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_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

@@ -791,7 +791,6 @@ class ComfyUIDeployExternalVideo:
     )
 
     FUNCTION = "load_video"
-    CATEGORY = "🔗ComfyDeploy"
 
     def load_video(self, **kwargs):
         input_id = kwargs.get("input_id")

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_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,
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-          "type": "IMAGE",
-          "link": 21
-        }
-      ],
-      "outputs": [],
-      "properties": {
-        "cnr_id": "comfy-core",
-        "ver": "0.3.27",
-        "Node name for S&R": "PreviewImage"
-      },
-      "widgets_values": []
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-    {
-      "id": 28,
-      "type": "VAEEncodeForInpaint",
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-        1637.603271484375,
-        1182.81298828125
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-      "size": [
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-          "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"
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-      "id": 19,
-      "type": "Note",
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-      "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",
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-          "type": "IMAGE",
-          "link": 17
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-        {
-          "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
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-      "size": [
-        390.5999755859375,
-        154
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-        {
-          "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",
-        "",
-        "",
-        "",
-        ""
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-          "shape": 7,
-          "type": "IMAGE",
-          "link": 11
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-        {
-          "name": "image",
-          "type": "IMAGE",
-          "links": [
-            13
-          ]
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-      "properties": {
-        "cnr_id": "comfyui-deploy",
-        "ver": "cd3a2ff5471828f9c840e746551592e882c05aa4",
-        "Node name for S&R": "ComfyUIDeployExternalImageAlpha"
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-        "input_image_alpha",
-        "",
-        ""
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-  "links": [
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-      10,
-      10,
-      0,
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-      "IMAGE"
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-      "IMAGE"
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-      12,
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-      "IMAGE"
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-      14,
-      13,
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-      "IMAGE"
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-      "MASK"
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-      16,
-      17,
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-      15,
-      0,
-      "IMAGE"
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-      17,
-      20,
-      0,
-      22,
-      0,
-      "IMAGE"
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-      18,
-      21,
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-      19,
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-      "IMAGE"
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-      27,
-      0,
-      "IMAGE"
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-      23,
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-      28,
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-      "IMAGE"
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-      24,
-      24,
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-      28,
-      2,
-      "MASK"
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-    [
-      25,
-      13,
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-      29,
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-    [
-      26,
-      13,
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-      29,
-      2,
-      "MASK"
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-    [
-      28,
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-  "groups": [],
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-    "ds": {
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-        48.66905973637718,
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-    "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",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [56],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls"
-      ]
-    },
-    {
-      "id": 8,
-      "pos": [1151, 195],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 11,
-      "inputs": [
-        { "link": 52, "name": "samples", "type": "LATENT" },
-        { "link": 46, "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": [1375, 194],
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-      "size": [985.2999877929688, 1060.3800048828125],
-      "type": "SaveImage",
-      "flags": {},
-      "order": 12,
-      "inputs": [{ "link": 9, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI"]
-    },
-    {
-      "id": 31,
-      "pos": [816, 192],
-      "mode": 0,
-      "size": [315, 262],
-      "type": "KSampler",
-      "flags": {},
-      "order": 10,
-      "inputs": [
-        { "link": 47, "name": "model", "type": "MODEL" },
-        { "link": 57, "name": "positive", "type": "CONDITIONING" },
-        { "link": 55, "name": "negative", "type": "CONDITIONING" },
-        { "link": 51, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": [52],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        1024035737089801,
-        "randomize",
-        20,
-        1,
-        "euler",
-        "simple",
-        1
-      ]
-    },
-    {
-      "id": 35,
-      "pos": [576, 96],
-      "mode": 0,
-      "size": [211.60000610351562, 58],
-      "type": "FluxGuidance",
-      "flags": {},
-      "order": 9,
-      "inputs": [
-        { "link": 56, "name": "conditioning", "type": "CONDITIONING" }
-      ],
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [57],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "FluxGuidance" },
-      "widgets_values": [3.5]
-    },
-    {
-      "id": 37,
-      "pos": [60, 345],
-      "mode": 0,
-      "size": [225, 88],
-      "type": "MarkdownNote",
-      "color": "#432",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "🛈 [Learn more about this workflow](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-dev-1)"
-      ]
-    },
-    {
-      "id": 34,
-      "pos": [825, 510],
-      "mode": 0,
-      "size": [282.8599853515625, 164.0800018310547],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "Note that Flux dev and schnell do not have any negative prompt so CFG should be set to 1.0. Setting CFG to 1.0 means the negative prompt is ignored."
-      ]
-    },
-    {
-      "id": 30,
-      "pos": [48, 192],
-      "mode": 0,
-      "size": [315, 98],
-      "type": "CheckpointLoaderSimple",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "MODEL",
-          "type": "MODEL",
-          "links": [47],
-          "shape": 3,
-          "slot_index": 0
-        },
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [45, 54],
-          "shape": 3,
-          "slot_index": 1
-        },
-        {
-          "name": "VAE",
-          "type": "VAE",
-          "links": [46],
-          "shape": 3,
-          "slot_index": 2
-        }
-      ],
-      "properties": { "Node name for S&R": "CheckpointLoaderSimple" },
-      "widgets_values": ["FLUX1/flux1-dev-fp8.safetensors"]
-    },
-    {
-      "id": 33,
-      "pos": [390, 400],
-      "mode": 0,
-      "size": [422.8500061035156, 164.30999755859375],
-      "type": "CLIPTextEncode",
-      "color": "#322",
-      "flags": { "collapsed": true },
-      "order": 6,
-      "title": "CLIP Text Encode (Negative Prompt)",
-      "inputs": [
-        { "link": 54, "name": "clip", "type": "CLIP", "slot_index": 0 }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [55],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [""]
-    },
-    {
-      "id": 27,
-      "pos": [461.8629455566406, 460.2491149902344],
-      "mode": 0,
-      "size": [315, 126],
-      "type": "EmptySD3LatentImage",
-      "color": "#323",
-      "flags": {},
-      "order": 8,
-      "inputs": [
-        {
-          "pos": [10, 60],
-          "link": 59,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        },
-        {
-          "pos": [10, 36],
-          "link": 60,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        }
-      ],
-      "bgcolor": "#535",
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": [51],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "EmptySD3LatentImage" },
-      "widgets_values": [1024, 1024, 1]
-    },
-    {
-      "id": 38,
-      "pos": [-497.3238525390625, 306.5517578125],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [58] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "prompt",
-        "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls",
-        "Prompt",
-        "The prompt to generate an image from."
-      ]
-    },
-    {
-      "id": 39,
-      "pos": [-507.4543762207031, 612.9552001953125],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [60], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 1024, "Width", "The width of the image."]
-    },
-    {
-      "id": 40,
-      "pos": [-497.8695068359375, 864.68994140625],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 5,
-      "inputs": [],
-      "outputs": [
-        { "name": "value", "type": "INT", "links": [59], "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": [
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-        334.3218994140625
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#A88",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -517.1227416992188, 537.53759765625, 644.4954223632812,
-        599.2609252929688
-      ],
-      "font_size": 24
-    }
-  ],
-  "version": 0.4,
-  "last_link_id": 60,
-  "last_node_id": 40
-}

