add: name

.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
+.DS_Store
-file-hash-cache.json

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/comfy_std_output.py

@@ -0,0 +1,46 @@
+import json
+
+
+class AnyType(str):
+    """A special class that is always equal in not equal comparisons. Credit to pythongosssss"""
+
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+any = AnyType("*")
+
+
+class ComfyDeployStdOutputAny:
+    @classmethod
+    def INPUT_TYPES(cls):  # pylint: disable = invalid-name, missing-function-docstring
+        return {
+            "required": {
+                "name": ("STRING", {"default": "ComfyUI"}),
+                "source": (any, {}),  # Use "*" to accept any input type
+            },
+        }
+
+    CATEGORY = "output"
+    RETURN_TYPES = ()
+    FUNCTION = "run"
+    OUTPUT_NODE = True
+
+    def run(self, name, source=None):
+        value = "None"
+        if source is not None:
+            try:
+                value = json.dumps(source)
+            except Exception:
+                try:
+                    value = str(source)
+                except Exception:
+                    value = "source exists, but could not be serialized."
+
+        return {"ui": {name: (value,)}}
+
+
+NODE_CLASS_MAPPINGS = {"ComfyDeployStdOutputAny": ComfyDeployStdOutputAny}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ComfyDeployStdOutputAny": "Standard Any Output (ComfyDeploy)"
+}

comfy-nodes/comfy_std_output_image.py

@@ -6,7 +6,7 @@ from PIL.PngImagePlugin import PngInfo
 import folder_paths
 
 
-class ComfyDeployOutputImage:
+class ComfyDeployStdOutputImage:
     def __init__(self):
         self.output_dir = folder_paths.get_output_directory()
         self.type = "output"
@@ -28,12 +28,6 @@ class ComfyDeployOutputImage:
                 "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"},
         }
 
@@ -41,7 +35,8 @@ class ComfyDeployOutputImage:
     FUNCTION = "run"
 
     OUTPUT_NODE = True
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "output"
     DESCRIPTION = "Saves the input images to your ComfyUI output directory."
 
     def run(
@@ -50,7 +45,6 @@ class ComfyDeployOutputImage:
         filename_prefix="ComfyUI",
         file_type="png",
         quality=80,
-        output_id="output_images",
         prompt=None,
         extra_pnginfo=None,
     ):
@@ -85,17 +79,14 @@ class ComfyDeployOutputImage:
                 img.save(file_path, quality=quality)
 
             results.append(
-                {
+                {"filename": file, "subfolder": subfolder, "type": self.type}
-                    "filename": file,
-                    "subfolder": subfolder,
-                    "type": self.type,
-                    "output_id": output_id,
-                }
             )
             counter += 1
 
         return {"ui": {"images": results}}
 
 
-NODE_CLASS_MAPPINGS = {"ComfyDeployOutputImage": ComfyDeployOutputImage}
+NODE_CLASS_MAPPINGS = {"ComfyDeployStdOutputImage": ComfyDeployStdOutputImage}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyDeployOutputImage": "Image Output (ComfyDeploy)"}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ComfyDeployStdOutputImage": "Standard Image Output (ComfyDeploy)"
+}

