-        return {"ui": {"text_file": results}}
-
-
-NODE_CLASS_MAPPINGS = {"ComfyDeployOutputText": ComfyDeployOutputText}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployOutputText": "Text Output (ComfyDeploy)"}

comfy-nodes/output_websocket_image.py

@@ -33,8 +33,10 @@ class ComfyDeployWebscoketImageOutput:
 
     RETURN_TYPES = ()
     RETURN_NAMES = ("text",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "output"
     
     @classmethod
     def VALIDATE_INPUTS(s, output_id):

example_workflows/lora-model.json

@@ -1,152 +0,0 @@
-{
-  "id": "ed93ac94-4f26-4ed3-a57b-73cd8f4d3494",
-  "revision": 0,
-  "last_node_id": 5,
-  "last_link_id": 1,
-  "nodes": [
-    {
-      "id": 2,
-      "type": "LoraLoader",
-      "pos": [
-        736.646728515625,
-        628.3823852539062
-      ],
-      "size": [
-        315,
-        126
-      ],
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "model",
-          "type": "MODEL",
-          "link": null
-        },
-        {
-          "name": "clip",
-          "type": "CLIP",
-          "link": null
-        },
-        {
-          "name": "lora_name",
-          "type": "COMBO",
-          "widget": {
-            "name": "lora_name"
-          },
-          "link": 1
-        }
-      ],
-      "outputs": [
-        {
-          "name": "MODEL",
-          "type": "MODEL",
-          "links": null
-        },
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": null
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "LoraLoader"
-      },
-      "widgets_values": [
-        "1-292.safetensors",
-        1,
-        1
-      ]
-    },
-    {
-      "id": 1,
-      "type": "ComfyUIDeployExternalLora",
-      "pos": [
-        299.6898498535156,
-        624.7929077148438
-      ],
-      "size": [
-        400,
-        208
-      ],
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "path",
-          "type": "*",
-          "links": [
-            1
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfyui-deploy",
-        "ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
-        "Node name for S&R": "ComfyUIDeployExternalLora"
-      },
-      "widgets_values": [
-        "input_lora",
-        "HyperSD\\FLUX.1\\Hyper-FLUX.1-dev-16steps-lora.safetensors",
-        "",
-        "",
-        "",
-        ""
-      ]
-    },
-    {
-      "id": 5,
-      "type": "Note",
-      "pos": [
-        302.09033203125,
-        401.2951965332031
-      ],
-      "size": [
-        479.4894104003906,
-        161.61924743652344
-      ],
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "\"External Lora\" node will let you to use different loras from the Comfy Deploy UI or even via API.\n\n- lora_url:\n  url that will be used to download your LoRA model in execution time\n\n- lora_save_name:\n  when we download your model, this will be saved in your private storage, \n  give it a good name :D"
-      ],
-      "color": "#432",
-      "bgcolor": "#653"
-    }
-  ],
-  "links": [
-    [
-      1,
-      1,
-      0,
-      2,
-      2,
-      "COMBO"
-    ]
-  ],
-  "groups": [],
-  "config": {},
-  "extra": {
-    "ds": {
-      "scale": 1.167184107045006,
-      "offset": [
-        298.431389807788,
-        -207.58877445762934
-      ]
-    },
-    "VHS_latentpreview": false,
-    "VHS_latentpreviewrate": 0,
-    "VHS_MetadataImage": true,
-    "VHS_KeepIntermediate": true
-  },
-  "version": 0.4
-}