examples/flux-schnell.json

@@ -1,423 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.6830134553650709,
-      "offset": [750.2474149300585, 120.48924647647146]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.19",
-      "comfyui-deploy": "171a227856bd5f31e97828d89f83f3741004d05e"
-    }
-  },
-  "links": [
-    [9, 8, 0, 9, 0, "IMAGE"],
-    [10, 11, 0, 6, 0, "CLIP"],
-    [12, 10, 0, 8, 1, "VAE"],
-    [19, 16, 0, 13, 2, "SAMPLER"],
-    [20, 17, 0, 13, 3, "SIGMAS"],
-    [23, 5, 0, 13, 4, "LATENT"],
-    [24, 13, 0, 8, 0, "LATENT"],
-    [30, 22, 0, 13, 1, "GUIDER"],
-    [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"],
-    [45, 30, 0, 5, 1, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 13,
-      "pos": [842, 215],
-      "mode": 0,
-      "size": [355.20001220703125, 106],
-      "type": "SamplerCustomAdvanced",
-      "flags": {},
-      "order": 14,
-      "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": 23,
-          "name": "latent_image",
-          "type": "LATENT",
-          "slot_index": 4
-        }
-      ],
-      "outputs": [
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-          "name": "output",
-          "type": "LATENT",
-          "links": [24],
-          "shape": 3,
-          "slot_index": 0
-        },
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-          "type": "LATENT",
-          "links": null,
-          "shape": 3
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-      "properties": { "Node name for S&R": "SamplerCustomAdvanced" },
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-      "id": 8,
-      "pos": [1248, 192],
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-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 15,
-      "inputs": [
-        { "link": 24, "name": "samples", "type": "LATENT" },
-        { "link": 12, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
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-        {
-          "link": 40,
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "slot_index": 1
-        }
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-      "outputs": [
-        {
-          "name": "GUIDER",
-          "type": "GUIDER",
-          "links": [30],
-          "shape": 3,
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-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "SAMPLER", "type": "SAMPLER", "links": [19], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "KSamplerSelect" },
-      "widgets_values": ["euler"]
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-      "mode": 0,
-      "size": [315, 106],
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-      "flags": {},
-      "order": 10,
-      "inputs": [
-        { "link": 38, "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", 4, 1]
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-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "The schnell model is a distilled model that can generate a good image with only 4 steps."
-      ]
-    },
-    {
-      "id": 9,
-      "pos": [1488, 192],
-      "mode": 0,
-      "size": [985.3012084960938, 1060.3828125],
-      "type": "SaveImage",
-      "flags": {},
-      "order": 16,
-      "inputs": [{ "link": 9, "name": "images", "type": "IMAGE" }],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI"]
-    },
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-      "id": 25,
-      "pos": [480, 587.7890625],
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-      "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": [393845863554716, "randomize"]
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-        {
-          "pos": [10, 60],
-          "link": 45,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "bgcolor": "#535",
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [23], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "EmptyLatentImage" },
-      "widgets_values": [1024, 1024, 1]
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-      "order": 3,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "If you get an error in any of the nodes above make sure the files are in the correct directories.\n\nSee the top of the examples page for the links : https://comfyanonymous.github.io/ComfyUI_examples/flux/\n\nflux1-schnell.safetensors goes in: ComfyUI/models/unet/\n\nt5xxl_fp16.safetensors and clip_l.safetensors go in: ComfyUI/models/clip/\n\nae.safetensors goes in: ComfyUI/models/vae/\n\n\nTip: You can set the weight_dtype above to one of the fp8 types if you have memory issues."
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-          "type": "CLIP",
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-          "shape": 3,
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-        "flux",
-        "default"
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-      "order": 5,
-      "inputs": [],
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-      "outputs": [
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-          "name": "MODEL",
-          "type": "MODEL",
-          "links": [38, 39],
-          "shape": 3,
-          "slot_index": 0
-        }
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-      "properties": { "Node name for S&R": "UNETLoader" },
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-          "link": 41,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
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-      "bgcolor": "#353",
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-          "type": "CONDITIONING",
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-          "slot_index": 0
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-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-          "type": "VAE",
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-      "widgets_values": ["ae.sft"]
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-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [41] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
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-        "prompt",
-        "a bottle with a beautiful rainbow galaxy inside it on top of a wooden table in the middle of a modern kitchen beside a plate of vegetables and mushrooms and a wine glasse that contains a planet earth with a plate with a half eaten apple pie on it",
-        "Prompt",
-        "The prompt to generate an image from."
-      ]
-    },
-    {
-      "id": 29,
-      "pos": [-677.4290161132812, 597.3389282226562],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
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-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 1024, "Height", "The height of the image."]
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-  "config": {},
-  "groups": [
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-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
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-        362.8800354003906
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-      "font_size": 24
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-      "id": 2,
-      "color": "#A88",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -720.3274536132812, 508.1206970214844, 703.0422973632812,
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-  "last_node_id": 30
-}