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:
-        # Try both input_id and default_value_url
+            if input_id.startswith('http'):
-        urls_to_try = [url for url in [input_id, default_value_url] if url]
+                import requests
-        
+                from io import BytesIO
-        print(default_value_url)
+                print("Fetching image from url: ", input_id)
-        
+                response = requests.get(input_id)
-        for url in urls_to_try:
+                image = Image.open(BytesIO(response.content))
-            try:
+            elif input_id.startswith('data:image/png;base64,') or input_id.startswith('data:image/jpeg;base64,') or input_id.startswith('data:image/jpg;base64,'):
-                if url.startswith('http'):
+                import base64
-                    import requests
+                from io import BytesIO
-                    from io import BytesIO
+                print("Decoding base64 image")
-                    print(f"Fetching image from url: {url}")
+                base64_image = input_id[input_id.find(",")+1:]
-                    response = requests.get(url)
+                decoded_image = base64.b64decode(base64_image)
-                    image = Image.open(BytesIO(response.content))
+                image = Image.open(BytesIO(decoded_image))
-                    break
+            else:
-                elif url.startswith(('data:image/png;base64,', 'data:image/jpeg;base64,', 'data:image/jpg;base64,')):
+                raise ValueError("Invalid image url provided.")
-                    import base64
+
-                    from io import BytesIO
+            image = ImageOps.exif_transpose(image)
-                    print("Decoding base64 image")
+            image = image.convert("RGB")
-                    base64_image = url[url.find(",")+1:]
+            image = np.array(image).astype(np.float32) / 255.0
-                    decoded_image = base64.b64decode(base64_image)
+            image = torch.from_numpy(image)[None,]
-                    image = Image.open(BytesIO(decoded_image))
+            return [image]
-                    break
+        except:
-            except:
+            return [image]
-                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]
 
 
 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

@@ -46,8 +46,10 @@ class ComfyUIDeployExternalLora:
 
     RETURN_TYPES = (WILDCARD,)
     RETURN_NAMES = ("path",)
+
     FUNCTION = "run"
-    CATEGORY = "🔗ComfyDeploy"
+
+    CATEGORY = "deploy"
 
     def run(
         self,
@@ -62,42 +64,32 @@ class ComfyUIDeployExternalLora:
         import os
         import uuid
 
-        if lora_url:
+        if lora_url and lora_url.startswith("http"):
-            if lora_url.startswith("http"):
+            if lora_save_name:
-                if lora_save_name:
+                existing_loras = folder_paths.get_filename_list("loras")
-                    existing_loras = folder_paths.get_filename_list("loras")
+                # Check if lora_save_name exists in the list
-                    # Check if lora_save_name exists in the list
+                if lora_save_name in existing_loras:
-                    if lora_save_name in existing_loras:
+                    print(f"using lora: {lora_save_name}")
-                        print(f"using lora: {lora_save_name}")
+                    return (lora_save_name,)
-                        return (lora_save_name,)
-                else:
-                    lora_save_name = str(uuid.uuid4()) + ".safetensors"
-                print(lora_save_name)
-                print(folder_paths.folder_names_and_paths["loras"][0][0])
-                destination_path = os.path.join(
-                    folder_paths.folder_names_and_paths["loras"][0][0], lora_save_name
-                )
-                print(destination_path)
-                print(
-                    "Downloading external lora - "
-                    + lora_url
-                    + " to "
-                    + destination_path
-                )
-                response = requests.get(
-                    lora_url,
-                    headers={"User-Agent": "Mozilla/5.0"},
-                    allow_redirects=True,
-                )
-                with open(destination_path, "wb") as out_file:
-                    out_file.write(response.content)
-                print(f"Ext Lora loading: {lora_url} to {lora_save_name}")
-                return (lora_save_name,)
             else:
-                print(f"Ext Lora loading: {lora_url}")
+                lora_save_name = str(uuid.uuid4()) + ".safetensors"
-                return (lora_url,)
+            print(lora_save_name)
+            print(folder_paths.folder_names_and_paths["loras"][0][0])
+            destination_path = os.path.join(
+                folder_paths.folder_names_and_paths["loras"][0][0], lora_save_name
+            )
+            print(destination_path)
+            print("Downloading external lora - " + lora_url + " to " + destination_path)
+            response = requests.get(
+                lora_url,
+                headers={"User-Agent": "Mozilla/5.0"},
+                allow_redirects=True,
+            )
+            with open(destination_path, "wb") as out_file:
+                out_file.write(response.content)
+            return (lora_save_name,)
         else:
-            print(f"Ext Lora loading: {default_lora_name}")
+            print(f"using lora: {default_lora_name}")
             return (default_lora_name,)
 