example_workflows/masks.json

@@ -1,873 +0,0 @@
-{
-  "id": "351f402b-62f2-4f62-8a5e-0b9d3510e8f9",
-  "revision": 0,
-  "last_node_id": 29,
-  "last_link_id": 28,
-  "nodes": [
-    {
-      "id": 11,
-      "type": "JoinImageWithAlpha",
-      "pos": [
-        814.478271484375,
-        419.3052062988281
-      ],
-      "size": [
-        264.5999755859375,
-        46
-      ],
-      "flags": {},
-      "order": 5,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 10
-        },
-        {
-          "name": "alpha",
-          "type": "MASK",
-          "link": 12
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            11
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "JoinImageWithAlpha"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 15,
-      "type": "PreviewImage",
-      "pos": [
-        1950,
-        640
-      ],
-      "size": [
-        210,
-        246
-      ],
-      "flags": {},
-      "order": 18,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 16
-        }
-      ],
-      "outputs": [],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 10,
-      "type": "LoadImage",
-      "pos": [
-        467.8168640136719,
-        422.453857421875
-      ],
-      "size": [
-        315,
-        314
-      ],
-      "flags": {},
-      "order": 0,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            10
-          ]
-        },
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": [
-            12
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "LoadImage"
-      },
-      "widgets_values": [
-        "Bob-Minion-Background-PNG-Image.png",
-        "image",
-        ""
-      ]
-    },
-    {
-      "id": 18,
-      "type": "Note",
-      "pos": [
-        460.8001708984375,
-        263.64251708984375
-      ],
-      "size": [
-        379.4292297363281,
-        88
-      ],
-      "flags": {},
-      "order": 1,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "Option 1: CREATE THE MASK FROM THE ALPHA CHANNEL (Useful for example to generate the background of an image)\n\nMake sure that you are using \"External Image Alpha\". \n"
-      ],
-      "color": "#432",
-      "bgcolor": "#653"
-    },
-    {
-      "id": 21,
-      "type": "LoadImage",
-      "pos": [
-        469.57025146484375,
-        1506.3018798828125
-      ],
-      "size": [
-        315,
-        314
-      ],
-      "flags": {},
-      "order": 2,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            18
-          ]
-        },
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": null
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "LoadImage"
-      },
-      "widgets_values": [
-        "ComfyUI_temp_otmos_00005_.png",
-        "image",
-        ""
-      ]
-    },
-    {
-      "id": 25,
-      "type": "MaskToImage",
-      "pos": [
-        1283.1668701171875,
-        1579.603271484375
-      ],
-      "size": [
-        176.39999389648438,
-        26
-      ],
-      "flags": {},
-      "order": 13,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "mask",
-          "type": "MASK",
-          "link": 28
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            21
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "MaskToImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 13,
-      "type": "SplitImageWithAlpha",
-      "pos": [
-        1602.5518798828125,
-        417.59869384765625
-      ],
-      "size": [
-        277.20001220703125,
-        46
-      ],
-      "flags": {},
-      "order": 11,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 13
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            14,
-            25
-          ]
-        },
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": [
-            15,
-            26
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "SplitImageWithAlpha"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 29,
-      "type": "VAEEncodeForInpaint",
-      "pos": [
-        2220.89453125,
-        401.0885009765625
-      ],
-      "size": [
-        340.20001220703125,
-        98
-      ],
-      "flags": {},
-      "order": 16,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pixels",
-          "type": "IMAGE",
-          "link": 25
-        },
-        {
-          "name": "vae",
-          "type": "VAE",
-          "link": null
-        },
-        {
-          "name": "mask",
-          "type": "MASK",
-          "link": 26
-        }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": null
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "VAEEncodeForInpaint"
-      },
-      "widgets_values": [
-        6
-      ]
-    },
-    {
-      "id": 14,
-      "type": "PreviewImage",
-      "pos": [
-        1950,
-        350
-      ],
-      "size": [
-        210,
-        246
-      ],
-      "flags": {},
-      "order": 14,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 14
-        }
-      ],
-      "outputs": [],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 17,
-      "type": "MaskToImage",
-      "pos": [
-        1752.33203125,
-        572.061767578125
-      ],
-      "size": [
-        176.39999389648438,
-        26
-      ],
-      "flags": {},
-      "order": 15,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "mask",
-          "type": "MASK",
-          "link": 15
-        }
-      ],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            16
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "MaskToImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 27,
-      "type": "PreviewImage",
-      "pos": [
-        1329.2960205078125,
-        1132.759765625
-      ],
-      "size": [
-        210,
-        246
-      ],
-      "flags": {},
-      "order": 10,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 22
-        }
-      ],
-      "outputs": [],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 20,
-      "type": "LoadImage",
-      "pos": [
-        468.1963806152344,
-        1128.9498291015625
-      ],
-      "size": [
-        315,
-        314
-      ],
-      "flags": {},
-      "order": 3,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "IMAGE",
-          "type": "IMAGE",
-          "links": [
-            17
-          ]
-        },
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": []
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "LoadImage"
-      },
-      "widgets_values": [
-        "clipspace/clipspace-mask-1126817.300000012.png [input]",
-        "image",
-        ""
-      ]
-    },
-    {
-      "id": 24,
-      "type": "ImageToMask",
-      "pos": [
-        1255.560302734375,
-        1468.347900390625
-      ],
-      "size": [
-        315,
-        58
-      ],
-      "flags": {},
-      "order": 9,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "link": 19
-        }
-      ],
-      "outputs": [
-        {
-          "name": "MASK",
-          "type": "MASK",
-          "links": [
-            24,
-            28
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "ImageToMask"
-      },
-      "widgets_values": [
-        "red"
-      ]
-    },
-    {
-      "id": 26,
-      "type": "PreviewImage",
-      "pos": [
-        1488.1925048828125,
-        1579.146728515625
-      ],
-      "size": [
-        210,
-        246
-      ],
-      "flags": {},
-      "order": 17,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "images",
-          "type": "IMAGE",
-          "link": 21
-        }
-      ],
-      "outputs": [],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage"
-      },
-      "widgets_values": []
-    },
-    {
-      "id": 28,
-      "type": "VAEEncodeForInpaint",
-      "pos": [
-        1637.603271484375,
-        1182.81298828125
-      ],
-      "size": [
-        340.20001220703125,
-        98
-      ],
-      "flags": {},
-      "order": 12,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "pixels",
-          "type": "IMAGE",
-          "link": 23
-        },
-        {
-          "name": "vae",
-          "type": "VAE",
-          "link": null
-        },
-        {
-          "name": "mask",
-          "type": "MASK",
-          "link": 24
-        }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": null
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "VAEEncodeForInpaint"
-      },
-      "widgets_values": [
-        6
-      ]
-    },
-    {
-      "id": 19,
-      "type": "Note",
-      "pos": [
-        467.4615173339844,
-        985.1439819335938
-      ],
-      "size": [
-        379.4292297363281,
-        88
-      ],
-      "flags": {},
-      "order": 4,
-      "mode": 0,
-      "inputs": [],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "Option 2: UPLOAD THE MASK AS OTHER IMAGE (useful if you require the image that is below the mask to do inpainting, in this case to generate new glasses)"
-      ],
-      "color": "#432",
-      "bgcolor": "#653"
-    },
-    {
-      "id": 22,
-      "type": "ComfyUIDeployExternalImage",
-      "pos": [
-        910.8199462890625,
-        1132.306396484375
-      ],
-      "size": [
-        390.5999755859375,
-        154
-      ],
-      "flags": {},
-      "order": 7,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "default_value",
-          "shape": 7,
-          "type": "IMAGE",
-          "link": 17
-        }
-      ],
-      "outputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "links": [
-            22,
-            23
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfyui-deploy",
-        "ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
-        "Node name for S&R": "ComfyUIDeployExternalImage"
-      },
-      "widgets_values": [
-        "input_image",
-        "",
-        "",
-        "",
-        ""
-      ]
-    },
-    {
-      "id": 23,
-      "type": "ComfyUIDeployExternalImage",
-      "pos": [
-        843.6348876953125,
-        1467.8876953125
-      ],
-      "size": [
-        390.5999755859375,
-        154
-      ],
-      "flags": {},
-      "order": 6,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "default_value",
-          "shape": 7,
-          "type": "IMAGE",
-          "link": 18
-        }
-      ],
-      "outputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "links": [
-            19
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfyui-deploy",
-        "ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
-        "Node name for S&R": "ComfyUIDeployExternalImage"
-      },
-      "widgets_values": [
-        "input_image_mask",
-        "",
-        "",
-        "",
-        ""
-      ]
-    },
-    {
-      "id": 12,
-      "type": "ComfyUIDeployExternalImageAlpha",
-      "pos": [
-        1107.891357421875,
-        418.2679138183594
-      ],
-      "size": [
-        466.1999816894531,
-        200
-      ],
-      "flags": {},
-      "order": 8,
-      "mode": 0,
-      "inputs": [
-        {
-          "name": "default_value",
-          "shape": 7,
-          "type": "IMAGE",
-          "link": 11
-        }
-      ],
-      "outputs": [
-        {
-          "name": "image",
-          "type": "IMAGE",
-          "links": [
-            13
-          ]
-        }
-      ],
-      "properties": {
-        "cnr_id": "comfyui-deploy",
-        "ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
-        "Node name for S&R": "ComfyUIDeployExternalImageAlpha"
-      },
-      "widgets_values": [
-        "input_image_alpha",
-        "",
-        ""
-      ]
-    }
-  ],
-  "links": [
-    [
-      10,
-      10,
-      0,
-      11,
-      0,
-      "IMAGE"
-    ],
-    [
-      11,
-      11,
-      0,
-      12,
-      0,
-      "IMAGE"
-    ],
-    [
-      12,
-      10,
-      1,
-      11,
-      1,
-      "MASK"
-    ],
-    [
-      13,
-      12,
-      0,
-      13,
-      0,
-      "IMAGE"
-    ],
-    [
-      14,
-      13,
-      0,
-      14,
-      0,
-      "IMAGE"
-    ],
-    [
-      15,
-      13,
-      1,
-      17,
-      0,
-      "MASK"
-    ],
-    [
-      16,
-      17,
-      0,
-      15,
-      0,
-      "IMAGE"
-    ],
-    [
-      17,
-      20,
-      0,
-      22,
-      0,
-      "IMAGE"
-    ],
-    [
-      18,
-      21,
-      0,
-      23,
-      0,
-      "IMAGE"
-    ],
-    [
-      19,
-      23,
-      0,
-      24,
-      0,
-      "IMAGE"
-    ],
-    [
-      21,
-      25,
-      0,
-      26,
-      0,
-      "IMAGE"
-    ],
-    [
-      22,
-      22,
-      0,
-      27,
-      0,
-      "IMAGE"
-    ],
-    [
-      23,
-      22,
-      0,
-      28,
-      0,
-      "IMAGE"
-    ],
-    [
-      24,
-      24,
-      0,
-      28,
-      2,
-      "MASK"
-    ],
-    [
-      25,
-      13,
-      0,
-      29,
-      0,
-      "IMAGE"
-    ],
-    [
-      26,
-      13,
-      1,
-      29,
-      2,
-      "MASK"
-    ],
-    [
-      28,
-      24,
-      0,
-      25,
-      0,
-      "MASK"
-    ]
-  ],
-  "groups": [],
-  "config": {},
-  "extra": {
-    "ds": {
-      "scale": 0.9646149645000013,
-      "offset": [
-        48.66905973637718,
-        -817.5683540167485
-      ]
-    },
-    "VHS_latentpreview": false,
-    "VHS_latentpreviewrate": 0,
-    "VHS_MetadataImage": true,
-    "VHS_KeepIntermediate": true
-  },
-  "version": 0.4
-}

examples/flux-dev.json

@@ -1,359 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.6010518407212623,
-      "offset": [815.5938895649746, 84.94304700477853]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.19",
-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
-    }
-  },
-  "links": [
-    [9, 8, 0, 9, 0, "IMAGE"],
-    [45, 30, 1, 6, 0, "CLIP"],
-    [46, 30, 2, 8, 1, "VAE"],
-    [47, 30, 0, 31, 0, "MODEL"],
-    [51, 27, 0, 31, 3, "LATENT"],
-    [52, 31, 0, 8, 0, "LATENT"],
-    [54, 30, 1, 33, 0, "CLIP"],
-    [55, 33, 0, 31, 2, "CONDITIONING"],
-    [56, 6, 0, 35, 0, "CONDITIONING"],
-    [57, 35, 0, 31, 1, "CONDITIONING"],
-    [58, 38, 0, 6, 1, "STRING"],
-    [59, 40, 0, 27, 0, "INT"],
-    [60, 39, 0, 27, 1, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 6,
-      "pos": [384, 192],
-      "mode": 0,
-      "size": [422.8500061035156, 164.30999755859375],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 7,
-      "title": "CLIP Text Encode (Positive Prompt)",
-      "inputs": [
-        { "link": 45, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 58,
-          "name": "text",
-          "type": "STRING",
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examples/flux-schnell.json