examples/hunyuan-video.json

@@ -1,482 +0,0 @@
-{
-  "extra": {
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-      "scale": 0.6830134553650709,
-      "offset": [1030.9627343190857, 159.73178253107423]
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-    "node_versions": {
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-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
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-    [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"]
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-      "id": 17,
-      "pos": [478, 860],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "BasicScheduler",
-      "flags": {},
-      "order": 10,
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-      "outputs": [
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-      ],
-      "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",
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-      "order": 14,
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-      "bgcolor": "#355",
-      "outputs": [
-        {
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-          "type": "CONDITIONING",
-          "links": [129],
-          "shape": 3,
-          "slot_index": 0
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-      "properties": { "Node name for S&R": "FluxGuidance" },
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-      "mode": 0,
-      "size": [315, 130],
-      "type": "EmptyHunyuanLatentVideo",
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-          "link": 217,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
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-        {
-          "link": 218,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
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-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [180], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "EmptyHunyuanLatentVideo" },
-      "widgets_values": [848, 480, 73, 1]
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-        {
-          "link": 129,
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "slot_index": 1
-        }
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-      "outputs": [
-        {
-          "name": "GUIDER",
-          "type": "GUIDER",
-          "links": [30],
-          "shape": 3,
-          "slot_index": 0
-        }
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-      "type": "ModelSamplingSD3",
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-        { "link": 211, "name": "vae", "type": "VAE" }
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-        { "name": "IMAGE", "type": "IMAGE", "links": [215], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecodeTiled" },
-      "widgets_values": [256, 64, 64, 8]
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-        { "link": 181, "name": "samples", "type": "LATENT" },
-        { "link": 206, "name": "vae", "type": "VAE" }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [], "slot_index": 0 }
-      ],
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-      "widgets_values": []
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-      "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."
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-    },
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-        { "link": 30, "name": "guider", "type": "GUIDER", "slot_index": 1 },
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-        { "link": 20, "name": "sigmas", "type": "SIGMAS", "slot_index": 3 },
-        {
-          "link": 180,
-          "name": "latent_image",
-          "type": "LATENT",
-          "slot_index": 4
-        }
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-          "name": "output",
-          "type": "LATENT",
-          "links": [181, 210],
-          "shape": 3,
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-      "properties": { "Node name for S&R": "SamplerCustomAdvanced" },
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-      "size": [315, 366],
-      "type": "SaveAnimatedWEBP",
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-      "order": 19,
-      "inputs": [{ "link": 215, "name": "images", "type": "IMAGE" }],
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-      "color": "#2a363b",
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-      "inputs": [],
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-      ],
-      "properties": { "Node name for S&R": "RandomNoise" },
-      "widgets_values": [1, "randomize"]
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-          "type": "VAE",
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-      "widgets_values": ["hunyuan_video_vae_bf16.safetensors"]
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-      "type": "DualCLIPLoader",
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-      "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": [
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-        "Prompt",
-        "The prompt to generate an image from."
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examples/wan-21-i2v-480p.json

@@ -1,452 +0,0 @@
-{
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-          "type": "CLIP_VISION_OUTPUT",
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-          "name": "text",
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-      "bgcolor": "#353",
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-        {
-          "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"
-      ]
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-    {
-      "id": 55,
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-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
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-      "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."
-      ]
-    },
-    {
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-      "flags": {},
-      "order": 2,
-      "inputs": [
-        { "link": null, "name": "default_value", "type": "IMAGE", "shape": 7 }
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-      "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",
-        ""
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-      "inputs": [],
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-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
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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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-      "widgets_values": ["height", 512, "Height", "The Height of the video."]
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-        { "name": "MODEL", "type": "MODEL", "links": [110], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["wan2.1_i2v_480p_14B_bf16.safetensors", "default"]
-    },
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-      "id": 38,
-      "pos": [-3.7316977977752686, 230.76495361328125],
-      "mode": 0,
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-      "type": "CLIPLoader",
-      "flags": {},
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-      "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"
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-          "type": "CLIP_VISION",
-          "links": [94],
-          "slot_index": 0
-        }
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-      "properties": { "Node name for S&R": "CLIPVisionLoader" },
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-      "type": "CLIPTextEncode",
-      "color": "#322",
-      "flags": {},
-      "order": 11,
-      "title": "CLIP Text Encode (Negative Prompt)",
-      "inputs": [
-        { "link": 75, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 113,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [98],
-          "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"
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-}

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

@@ -1,452 +0,0 @@
-{
-  "extra": {
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-      "offset": [-209.31226203277674, -32.62073943929215]
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-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
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-    [3, 1, 0, 3, 0, "IMAGE"],
-    [4, 1, 0, 4, 0, "IMAGE"],
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-    [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"],
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-    [13, 5, 0, 6, 1, "CONDITIONING"],
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-    [17, 11, 0, 7, 1, "IMAGE"],
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-    [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": 11,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
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-        {
-          "name": "positive",
-          "type": "CONDITIONING",
-          "links": [13],
-          "slot_index": 0
-        },
-        {
-          "name": "negative",
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-        { "name": "latent", "type": "LATENT", "links": [15], "slot_index": 2 }
-      ],
-      "properties": { "Node name for S&R": "WanImageToVideo" },
-      "widgets_values": [512, 512, 33, 1]
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-    {
-      "id": 6,
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-      "inputs": [
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-        { "link": 13, "name": "positive", "type": "CONDITIONING" },
-        { "link": 14, "name": "negative", "type": "CONDITIONING" },
-        { "link": 15, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [1], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
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-        "randomize",
-        20,
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-        "uni_pc",
-        "simple",
-        1
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-        { "link": 16, "name": "clip_vision", "type": "CLIP_VISION" },
-        { "link": 17, "name": "image", "type": "IMAGE" }
-      ],
-      "outputs": [
-        {
-          "name": "CLIP_VISION_OUTPUT",
-          "type": "CLIP_VISION_OUTPUT",
-          "links": [8],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPVisionEncode" },
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-      ],
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-      "size": [422.84503173828125, 164.31304931640625],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 12,
-      "title": "CLIP Text Encode (Positive Prompt)",
-      "inputs": [
-        { "link": 19, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 20,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [5],
-          "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": 11,
-      "pos": [-50.3940315246582, 918.1358032226562],
-      "mode": 0,
-      "size": [390.5999755859375, 366],
-      "type": "ComfyUIDeployExternalImage",
-      "flags": {},
-      "order": 1,
-      "inputs": [
-        { "link": null, "name": "default_value", "type": "IMAGE", "shape": 7 }
-      ],
-      "outputs": [{ "name": "image", "type": "IMAGE", "links": [9, 17] }],
-      "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": 12,
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-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [22] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
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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": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 512, "Height", "The Height of the video."]
-    },
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-      "pos": [610.257080078125, 743.389404296875],
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-      "inputs": [],
-      "outputs": [
-        { "name": "CLIP", "type": "CLIP", "links": [19, 21], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
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-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP_VISION",
-          "type": "CLIP_VISION",
-          "links": [16],
-          "slot_index": 0
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-        {
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-          "link": 22,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
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-      "bgcolor": "#533",
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-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [6],
-          "slot_index": 0
-        }
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-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-      "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"]
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-      "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
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-      "font_size": 24
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-    {
-      "id": 2,
-      "color": "#b06634",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -89.63090515136719, 1373.9351806640625, 625.998779296875,
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-      "font_size": 24
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-  "version": 0.4,
-  "last_link_id": 22,
-  "last_node_id": 18
-}