 

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

@@ -1,53 +0,0 @@
-import re
-
-
-class StringFunction:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "action": (["append", "replace"], {}),
-                "tidy_tags": (["yes", "no"], {}),
-            },
-            "optional": {
-                "text_a": ("STRING", {"multiline": True, "dynamicPrompts": False}),
-                "text_b": ("STRING", {"multiline": True, "dynamicPrompts": False}),
-                "text_c": ("STRING", {"multiline": True, "dynamicPrompts": False}),
-            },
-        }
-
-    RETURN_TYPES = ("STRING",)
-    FUNCTION = "exec"
-    CATEGORY = "🔗ComfyDeploy"
-    OUTPUT_NODE = True
-
-    def exec(self, action, tidy_tags, text_a="", text_b="", text_c=""):
-        tidy_tags = tidy_tags == "yes"
-        out = ""
-        if action == "append":
-            out = (", " if tidy_tags else "").join(
-                filter(None, [text_a, text_b, text_c])
-            )
-        else:
-            if text_c is None:
-                text_c = ""
-            if text_b.startswith("/") and text_b.endswith("/"):
-                regex = text_b[1:-1]
-                out = re.sub(regex, text_c, text_a)
-            else:
-                out = text_a.replace(text_b, text_c)
-        if tidy_tags:
-            out = re.sub(r"\s{2,}", " ", out)
-            out = out.replace(" ,", ",")
-            out = re.sub(r",{2,}", ",", out)
-            out = out.strip()
-        return {"ui": {"text": (out,)}, "result": (out,)}
-
-
-NODE_CLASS_MAPPINGS = {
-    "ComfyUIDeployStringCombine": StringFunction,
-}
-
-NODE_DISPLAY_NAME_MAPPINGS = {
-    "ComfyUIDeployStringCombine": "String Combine (ComfyUI Deploy)",
-}

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_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
-          ]
-        }
-      ],
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-        "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)"
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examples/flux-dev.json