@@ -1,423 +0,0 @@
-{
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-    [24, 13, 0, 8, 0, "LATENT"],
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-    [37, 25, 0, 13, 0, "NOISE"],
-    [38, 12, 0, 17, 0, "MODEL"],
-    [39, 12, 0, 22, 0, "MODEL"],
-    [40, 6, 0, 22, 1, "CONDITIONING"],
-    [41, 28, 0, 6, 1, "STRING"],
-    [44, 29, 0, 5, 0, "INT"],
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-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 1024, "Width", "The width of the image."]
-    },
-    {
-      "id": 30,
-      "pos": [-670.0703735351562, 848.3707885742188],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 9,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [45], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 1024, "Height", "The height of the image."]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
-        -652.184326171875, 99.11231994628906, 565.7923583984375,
-        362.8800354003906
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#A88",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -720.3274536132812, 508.1206970214844, 703.0422973632812,
-        576.5584716796875
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-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 45,
-  "last_node_id": 30
-}

examples/hunyuan-video.json

@@ -1,482 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.6830134553650709,
-      "offset": [1030.9627343190857, 159.73178253107423]
-    },
-    "groupNodes": {},
-    "node_versions": {
-      "comfy-core": "0.3.12",
-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
-    }
-  },
-  "links": [
-    [19, 16, 0, 13, 2, "SAMPLER"],
-    [20, 17, 0, 13, 3, "SIGMAS"],
-    [30, 22, 0, 13, 1, "GUIDER"],
-    [37, 25, 0, 13, 0, "NOISE"],
-    [129, 26, 0, 22, 1, "CONDITIONING"],
-    [175, 44, 0, 26, 0, "CONDITIONING"],
-    [180, 45, 0, 13, 4, "LATENT"],
-    [181, 13, 0, 8, 0, "LATENT"],
-    [190, 12, 0, 17, 0, "MODEL"],
-    [195, 67, 0, 22, 0, "MODEL"],
-    [205, 11, 0, 44, 0, "CLIP"],
-    [206, 10, 0, 8, 1, "VAE"],
-    [209, 12, 0, 67, 0, "MODEL"],
-    [210, 13, 0, 73, 0, "LATENT"],
-    [211, 10, 0, 73, 1, "VAE"],
-    [215, 73, 0, 75, 0, "IMAGE"],
-    [216, 78, 0, 44, 1, "STRING"],
-    [217, 79, 0, 45, 0, "INT"],
-    [218, 83, 0, 45, 1, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 16,
-      "pos": [484, 751],
-      "mode": 0,
-      "size": [315, 58],
-      "type": "KSamplerSelect",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "SAMPLER", "type": "SAMPLER", "links": [19], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "KSamplerSelect" },
-      "widgets_values": ["euler"]
-    },
-    {
-      "id": 17,
-      "pos": [478, 860],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "BasicScheduler",
-      "flags": {},
-      "order": 10,
-      "inputs": [
-        { "link": 190, "name": "model", "type": "MODEL", "slot_index": 0 }
-      ],
-      "outputs": [
-        { "name": "SIGMAS", "type": "SIGMAS", "links": [20], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "BasicScheduler" },
-      "widgets_values": ["simple", 20, 1]
-    },
-    {
-      "id": 26,
-      "pos": [520, 100],
-      "mode": 0,
-      "size": [317.4000244140625, 58],
-      "type": "FluxGuidance",
-      "color": "#233",
-      "flags": {},
-      "order": 14,
-      "inputs": [
-        { "link": 175, "name": "conditioning", "type": "CONDITIONING" }
-      ],
-      "bgcolor": "#355",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [129],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "FluxGuidance" },
-      "widgets_values": [6]
-    },
-    {
-      "id": 45,
-      "pos": [475.540771484375, 432.673583984375],
-      "mode": 0,
-      "size": [315, 130],
-      "type": "EmptyHunyuanLatentVideo",
-      "flags": {},
-      "order": 13,
-      "inputs": [
-        {
-          "link": 217,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "link": 218,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [180], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "EmptyHunyuanLatentVideo" },
-      "widgets_values": [848, 480, 73, 1]
-    },
-    {
-      "id": 22,
-      "pos": [600, 0],
-      "mode": 0,
-      "size": [222.3482666015625, 46],
-      "type": "BasicGuider",
-      "flags": {},
-      "order": 15,
-      "inputs": [
-        { "link": 195, "name": "model", "type": "MODEL", "slot_index": 0 },
-        {
-          "link": 129,
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "slot_index": 1
-        }
-      ],
-      "outputs": [
-        {
-          "name": "GUIDER",
-          "type": "GUIDER",
-          "links": [30],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "BasicGuider" },
-      "widgets_values": []
-    },
-    {
-      "id": 67,
-      "pos": [360, 0],
-      "mode": 0,
-      "size": [210, 58],
-      "type": "ModelSamplingSD3",
-      "flags": {},
-      "order": 11,
-      "inputs": [{ "link": 209, "name": "model", "type": "MODEL" }],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [195], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ModelSamplingSD3" },
-      "widgets_values": [7]
-    },
-    {
-      "id": 73,
-      "pos": [1150, 200],
-      "mode": 0,
-      "size": [210, 150],
-      "type": "VAEDecodeTiled",
-      "flags": {},
-      "order": 18,
-      "inputs": [
-        { "link": 210, "name": "samples", "type": "LATENT" },
-        { "link": 211, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [215], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecodeTiled" },
-      "widgets_values": [256, 64, 64, 8]
-    },
-    {
-      "id": 8,
-      "pos": [1150, 90],
-      "mode": 2,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 17,
-      "inputs": [
-        { "link": 181, "name": "samples", "type": "LATENT" },
-        { "link": 206, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 77,
-      "pos": [0, 0],
-      "mode": 0,
-      "size": [350, 110],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "Select a fp8 weight_dtype if you are running out of  memory."
-      ]
-    },
-    {
-      "id": 13,
-      "pos": [860, 200],
-      "mode": 0,
-      "size": [272.3617858886719, 124.53733825683594],
-      "type": "SamplerCustomAdvanced",
-      "flags": {},
-      "order": 16,
-      "inputs": [
-        { "link": 37, "name": "noise", "type": "NOISE", "slot_index": 0 },
-        { "link": 30, "name": "guider", "type": "GUIDER", "slot_index": 1 },
-        { "link": 19, "name": "sampler", "type": "SAMPLER", "slot_index": 2 },
-        { "link": 20, "name": "sigmas", "type": "SIGMAS", "slot_index": 3 },
-        {
-          "link": 180,
-          "name": "latent_image",
-          "type": "LATENT",
-          "slot_index": 4
-        }
-      ],
-      "outputs": [
-        {
-          "name": "output",
-          "type": "LATENT",
-          "links": [181, 210],
-          "shape": 3,
-          "slot_index": 0
-        },
-        {
-          "name": "denoised_output",
-          "type": "LATENT",
-          "links": null,
-          "shape": 3
-        }
-      ],
-      "properties": { "Node name for S&R": "SamplerCustomAdvanced" },
-      "widgets_values": []
-    },
-    {
-      "id": 75,
-      "pos": [1410, 200],
-      "mode": 0,
-      "size": [315, 366],
-      "type": "SaveAnimatedWEBP",
-      "flags": {},
-      "order": 19,
-      "inputs": [{ "link": 215, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI", 24, false, 80, "default"]
-    },
-    {
-      "id": 25,
-      "pos": [479, 618],
-      "mode": 0,
-      "size": [315, 82],
-      "type": "RandomNoise",
-      "color": "#2a363b",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "bgcolor": "#3f5159",
-      "outputs": [
-        { "name": "NOISE", "type": "NOISE", "links": [37], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "RandomNoise" },
-      "widgets_values": [1, "randomize"]
-    },
-    {
-      "id": 12,
-      "pos": [0, 150],
-      "mode": 0,
-      "size": [350, 82],
-      "type": "UNETLoader",
-      "color": "#223",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "bgcolor": "#335",
-      "outputs": [
-        {
-          "name": "MODEL",
-          "type": "MODEL",
-          "links": [190, 209],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["hunyuan_video_t2v_720p_bf16.safetensors", "default"]
-    },
-    {
-      "id": 10,
-      "pos": [0, 420],
-      "mode": 0,
-      "size": [350, 60],
-      "type": "VAELoader",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "VAE",
-          "type": "VAE",
-          "links": [206, 211],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "VAELoader" },
-      "widgets_values": ["hunyuan_video_vae_bf16.safetensors"]
-    },
-    {
-      "id": 11,
-      "pos": [0, 270],
-      "mode": 0,
-      "size": [350, 106],
-      "type": "DualCLIPLoader",
-      "flags": {},
-      "order": 5,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [205],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "DualCLIPLoader" },
-      "widgets_values": [
-        "clip_l.safetensors",
-        "llava_llama3_fp8_scaled.safetensors",
-        "hunyuan_video",
-        "default"
-      ]
-    },
-    {
-      "id": 44,
-      "pos": [459.0518798828125, 226.60147094726562],
-      "mode": 0,
-      "size": [285.6000061035156, 54],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 12,
-      "title": "CLIP Text Encode (Positive Prompt)",
-      "inputs": [
-        { "link": 205, "name": "clip", "type": "CLIP" },
-        {
-          "link": 216,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [175],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "anime style anime girl with massive fennec ears and one big fluffy tail, she has blonde hair long hair blue eyes wearing a pink sweater and a long blue skirt walking in a beautiful outdoor scenery with snow mountains in the background"
-      ]
-    },
-    {
-      "id": 83,
-      "pos": [-591.1870727539062, 751.6737670898438],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 6,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [218], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 480, "Height", "The height of the video."]
-    },
-    {
-      "id": 74,
-      "pos": [1151.89599609375, 402.439697265625],
-      "mode": 0,
-      "size": [210, 170],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "Use the tiled decode node by default because most people will need it.\n\nLower the tile_size and overlap if you run out of memory."
-      ]
-    },
-    {
-      "id": 78,
-      "pos": [-560.058837890625, 155.3986358642578],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 8,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [216] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "prompt",
-        "anime style anime girl with massive fennec ears and one big fluffy tail, she has blonde hair long hair blue eyes wearing a pink sweater and a long blue skirt walking in a beautiful outdoor scenery with snow mountains in the background",
-        "Prompt",
-        "The prompt to generate the video from."
-      ]
-    },
-    {
-      "id": 79,
-      "pos": [-588.2138061523438, 493.3861389160156],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 9,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [217], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 848, "Width", "The width of the video."]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
-        -662.9779052734375, 14.93773078918457, 575.2218627929688,
-        384.41424560546875
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#b06634",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -659.7621459960938, 414.3213195800781, 570.7182006835938,
-        594.72216796875
-      ],
-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 218,
-  "last_node_id": 83
-}

