version bump

Added a link to the latest local demo and a call for team members.

.github/workflows/publish.yml

@@ -7,15 +7,19 @@ 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@main
+        uses: Comfy-Org/publish-node-action@v1
         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

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

README.md

@@ -2,6 +2,11 @@
 
 Open source comfyui deployment platform, a `vercel` for generative workflow infra. (serverless hosted gpu with vertical intergation with comfyui)
 
+Check out our latest lcoal demo -> https://github.com/comfy-deploy/comfyui-api-comfydeploy
+
+> [!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
@@ -93,10 +98,6 @@ 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

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

comfy-nodes/external_audio.py

@@ -0,0 +1,82 @@
+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

@@ -23,8 +23,9 @@ 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

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

comfy-nodes/external_enum.py

@@ -0,0 +1,46 @@
+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

@@ -0,0 +1,110 @@
+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

@@ -0,0 +1,106 @@
+from PIL import Image, ImageOps
+import numpy as np
+import torch
+import folder_paths
+
+
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+WILDCARD = AnyType("*")
+
+
+class ComfyUIDeployExternalFaceModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_id": (
+                    "STRING",
+                    {"multiline": False, "default": "input_reactor_face_model"},
+                ),
+            },
+            "optional": {
+                "default_face_model_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "face_model_save_name": (  # if `default_face_model_name` is a link to download a file, we will attempt to save it with this name
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "display_name": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+                "face_model_url": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
+            },
+        }
+
+    RETURN_TYPES = (WILDCARD,)
+    RETURN_NAMES = ("path",)
+    FUNCTION = "run"
+    CATEGORY = "🔗ComfyDeploy"
+
+    def run(
+        self,
+        input_id,
+        default_face_model_name=None,
+        face_model_save_name=None,
+        display_name=None,
+        description=None,
+        face_model_url=None,
+    ):
+        import requests
+        import os
+        import uuid
+
+        if face_model_url and face_model_url.startswith("http"):
+            if face_model_save_name:
+                existing_face_models = folder_paths.get_filename_list("reactor/faces")
+                # Check if face_model_save_name exists in the list
+                if face_model_save_name in existing_face_models:
+                    print(f"using face model: {face_model_save_name}")
+                    return (face_model_save_name,)
+            else:
+                face_model_save_name = str(uuid.uuid4()) + ".safetensors"
+            print(face_model_save_name)
+            print(folder_paths.folder_names_and_paths["reactor/faces"][0][0])
+            destination_path = os.path.join(
+                folder_paths.folder_names_and_paths["reactor/faces"][0][0],
+                face_model_save_name,
+            )
+
+            print(destination_path)
+            print(
+                "Downloading external face model - "
+                + face_model_url
+                + " to "
+                + destination_path
+            )
+            response = requests.get(
+                face_model_url,
+                headers={"User-Agent": "Mozilla/5.0"},
+                allow_redirects=True,
+            )
+            with open(destination_path, "wb") as out_file:
+                out_file.write(response.content)
+            return (face_model_save_name,)
+        else:
+            print(f"using face model: {default_face_model_name}")
+            return (default_face_model_name,)
+
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalFaceModel": ComfyUIDeployExternalFaceModel}
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ComfyUIDeployExternalFaceModel": "External Face Model (ComfyUI Deploy)"
+}

comfy-nodes/external_image.py

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

comfy-nodes/external_image_alpha.py

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

comfy-nodes/external_image_batch.py

@@ -34,10 +34,8 @@ class ComfyUIDeployExternalImageBatch:
 
     RETURN_TYPES = ("IMAGE",)
     RETURN_NAMES = ("image",)
-
     FUNCTION = "run"
-
-    CATEGORY = "image"
+    CATEGORY = "🔗ComfyDeploy"
     
     def process_image(self, image):
         image = ImageOps.exif_transpose(image)
@@ -56,12 +54,7 @@ class ComfyUIDeployExternalImageBatch:
             images_list = json.loads(images)  # Assuming images is a JSON array string
             print(images_list)
             for img_input in images_list:
-                if img_input.startswith('http'):
-                    from io import BytesIO
-                    print("Fetching image from url: ", img_input)
-                    response = requests.get(img_input)
-                    image = Image.open(BytesIO(response.content))
-                elif img_input.startswith('http') and img_input.endswith('.zip'):
+                if img_input.startswith('http') and img_input.endswith('.zip'):
                     print("Fetching zip file from url: ", img_input)
                     response = requests.get(img_input)
                     zip_file = zipfile.ZipFile(io.BytesIO(response.content))
@@ -71,6 +64,11 @@ class ComfyUIDeployExternalImageBatch:
                                 image = Image.open(file)
                                 image = self.process_image(image)
                                 processed_images.append(image)
+                elif  img_input.startswith('http'):
+                    from io import BytesIO
+                    print("Fetching image from url: ", img_input)
+                    response = requests.get(img_input)
+                    image = Image.open(BytesIO(response.content))
                 elif img_input.startswith('data:image/png;base64,') or img_input.startswith('data:image/jpeg;base64,') or img_input.startswith('data:image/jpg;base64,'):
                     import base64
                     from io import BytesIO

comfy-nodes/external_lora.py

@@ -1,8 +1,4 @@
 import folder_paths
-from PIL import Image, ImageOps
-import numpy as np
-import torch
-import folder_paths
 
 
 class AnyType(str):
@@ -41,15 +37,17 @@ class ComfyUIDeployExternalLora:
                     "STRING",
                     {"multiline": False, "default": ""},
                 ),
+                "bearer_token": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
+                ),
             },
         }
 