@@ -1,359 +0,0 @@
-{
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-      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
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-    [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"]
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-          "pos": [10, 36],
-          "link": 58,
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-          "widget": { "name": "text" }
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-      "bgcolor": "#353",
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-          "links": [56],
-          "slot_index": 0
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-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-      "id": 31,
-      "pos": [816, 192],
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-      "flags": {},
-      "order": 10,
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-        { "link": 55, "name": "negative", "type": "CONDITIONING" },
-        { "link": 51, "name": "latent_image", "type": "LATENT" }
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-    {
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-      "flags": {},
-      "order": 9,
-      "inputs": [
-        { "link": 56, "name": "conditioning", "type": "CONDITIONING" }
-      ],
-      "outputs": [
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-          "type": "CONDITIONING",
-          "links": [57],
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-      "outputs": [],
-      "properties": {},
-      "widgets_values": [
-        "🛈 [Learn more about this workflow](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-dev-1)"
-      ]
-    },
-    {
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-      "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."
-      ]
-    },
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-      "id": 30,
-      "pos": [48, 192],
-      "mode": 0,
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-      "bgcolor": "#533",
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-        "Prompt",
-        "The prompt to generate an image from."
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-  "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": [
-        {
-          "name": "output",
-          "type": "LATENT",
-          "links": [24],
-          "shape": 3,
-          "slot_index": 0
-        },
-        {
-          "name": "denoised_output",
-          "type": "LATENT",
-          "links": null,
-          "shape": 3
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-      "properties": { "Node name for S&R": "SamplerCustomAdvanced" },
-      "widgets_values": []
-    },
-    {
-      "id": 8,
-      "pos": [1248, 192],
-      "mode": 0,
-      "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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-      "mode": 0,
-      "size": [241.79998779296875, 46],
-      "type": "BasicGuider",
-      "flags": {},
-      "order": 13,
-      "inputs": [
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-        {
-          "link": 40,
-          "name": "conditioning",
-          "type": "CONDITIONING",
-          "slot_index": 1
-        }
-      ],
-      "outputs": [
-        {
-          "name": "GUIDER",
-          "type": "GUIDER",
-          "links": [30],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "BasicGuider" },
-      "widgets_values": []
-    },
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-      "id": 16,
-      "pos": [480, 720],
-      "mode": 0,
-      "size": [315, 58],
-      "type": "KSamplerSelect",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "outputs": [
-        { "name": "SAMPLER", "type": "SAMPLER", "links": [19], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "KSamplerSelect" },
-      "widgets_values": ["euler"]
-    },
-    {
-      "id": 17,
-      "pos": [480, 816],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "BasicScheduler",
-      "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]
-    },
-    {
-      "id": 27,
-      "pos": [480, 960],
-      "mode": 0,
-      "size": [311.3529052734375, 131.16229248046875],
-      "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"]
-    },
-    {
-      "id": 25,
-      "pos": [480, 587.7890625],
-      "mode": 0,
-      "size": [315, 82],
-      "type": "RandomNoise",
-      "color": "#2a363b",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "bgcolor": "#3f5159",
-      "outputs": [
-        { "name": "NOISE", "type": "NOISE", "links": [37], "shape": 3 }
-      ],
-      "properties": { "Node name for S&R": "RandomNoise" },
-      "widgets_values": [393845863554716, "randomize"]
-    },
-    {
-      "id": 5,
-      "pos": [471.7746276855469, 423.91571044921875],
-      "mode": 0,
-      "size": [315, 126],
-      "type": "EmptyLatentImage",
-      "color": "#323",
-      "flags": {},
-      "order": 12,
-      "inputs": [
-        {
-          "pos": [10, 36],
-          "link": 44,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "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]
-    },
-    {
-      "id": 26,
-      "pos": [41.60395812988281, 517.059326171875],
-      "mode": 0,
-      "size": [336, 288],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "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."
-      ]
-    },
-    {
-      "id": 11,
-      "pos": [45.584651947021484, 229.13525390625],
-      "mode": 0,
-      "size": [315, 122],
-      "type": "DualCLIPLoader",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [10],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "DualCLIPLoader" },
-      "widgets_values": [
-        "t5xxl_fp16.safetensors",
-        "clip_l.safetensors",
-        "flux",
-        "default"
-      ]
-    },
-    {
-      "id": 12,
-      "pos": [45.92215347290039, 95.6536865234375],
-      "mode": 0,
-      "size": [315, 82],
-      "type": "UNETLoader",
-      "color": "#223",
-      "flags": { "pinned": true },
-      "order": 5,
-      "inputs": [],
-      "bgcolor": "#335",
-      "outputs": [
-        {
-          "name": "MODEL",
-          "type": "MODEL",
-          "links": [38, 39],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["flux1-schnell.safetensors", "default"]
-    },
-    {
-      "id": 6,
-      "pos": [385.87054443359375, 216.75625610351562],
-      "mode": 0,
-      "size": [422.84503173828125, 164.31304931640625],
-      "type": "CLIPTextEncode",
-      "color": "#232",
-      "flags": {},
-      "order": 11,
-      "inputs": [
-        { "link": 10, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 41,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#353",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [40],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "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"
-      ]
-    },
-    {
-      "id": 10,
-      "pos": [42.45906066894531, 405.2187805175781],
-      "mode": 0,
-      "size": [315, 58],
-      "type": "VAELoader",
-      "flags": {},
-      "order": 6,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "VAE",
-          "type": "VAE",
-          "links": [12],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "VAELoader" },
-      "widgets_values": ["ae.sft"]
-    },
-    {
-      "id": 28,
-      "pos": [-620.3922119140625, 199.8013916015625],
-      "mode": 0,
-      "size": [400, 200],
-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [41] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "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],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
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-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 1024, "Width", "The width of the image."]
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-      "id": 30,
-      "pos": [-670.0703735351562, 848.3707885742188],
-      "mode": 0,
-      "size": [453.5999755859375, 200],
-      "type": "ComfyUIDeployExternalNumberInt",
-      "flags": {},
-      "order": 9,
-      "inputs": [],
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-        { "name": "value", "type": "INT", "links": [45], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["height", 1024, "Height", "The height of the image."]
-    }
-  ],
-  "config": {},
-  "groups": [
-    {
-      "id": 1,
-      "color": "#3f789e",
-      "flags": {},
-      "title": "Input",
-      "bounding": [
-        -652.184326171875, 99.11231994628906, 565.7923583984375,
-        362.8800354003906
-      ],
-      "font_size": 24
-    },
-    {
-      "id": 2,
-      "color": "#A88",
-      "flags": {},
-      "title": "Additional",
-      "bounding": [
-        -720.3274536132812, 508.1206970214844, 703.0422973632812,
-        576.5584716796875
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-      "font_size": 24
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-  "version": 0.4,
-  "last_link_id": 45,
-  "last_node_id": 30
-}