examples/stable-diffusion-v15.json

@@ -1,240 +0,0 @@
-{
-  "extra": {
-    "ds": { "scale": 1, "offset": { "0": 0, "1": 0 } },
-    "node_versions": {
-      "comfy-core": "0.3.12",
-      "comfyui-deploy": "171a227856bd5f31e97828d89f83f3741004d05e"
-    }
-  },
-  "links": [
-    [1, 4, 0, 3, 0, "MODEL"],
-    [2, 5, 0, 3, 3, "LATENT"],
-    [3, 4, 1, 6, 0, "CLIP"],
-    [4, 6, 0, 3, 1, "CONDITIONING"],
-    [5, 4, 1, 7, 0, "CLIP"],
-    [6, 7, 0, 3, 2, "CONDITIONING"],
-    [7, 3, 0, 8, 0, "LATENT"],
-    [8, 4, 2, 8, 1, "VAE"],
-    [9, 8, 0, 9, 0, "IMAGE"],
-    [10, 12, 0, 6, 1, "STRING"],
-    [11, 13, 0, 7, 1, "STRING"]
-  ],
-  "nodes": [
-    {
-      "id": 5,
-      "pos": [473, 609],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "EmptyLatentImage",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [2], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "EmptyLatentImage" },
-      "widgets_values": [512, 512, 1]
-    },
-    {
-      "id": 3,
-      "pos": [863, 186],
-      "mode": 0,
-      "size": [315, 262],
-      "type": "KSampler",
-      "flags": {},
-      "order": 7,
-      "inputs": [
-        { "link": 1, "name": "model", "type": "MODEL" },
-        { "link": 4, "name": "positive", "type": "CONDITIONING" },
-        { "link": 6, "name": "negative", "type": "CONDITIONING" },
-        { "link": 2, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        156680208700286,
-        "randomize",
-        20,
-        8,
-        "euler",
-        "normal",
-        1
-      ]
-    },
-    {
-      "id": 8,
-      "pos": [1209, 188],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 8,
-      "inputs": [
-        { "link": 7, "name": "samples", "type": "LATENT" },
-        { "link": 8, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 9,
-      "pos": [1451, 189],
-      "mode": 0,
-      "size": [210, 58],
-      "type": "SaveImage",
-      "flags": {},
-      "order": 9,
-      "inputs": [{ "link": 9, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI"]
-    },
-    {
-      "id": 4,
-      "pos": [26, 474],
-      "mode": 0,
-      "size": [315, 98],
-      "type": "CheckpointLoaderSimple",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [1], "slot_index": 0 },
-        { "name": "CLIP", "type": "CLIP", "links": [3, 5], "slot_index": 1 },
-        { "name": "VAE", "type": "VAE", "links": [8], "slot_index": 2 }
-      ],
-      "properties": { "Node name for S&R": "CheckpointLoaderSimple" },
-      "widgets_values": ["v1-5-pruned-emaonly.ckpt"]
-    },
-    {
-      "id": 6,
-      "pos": [415, 186],
-      "mode": 0,
-      "size": [422.84503173828125, 164.31304931640625],
-      "type": "CLIPTextEncode",
-      "flags": {},
-      "order": 6,
-      "inputs": [
-        { "link": 3, "name": "clip", "type": "CLIP" },
-        {
-          "link": 10,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [4],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,"
-      ]
-    },
-    {
-      "id": 7,
-      "pos": [413, 389],
-      "mode": 0,
-      "size": [425.27801513671875, 180.6060791015625],
-      "type": "CLIPTextEncode",
-      "flags": {},
-      "order": 5,
-      "inputs": [
-        { "link": 5, "name": "clip", "type": "CLIP" },
-        {
-          "link": 11,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [6],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": ["text, watermark"]
-    },
-    {
-      "id": 13,
-      "pos": [-70, -60],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "text",
-          "type": "STRING",
-          "links": [11],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": ["negative_prompt", "text, watermark", "", ""]
-    },
-    {
-      "id": 12,
-      "pos": [-72, 193],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "text",
-          "type": "STRING",
-          "links": [10],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "positive_prompt",
-        "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
-        "",
-        ""
-      ]
-    },
-    {
-      "id": 14,
-      "pos": [419, 23],
-      "mode": 0,
-      "size": [210, 96],
-      "type": "ComfyDeploy",
-      "color": "#432",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "version": "", "workflow_id": "", "workflow_name": "" },
-      "widgets_values": ["", "", "1"]
-    }
-  ],
-  "config": {},
-  "groups": [],
-  "version": 0.4,
-  "last_link_id": 11,
-  "last_node_id": 14
-}