     RETURN_TYPES = (WILDCARD,)
     RETURN_NAMES = ("path",)
-
     FUNCTION = "run"
-
-    CATEGORY = "deploy"
+    CATEGORY = "🔗ComfyDeploy"
 
     def run(
         self,
@@ -59,37 +57,52 @@ class ComfyUIDeployExternalLora:
         display_name=None,
         description=None,
         lora_url=None,
+        bearer_token=None,
     ):
         import requests
         import os
         import uuid
 
-        if lora_url and lora_url.startswith("http"):
-            if lora_save_name:
-                existing_loras = folder_paths.get_filename_list("loras")
-                # Check if lora_save_name exists in the list
-                if lora_save_name in existing_loras:
-                    print(f"using lora: {lora_save_name}")
-                    return (lora_save_name,)
+        if lora_url:
+            if lora_url.startswith("http"):
+                if lora_save_name:
+                    existing_loras = folder_paths.get_filename_list("loras")
+                    # Check if lora_save_name exists in the list
+                    if lora_save_name in existing_loras:
+                        print(f"using lora: {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
+                )
+                headers = {"User-Agent": "Mozilla/5.0"}
+                if bearer_token:
+                    headers["Authorization"] = f"Bearer {bearer_token}"
+                    print("using bearer token")
+                response = requests.get(
+                    lora_url,
+                    headers=headers,
+                    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:
-                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)
-            return (lora_save_name,)
+                print(f"Ext Lora loading: {lora_url}")
+                return (lora_url,)
         else:
-            print(f"using lora: {default_lora_name}")
+            print(f"Ext Lora loading: {default_lora_name}")
             return (default_lora_name,)
 
 

comfy-nodes/external_number.py

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

comfy-nodes/external_number_int.py

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

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

comfy-nodes/external_number_slider_int.py

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

comfy-nodes/external_seed.py

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

comfy-nodes/external_string_combine.py

@@ -0,0 +1,53 @@
+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 = "text"
+    CATEGORY = "🔗ComfyDeploy"
 
     def run(self, input_id, default_value=None, display_name=None, description=None):
         return [default_value]

comfy-nodes/external_text_any.py

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

comfy-nodes/external_text_list.py

@@ -1,52 +0,0 @@
-import folder_paths
-from PIL import Image, ImageOps
-import numpy as np
-import torch
-import json
-
-class ComfyUIDeployExternalTextList:
-    @classmethod
-    def INPUT_TYPES(s):
-        return {
-            "required": {
-                "input_id": (
-                    "STRING",
-                    {"multiline": False, "default": 'input_text_list'},
-                ),
-                 "text": (
-                    "STRING",
-                    {"multiline": True, "default": "[]"},
-                ),
-            },
-            "optional": {
-                "display_name": (
-                    "STRING",
-                    {"multiline": False, "default": ""},
-                ),
-                "description": (
-                    "STRING",
-                    {"multiline": True, "default": ""},
-                ),
-            }
-        }
-
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("text",)
-
-    OUTPUT_IS_LIST = (True,)
-
-    FUNCTION = "run"
-
-    CATEGORY = "text"
-
-    def run(self, input_id, text=None, display_name=None, description=None):
-        text_list = []
-        try:
-            text_list = json.loads(text)  # Assuming text is a JSON array string
-        except Exception as e:
-            print(f"Error processing images: {e}")
-            pass
-        return ([text_list],)
-
-NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalTextList": ComfyUIDeployExternalTextList}
-NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalTextList": "External Text List (ComfyUI Deploy)"}