examples/hunyuan-video.json

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

examples/stable-diffusion-v15.json

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

examples/stable-diffusion-v35-large.json

@@ -1,409 +0,0 @@
-{
-  "extra": {
-    "ds": {
-      "scale": 0.620921323059155,
-      "offset": [1535.1422819333457, 285.0502099350181]
-    },
-    "node_versions": {
-      "comfy-core": "0.3.12",
-      "comfyui-deploy": "171a227856bd5f31e97828d89f83f3741004d05e"
-    }
-  },
-  "links": [
-    [7, 3, 0, 8, 0, "LATENT"],
-    [21, 16, 0, 3, 1, "CONDITIONING"],
-    [51, 8, 0, 9, 0, "IMAGE"],
-    [53, 4, 2, 8, 1, "VAE"],
-    [80, 40, 0, 3, 2, "CONDITIONING"],
-    [99, 4, 0, 3, 0, "MODEL"],
-    [100, 53, 0, 3, 3, "LATENT"],
-    [103, 43, 0, 16, 0, "CLIP"],
-    [104, 43, 0, 40, 0, "CLIP"],
-    [105, 54, 0, 16, 1, "STRING"],
-    [106, 55, 0, 40, 1, "STRING"],
-    [107, 56, 0, 53, 0, "INT"],
-    [108, 57, 0, 53, 1, "INT"]
-  ],
-  "nodes": [
-    {
-      "id": 8,
-      "pos": [1200, 96],
-      "mode": 0,
-      "size": [210, 46],
-      "type": "VAEDecode",
-      "flags": {},
-      "order": 14,
-      "inputs": [
-        { "link": 7, "name": "samples", "type": "LATENT" },
-        { "link": 53, "name": "vae", "type": "VAE", "slot_index": 1 }
-      ],
-      "outputs": [
-        { "name": "IMAGE", "type": "IMAGE", "links": [51], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "VAEDecode" },
-      "widgets_values": []
-    },
-    {
-      "id": 9,
-      "pos": [1440, 96],
-      "mode": 0,
-      "size": [952.5112915039062, 1007.9328002929688],
-      "type": "SaveImage",
-      "flags": {},
-      "order": 15,
-      "inputs": [
-        { "link": 51, "name": "images", "type": "IMAGE", "slot_index": 0 }
-      ],
-      "outputs": [],
-      "properties": {},
-      "widgets_values": ["ComfyUI"]
-    },
-    {
-      "id": 53,
-      "pos": [480, 576],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "EmptySD3LatentImage",
-      "flags": {},
-      "order": 10,
-      "inputs": [
-        {
-          "link": 107,
-          "name": "width",
-          "type": "INT",
-          "widget": { "name": "width" }
-        },
-        {
-          "link": 108,
-          "name": "height",
-          "type": "INT",
-          "widget": { "name": "height" }
-        }
-      ],
-      "outputs": [
-        {
-          "name": "LATENT",
-          "type": "LATENT",
-          "links": [100],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "EmptySD3LatentImage" },
-      "widgets_values": [1024, 1024, 1]
-    },
-    {
-      "id": 50,
-      "pos": [-384, 144],
-      "mode": 0,
-      "size": [223.34756469726562, 254.37765502929688],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 0,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "SD3 supports different text encoder configurations, you can see how to load them here.\n\n\nMake sure to put these files:\nclip_g.safetensors\nclip_l.safetensors\nt5xxl_fp16.safetensors\n\n\nIn the ComfyUI/models/clip directory"
-      ]
-    },
-    {
-      "id": 41,
-      "pos": [-96, 0],
-      "mode": 0,
-      "size": [315, 82],
-      "type": "CLIPLoader",
-      "flags": {},
-      "order": 1,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
-      "widgets_values": ["t5xxl_fp16.safetensors", "sd3", "default"]
-    },
-    {
-      "id": 4,
-      "pos": [-96, 480],