examples/stable-diffusion-v35-large.json

@@ -1,409 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.620921323059155,
-      "offset": [1535.1422819333457, 285.0502099350181]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.12",
-      "comfyui-deploy": "171a227856bd5f31e97828d89f83f3741004d05e"
-    }
-  },
-  "links": [
-    [7, 3, 0, 8, 0, "LATENT"],
-    [21, 16, 0, 3, 1, "CONDITIONING"],
-    [51, 8, 0, 9, 0, "IMAGE"],
-    [53, 4, 2, 8, 1, "VAE"],
-    [80, 40, 0, 3, 2, "CONDITIONING"],
-    [99, 4, 0, 3, 0, "MODEL"],
-    [100, 53, 0, 3, 3, "LATENT"],
-    [103, 43, 0, 16, 0, "CLIP"],
-    [104, 43, 0, 40, 0, "CLIP"],
-    [105, 54, 0, 16, 1, "STRING"],
-    [106, 55, 0, 40, 1, "STRING"],
-    [107, 56, 0, 53, 0, "INT"],
-    [108, 57, 0, 53, 1, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 8,
-      "pos": [1200, 96],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 14,
-      "inputs": [
-        { "link": 7, "name": "samples", "type": "LATENT" },
-        { "link": 53, "name": "vae", "type": "VAE", "slot_index": 1 }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [51], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 9,
-      "pos": [1440, 96],
-      "mode": 0,
-      "size": [952.5112915039062, 1007.9328002929688],
-      "type": "SaveImage",
-      "flags": {},
-      "order": 15,
-      "inputs": [
-        { "link": 51, "name": "images", "type": "IMAGE", "slot_index": 0 }
-      ],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI"]
-    },
-    {
-      "id": 53,
-      "pos": [480, 576],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "EmptySD3LatentImage",
-      "flags": {},
-      "order": 10,
-      "inputs": [
-        {
-          "link": 107,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "link": 108,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": [100],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "EmptySD3LatentImage" },
-      "widgets_values": [1024, 1024, 1]
-    },
-    {
-      "id": 50,
-      "pos": [-384, 144],
-      "mode": 0,
-      "size": [223.34756469726562, 254.37765502929688],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "SD3 supports different text encoder configurations, you can see how to load them here.\n\n\nMake sure to put these files:\nclip_g.safetensors\nclip_l.safetensors\nt5xxl_fp16.safetensors\n\n\nIn the ComfyUI/models/clip directory"
-      ]
-    },
-    {
-      "id": 41,
-      "pos": [-96, 0],
-      "mode": 0,
-      "size": [315, 82],
-      "type": "CLIPLoader",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
-      "widgets_values": ["t5xxl_fp16.safetensors", "sd3", "default"]
-    },
-    {
-      "id": 4,
-      "pos": [-96, 480],
-      "mode": 0,
-      "size": [384.75592041015625, 98],
-      "type": "CheckpointLoaderSimple",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [99], "slot_index": 0 },
-        { "name": "CLIP", "type": "CLIP", "links": [], "slot_index": 1 },
-        { "name": "VAE", "type": "VAE", "links": [53], "slot_index": 2 }
-      ],
-      "properties": { "Node name for S&R": "CheckpointLoaderSimple" },
-      "widgets_values": ["sd3.5_large.safetensors"]
-    },
-    {
-      "id": 3,
-      "pos": [864, 96],
-      "mode": 0,
-      "size": [315, 474],
-      "type": "KSampler",
-      "flags": {},
-      "order": 13,
-      "inputs": [
-        { "link": 99, "name": "model", "type": "MODEL", "slot_index": 0 },
-        { "link": 21, "name": "positive", "type": "CONDITIONING" },
-        { "link": 80, "name": "negative", "type": "CONDITIONING" },
-        { "link": 100, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        797639488625463,
-        "randomize",
-        20,
-        5.45,
-        "euler",
-        "sgm_uniform",
-        1
-      ]
-    },
-    {
-      "id": 51,
-      "pos": [-96, 624],
-      "mode": 0,
-      "size": [384, 192],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "sd3.5_large.safetensors and sd3.5_medium.safetensors are files that do not contain any CLIP/text encoder weights so you need to load them separately.\n\nThey go in the ComfyUI/models/checkpoints directory."
-      ]
-    },
-    {
-      "id": 43,
-      "pos": [-96, 288],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "TripleCLIPLoader",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [103, 104],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "TripleCLIPLoader" },
-      "widgets_values": [
-        "clip_l.safetensors",
-        "clip_g.safetensors",
-        "t5xxl_fp16.safetensors"
-      ]
-    },
-    {
-      "id": 42,
-      "pos": [-96, 144],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "DualCLIPLoader",
-      "flags": {},
-      "order": 5,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "DualCLIPLoader" },
-      "widgets_values": [
-        "clip_l.safetensors",
-        "clip_g.safetensors",
-        "sd3",
-        "default"
-      ]
-    },
-    {
-      "id": 40,
-      "pos": [399.0046081542969, 337.009765625],
-      "mode": 0,
-      "size": [397.45977783203125, 151.2898406982422],
-      "type": "CLIPTextEncode",
-      "color": "#322",
-      "flags": {},
-      "order": 11,
-      "title": "Negative Prompt",
-      "inputs": [
-        { "link": 104, "name": "clip", "type": "CLIP" },
-        {
-          "link": 106,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [80],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [""]
-    },
-    {
-      "id": 16,
-      "pos": [398.5880432128906, 108.27188110351562],
-      "mode": 0,
-      "size": [397.21484375, 158.671875],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 12,
-      "title": "Positive Prompt",
-      "inputs": [
-        { "link": 103, "name": "clip", "type": "CLIP" },
-        {
-          "link": 105,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [21],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "a bottle with a rainbow galaxy inside it on top of a wooden table on a snowy mountain top with the ocean and clouds in the background with a shot glass beside containing darkness beside a snow sculpture in the shape of a fox"
-      ]
-    },
-    {
-      "id": 57,
-      "pos": [-1015.1683349609375, 980.396240234375],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 6,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [108], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 1024, "Height", "The height of the image. "]
-    },
-    {
-      "id": 56,
-      "pos": [-1014.532470703125, 732.8568725585938],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [107], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 1024, "Width", "The width of the image. "]
-    },
-    {
-      "id": 55,
-      "pos": [-1010.8035278320312, 487.404052734375],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 8,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [106] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": ["negative_prompt", "", "Negative Prompt", ""]
-    },
-    {
-      "id": 54,
-      "pos": [-1059.1072998046875, 127.12823486328125],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 9,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [105] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "prompt",
-        "a bottle with a rainbow galaxy inside it on top of a wooden table on a snowy mountain top with the ocean and clouds in the background with a shot glass beside containing darkness beside a snow sculpture in the shape of a fox",
-        "Prompt",
-        "The prompt to generate an image from."
-      ]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Different Text Encoder Configurations",
-      "bounding": [-144, -96, 480, 528],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#b06634",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -1194.5233154296875, 388.3871154785156, 722.5393676757812,
-        824.6746215820312
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 3,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
-        -1148.487060546875, 30.449382781982422, 552.3358764648438,
-        329.3829040527344
-      ],
-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 108,
-  "last_node_id": 57
-}

examples/wan-21-i2v-480p.json

@@ -1,452 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.6934334949441662,
-      "offset": [276.7941771713029, -7.923387380923855]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.18",
-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
-    }
-  },
-  "links": [
-    [35, 3, 0, 8, 0, "LATENT"],
-    [56, 8, 0, 28, 0, "IMAGE"],
-    [74, 38, 0, 6, 0, "CLIP"],
-    [75, 38, 0, 7, 0, "CLIP"],
-    [76, 39, 0, 8, 1, "VAE"],
-    [93, 8, 0, 47, 0, "IMAGE"],
-    [94, 49, 0, 51, 0, "CLIP_VISION"],
-    [97, 6, 0, 50, 0, "CONDITIONING"],
-    [98, 7, 0, 50, 1, "CONDITIONING"],
-    [99, 39, 0, 50, 2, "VAE"],
-    [101, 50, 0, 3, 1, "CONDITIONING"],
-    [102, 50, 1, 3, 2, "CONDITIONING"],
-    [103, 50, 2, 3, 3, "LATENT"],
-    [107, 51, 0, 50, 3, "CLIP_VISION_OUTPUT"],
-    [110, 37, 0, 54, 0, "MODEL"],
-    [111, 54, 0, 3, 0, "MODEL"],
-    [112, 55, 0, 6, 1, "STRING"],
-    [113, 56, 0, 7, 1, "STRING"],
-    [115, 57, 0, 50, 4, "IMAGE"],
-    [116, 57, 0, 51, 1, "IMAGE"],
-    [117, 58, 0, 50, 5, "INT"],
-    [118, 59, 0, 50, 6, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 8,
-      "pos": [1210, 190],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 15,
-      "inputs": [
-        { "link": 35, "name": "samples", "type": "LATENT" },
-        { "link": 76, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [56, 93], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 39,
-      "pos": [866.3932495117188, 499.18597412109375],
-      "mode": 0,
-      "size": [306.36004638671875, 58],
-      "type": "VAELoader",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "VAE", "type": "VAE", "links": [76, 99], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAELoader" },
-      "widgets_values": ["wan_2.1_vae.safetensors"]
-    },
-    {
-      "id": 28,
-      "pos": [1460, 190],
-      "mode": 0,
-      "size": [870.8511352539062, 643.7430419921875],
-      "type": "SaveAnimatedWEBP",
-      "flags": {},
-      "order": 16,
-      "inputs": [{ "link": 56, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI", 16, false, 90, "default", ""]
-    },
-    {
-      "id": 47,
-      "pos": [2367.213134765625, 193.6114959716797],
-      "mode": 4,
-      "size": [315, 130],
-      "type": "SaveWEBM",
-      "flags": {},
-      "order": 17,
-      "inputs": [{ "link": 93, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": { "Node name for S&R": "SaveWEBM" },
-      "widgets_values": ["ComfyUI", "vp9", 24, 32]
-    },
-    {
-      "id": 50,
-      "pos": [673.0507202148438, 627.272705078125],
-      "mode": 0,
-      "size": [342.5999755859375, 250],
-      "type": "WanImageToVideo",
-      "flags": {},
-      "order": 13,
-      "inputs": [
-        { "link": 97, "name": "positive", "type": "CONDITIONING" },
-        { "link": 98, "name": "negative", "type": "CONDITIONING" },
-        { "link": 99, "name": "vae", "type": "VAE" },
-        {
-          "link": 107,
-          "name": "clip_vision_output",
-          "type": "CLIP_VISION_OUTPUT",
-          "shape": 7
-        },
-        { "link": 115, "name": "start_image", "type": "IMAGE", "shape": 7 },
-        {
-          "pos": [10, 116],
-          "link": 117,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "pos": [10, 140],
-          "link": 118,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "positive",
-          "type": "CONDITIONING",
-          "links": [101],
-          "slot_index": 0
-        },
-        {
-          "name": "negative",
-          "type": "CONDITIONING",
-          "links": [102],
-          "slot_index": 1
-        },
-        { "name": "latent", "type": "LATENT", "links": [103], "slot_index": 2 }
-      ],
-      "properties": { "Node name for S&R": "WanImageToVideo" },
-      "widgets_values": [512, 512, 33, 1]
-    },
-    {
-      "id": 3,
-      "pos": [863, 187],
-      "mode": 0,
-      "size": [315, 262],
-      "type": "KSampler",
-      "flags": {},
-      "order": 14,
-      "inputs": [
-        { "link": 111, "name": "model", "type": "MODEL" },
-        { "link": 101, "name": "positive", "type": "CONDITIONING" },
-        { "link": 102, "name": "negative", "type": "CONDITIONING" },
-        { "link": 103, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [35], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        55104841546759,
-        "randomize",
-        20,
-        6,
-        "uni_pc",
-        "simple",
-        1
-      ]
-    },
-    {
-      "id": 51,
-      "pos": [360, 640],
-      "mode": 0,
-      "size": [253.60000610351562, 78],
-      "type": "CLIPVisionEncode",
-      "flags": {},
-      "order": 12,
-      "inputs": [
-        { "link": 94, "name": "clip_vision", "type": "CLIP_VISION" },
-        { "link": 116, "name": "image", "type": "IMAGE" }
-      ],
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-        {
-          "name": "CLIP_VISION_OUTPUT",
-          "type": "CLIP_VISION_OUTPUT",
-          "links": [107],
-          "slot_index": 0
-        }
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-      "properties": { "Node name for S&R": "CLIPVisionEncode" },
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-      "id": 54,
-      "pos": [510, 70],
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-      "size": [315, 58],
-      "type": "ModelSamplingSD3",
-      "flags": {},
-      "order": 9,
-      "inputs": [{ "link": 110, "name": "model", "type": "MODEL" }],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [111], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ModelSamplingSD3" },
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-        { "link": 74, "name": "clip", "type": "CLIP" },
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-          "pos": [10, 36],
-          "link": 112,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [97],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around"
-      ]
-    },
-    {
-      "id": 55,
-      "pos": [-672.6411743164062, 140.167724609375],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [112] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "positive_prompt",
-        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around",
-        "Prompt",
-        "The text prompt to guide video generation."
-      ]
-    },
-    {
-      "id": 57,
-      "pos": [-664.3828125, 405.5113525390625],
-      "mode": 0,
-      "size": [390.5999755859375, 366],
-      "type": "ComfyUIDeployExternalImage",
-      "flags": {},
-      "order": 2,
-      "inputs": [
-        { "link": null, "name": "default_value", "type": "IMAGE", "shape": 7 }
-      ],
-      "outputs": [{ "name": "image", "type": "IMAGE", "links": [115, 116] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalImage" },
-      "widgets_values": [
-        "image_url",
-        "Image Url",
-        "URL of the input image.",
-        "https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
-        ""
-      ]
-    },
-    {
-      "id": 56,
-      "pos": [-674.42333984375, 953.0498046875],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [113] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "negative_prompt",
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "Negative Prompt",
-        "The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
-      ]
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-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 512, "Width", "The width of the video. "]
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-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["wan2.1_i2v_480p_14B_bf16.safetensors", "default"]
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-      "pos": [-3.7316977977752686, 230.76495361328125],
-      "mode": 0,
-      "size": [390, 98],
-      "type": "CLIPLoader",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "outputs": [
-        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
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-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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-      "mode": 0,
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-      "inputs": [],
-      "outputs": [
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-          "type": "CLIP_VISION",
-          "links": [94],
-          "slot_index": 0
-        }
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-      "inputs": [
-        { "link": 75, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 113,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
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-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [98],
-          "slot_index": 0
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-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
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-  "config": {},
-  "groups": [
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-      "color": "#3f789e",
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-      "font_size": 24
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-      "color": "#b06634",
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-      "title": "Additional",
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-  "version": 0.4,
-  "last_link_id": 118,
-  "last_node_id": 59
-}