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

@@ -1,359 +0,0 @@
-{
-  "extra": {
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-      "scale": 0.8390545288824369,
-      "offset": [814.3725295729478, -347.90757575249455]
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-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
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-    [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"]
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-        { "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": []
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-        { "link": 52, "name": "negative", "type": "CONDITIONING" },
-        { "link": 91, "name": "latent_image", "type": "LATENT" }
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-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [35], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
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-        "randomize",
-        30,
-        6,
-        "uni_pc",
-        "simple",
-        1
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-      "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" },
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-      "flags": {},
-      "order": 1,
-      "inputs": [],
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-        { "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"]
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-      "id": 6,
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-      "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"
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-      "order": 9,
-      "title": "CLIP Text Encode (Negative Prompt)",
-      "inputs": [
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-        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
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-      "properties": { "Node name for S&R": "CLIPLoader" },
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-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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-      "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 = "2.1.0"
-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/index.js

@@ -1,11 +1,8 @@
-import { app } from "../../scripts/app.js";
-import { api } from "../../scripts/api.js";
-// import { LGraphNode } from "../../scripts/widgets.js";
-LGraphNode = LiteGraph.LGraphNode;
-import { ComfyDialog, $el } from "../../scripts/ui.js";
-
+import { app } from "./app.js";
+import { api } from "./api.js";
+import { ComfyWidgets, LGraphNode } from "./widgets.js";
 import { generateDependencyGraph } from "https://esm.sh/comfyui-json@0.1.25";
-import { ComfyDeploy } from "https://esm.sh/comfydeploy@2.0.0-beta.69";
+import { ComfyDeploy } from "https://esm.sh/comfydeploy@0.0.19-beta.30";
 
 const styles = `
 .comfydeploy-menu-item {
@@ -50,14 +47,6 @@ function sendEventToCD(event, data) {
   window.parent.postMessage(JSON.stringify(message), "*");
 }
 
-function sendDirectEventToCD(event, data) {
-  const message = {
-    type: event,
-    data: data,
-  };
-  window.parent.postMessage(message, "*");
-}
-
 function dispatchAPIEventData(data) {
   const msg = JSON.parse(data);
 
@@ -168,12 +157,12 @@ function setSelectedWorkflowInfo(info) {
 
 const VALID_TYPES = [
   "STRING",
+  "combo",
   "number",
   "toggle",
   "BOOLEAN",
   "text",
   "string",
-  "combo",
 ];
 
 function hideWidget(node, widget, suffix = "") {
@@ -181,9 +170,7 @@ function hideWidget(node, widget, suffix = "") {
   widget.origType = widget.type;
   widget.origComputeSize = widget.computeSize;
   widget.origSerializeValue = widget.serializeValue;
-  // console.log(widget.origComputeSize);
-  // console.log(LiteGraph.NODE_SLOT_HEIGHT);
-  // widget.computeSize = () => [0, 0];
+  widget.computeSize = () => [0, -4];
   widget.type = CONVERTED_TYPE + suffix;
   widget.serializeValue = () => {
     if (!node.inputs) {
@@ -212,37 +199,10 @@ function getWidgetType(config) {
   return { type };
 }
 
-async function convertToInput(node, widget, config) {
-  const { type } = getWidgetType(config);
-
-  console.log(node, widget, config);
-
-  const result = await app.extensionManager.dialog.prompt(
-    {
-      title: "Convert " + widget.name + " to external input",
-      message: "Input name",
-      defaultValue: widget.name,
-    }
-  );
-
-  if (!result) return;
-
-  // Check for duplicate input IDs across existing external input nodes
-  const existingInputIds = Object.values(app.graph.nodes)
-    .filter(n => n.type.startsWith("ComfyUIDeployExternal"))
-    .map(n => n.widgets_values?.[0])
-    .filter(Boolean);
-
-  if (existingInputIds.includes(result)) {
-    app.extensionManager.toast.add({
-      severity: 'error',
-      summary: 'Input ID already exists',
-      detail: 'Please choose a different name.',
-      life: 3000
-    });
-    return;
-  }
+const GET_CONFIG = Symbol();
 
+function convertToInput(node, widget, config) {
+  console.log(node);
   if (node.type == "LoadImage") {
     var inputNode = LiteGraph.createNode("ComfyUIDeployExternalImage");
     console.log(widget);
@@ -264,94 +224,54 @@ async function convertToInput(node, widget, config) {
 
     const links = app.graph.links;
 
-    // console.log(currentOutputsLinks);
+    console.log(currentOutputsLinks);
 
-    if (currentOutputsLinks)
-      for (let i = 0; i < currentOutputsLinks.length; i++) {
-        const link = currentOutputsLinks[i];
-        const llink = links[link];
-        console.log(links[link]);
-        setTimeout(
-          () => inputNode.connect(0, llink.target_id, llink.target_slot),
-          100,
-        );
-      }
+    for (let i = 0; i < currentOutputsLinks.length; i++) {
+      const link = currentOutputsLinks[i];
+      const llink = links[link];
+      console.log(links[link]);
+      setTimeout(
+        () => inputNode.connect(0, llink.target_id, llink.target_slot),
+        100,
+      );
+    }
 
     node.connect(0, inputNode, 0);
 
     return null;
   }
 
-  let externalNode = "";
-  let inputId = result;
-
-  if (type === "INT") {
-    externalNode = "ComfyUIDeployExternalNumberInt";
-    // inputId = "input_number";
+  hideWidget(node, widget);
+  const { type } = getWidgetType(config);
+  const sz = node.size;
+  const inputIsOptional = !!widget.options?.inputIsOptional;
+  const input = node.addInput(widget.name, type, {
+    widget: { name: widget.name, [GET_CONFIG]: () => config },
+    ...(inputIsOptional ? { shape: LiteGraph.SlotShape.HollowCircle } : {}),
+  });
+  for (const widget2 of node.widgets) {
+    widget2.last_y += LiteGraph.NODE_SLOT_HEIGHT;
   }
+  node.setSize([Math.max(sz[0], node.size[0]), Math.max(sz[1], node.size[1])]);
 