-      "mode": 0,
-      "size": [384.75592041015625, 98],
-      "type": "CheckpointLoaderSimple",
-      "flags": {},
-      "order": 2,
-      "inputs": [],
-      "outputs": [
-        { "name": "MODEL", "type": "MODEL", "links": [99], "slot_index": 0 },
-        { "name": "CLIP", "type": "CLIP", "links": [], "slot_index": 1 },
-        { "name": "VAE", "type": "VAE", "links": [53], "slot_index": 2 }
-      ],
-      "properties": { "Node name for S&R": "CheckpointLoaderSimple" },
-      "widgets_values": ["sd3.5_large.safetensors"]
-    },
-    {
-      "id": 3,
-      "pos": [864, 96],
-      "mode": 0,
-      "size": [315, 474],
-      "type": "KSampler",
-      "flags": {},
-      "order": 13,
-      "inputs": [
-        { "link": 99, "name": "model", "type": "MODEL", "slot_index": 0 },
-        { "link": 21, "name": "positive", "type": "CONDITIONING" },
-        { "link": 80, "name": "negative", "type": "CONDITIONING" },
-        { "link": 100, "name": "latent_image", "type": "LATENT" }
-      ],
-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [7], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
-      "widgets_values": [
-        797639488625463,
-        "randomize",
-        20,
-        5.45,
-        "euler",
-        "sgm_uniform",
-        1
-      ]
-    },
-    {
-      "id": 51,
-      "pos": [-96, 624],
-      "mode": 0,
-      "size": [384, 192],
-      "type": "Note",
-      "color": "#432",
-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "bgcolor": "#653",
-      "outputs": [],
-      "properties": { "text": "" },
-      "widgets_values": [
-        "sd3.5_large.safetensors and sd3.5_medium.safetensors are files that do not contain any CLIP/text encoder weights so you need to load them separately.\n\nThey go in the ComfyUI/models/checkpoints directory."
-      ]
-    },
-    {
-      "id": 43,
-      "pos": [-96, 288],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "TripleCLIPLoader",
-      "flags": {},
-      "order": 4,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [103, 104],
-          "shape": 3,
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "TripleCLIPLoader" },
-      "widgets_values": [
-        "clip_l.safetensors",
-        "clip_g.safetensors",
-        "t5xxl_fp16.safetensors"
-      ]
-    },
-    {
-      "id": 42,
-      "pos": [-96, 144],
-      "mode": 0,
-      "size": [315, 106],
-      "type": "DualCLIPLoader",
-      "flags": {},
-      "order": 5,
-      "inputs": [],
-      "outputs": [
-        {
-          "name": "CLIP",
-          "type": "CLIP",
-          "links": [],
-          "shape": 3,
-          "slot_index": 0
-        }
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-          "name": "text",
-          "type": "STRING",
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-          "type": "CONDITIONING",
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-          "type": "CONDITIONING",
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-      "properties": { "Node name for S&R": "CLIPTextEncode" },
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-  "groups": [
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-      "id": 1,
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-      "flags": {},
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-      "font_size": 24
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-}