examples/wav-21-i2v-720p.json

@@ -1,452 +0,0 @@
-{
-  "extra": {
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-      "offset": [-209.31226203277674, -32.62073943929215]
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-    [3, 1, 0, 3, 0, "IMAGE"],
-    [4, 1, 0, 4, 0, "IMAGE"],
-    [5, 9, 0, 5, 0, "CONDITIONING"],
-    [6, 18, 0, 5, 1, "CONDITIONING"],
-    [7, 2, 0, 5, 2, "VAE"],
-    [8, 7, 0, 5, 3, "CLIP_VISION_OUTPUT"],
-    [9, 11, 0, 5, 4, "IMAGE"],
-    [10, 13, 0, 5, 5, "INT"],
-    [11, 14, 0, 5, 6, "INT"],
-    [12, 8, 0, 6, 0, "MODEL"],
-    [13, 5, 0, 6, 1, "CONDITIONING"],
-    [14, 5, 1, 6, 2, "CONDITIONING"],
-    [15, 5, 2, 6, 3, "LATENT"],
-    [16, 17, 0, 7, 0, "CLIP_VISION"],
-    [17, 11, 0, 7, 1, "IMAGE"],
-    [18, 15, 0, 8, 0, "MODEL"],
-    [19, 16, 0, 9, 0, "CLIP"],
-    [20, 10, 0, 9, 1, "STRING"],
-    [21, 16, 0, 18, 0, "CLIP"],
-    [22, 12, 0, 18, 1, "STRING"]
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-        { "link": 14, "name": "negative", "type": "CONDITIONING" },
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-          "type": "CONDITIONING",
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-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-      "properties": { "Node name for S&R": "ComfyUIDeployExternalImage" },
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-        "URL of the input image.",
-        "https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
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-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "Negative Prompt",
-        "The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
-      ]
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-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
-      "widgets_values": [
-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
-        "wan",
-        "default"
-      ]
-    },
-    {
-      "id": 17,
-      "pos": [630.5606079101562, 1152.8475341796875],
-      "mode": 0,
-      "size": [315, 58],
-      "type": "CLIPVisionLoader",
-      "flags": {},
-      "order": 6,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP_VISION",
-          "type": "CLIP_VISION",
-          "links": [16],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPVisionLoader" },
-      "widgets_values": ["clip_vision_h.safetensors"]
-    },
-    {
-      "id": 18,
-      "pos": [1028.169921875, 906.5068969726562],
-      "mode": 0,
-      "size": [425.27801513671875, 180.6060791015625],
-      "type": "CLIPTextEncode",
-      "color": "#322",
-      "flags": {},
-      "order": 9,
-      "title": "CLIP Text Encode (Negative Prompt)",
-      "inputs": [
-        { "link": 21, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 22,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [6],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
-      ]
-    },
-    {
-      "id": 15,
-      "pos": [610.6187744140625, 594.3209838867188],
-      "mode": 0,
-      "size": [346.7470703125, 82],
-      "type": "UNETLoader",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [18], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["wan2.1_i2v_720p_14B_bf16.safetensors", "default"]
-    },
-    {
-      "id": 10,
-      "pos": [-60.696964263916016, 649.5515747070312],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 8,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [20] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "positive_prompt",
-        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit running towards front happily",
-        "Prompt",
-        "The text prompt to guide video generation."
-      ]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
-        -94.30522155761719, 560.1735229492188, 617.7969360351562,
-        761.303955078125
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#b06634",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -89.63090515136719, 1373.9351806640625, 625.998779296875,
-        845.0675048828125
-      ],
-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 22,
-  "last_node_id": 18
-}