-  if (type === "FLOAT") {
-    externalNode = "ComfyUIDeployExternalNumberSlider";
-    // inputId = "input_number";
-  }
-
-  if (type === "STRING") {
-    externalNode = "ComfyUIDeployExternalText";
-    // inputId = "input_text";
-  }
-
-  if (type === "COMBO") {
-    externalNode = "ComfyUIDeployExternalEnum";
-    // inputId = "input_enum";
-  }
-
-  if (!externalNode || !inputId) return;
-
-  node.convertWidgetToInput(widget);
-
-  var inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId);
-
-  // if (type === "COMBO") {
-  //   inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId, {
-  //     dynamic_enum_options: config[0],
-  //   });
-  //   console.log(inputNode);
-  //   const options = config[0];
-  //   console.log(options);
-  // } else {
-  //   inputNode = LiteGraph.createNode(externalNode, "External Input: " + inputId);
-  // }
-
-  var options;
-
-  const index = node.inputs.findIndex((x) => x.name == widget.name);
-  if (type === "COMBO") {
-    options = widget.options?.values ?? config[0];
+  if (type == "STRING") {
+    var inputNode = LiteGraph.createNode("ComfyUIDeployExternalText");
+    console.log(widget);
+    const index = node.inputs.findIndex((x) => x.name == widget.name);
+    console.log(node.widgets_values, index);
     inputNode.configure({
-      widgets_values: [inputId, widget.value, JSON.stringify(options)],
+      widgets_values: ["input_text", widget.value],
     });
-  } else
-  {
-    inputNode.configure({
-      widgets_values: [inputId, widget.value],
-    });
-  }
-  inputNode.id = ++app.graph.last_node_id;
-  inputNode.pos = node.pos;
-  inputNode.pos[0] -= node.size[0] + 160;
-
-  if (type === "COMBO") {
+    inputNode.id = ++app.graph.last_node_id;
+    inputNode.pos = node.pos;
+    inputNode.pos[0] -= node.size[0] + 40;
     console.log(inputNode);
-    console.log(options);
-    inputNode.widgets.find((x) => x.name == "default_value").options.values = options;
+    console.log(app.graph);
+    app.graph.add(inputNode);
+    inputNode.connect(0, node, index);
   }
- 
-  app.graph.add(inputNode);
-  inputNode.connect(0, node, index);
 
-  app.graph.setDirtyCanvas(true, true);
-
-  return node.inputs.find((x) => x.name == widget.name);
+  return input;
 }
 
 const CONVERTED_TYPE = "converted-widget";
@@ -364,12 +284,7 @@ function getConfig(widgetName) {
   );
 }
 
-function isConvertibleWidget(node, widget, config) {
-  // console.log(config);
-  if (node.type === "LoadImage" && widget.type === "combo" && widget.name == "image") {
-    return true;
-  }
-
+function isConvertibleWidget(widget, config) {
   return (
     (VALID_TYPES.includes(widget.type) || VALID_TYPES.includes(config[0])) &&
     !widget.options?.forceInput
@@ -516,11 +431,11 @@ const ext = {
               w.type,
               w.options || {},
             ];
-            if (isConvertibleWidget(this, w, config)) {
+            if (isConvertibleWidget(w, config)) {
               toInput.push({
                 content: `Convert ${w.name} to external input`,
                 callback: /* @__PURE__ */ __name(
-                  async () => convertToInput(this, w, config),
+                  () => convertToInput(this, w, config),
                   "callback",
                 ),
                 className: "comfydeploy-menu-item",
@@ -568,20 +483,6 @@ const ext = {
       return r;
     };
 
-    if (
-      nodeData?.input?.optional?.default_value_url?.[1]?.image_preview === true
-    ) {
-      nodeData.input.optional.default_value_url = ["IMAGEPREVIEW"];
-      console.log(nodeData.input.optional.default_value_url);
-    }
-
-    if (
-      nodeData?.input?.optional?.default_value?.[1]?.dynamic_enum === true
-    ) {
-      nodeData.input.optional.default_value = ["DYNAMIC_ENUM"];
-      // console.log(nodeData.input.optional.default_value);
-    }
-
     // const origonNodeCreated = nodeType.prototype.onNodeCreated;
     // nodeType.prototype.onNodeCreated = function () {
     //   const r = origonNodeCreated
@@ -615,10 +516,6 @@ const ext = {
     //   return r
     // };
   },
-  
-  // async nodeCreated(node) {
- 
-  // },
 
   registerCustomNodes() {
     /** @type {LGraphNode}*/
@@ -712,106 +609,6 @@ const ext = {
     ComfyDeploy.category = "deploy";
   },
 
-  getCustomWidgets() {
-    return {
-      IMAGEPREVIEW(node, inputName, inputData) {
-        // Find or create the URL input widget
-        const urlWidget = node.addWidget(
-          "string",
-          inputName,
-          /* value=*/ "",
-          () => { },
-          { serialize: true },
-        );
-
-        const buttonWidget = node.addWidget(
-          "button",
-          "Open Assets Browser",
-          /* value=*/ "",
-          () => {
-            sendEventToCD("assets", {
-              node: node.id,
-              inputName: inputName,
-            });
-            // console.log("load image");
-          },
-          { serialize: false },
-        );
-
-        console.log(node.widgets);
-
-        console.log("urlWidget", urlWidget);
-
-        // Add image preview functionality
-        function showImage(url) {
-          const img = new Image();
-          img.onload = () => {
-            node.imgs = [img];
-            app.graph.setDirtyCanvas(true);
-            node.setSizeForImage?.();
-          };
-          img.onerror = () => {
-            node.imgs = [];
-            app.graph.setDirtyCanvas(true);
-          };
-          img.src = url;
-        }
-
-        // Set up URL widget value handling
-        let default_value = urlWidget.value;
-        Object.defineProperty(urlWidget, "value", {
-          set: function (value) {
-            this._real_value = value;
-            // Preview image when URL changes
-            if (value) {
-              showImage(value);
-            }
-          },
-          get: function () {
-            return this._real_value || default_value;
-          },
-        });
-
-        // Show initial image if URL exists
-        requestAnimationFrame(() => {
-          if (urlWidget.value) {
-            showImage(urlWidget.value);
-          }
-        });
-
-        return { widget: urlWidget };
-      },
-
-      DYNAMIC_ENUM(node, inputName, inputData) {
-        // console.log("DYNAMIC_ENUM", JSON.parse(JSON.stringify(node)), inputName, inputData);
-        const enumWidget = node.addWidget(
-          "combo",
-          inputName,
-          "",
-          { serialize: true, values: [] },
-        );
-
-        return { widget: enumWidget };
-      },
-    };
-  },
-
-  async afterConfigureGraph() {
-    app.graph.nodes.forEach(node => {
-      if (node.type === "ComfyUIDeployExternalEnum") {
-        const default_value_index = node.widgets.findIndex(x => x.name === "default_value");
-        const options_index = node.widgets.findIndex(x => x.name === "options");
-
-        var dynamic_enum_options = [node.widgets[default_value_index].value];
-        if (node.widgets[options_index].value) {
-          dynamic_enum_options = JSON.parse(node.widgets[options_index].value);
-        }
-        // console.log("dynamic_enum_options", dynamic_enum_options);
-        node.widgets[default_value_index].options.values = dynamic_enum_options;
-      }
-    });
-  },
-
   async setup() {
     // const graphCanvas = document.getElementById("graph-canvas");
 