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

@@ -1,452 +0,0 @@
-{
-  "extra": {
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-      "scale": 0.6934334949441662,
-      "offset": [276.7941771713029, -7.923387380923855]
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-    [75, 38, 0, 7, 0, "CLIP"],
-    [76, 39, 0, 8, 1, "VAE"],
-    [93, 8, 0, 47, 0, "IMAGE"],
-    [94, 49, 0, 51, 0, "CLIP_VISION"],
-    [97, 6, 0, 50, 0, "CONDITIONING"],
-    [98, 7, 0, 50, 1, "CONDITIONING"],
-    [99, 39, 0, 50, 2, "VAE"],
-    [101, 50, 0, 3, 1, "CONDITIONING"],
-    [102, 50, 1, 3, 2, "CONDITIONING"],
-    [103, 50, 2, 3, 3, "LATENT"],
-    [107, 51, 0, 50, 3, "CLIP_VISION_OUTPUT"],
-    [110, 37, 0, 54, 0, "MODEL"],
-    [111, 54, 0, 3, 0, "MODEL"],
-    [112, 55, 0, 6, 1, "STRING"],
-    [113, 56, 0, 7, 1, "STRING"],
-    [115, 57, 0, 50, 4, "IMAGE"],
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-    [117, 58, 0, 50, 5, "INT"],
-    [118, 59, 0, 50, 6, "INT"]
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-  "nodes": [
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-      "properties": { "Node name for S&R": "SaveWEBM" },
-      "widgets_values": ["ComfyUI", "vp9", 24, 32]
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-        { "link": 103, "name": "latent_image", "type": "LATENT" }
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-          "name": "CLIP_VISION_OUTPUT",
-          "type": "CLIP_VISION_OUTPUT",
-          "links": [107],
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-      "type": "ModelSamplingSD3",
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-          "pos": [10, 36],
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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
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-      ],
-      "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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-      "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 }
-      ],
-      "outputs": [{ "name": "image", "type": "IMAGE", "links": [115, 116] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalImage" },
-      "widgets_values": [
-        "image_url",
-        "Image Url",
-        "URL of the input image.",
-        "https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
-        ""
-      ]
-    },
-    {
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-      "size": [400, 200],
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-      "flags": {},
-      "order": 3,
-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [113] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "negative_prompt",
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "Negative Prompt",
-        "The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
-      ]
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-      ],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
-      "widgets_values": ["width", 512, "Width", "The width of the video. "]
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-      "pos": [-665.8831787109375, 1461.255126953125],
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-      "type": "ComfyUIDeployExternalNumberInt",
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-      "order": 5,
-      "inputs": [],
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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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-        { "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"]
-    },
-    {
-      "id": 38,
-      "pos": [-3.7316977977752686, 230.76495361328125],
-      "mode": 0,
-      "size": [390, 98],
-      "type": "CLIPLoader",
-      "flags": {},
-      "order": 7,
-      "inputs": [],
-      "outputs": [
-        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
-      ],
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-      "widgets_values": [
-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
-        "wan",
-        "default"
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-          "type": "CLIP_VISION",
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-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPVisionLoader" },
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-      "type": "CLIPTextEncode",
-      "color": "#322",
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-      "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 @@
-{
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-    [2, 2, 0, 1, 1, "VAE"],
-    [3, 1, 0, 3, 0, "IMAGE"],
-    [4, 1, 0, 4, 0, "IMAGE"],
-    [5, 9, 0, 5, 0, "CONDITIONING"],
-    [6, 18, 0, 5, 1, "CONDITIONING"],
-    [7, 2, 0, 5, 2, "VAE"],
-    [8, 7, 0, 5, 3, "CLIP_VISION_OUTPUT"],
-    [9, 11, 0, 5, 4, "IMAGE"],
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-    [14, 5, 1, 6, 2, "CONDITIONING"],
-    [15, 5, 2, 6, 3, "LATENT"],
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-    [20, 10, 0, 9, 1, "STRING"],
-    [21, 16, 0, 18, 0, "CLIP"],
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-        { "link": 14, "name": "negative", "type": "CONDITIONING" },