examples/wav-21-t2v-13b.json

@@ -1,359 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.8390545288824369,
-      "offset": [814.3725295729478, -347.90757575249455]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.18",
-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
-    }
-  },
-  "links": [
-    [35, 3, 0, 8, 0, "LATENT"],
-    [46, 6, 0, 3, 1, "CONDITIONING"],
-    [52, 7, 0, 3, 2, "CONDITIONING"],
-    [56, 8, 0, 28, 0, "IMAGE"],
-    [74, 38, 0, 6, 0, "CLIP"],
-    [75, 38, 0, 7, 0, "CLIP"],
-    [76, 39, 0, 8, 1, "VAE"],
-    [91, 40, 0, 3, 3, "LATENT"],
-    [93, 8, 0, 47, 0, "IMAGE"],
-    [94, 37, 0, 48, 0, "MODEL"],
-    [95, 48, 0, 3, 0, "MODEL"],
-    [96, 49, 0, 6, 1, "STRING"],
-    [97, 50, 0, 7, 1, "STRING"],
-    [99, 52, 0, 40, 1, "INT"],
-    [100, 51, 0, 40, 0, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 8,
-      "pos": [1210, 190],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 12,
-      "inputs": [
-        { "link": 35, "name": "samples", "type": "LATENT" },
-        { "link": 76, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [56, 93], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 39,
-      "pos": [866.3932495117188, 499.18597412109375],
-      "mode": 0,
-      "size": [306.36004638671875, 58],
-      "type": "VAELoader",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "VAE", "type": "VAE", "links": [76], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAELoader" },
-      "widgets_values": ["wan_2.1_vae.safetensors"]
-    },
-    {
-      "id": 47,
-      "pos": [2367.213134765625, 193.6114959716797],
-      "mode": 4,
-      "size": [315, 130],
-      "type": "SaveWEBM",
-      "flags": {},
-      "order": 14,
-      "inputs": [{ "link": 93, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": { "Node name for S&R": "SaveWEBM" },
-      "widgets_values": ["ComfyUI", "vp9", 24, 32]
-    },
-    {
-      "id": 3,
-      "pos": [863, 187],
-      "mode": 0,
-      "size": [315, 262],
-      "type": "KSampler",
-      "flags": {},
-      "order": 11,
-      "inputs": [
-        { "link": 95, "name": "model", "type": "MODEL" },
-        { "link": 46, "name": "positive", "type": "CONDITIONING" },
-        { "link": 52, "name": "negative", "type": "CONDITIONING" },
-        { "link": 91, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [35], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        577746309562741,
-        "randomize",
-        30,
-        6,
-        "uni_pc",
-        "simple",
-        1
-      ]
-    },
-    {
-      "id": 48,
-      "pos": [440, 50],
-      "mode": 0,
-      "size": [210, 58],
-      "type": "ModelSamplingSD3",
-      "flags": {},
-      "order": 7,
-      "inputs": [{ "link": 94, "name": "model", "type": "MODEL" }],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [95], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ModelSamplingSD3" },
-      "widgets_values": [8]
-    },
-    {
-      "id": 37,
-      "pos": [20, 40],
-      "mode": 0,
-      "size": [346.7470703125, 82],
-      "type": "UNETLoader",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [94], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["wan2.1_t2v_1.3B_fp16.safetensors", "default"]
-    },
-    {
-      "id": 6,
-      "pos": [415, 186],
-      "mode": 0,
-      "size": [422.84503173828125, 164.31304931640625],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 8,
-      "title": "CLIP Text Encode (Positive Prompt)",
-      "inputs": [
-        { "link": 74, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 96,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [46],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera"
-      ]
-    },
-    {
-      "id": 7,
-      "pos": [413, 389],
-      "mode": 0,
-      "size": [425.27801513671875, 180.6060791015625],
-      "type": "CLIPTextEncode",
-      "color": "#322",
-      "flags": {},
-      "order": 9,
-      "title": "CLIP Text Encode (Negative Prompt)",
-      "inputs": [
-        { "link": 75, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 97,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [52],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
-      ]
-    },
-    {
-      "id": 38,
-      "pos": [-10.047812461853027, 187.37384033203125],
-      "mode": 0,
-      "size": [390, 98],
-      "type": "CLIPLoader",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [
-        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
-      "widgets_values": [
-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
-        "wan",
-        "default"
-      ]
-    },
-    {
-      "id": 49,
-      "pos": [-535.2967529296875, 342.3277587890625],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [96] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "positive_prompt",
-        "a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera",
-        "Prompt",
-        "The text prompt to guide video generation. "
-      ]
-    },
-    {
-      "id": 50,
-      "pos": [-526.2716064453125, 703.8343505859375],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [97] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "negative_prompt",
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "Negative Prompt",
-        "The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
-      ]
-    },
-    {
-      "id": 40,
-      "pos": [516.926513671875, 619.59716796875],
-      "mode": 0,
-      "size": [315, 150],
-      "type": "EmptyHunyuanLatentVideo",
-      "flags": {},
-      "order": 10,
-      "inputs": [
-        {
-          "pos": [10, 36],
-          "link": 100,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "pos": [10, 60],
-          "link": 99,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [91], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "EmptyHunyuanLatentVideo" },
-      "widgets_values": [832, 480, 33, 1]
-    },
-    {
-      "id": 28,
-      "pos": [1460, 190],
-      "mode": 0,
-      "size": [870.8511352539062, 643.7430419921875],
-      "type": "SaveAnimatedWEBP",
-      "flags": {},
-      "order": 13,
-      "inputs": [{ "link": 56, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI", 16, false, 90, "default"]
-    },
-    {
-      "id": 51,
-      "pos": [-522.7415161132812, 959.3386840820312],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 5,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [100], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 832, "Width", "The Width of the Video. "]
-    },
-    {
-      "id": 52,
-      "pos": [-518.9917602539062, 1207.9444580078125],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 6,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [99], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 480, "Height", "The Height of the Video. "]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Inputs",
-      "bounding": [
-        -560.9110717773438, 255.1485595703125, 500.94989013671875,
-        333.4786682128906
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#b06634",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -556.5305786132812, 619.87548828125, 761.2673950195312,
-        811.6837768554688
-      ],
-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 100,
-  "last_node_id": 52
-}

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 name = "comfyui-deploy"
 description = "Open source comfyui deployment platform, a vercel for generative workflow infra."
-version = "2.2.1"
-license = { file = "LICENSE" }
-dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg", "tabulate", "brotli"]
+version = "1.1.0"
+license = "LICENSE"
+dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg"]
 
 [project.urls]
 Repository = "https://github.com/BennyKok/comfyui-deploy"

web-plugin/api.js

@@ -0,0 +1,4 @@
+/** @typedef {import('../../../web/scripts/api.js').api} API*/
+import { api as _api } from '../../scripts/api.js';
+/** @type {API} */
+export const api = _api;

web-plugin/app.js

@@ -0,0 +1,4 @@
+/** @typedef {import('../../../web/scripts/app.js').ComfyApp} ComfyApp*/
+import { app as _app } from '../../scripts/app.js';
+/** @type {ComfyApp} */
+export const app = _app;

web-plugin/widgets.js

@@ -0,0 +1,18 @@
+// /** @typedef {import('../../../web/scripts/api.js').api} API*/
+// import { api as _api } from "../../scripts/api.js";
+// /** @type {API} */
+// export const api = _api;
+
+/** @typedef {typeof import('../../../web/scripts/widgets.js').ComfyWidgets} Widgets*/
+import { ComfyWidgets as _ComfyWidgets } from "../../scripts/widgets.js";
+
+/**
+ * @type {Widgets}
+ */
+export const ComfyWidgets = _ComfyWidgets;
+
+// import { LGraphNode as _LGraphNode } from "../../types/litegraph.js";
+
+/** @typedef {typeof import('../../../web/types/litegraph.js').LGraphNode} LGraphNode*/
+/** @type {LGraphNode}*/
+export const LGraphNode = LiteGraph.LGraphNode;