comfy-nodes/external_vid.py

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

comfy-nodes/external_video.py

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

comfy-nodes/input_websocket_image.py

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

comfy-nodes/output_exr.py

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

comfy-nodes/output_image.py

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

comfy-nodes/output_text.py

@@ -0,0 +1,99 @@
+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

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

example_workflows/lora-model.json

@@ -0,0 +1,152 @@
+{
+  "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

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

examples/flux-dev.json

@@ -0,0 +1,359 @@
+{
+  "extra": {
+    "ds": {
+      "scale": 0.6010518407212623,
+      "offset": [815.5938895649746, 84.94304700477853]
+    },
+    "node_versions": {
+      "comfy-core": "0.3.19",
+      "comfyui-deploy": "b3df94d1affcf7ce05ee7eeda99989194bcd9159"
+    }
+  },
+  "links": [
+    [9, 8, 0, 9, 0, "IMAGE"],
+    [45, 30, 1, 6, 0, "CLIP"],
+    [46, 30, 2, 8, 1, "VAE"],
+    [47, 30, 0, 31, 0, "MODEL"],
+    [51, 27, 0, 31, 3, "LATENT"],
+    [52, 31, 0, 8, 0, "LATENT"],
+    [54, 30, 1, 33, 0, "CLIP"],
+    [55, 33, 0, 31, 2, "CONDITIONING"],
+    [56, 6, 0, 35, 0, "CONDITIONING"],
+    [57, 35, 0, 31, 1, "CONDITIONING"],
+    [58, 38, 0, 6, 1, "STRING"],
+    [59, 40, 0, 27, 0, "INT"],
+    [60, 39, 0, 27, 1, "INT"]
+  ],
+  "nodes": [
+    {
+      "id": 6,
+      "pos": [384, 192],
+      "mode": 0,
+      "size": [422.8500061035156, 164.30999755859375],
+      "type": "CLIPTextEncode",
+      "color": "#232",
+      "flags": {},
+      "order": 7,
+      "title": "CLIP Text Encode (Positive Prompt)",
+      "inputs": [
+        { "link": 45, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 58,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#353",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [56],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls"
+      ]
+    },
+    {
+      "id": 8,
+      "pos": [1151, 195],
+      "mode": 0,
+      "size": [210, 46],
+      "type": "VAEDecode",
+      "flags": {},
+      "order": 11,
+      "inputs": [
+        { "link": 52, "name": "samples", "type": "LATENT" },
+        { "link": 46, "name": "vae", "type": "VAE" }
+      ],
+      "outputs": [
+        { "name": "IMAGE", "type": "IMAGE", "links": [9], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "VAEDecode" },
+      "widgets_values": []
+    },
+    {
+      "id": 9,
+      "pos": [1375, 194],
+      "mode": 0,
+      "size": [985.2999877929688, 1060.3800048828125],
+      "type": "SaveImage",
+      "flags": {},
+      "order": 12,
+      "inputs": [{ "link": 9, "name": "images", "type": "IMAGE" }],
+      "outputs": [],
+      "properties": {},
+      "widgets_values": ["ComfyUI"]
+    },
+    {
+      "id": 31,
+      "pos": [816, 192],
+      "mode": 0,
+      "size": [315, 262],
+      "type": "KSampler",
+      "flags": {},
+      "order": 10,
+      "inputs": [
+        { "link": 47, "name": "model", "type": "MODEL" },
+        { "link": 57, "name": "positive", "type": "CONDITIONING" },
+        { "link": 55, "name": "negative", "type": "CONDITIONING" },
+        { "link": 51, "name": "latent_image", "type": "LATENT" }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [52],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "KSampler" },
+      "widgets_values": [
+        1024035737089801,
+        "randomize",
+        20,
+        1,
+        "euler",
+        "simple",
+        1
+      ]
+    },
+    {
+      "id": 35,
+      "pos": [576, 96],
+      "mode": 0,
+      "size": [211.60000610351562, 58],
+      "type": "FluxGuidance",
+      "flags": {},
+      "order": 9,
+      "inputs": [
+        { "link": 56, "name": "conditioning", "type": "CONDITIONING" }
+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [57],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "FluxGuidance" },
+      "widgets_values": [3.5]
+    },
+    {
+      "id": 37,
+      "pos": [60, 345],
+      "mode": 0,
+      "size": [225, 88],
+      "type": "MarkdownNote",
+      "color": "#432",
+      "flags": {},
+      "order": 0,
+      "inputs": [],
+      "bgcolor": "#653",
+      "outputs": [],
+      "properties": {},
+      "widgets_values": [
+        "🛈 [Learn more about this workflow](https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-dev-1)"
+      ]
+    },
+    {
+      "id": 34,
+      "pos": [825, 510],
+      "mode": 0,
+      "size": [282.8599853515625, 164.0800018310547],
+      "type": "Note",
+      "color": "#432",
+      "flags": {},
+      "order": 1,
+      "inputs": [],
+      "bgcolor": "#653",
+      "outputs": [],
+      "properties": { "text": "" },
+      "widgets_values": [
+        "Note that Flux dev and schnell do not have any negative prompt so CFG should be set to 1.0. Setting CFG to 1.0 means the negative prompt is ignored."
+      ]
+    },
+    {
+      "id": 30,
+      "pos": [48, 192],
+      "mode": 0,
+      "size": [315, 98],
+      "type": "CheckpointLoaderSimple",
+      "flags": {},
+      "order": 2,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
+          "links": [47],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
+          "links": [45, 54],
+          "shape": 3,
+          "slot_index": 1
+        },
+        {
+          "name": "VAE",
+          "type": "VAE",
+          "links": [46],
+          "shape": 3,
+          "slot_index": 2
+        }
+      ],
+      "properties": { "Node name for S&R": "CheckpointLoaderSimple" },
+      "widgets_values": ["FLUX1/flux1-dev-fp8.safetensors"]
+    },
+    {
+      "id": 33,
+      "pos": [390, 400],
+      "mode": 0,
+      "size": [422.8500061035156, 164.30999755859375],
+      "type": "CLIPTextEncode",
+      "color": "#322",
+      "flags": { "collapsed": true },
+      "order": 6,
+      "title": "CLIP Text Encode (Negative Prompt)",
+      "inputs": [
+        { "link": 54, "name": "clip", "type": "CLIP", "slot_index": 0 }
+      ],
+      "bgcolor": "#533",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [55],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [""]
+    },
+    {
+      "id": 27,
+      "pos": [461.8629455566406, 460.2491149902344],
+      "mode": 0,
+      "size": [315, 126],
+      "type": "EmptySD3LatentImage",
+      "color": "#323",
+      "flags": {},
+      "order": 8,
+      "inputs": [
+        {
+          "pos": [10, 60],
+          "link": 59,
+          "name": "height",
+          "type": "INT",
+          "widget": { "name": "height" }
+        },
+        {
+          "pos": [10, 36],
+          "link": 60,
+          "name": "width",
+          "type": "INT",
+          "widget": { "name": "width" }
+        }
+      ],
+      "bgcolor": "#535",
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [51],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "EmptySD3LatentImage" },
+      "widgets_values": [1024, 1024, 1]
+    },
+    {
+      "id": 38,
+      "pos": [-497.3238525390625, 306.5517578125],
+      "mode": 0,
+      "size": [400, 200],
+      "type": "ComfyUIDeployExternalText",
+      "flags": {},
+      "order": 3,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [58] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "prompt",
+        "cute anime girl with massive fluffy fennec ears and a big fluffy tail blonde messy long hair blue eyes wearing a maid outfit with a long black gold leaf pattern dress and a white apron mouth open placing a fancy black forest cake with candles on top of a dinner table of an old dark Victorian mansion lit by candlelight with a bright window to the foggy forest and very expensive stuff everywhere there are paintings on the walls",
+        "Prompt",
+        "The prompt to generate an image from."
+      ]
+    },
+    {
+      "id": 39,
+      "pos": [-507.4543762207031, 612.9552001953125],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 4,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [60], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["width", 1024, "Width", "The width of the image."]
+    },
+    {
+      "id": 40,
+      "pos": [-497.8695068359375, 864.68994140625],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 5,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [59], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["height", 1024, "Height", "The height of the image."]
+    }
+  ],
+  "config": {},
+  "groups": [
+    {
+      "id": 1,
+      "color": "#3f789e",
+      "flags": {},
+      "title": "Input",
+      "bounding": [
+        -508.010986328125, 186.76593017578125, 453.23040771484375,
+        334.3218994140625
+      ],
+      "font_size": 24
+    },
+    {
+      "id": 2,
+      "color": "#A88",
+      "flags": {},
+      "title": "Additional",
+      "bounding": [
+        -517.1227416992188, 537.53759765625, 644.4954223632812,
+        599.2609252929688
+      ],
+      "font_size": 24
+    }
+  ],
+  "version": 0.4,
+  "last_link_id": 60,
+  "last_node_id": 40
+}