@@ -829,7 +626,7 @@ const ext = {
             try {
               await window["app"].ui.settings.setSettingValueAsync(
                 "Comfy.Validation.Workflows",
-                true,
+                false,
               );
             } catch (error) {
               console.warning(
@@ -839,7 +636,6 @@ const ext = {
             }
             console.log("loadGraphData");
             app.loadGraphData(comfyUIWorkflow);
-            sendEventToCD("graph_loaded");
           }
         } else if (message.type === "deploy") {
           // deployWorkflow();
@@ -854,35 +650,11 @@ const ext = {
             console.warn("api.handlePromptGenerated is not a function");
           }
           sendEventToCD("cd_plugin_onQueuePrompt", prompt);
-        } else if (message.type === "configure_queue_buttons") {
-          addQueueButtons(message.data);
-        } else if (message.type === "configure_menu_right_buttons") {
-          addMenuRightButtons(message.data);
-        } else if (message.type === "configure_menu_buttons") {
-          addMenuButtons(message.data);
         } else if (message.type === "get_prompt") {
           const prompt = await app.graphToPrompt();
           sendEventToCD("cd_plugin_onGetPrompt", prompt);
         } else if (message.type === "event") {
           dispatchAPIEventData(message.data);
-        } else if (message.type === "update_widget") {
-          // New handler for updating widget values
-          const { nodeId, widgetName, value } = message.data;
-          const node = app.graph.getNodeById(nodeId);
-
-          if (!node) {
-            console.warn(`Node with ID ${nodeId} not found`);
-            return;
-          }
-
-          const widget = node.widgets?.find((w) => w.name === widgetName);
-          if (!widget) {
-            console.warn(`Widget ${widgetName} not found in node ${nodeId}`);
-            return;
-          }
-
-          widget.value = value;
-          app.graph.setDirtyCanvas(true);
         } else if (message.type === "add_node") {
           console.log("add node", message.data);
           app.graph.beforeChange();
@@ -980,9 +752,10 @@ const ext = {
         );
         await app.ui.settings.setSettingValueAsync(
           "Comfy.Sidebar.Location",
-          "left",
+          "right",
         );
-        // localStorage.setItem("Comfy.MenuPosition.Docked", "true");
+        localStorage.setItem("Comfy.MenuPosition.Docked", "true");
+        window.location.reload();
         console.log("native mode manmanman");
       } catch (error) {
         console.error("Error setting validation to false", error);
@@ -999,7 +772,6 @@ const ext = {
         }
       })(app.graph.onAfterChange);
 
-
     sendEventToCD("cd_plugin_setup");
   },
 };
@@ -1034,10 +806,10 @@ function createDynamicUIHtml(data) {
           <h3 style="font-size: 14px; font-weight: semibold; margin-bottom: 8px;">Missing Nodes</h3>
           <p style="font-size: 12px;">These nodes are not found with any matching custom_nodes in the ComfyUI Manager Database</p>
           ${data.missing_nodes
-        .map((node) => {
-          return `<p style="font-size: 14px; color: #d69e2e;">${node}</p>`;
-        })
-        .join("")}
+            .map((node) => {
+              return `<p style="font-size: 14px; color: #d69e2e;">${node}</p>`;
+            })
+            .join("")}
       </div>
   `;
   }
@@ -1045,14 +817,17 @@ function createDynamicUIHtml(data) {
   Object.values(data.custom_nodes).forEach((node) => {
     html += `
           <div style="border-bottom: 1px solid #e2e8f0; padding-top: 16px;">
-              <a href="${node.url
-      }" target="_blank" style="font-size: 18px; font-weight: semibold; color: white; text-decoration: none;">${node.name
-      }</a>
+              <a href="${
+                node.url
+              }" target="_blank" style="font-size: 18px; font-weight: semibold; color: white; text-decoration: none;">${
+                node.name
+              }</a>
               <p style="font-size: 14px; color: #4b5563;">${node.hash}</p>
-              ${node.warning
-        ? `<p style="font-size: 14px; color: #d69e2e;">${node.warning}</p>`
-        : ""
-      }
+              ${
+                node.warning
+                  ? `<p style="font-size: 14px; color: #d69e2e;">${node.warning}</p>`
+                  : ""
+              }
           </div>
       `;
   });
@@ -1066,8 +841,9 @@ function createDynamicUIHtml(data) {
   Object.entries(data.models).forEach(([section, items]) => {
     html += `
     <div style="border-bottom: 1px solid #e2e8f0; padding-top: 8px; padding-bottom: 8px;">
-        <h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${section.charAt(0).toUpperCase() + section.slice(1)
-      }</h3>`;
+        <h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${
+          section.charAt(0).toUpperCase() + section.slice(1)
+        }</h3>`;
     items.forEach((item) => {
       html += `<p style="font-size: 14px; color: ${textColor};">${item.name}</p>`;
     });
@@ -1083,8 +859,9 @@ function createDynamicUIHtml(data) {
   Object.entries(data.files).forEach(([section, items]) => {
     html += `
     <div style="border-bottom: 1px solid #e2e8f0; padding-top: 8px; padding-bottom: 8px;">
-        <h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${section.charAt(0).toUpperCase() + section.slice(1)
-      }</h3>`;
+        <h3 style="font-size: 18px; font-weight: semibold; margin-bottom: 8px;">${
+          section.charAt(0).toUpperCase() + section.slice(1)
+        }</h3>`;
     items.forEach((item) => {
       html += `<p style="font-size: 14px; color: ${textColor};">${item.name}</p>`;
     });
@@ -1185,8 +962,6 @@ async function deployWorkflow() {
   const prompt = await app.graphToPrompt();
   let deps = undefined;
 
-  console.log(prompt);
-
   if (includeDeps) {
     loadingDialog.showLoading("Fetching existing version");
 
@@ -1513,6 +1288,8 @@ function addButton() {
 
 app.registerExtension(ext);
 