-        { "link": 15, "name": "latent_image", "type": "LATENT" }
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-      "outputs": [
-        { "name": "LATENT", "type": "LATENT", "links": [1], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "KSampler" },
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-        { "link": 16, "name": "clip_vision", "type": "CLIP_VISION" },
-        { "link": 17, "name": "image", "type": "IMAGE" }
-      ],
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-        {
-          "name": "CLIP_VISION_OUTPUT",
-          "type": "CLIP_VISION_OUTPUT",
-          "links": [8],
-          "slot_index": 0
-        }
-      ],
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-      "widgets_values": ["none"]
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-      ],
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-      "color": "#232",
-      "flags": {},
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-      "title": "CLIP Text Encode (Positive Prompt)",
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-        { "link": 19, "name": "clip", "type": "CLIP" },
-        {
-          "pos": [10, 36],
-          "link": 20,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
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-      ],
-      "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"
-      ]
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-    {
-      "id": 11,
-      "pos": [-50.3940315246582, 918.1358032226562],
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-      "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",
-        ""
-      ]
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-      "type": "ComfyUIDeployExternalText",
-      "flags": {},
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-      "inputs": [],
-      "outputs": [{ "name": "text", "type": "STRING", "links": [22] }],
-      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
-      "widgets_values": [
-        "negative_prompt",
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
-        "Negative Prompt",
-        "The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
-      ]
-    },
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-      "widgets_values": ["height", 512, "Height", "The Height of the video."]
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-      "mode": 0,
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-      "type": "CLIPLoader",
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-      "inputs": [],
-      "outputs": [
-        { "name": "CLIP", "type": "CLIP", "links": [19, 21], "slot_index": 0 }
-      ],
-      "properties": { "Node name for S&R": "CLIPLoader" },
-      "widgets_values": [
-        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
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-        "default"
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-      "inputs": [],
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-          "type": "CLIP_VISION",
-          "links": [16],
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-      "inputs": [
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-        {
-          "pos": [10, 36],
-          "link": 22,
-          "name": "text",
-          "type": "STRING",
-          "widget": { "name": "text" }
-        }
-      ],
-      "bgcolor": "#533",
-      "outputs": [
-        {
-          "name": "CONDITIONING",
-          "type": "CONDITIONING",
-          "links": [6],
-          "slot_index": 0
-        }
-      ],
-      "properties": { "Node name for S&R": "CLIPTextEncode" },
-      "widgets_values": [
-        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
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-      ],
-      "properties": { "Node name for S&R": "UNETLoader" },
-      "widgets_values": ["wan2.1_i2v_720p_14B_bf16.safetensors", "default"]
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-      "flags": {},
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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": [
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-      "font_size": 24
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-}

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

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

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 name = "comfyui-deploy"
 description = "Open source comfyui deployment platform, a vercel for generative workflow infra."
-version = "2.1.0"
+version = "1.1.0"
-license = { file = "LICENSE" }
+license = "LICENSE"
-dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg", "tabulate", "brotli"]
+dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg"]
 
 [project.urls]
 Repository = "https://github.com/BennyKok/comfyui-deploy"

requirements.txt

@@ -3,5 +3,4 @@ pydantic
 opencv-python
 imageio-ffmpeg
 brotli
-tabulate
 # logfire

web-plugin/api.js

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

web-plugin/app.js

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

web-plugin/widgets.js

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