examples/flux-schnell.json

@@ -0,0 +1,423 @@
+{
+  "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
+        }
+      ],
+      "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": []
+    },
+    {
+      "id": 22,
+      "pos": [559, 125],
+      "mode": 0,
+      "size": [241.79998779296875, 46],
+      "type": "BasicGuider",
+      "flags": {},
+      "order": 13,
+      "inputs": [
+        { "link": 39, "name": "model", "type": "MODEL", "slot_index": 0 },
+        {
+          "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": []
+    },
+    {
+      "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": {},
+      "order": 8,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [44], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["width", 1024, "Width", "The width of the image."]
+    },
+    {
+      "id": 30,
+      "pos": [-670.0703735351562, 848.3707885742188],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 9,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [45], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["height", 1024, "Height", "The height of the image."]
+    }
+  ],
+  "config": {},
+  "groups": [
+    {
+      "id": 1,
+      "color": "#3f789e",
+      "flags": {},
+      "title": "Input",
+      "bounding": [
+        -652.184326171875, 99.11231994628906, 565.7923583984375,
+        362.8800354003906
+      ],
+      "font_size": 24
+    },
+    {
+      "id": 2,
+      "color": "#A88",
+      "flags": {},
+      "title": "Additional",
+      "bounding": [
+        -720.3274536132812, 508.1206970214844, 703.0422973632812,
+        576.5584716796875
+      ],
+      "font_size": 24
+    }
+  ],
+  "version": 0.4,
+  "last_link_id": 45,
+  "last_node_id": 30
+}