+import { ComfyDialog, $el } from "../../scripts/ui.js";
+
 export class InfoDialog extends ComfyDialog {
   constructor() {
     super();
@@ -1604,12 +1381,14 @@ export class LoadingDialog extends ComfyDialog {
   showLoading(title, message) {
     this.show(`
       <div style="width: 400px; display: flex; gap: 18px; flex-direction: column; overflow: unset">
-        <h3 style="margin: 0px; display: flex; align-items: center; justify-content: center; gap: 12px;">${title} ${this.loadingIcon
-      }</h3>
-          ${message
-        ? `<label style="max-width: 100%; white-space: pre-wrap; word-wrap: break-word;">${message}</label>`
-        : ""
-      }
+        <h3 style="margin: 0px; display: flex; align-items: center; justify-content: center; gap: 12px;">${title} ${
+          this.loadingIcon
+        }</h3>
+          ${
+            message
+              ? `<label style="max-width: 100%; white-space: pre-wrap; word-wrap: break-word;">${message}</label>`
+              : ""
+          }
         </div>
       `);
   }
@@ -1875,17 +1654,21 @@ export class ConfigDialog extends ComfyDialog {
     </label>
       <label style="color: white; width: 100%;">
         Endpoint:
-        <input id="endpoint" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="text" value="${data.endpoint
-      }">
+        <input id="endpoint" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="text" value="${
+          data.endpoint
+        }">
       </label>
       <div style="color: white;">
-        API Key: User / Org <button style="font-size: 18px;">${data.displayName ?? ""
-      }</button>
-        <input id="apiKey" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="password" value="${data.apiKey
-      }">
+        API Key: User / Org <button style="font-size: 18px;">${
+          data.displayName ?? ""
+        }</button>
+        <input id="apiKey" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;" type="password" value="${
+          data.apiKey
+        }">
         <button id="loginButton" style="margin-top: 8px; width: 100%; height:40px; box-sizing: border-box; padding: 0px 6px;">
-          ${data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
-      }
+          ${
+            data.apiKey ? "Re-login with ComfyDeploy" : "Login with ComfyDeploy"
+          }
         </button>
       </div>
       </div>
@@ -1977,7 +1760,7 @@ app.extensionManager.registerSidebarTab({
       <div style="padding: 20px;">
         <h3>Comfy Deploy</h3>
         <div id="deploy-container" style="margin-bottom: 20px;"></div>
-        <div id="workflows-container" style="display: none;">
+        <div id="workflows-container">
           <h4>Your Workflows</h4>
           <div id="workflows-loading" style="display: flex; justify-content: center; align-items: center; height: 100px;">
             ${loadingIcon}
@@ -2065,7 +1848,7 @@ async function loadWorkflowApi(versionId) {
     console.log("Workflow API loaded:", response);
     await window["app"].ui.settings.setSettingValueAsync(
       "Comfy.Validation.Workflows",
-      true,
+      false,
     );
     app.loadGraphData(response.workflow);
     // You might want to update the UI or trigger some action in ComfyUI here
@@ -2077,16 +1860,10 @@ async function loadWorkflowApi(versionId) {
 
 const orginal_fetch_api = api.fetchApi;
 api.fetchApi = async (route, options) => {
-  // console.log("Fetch API called with args:", route, options, ext.native_mode);
+  console.log("Fetch API called with args:", route, options, ext.native_mode);
 
   if (route.startsWith("/prompt") && ext.native_mode) {
     const info = await getSelectedWorkflowInfo();
-
-    if (!info.workflow_id) {
-      console.log("No workflow id found, fallback to original fetch");
-      return await orginal_fetch_api.call(api, route, options);
-    }
-
     console.log("info", info);
     if (info) {
       const body = JSON.parse(options.body);
@@ -2100,7 +1877,6 @@ api.fetchApi = async (route, options) => {
         workflow_id: info.workflow_id,
         native_run_api_endpoint: info.native_run_api_endpoint,
         gpu_event_id: info.gpu_event_id,
-        gpu: info.gpu,
       };
 
       return await fetch("/comfyui-deploy/run", {
@@ -2116,306 +1892,3 @@ api.fetchApi = async (route, options) => {
 