web-plugin/workflow-list.js

@@ -1,387 +0,0 @@
-// Workflow list management
-let workflowsState = {
-  workflows: [],
-  offset: 0,
-  limit: 20,
-  loading: false,
-  hasMore: true,
-  initialized: false,
-  currentSearch: "",
-};
-
-// Make workflowsState accessible globally
-window.workflowsState = workflowsState;
-
-async function fetchWorkflows(getData, offset = 0, limit = 20, search = "") {
-  try {
-    const data = getData();
-    if (!data.apiKey) {
-      throw new Error("API key not configured");
-    }
-
-    const params = new URLSearchParams({
-      offset: offset.toString(),
-      limit: limit.toString(),
-      api_url: data.apiUrl || "https://api.comfydeploy.com",
-      ...(search && { search }),
-    });
-
-    const response = await fetch(`/comfyui-deploy/workflows?${params}`, {
-      method: "GET",
-      headers: {
-        Authorization: `Bearer ${data.apiKey}`,
-        "Content-Type": "application/json",
-      },
-    });
-
-    if (!response.ok) {
-      throw new Error(`Failed to fetch workflows: ${response.status}`);
-    }
-
-    const result = await response.json();
-    console.log("result", result);
-    return Array.isArray(result) ? result : [];
-  } catch (error) {
-    console.error("Error fetching workflows:", error);
-    return [];
-  }
-}
-
-function createWorkflowItem(workflow, getTimeAgo, getData) {
-  const li = document.createElement("li");
-  li.style.cssText = `
-      border-bottom: 1px solid #444;
-      background: transparent;
-      transition: all 0.2s ease;
-      cursor: pointer;
-    `;
-
-  li.addEventListener("mouseenter", () => {
-    li.style.background = "#333";
-  });
-
-  li.addEventListener("mouseleave", () => {
-    li.style.background = "transparent";
-  });
-
-  // Add click handler to fetch and load workflow data
-  li.addEventListener("click", async () => {
-    try {
-      const data = getData();
-      if (!data.apiKey) {
-        console.error("No API key configured");
-        return;
-      }
-
-      // Show loading toast
-      const loadingToast = window.app.extensionManager.toast.add({
-        severity: "info",
-        summary: "Loading workflow...",
-        detail: `Loading "${workflow.name}"`,
-        life: 3000,
-      });
-
-      const params = new URLSearchParams({
-        workflow_id: workflow.id,
-        api_url: data.apiUrl || "https://api.comfydeploy.com",
-      });
-
-      const response = await fetch(`/comfyui-deploy/workflow?${params}`, {
-        method: "GET",
-        headers: {
-          Authorization: `Bearer ${data.apiKey}`,
-          "Content-Type": "application/json",
-        },
-      });
-
-      if (!response.ok) {
-        throw new Error(`Failed to fetch workflow: ${response.status}`);
-      }
-
-      const workflowData = await response.json();
-      console.log("Workflow data:", workflowData);
-
-      // Load the workflow into the graph
-      if (workflowData.versions && workflowData.versions.length > 0) {
-        const latestVersion = workflowData.versions[0];
-        if (latestVersion.workflow && window.app) {
-          // Load the workflow
-          window.app.loadGraphData(latestVersion.workflow);
-
-          // Show success toast
-          window.app.extensionManager.toast.add({
-            severity: "success",
-            summary: "Workflow loaded successfully",
-            detail: `Loaded "${workflow.name}" v${latestVersion.version}`,
-            life: 3000,
-          });
-        }
-      }
-    } catch (error) {
-      console.error("Error loading workflow:", error);
-      // Show error toast
-      window.app.extensionManager.toast.add({
-        severity: "error",
-        summary: "Failed to load workflow",
-        detail: error.message,
-        life: 5000,
-      });
-    } finally {
-      loadingToast.close();
-    }
-  });
-
-  const updatedDate = new Date(workflow.updated_at);
-  const timeAgo = getTimeAgo(updatedDate);
-
-  li.innerHTML = `
-      <div style="padding: 12px 16px;">
-        <div style="display: flex; align-items: flex-start; gap: 12px;">
-          ${
-            workflow.cover_image
-              ? `<img src="${workflow.cover_image}" 
-                     style="width: 40px; height: 40px; border-radius: 4px; object-fit: cover; flex-shrink: 0;"
-                     onerror="this.style.display='none'">`
-              : `<div style="width: 40px; height: 40px; border-radius: 4px; background: #444; flex-shrink: 0; display: flex; align-items: center; justify-content: center; font-size: 14px; color: #888;">
-                   ${workflow.name.charAt(0).toUpperCase()}
-                 </div>`
-          }
-          
-          <div style="flex: 1; min-width: 0;">
-            <div style="display: flex; align-items: center; gap: 8px; margin-bottom: 4px;">
-              <h4 style="margin: 0; font-size: 14px; font-weight: 400; color: #fff; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">
-                ${workflow.name}
-              </h4>
-              ${
-                workflow.pinned
-                  ? `<span style="color: #ffd700; font-size: 12px;">📌</span>`
-                  : ""
-              }
-            </div>
-            
-            ${
-              workflow.description
-                ? `<p style="margin: 0 0 8px 0; font-size: 12px; color: #bbb; line-height: 1.3; overflow: hidden; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical;">
-                     ${workflow.description}
-                   </p>`
-                : ""
-            }
-            
-            <div style="display: flex; align-items: center; gap: 8px; margin-top: 8px;">
-              <img src="${workflow.user_icon}" 
-                   style="width: 16px; height: 16px; border-radius: 50%;"
-                   onerror="this.style.display='none'">
-              <span style="font-size: 11px; color: #888;">
-                ${workflow.user_name} • Updated ${timeAgo}
-              </span>
-            </div>
-          </div>
-        </div>
-      </div>
-    `;
-
-  return li;
-}
-
-async function loadMoreWorkflows(element, getData, getTimeAgo) {
-  if (workflowsState.loading || !workflowsState.hasMore) return;
-
-  workflowsState.loading = true;
-
-  const workflowsList = element.querySelector("#workflows-list");
-  const workflowsLoading = element.querySelector("#workflows-loading");
-
-  // Show loading indicator
-  workflowsLoading.style.display = "flex";
-
-  try {
-    const newWorkflows = await fetchWorkflows(
-      getData,
-      workflowsState.offset,
-      workflowsState.limit,
-      workflowsState.currentSearch
-    );
-
-    if (newWorkflows.length === 0) {
-      workflowsState.hasMore = false;
-    } else {
-      workflowsState.workflows.push(...newWorkflows);
-      workflowsState.offset += newWorkflows.length;
-
-      // Render new workflow items
-      newWorkflows.forEach((workflow) => {
-        const workflowItem = createWorkflowItem(workflow, getTimeAgo, getData);
-        workflowsList.appendChild(workflowItem);
-      });
-    }
-  } catch (error) {
-    console.error("Error loading more workflows:", error);
-  } finally {
-    workflowsState.loading = false;
-    workflowsLoading.style.display = "none";
-  }
-}
-
-function setupInfiniteScroll(container, element, getData, getTimeAgo) {
-  let isScrolling = false;
-
-  container.addEventListener("scroll", () => {
-    if (isScrolling) return;
-
-    const { scrollTop, scrollHeight, clientHeight } = container;
-
-    // Load more when scrolled to bottom (with 100px threshold)
-    if (scrollTop + clientHeight >= scrollHeight - 100) {
-      isScrolling = true;
-      loadMoreWorkflows(element, getData, getTimeAgo).finally(() => {
-        isScrolling = false;
-      });
-    }
-  });
-}
-
-async function initializeWorkflowsList(element, getData, getTimeAgo) {
-  const workflowsContainer = element.querySelector("#workflows-container");
-  const workflowsList = element.querySelector("#workflows-list");
-  const workflowsLoading = element.querySelector("#workflows-loading");
-
-  // Check if already initialized AND the DOM elements still exist
-  if (
-    workflowsState.initialized &&
-    workflowsList &&
-    workflowsList.children.length > 0
-  )
-    return;
-
-  try {
-    // Reset state (always reset when reinitializing)
-    workflowsState = {
-      workflows: [],
-      offset: 0,
-      limit: 20,
-      loading: false,
-      hasMore: true,
-      initialized: true,
-      currentSearch: "",
-    };
-
-    // Clear existing content in case of reinitialization
-    if (workflowsList) {
-      workflowsList.innerHTML = "";
-    }
-
-    // Show container and loading
-    workflowsContainer.style.display = "block";
-    workflowsLoading.style.display = "flex";
-
-    // Style the workflows list for full height scrolling
-    workflowsList.style.cssText = `
-        list-style-type: none;
-        padding: 0;
-        margin: 0;
-        height: calc(100vh - 350px);
-        overflow-y: auto;
-        scrollbar-width: thin;
-        scrollbar-color: #666 transparent;
-        border-top: 1px solid #444;
-      `;
-
-    // Add webkit scrollbar styles
-    const style = document.createElement("style");
-    style.textContent = `
-        #workflows-list::-webkit-scrollbar {
-          width: 6px;
-        }
-        #workflows-list::-webkit-scrollbar-track {
-          background: transparent;
-        }
-        #workflows-list::-webkit-scrollbar-thumb {
-          background: #666;
-          border-radius: 3px;
-        }
-        #workflows-list::-webkit-scrollbar-thumb:hover {
-          background: #777;
-        }
-      `;
-    document.head.appendChild(style);
-
-    // Setup infinite scroll
-    setupInfiniteScroll(workflowsList, element, getData, getTimeAgo);
-
-    // Load initial workflows
-    await loadMoreWorkflows(element, getData, getTimeAgo);
-
-    // Show the list
-    workflowsList.style.display = "block";
-  } catch (error) {
-    console.error("Error initializing workflows list:", error);
-    workflowsLoading.innerHTML = `
-        <div style="text-align: center; color: #e74c3c; font-size: 12px; padding: 20px;">
-          <div>Failed to load workflows</div>
-          <button onclick="initializeWorkflowsList(this.closest('.comfy-menu'), getData, getTimeAgo)" 
-                  style="margin-top: 8px; padding: 4px 8px; font-size: 11px; background: #f0f0f0; border: 1px solid #ccc; border-radius: 4px; cursor: pointer;">
-            Retry
-          </button>
-        </div>
-      `;
-  }
-}
-
-// Search functionality
-function addWorkflowSearch(element, getData, getTimeAgo) {
-  const workflowsContainer = element.querySelector("#workflows-container");
-  const h4 = workflowsContainer.querySelector("h4");
-
-  const searchContainer = document.createElement("div");
-  searchContainer.style.cssText = "margin-bottom: 12px;";
-
-  const searchInput = document.createElement("input");
-  searchInput.type = "text";
-  searchInput.placeholder = "Search workflows...";
-  searchInput.style.cssText = `
-      width: 100%;
-      padding: 8px 12px;
-      border: 1px solid #555;
-      border-radius: 6px;
-      font-size: 12px;
-      box-sizing: border-box;
-      background: #333;
-      color: #fff;
-    `;
-
-  let searchTimeout;
-  searchInput.addEventListener("input", (e) => {
-    clearTimeout(searchTimeout);
-    searchTimeout = setTimeout(async () => {
-      const searchTerm = e.target.value.trim();
-
-      // Update the tracked search term
-      workflowsState.currentSearch = searchTerm;
-
-      // Reset state for new search
-      workflowsState.workflows = [];
-      workflowsState.offset = 0;
-      workflowsState.hasMore = true;
-
-      // Clear current list
-      const workflowsList = element.querySelector("#workflows-list");
-      workflowsList.innerHTML = "";
-
-      // Load with search term
-      workflowsState.loading = false;
-      await loadMoreWorkflows(element, getData, getTimeAgo);
-    }, 300);
-  });
-
-  searchContainer.appendChild(searchInput);
-  h4.after(searchContainer);
-}
-
-// Export the functions
-export {
-  initializeWorkflowsList,
-  addWorkflowSearch,
-  workflowsState,
-  fetchWorkflows,
-  loadMoreWorkflows,
-};