examples/hunyuan-video.json

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

examples/stable-diffusion-v15.json

@@ -0,0 +1,240 @@
+{
+  "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

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

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

@@ -0,0 +1,452 @@
+{
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+      ],
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+          "name": "height",
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+          "widget": { "name": "height" }
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+          "links": [101],
+          "slot_index": 0
+        },
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+          "links": [102],
+          "slot_index": 1
+        },
+        { "name": "latent", "type": "LATENT", "links": [103], "slot_index": 2 }
+      ],
+      "properties": { "Node name for S&R": "WanImageToVideo" },
+      "widgets_values": [512, 512, 33, 1]
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+        { "link": 102, "name": "negative", "type": "CONDITIONING" },
+        { "link": 103, "name": "latent_image", "type": "LATENT" }
+      ],
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+        { "link": 116, "name": "image", "type": "IMAGE" }
+      ],
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+        {
+          "name": "CLIP_VISION_OUTPUT",
+          "type": "CLIP_VISION_OUTPUT",
+          "links": [107],
+          "slot_index": 0
+        }
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+      ],
+      "properties": { "Node name for S&R": "ModelSamplingSD3" },
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+      "color": "#232",
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+      "title": "CLIP Text Encode (Positive Prompt)",
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+        { "link": 74, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 112,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#353",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [97],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around"
+      ]
+    },
+    {
+      "id": 55,
+      "pos": [-672.6411743164062, 140.167724609375],
+      "mode": 0,
+      "size": [400, 200],
+      "type": "ComfyUIDeployExternalText",
+      "flags": {},
+      "order": 1,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [112] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "positive_prompt",
+        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around",
+        "Prompt",
+        "The text prompt to guide video generation."
+      ]
+    },
+    {
+      "id": 57,
+      "pos": [-664.3828125, 405.5113525390625],
+      "mode": 0,
+      "size": [390.5999755859375, 366],
+      "type": "ComfyUIDeployExternalImage",
+      "flags": {},
+      "order": 2,
+      "inputs": [
+        { "link": null, "name": "default_value", "type": "IMAGE", "shape": 7 }
+      ],
+      "outputs": [{ "name": "image", "type": "IMAGE", "links": [115, 116] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalImage" },
+      "widgets_values": [
+        "image_url",
+        "Image Url",
+        "URL of the input image.",
+        "https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
+        ""
+      ]
+    },
+    {
+      "id": 56,
+      "pos": [-674.42333984375, 953.0498046875],
+      "mode": 0,
+      "size": [400, 200],
+      "type": "ComfyUIDeployExternalText",
+      "flags": {},
+      "order": 3,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [113] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "negative_prompt",
+        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
+        "Negative Prompt",
+        "The negative prompt to use. Use it to address details that you don't want in the video. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). "
+      ]
+    },
+    {
+      "id": 58,
+      "pos": [-668.314453125, 1208.204833984375],
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+      "order": 4,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [117], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["width", 512, "Width", "The width of the video. "]
+    },
+    {
+      "id": 59,
+      "pos": [-665.8831787109375, 1461.255126953125],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 5,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [118], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["height", 512, "Height", "The Height of the video."]
+    },
+    {
+      "id": 37,
+      "pos": [-3.3700287342071533, 81.69654846191406],
+      "mode": 0,
+      "size": [346.7470703125, 82],
+      "type": "UNETLoader",
+      "flags": {},
+      "order": 6,
+      "inputs": [],
+      "outputs": [
+        { "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,
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+      "type": "CLIPLoader",
+      "flags": {},
+      "order": 7,
+      "inputs": [],
+      "outputs": [
+        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "CLIPLoader" },
+      "widgets_values": [
+        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
+        "wan",
+        "default"
+      ]
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+    {
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+      "mode": 0,
+      "size": [315, 58],
+      "type": "CLIPVisionLoader",
+      "flags": {},
+      "order": 8,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CLIP_VISION",
+          "type": "CLIP_VISION",
+          "links": [94],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPVisionLoader" },
+      "widgets_values": ["clip_vision_h.safetensors"]
+    },
+    {
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+      "pos": [414.1811828613281, 393.8824768066406],
+      "mode": 0,
+      "size": [425.27801513671875, 180.6060791015625],
+      "type": "CLIPTextEncode",
+      "color": "#322",
+      "flags": {},
+      "order": 11,
+      "title": "CLIP Text Encode (Negative Prompt)",
+      "inputs": [
+        { "link": 75, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 113,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#533",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [98],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
+      ]
+    }
+  ],
+  "config": {},
+  "groups": [
+    {
+      "id": 1,
+      "color": "#3f789e",
+      "flags": {},
+      "title": "Input",
+      "bounding": [
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+      "font_size": 24
+    },
+    {
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+      "color": "#b06634",
+      "flags": {},
+      "title": "Additional",
+      "bounding": [
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+  "version": 0.4,
+  "last_link_id": 118,
+  "last_node_id": 59
+}