   return await orginal_fetch_api.call(api, route, options);
 };
-
-// Intercept window drag and drop events
-const originalDropHandler = document.ondrop;
-document.ondrop = async (e) => {
-  console.log("Drop event intercepted:", e);
-
-  // Prevent default browser behavior
-  e.preventDefault();
-
-  // Handle files if present
-  if (e.dataTransfer?.files?.length > 0) {
-    const files = Array.from(e.dataTransfer.files);
-
-    // Send file data to parent directly as JSON
-    sendDirectEventToCD("file_drop", {
-      files: files,
-      x: e.clientX,
-      y: e.clientY,
-      timestamp: Date.now(),
-    });
-  }
-
-  // Call original handler if exists
-  if (originalDropHandler) {
-    originalDropHandler(e);
-  }
-};
-
-const originalDragEnterHandler = document.ondragenter;
-document.ondragenter = (e) => {
-  // Prevent default to allow drop
-  e.preventDefault();
-
-  // Send dragenter event to parent directly as JSON
-  sendDirectEventToCD("file_dragenter", {
-    x: e.clientX,
-    y: e.clientY,
-    timestamp: Date.now(),
-  });
-
-  if (originalDragEnterHandler) {
-    originalDragEnterHandler(e);
-  }
-};
-
-const originalDragLeaveHandler = document.ondragleave;
-document.ondragleave = (e) => {
-  // Prevent default to allow drop
-  e.preventDefault();
-
-  // Send dragleave event to parent directly as JSON
-  sendDirectEventToCD("file_dragleave", {
-    x: e.clientX,
-    y: e.clientY,
-    timestamp: Date.now(),
-  });
-
-  if (originalDragLeaveHandler) {
-    originalDragLeaveHandler(e);
-  }
-};
-
-const originalDragOverHandler = document.ondragover;
-document.ondragover = (e) => {
-  // Prevent default to allow drop
-  e.preventDefault();
-
-  // Send dragover event to parent directly as JSON
-  sendDirectEventToCD("file_dragover", {
-    x: e.clientX,
-    y: e.clientY,
-    timestamp: Date.now(),
-  });
-
-  if (originalDragOverHandler) {
-    originalDragOverHandler(e);
-  }
-};
-
-// Function to create a single button
-function createQueueButton(config) {
-  const button = document.createElement("button");
-  button.id = `cd-button-${config.id}`;
-  button.className =
-    "p-button p-component p-button-icon-only p-button-secondary p-button-text";
-  button.innerHTML = `
-    <span class="p-button-icon pi ${config.icon}"></span>
-    <span class="p-button-label">&nbsp;</span>
-  `;
-  button.onclick = () => {
-    const eventData =
-      typeof config.eventData === "function"
-        ? config.eventData()
-        : config.eventData || {};
-    sendEventToCD(config.event, eventData);
-  };
-  button.setAttribute("data-pd-tooltip", config.tooltip);
-  return button;
-}
-
-// Function to add buttons to queue group
-function addQueueButtons(buttonConfigs = DEFAULT_BUTTONS) {
-  const queueButtonGroup = document.querySelector(".queue-button-group.flex");
-  if (!queueButtonGroup) return;
-
-  // Remove any existing CD buttons
-  const existingButtons =
-    queueButtonGroup.querySelectorAll('[id^="cd-button-"]');
-  existingButtons.forEach((button) => button.remove());
-
-  // Add new buttons
-  buttonConfigs.forEach((config) => {
-    const button = createQueueButton(config);
-    queueButtonGroup.appendChild(button);
-  });
-}
-
-// addMenuRightButtons([
-//   {
-//     id: "cd-button-save-image",
-//     icon: "pi-save",
-//     label: "Snapshot",
-//     tooltip: "Save the current image to your output directory.",
-//     event: "save_image",
-//     eventData: () => ({}),
-//   },
-// ]);
-
-// addMenuLeftButtons([
-//   {
-//     id: "cd-button-back",
-//     icon: `<svg width="16" height="16" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
-//       <path d="M15 18L9 12L15 6" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
-//     </svg>`,
-//     tooltip: "Go back to the previous page.",
-//     event: "back",
-//     eventData: () => ({}),
-//   },
-// ]);
-
-// addMenuButtons({
-//   containerSelector: "body > div.comfyui-body-top > div",
-//   buttonConfigs: [
-//     {
-//       id: "cd-button-workflow-1",
-//       icon: `<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24"><path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m16 3l4 4l-4 4m-6-4h10M8 13l-4 4l4 4m-4-4h9"/></svg>`,
-//       label: "Workflow",
-//       tooltip: "Go to Workflow 1",
-//       event: "workflow_1",
-//       // btnClasses: "",
-//       eventData: () => ({}),
-//     },
-//     {
-//       id: "cd-button-workflow-3",
-//       // icon: `<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24"><path fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="m16 3l4 4l-4 4m-6-4h10M8 13l-4 4l4 4m-4-4h9"/></svg>`,
-//       label: "v1",
-//       tooltip: "Go to Workflow 1",
-//       event: "workflow_1",
-//       // btnClasses: "",
-//       eventData: () => ({}),
-//     },
-//     {
-//       id: "cd-button-workflow-2",
-//       icon: `<svg xmlns="http://www.w3.org/2000/svg" width="20" height="20" viewBox="0 0 24 24"><g fill="none" stroke="currentColor" stroke-linecap="round" stroke-linejoin="round" stroke-width="2"><path d="M12 3v6"/><circle cx="12" cy="12" r="3"/><path d="M12 15v6"/></g></svg>`,
-//       label: "Commit",
-//       tooltip: "Commit the current workflow",
-//       event: "commit",
-//       style: {
-//         backgroundColor: "oklch(.476 .114 61.907)",
-//       },
-//       eventData: () => ({}),
-//     },
-//   ],
-//   buttonIdPrefix: "cd-button-workflow-",
-//   insertBefore:
-//     "body > div.comfyui-body-top > div > div.flex-grow.min-w-0.app-drag.h-full",
-//   // containerStyle: { order: "3" }
-// });
-
-// addMenuButtons({
-//   containerSelector:
-//     "body > div.comfyui-body-top > div > div.flex-grow.min-w-0.app-drag.h-full",
-//   clearContainer: true,
-//   buttonConfigs: [],
-//   buttonIdPrefix: "cd-button-p-",
-//   containerStyle: { order: "-1" },
-// });
-
-// Function to add buttons to a menu container
-function addMenuButtons(options) {
-  const {
-    containerSelector,
-    buttonConfigs,
-    buttonIdPrefix = "cd-button-",
-    containerClass = "comfyui-button-group",
-    containerStyle = {},
-    clearContainer = false,
-    insertBefore = null, // New option to specify selector for insertion point
-  } = options;
-
-  const menuContainer = document.querySelector(containerSelector);
-
-  if (!menuContainer) return;
-
-  // Remove any existing CD buttons
-  const existingButtons = document.querySelectorAll(
-    `[id^="${buttonIdPrefix}"]`,
-  );
-  existingButtons.forEach((button) => button.remove());
-
-  const container = document.createElement("div");
-  container.className = containerClass;
-
-  // Apply container styles
-  Object.assign(container.style, containerStyle);
-
-  // Clear existing content if specified
-  if (clearContainer) {
-    menuContainer.innerHTML = "";
-  }
-
-  // Create and add buttons
-  buttonConfigs.forEach((config) => {
-    const button = createMenuButton({
-      ...config,
-      idPrefix: buttonIdPrefix,
-    });
-    container.appendChild(button);
-  });
-
-  // Insert before specified element if provided, otherwise append
-  if (insertBefore) {
-    const targetElement = menuContainer.querySelector(insertBefore);
-    if (targetElement) {
-      menuContainer.insertBefore(container, targetElement);
-    } else {
-      menuContainer.appendChild(container);
-    }
-  } else {
-    menuContainer.appendChild(container);
-  }
-}
-
-function createMenuButton(config) {
-  const {
-    id,
-    icon,
-    label,
-    btnClasses = "",
-    tooltip,
-    event,
-    eventData,
-    idPrefix,
-    style = {},
-  } = config;
-
-  const button = document.createElement("button");
-  button.id = `${idPrefix}${id}`;
-  button.className = `comfyui-button ${btnClasses}`;
-  Object.assign(button.style, style);
-
-  // Only add icon if provided
-  const iconHtml = icon
-    ? icon.startsWith("<svg")
-      ? icon
-      : `<span class="p-button-icon pi ${icon}"></span>`
-    : "";
-
-  button.innerHTML = `
-    ${iconHtml}
-    ${label ? `<span class="p-button-label text-sm">${label}</span>` : ""}
-  `;
-
-  button.onclick = () => {
-    const data =
-      typeof eventData === "function" ? eventData() : eventData || {};
-    sendEventToCD(event, data);
-  };
-
-  if (tooltip) {
-    button.setAttribute("data-pd-tooltip", tooltip);
-  }
-  return button;
-}
-
-// Refactored menu button functions
-function addMenuLeftButtons(buttonConfigs) {
-  addMenuButtons({
-    containerSelector: "body > div.comfyui-body-top > div",
-    buttonConfigs,
-    buttonIdPrefix: "cd-button-left-",
-    containerStyle: { order: "-1" },
-  });
-}
-
-function addMenuRightButtons(buttonConfigs) {
-  addMenuButtons({
-    containerSelector: ".comfyui-menu-right .flex",
-    buttonConfigs,
-    buttonIdPrefix: "cd-button-",
-    containerStyle: {},
-  });
-}

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;