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

@@ -0,0 +1,452 @@
+{
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+    "ds": {
+      "scale": 0.6303940863128795,
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+    [19, 16, 0, 9, 0, "CLIP"],
+    [20, 10, 0, 9, 1, "STRING"],
+    [21, 16, 0, 18, 0, "CLIP"],
+    [22, 12, 0, 18, 1, "STRING"]
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+      "inputs": [
+        { "link": 1, "name": "samples", "type": "LATENT" },
+        { "link": 2, "name": "vae", "type": "VAE" }
+      ],
+      "outputs": [
+        { "name": "IMAGE", "type": "IMAGE", "links": [3, 4], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "VAEDecode" },
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+      ],
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+        { "link": 5, "name": "positive", "type": "CONDITIONING" },
+        { "link": 6, "name": "negative", "type": "CONDITIONING" },
+        { "link": 7, "name": "vae", "type": "VAE" },
+        {
+          "link": 8,
+          "name": "clip_vision_output",
+          "type": "CLIP_VISION_OUTPUT",
+          "shape": 7
+        },
+        { "link": 9, "name": "start_image", "type": "IMAGE", "shape": 7 },
+        {
+          "pos": [10, 116],
+          "link": 10,
+          "name": "width",
+          "type": "INT",
+          "widget": { "name": "width" }
+        },
+        {
+          "pos": [10, 140],
+          "link": 11,
+          "name": "height",
+          "type": "INT",
+          "widget": { "name": "height" }
+        }
+      ],
+      "outputs": [
+        {
+          "name": "positive",
+          "type": "CONDITIONING",
+          "links": [13],
+          "slot_index": 0
+        },
+        {
+          "name": "negative",
+          "type": "CONDITIONING",
+          "links": [14],
+          "slot_index": 1
+        },
+        { "name": "latent", "type": "LATENT", "links": [15], "slot_index": 2 }
+      ],
+      "properties": { "Node name for S&R": "WanImageToVideo" },
+      "widgets_values": [512, 512, 33, 1]
+    },
+    {
+      "id": 6,
+      "pos": [1476.98876953125, 699.6244506835938],
+      "mode": 0,
+      "size": [315, 262],
+      "type": "KSampler",
+      "flags": {},
+      "order": 14,
+      "inputs": [
+        { "link": 12, "name": "model", "type": "MODEL" },
+        { "link": 13, "name": "positive", "type": "CONDITIONING" },
+        { "link": 14, "name": "negative", "type": "CONDITIONING" },
+        { "link": 15, "name": "latent_image", "type": "LATENT" }
+      ],
+      "outputs": [
+        { "name": "LATENT", "type": "LATENT", "links": [1], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "KSampler" },
+      "widgets_values": [
+        625624384968868,
+        "randomize",
+        20,
+        6,
+        "uni_pc",
+        "simple",
+        1
+      ]
+    },
+    {
+      "id": 7,
+      "pos": [973.98876953125, 1152.6243896484375],
+      "mode": 0,
+      "size": [253.60000610351562, 78],
+      "type": "CLIPVisionEncode",
+      "flags": {},
+      "order": 10,
+      "inputs": [
+        { "link": 16, "name": "clip_vision", "type": "CLIP_VISION" },
+        { "link": 17, "name": "image", "type": "IMAGE" }
+      ],
+      "outputs": [
+        {
+          "name": "CLIP_VISION_OUTPUT",
+          "type": "CLIP_VISION_OUTPUT",
+          "links": [8],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPVisionEncode" },
+      "widgets_values": ["none"]
+    },
+    {
+      "id": 8,
+      "pos": [1123.98876953125, 582.6244506835938],
+      "mode": 0,
+      "size": [315, 58],
+      "type": "ModelSamplingSD3",
+      "flags": {},
+      "order": 11,
+      "inputs": [{ "link": 18, "name": "model", "type": "MODEL" }],
+      "outputs": [
+        { "name": "MODEL", "type": "MODEL", "links": [12], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ModelSamplingSD3" },
+      "widgets_values": [8]
+    },
+    {
+      "id": 9,
+      "pos": [1028.98876953125, 698.6244506835938],
+      "mode": 0,
+      "size": [422.84503173828125, 164.31304931640625],
+      "type": "CLIPTextEncode",
+      "color": "#232",
+      "flags": {},
+      "order": 12,
+      "title": "CLIP Text Encode (Positive Prompt)",
+      "inputs": [
+        { "link": 19, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 20,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#353",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [5],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit turning around"
+      ]
+    },
+    {
+      "id": 11,
+      "pos": [-50.3940315246582, 918.1358032226562],
+      "mode": 0,
+      "size": [390.5999755859375, 366],
+      "type": "ComfyUIDeployExternalImage",
+      "flags": {},
+      "order": 1,
+      "inputs": [
+        { "link": null, "name": "default_value", "type": "IMAGE", "shape": 7 }
+      ],
+      "outputs": [{ "name": "image", "type": "IMAGE", "links": [9, 17] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalImage" },
+      "widgets_values": [
+        "image_url",
+        "Image Url",
+        "URL of the input image.",
+        "https://comfy-deploy-output.s3.us-east-2.amazonaws.com/assets/img_GZMJYXDnLbYjWybu.png",
+        ""
+      ]
+    },
+    {
+      "id": 12,
+      "pos": [-60.4345588684082, 1465.6741943359375],
+      "mode": 0,
+      "size": [400, 200],
+      "type": "ComfyUIDeployExternalText",
+      "flags": {},
+      "order": 2,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [22] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "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). "
+      ]
+    },
+    {
+      "id": 13,
+      "pos": [-54.3256721496582, 1720.8292236328125],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 3,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [10], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["width", 512, "Width", "The width of the video. "]
+    },
+    {
+      "id": 14,
+      "pos": [-51.8943977355957, 1973.8795166015625],
+      "mode": 0,
+      "size": [453.5999755859375, 200],
+      "type": "ComfyUIDeployExternalNumberInt",
+      "flags": {},
+      "order": 4,
+      "inputs": [],
+      "outputs": [
+        { "name": "value", "type": "INT", "links": [11], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalNumberInt" },
+      "widgets_values": ["height", 512, "Height", "The Height of the video."]
+    },
+    {
+      "id": 16,
+      "pos": [610.257080078125, 743.389404296875],
+      "mode": 0,
+      "size": [390, 98],
+      "type": "CLIPLoader",
+      "flags": {},
+      "order": 5,
+      "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",
+        "wan",
+        "default"
+      ]
+    },
+    {
+      "id": 17,
+      "pos": [630.5606079101562, 1152.8475341796875],
+      "mode": 0,
+      "size": [315, 58],
+      "type": "CLIPVisionLoader",
+      "flags": {},
+      "order": 6,
+      "inputs": [],
+      "outputs": [
+        {
+          "name": "CLIP_VISION",
+          "type": "CLIP_VISION",
+          "links": [16],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPVisionLoader" },
+      "widgets_values": ["clip_vision_h.safetensors"]
+    },
+    {
+      "id": 18,
+      "pos": [1028.169921875, 906.5068969726562],
+      "mode": 0,
+      "size": [425.27801513671875, 180.6060791015625],
+      "type": "CLIPTextEncode",
+      "color": "#322",
+      "flags": {},
+      "order": 9,
+      "title": "CLIP Text Encode (Negative Prompt)",
+      "inputs": [
+        { "link": 21, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 22,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#533",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [6],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
+      ]
+    },
+    {
+      "id": 15,
+      "pos": [610.6187744140625, 594.3209838867188],
+      "mode": 0,
+      "size": [346.7470703125, 82],
+      "type": "UNETLoader",
+      "flags": {},
+      "order": 7,
+      "inputs": [],
+      "outputs": [
+        { "name": "MODEL", "type": "MODEL", "links": [18], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "UNETLoader" },
+      "widgets_values": ["wan2.1_i2v_720p_14B_bf16.safetensors", "default"]
+    },
+    {
+      "id": 10,
+      "pos": [-60.696964263916016, 649.5515747070312],
+      "mode": 0,
+      "size": [400, 200],
+      "type": "ComfyUIDeployExternalText",
+      "flags": {},
+      "order": 8,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [20] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "positive_prompt",
+        "a cute anime girl with massive fennec ears and a big fluffy tail wearing a maid outfit running towards front happily",
+        "Prompt",
+        "The text prompt to guide video generation."
+      ]
+    }
+  ],
+  "config": {},
+  "groups": [
+    {
+      "id": 1,
+      "color": "#3f789e",
+      "flags": {},
+      "title": "Input",
+      "bounding": [
+        -94.30522155761719, 560.1735229492188, 617.7969360351562,
+        761.303955078125
+      ],
+      "font_size": 24
+    },
+    {
+      "id": 2,
+      "color": "#b06634",
+      "flags": {},
+      "title": "Additional",
+      "bounding": [
+        -89.63090515136719, 1373.9351806640625, 625.998779296875,
+        845.0675048828125
+      ],
+      "font_size": 24
+    }
+  ],
+  "version": 0.4,
+  "last_link_id": 22,
+  "last_node_id": 18
+}

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

@@ -0,0 +1,359 @@
+{
+  "extra": {
+    "ds": {
+      "scale": 0.8390545288824369,
+      "offset": [814.3725295729478, -347.90757575249455]
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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"],
+    [93, 8, 0, 47, 0, "IMAGE"],
+    [94, 37, 0, 48, 0, "MODEL"],
+    [95, 48, 0, 3, 0, "MODEL"],
+    [96, 49, 0, 6, 1, "STRING"],
+    [97, 50, 0, 7, 1, "STRING"],
+    [99, 52, 0, 40, 1, "INT"],
+    [100, 51, 0, 40, 0, "INT"]
+  ],
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+      "size": [210, 46],
+      "type": "VAEDecode",
+      "flags": {},
+      "order": 12,
+      "inputs": [
+        { "link": 35, "name": "samples", "type": "LATENT" },
+        { "link": 76, "name": "vae", "type": "VAE" }
+      ],
+      "outputs": [
+        { "name": "IMAGE", "type": "IMAGE", "links": [56, 93], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "VAEDecode" },
+      "widgets_values": []
+    },
+    {
+      "id": 39,
+      "pos": [866.3932495117188, 499.18597412109375],
+      "mode": 0,
+      "size": [306.36004638671875, 58],
+      "type": "VAELoader",
+      "flags": {},
+      "order": 0,
+      "inputs": [],
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+        { "name": "VAE", "type": "VAE", "links": [76], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "VAELoader" },
+      "widgets_values": ["wan_2.1_vae.safetensors"]
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+    {
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+      "pos": [2367.213134765625, 193.6114959716797],
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+      "inputs": [{ "link": 93, "name": "images", "type": "IMAGE" }],
+      "outputs": [],
+      "properties": { "Node name for S&R": "SaveWEBM" },
+      "widgets_values": ["ComfyUI", "vp9", 24, 32]
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+      "mode": 0,
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+        { "link": 46, "name": "positive", "type": "CONDITIONING" },
+        { "link": 52, "name": "negative", "type": "CONDITIONING" },
+        { "link": 91, "name": "latent_image", "type": "LATENT" }
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+        1
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+      "type": "ModelSamplingSD3",
+      "flags": {},
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+      "inputs": [{ "link": 94, "name": "model", "type": "MODEL" }],
+      "outputs": [
+        { "name": "MODEL", "type": "MODEL", "links": [95], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "ModelSamplingSD3" },
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+      "inputs": [],
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+        { "name": "MODEL", "type": "MODEL", "links": [94], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "UNETLoader" },
+      "widgets_values": ["wan2.1_t2v_1.3B_fp16.safetensors", "default"]
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+      "id": 6,
+      "pos": [415, 186],
+      "mode": 0,
+      "size": [422.84503173828125, 164.31304931640625],
+      "type": "CLIPTextEncode",
+      "color": "#232",
+      "flags": {},
+      "order": 8,
+      "title": "CLIP Text Encode (Positive Prompt)",
+      "inputs": [
+        { "link": 74, "name": "clip", "type": "CLIP" },
+        {
+          "pos": [10, 36],
+          "link": 96,
+          "name": "text",
+          "type": "STRING",
+          "widget": { "name": "text" }
+        }
+      ],
+      "bgcolor": "#353",
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [46],
+          "slot_index": 0
+        }
+      ],
+      "properties": { "Node name for S&R": "CLIPTextEncode" },
+      "widgets_values": [
+        "a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera"
+      ]
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+    {
+      "id": 7,
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+      "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": [
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+      ]
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+      "inputs": [],
+      "outputs": [
+        { "name": "CLIP", "type": "CLIP", "links": [74, 75], "slot_index": 0 }
+      ],
+      "properties": { "Node name for S&R": "CLIPLoader" },
+      "widgets_values": [
+        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
+        "wan",
+        "default"
+      ]
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+      "pos": [-535.2967529296875, 342.3277587890625],
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+      "size": [400, 200],
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+      "flags": {},
+      "order": 3,
+      "inputs": [],
+      "outputs": [{ "name": "text", "type": "STRING", "links": [96] }],
+      "properties": { "Node name for S&R": "ComfyUIDeployExternalText" },
+      "widgets_values": [
+        "positive_prompt",
+        "a fox moving quickly in a beautiful winter scenery nature trees mountains daytime tracking camera",
+        "Prompt",
+        "The text prompt to guide video generation. "
+      ]
+    },
+    {
+      "id": 50,
+      "pos": [-526.2716064453125, 703.8343505859375],
+      "mode": 0,
+      "size": [400, 200],
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+      "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
+}

globals.py

@@ -6,16 +6,20 @@ from PIL import Image, ImageOps
 from io import BytesIO
 from pydantic import BaseModel as PydanticBaseModel
 
+
 class BaseModel(PydanticBaseModel):
     class Config:
         arbitrary_types_allowed = True
-        
+
+
 class Status(Enum):
     NOT_STARTED = "not-started"
     RUNNING = "running"
     SUCCESS = "success"
     FAILED = "failed"
     UPLOADING = "uploading"
+    CANCELLED = "cancelled"
+
 
 class StreamingPrompt(BaseModel):
     workflow_api: Any
@@ -24,42 +28,52 @@ class StreamingPrompt(BaseModel):
     running_prompt_ids: set[str] = set()
     status_endpoint: Optional[str]
     file_upload_endpoint: Optional[str]
-    
+    workflow: Any
+    gpu_event_id: Optional[str] = None
+
+
 class SimplePrompt(BaseModel):
     status_endpoint: Optional[str]
     file_upload_endpoint: Optional[str]
-    
+
+    token: Optional[str]
+
     workflow_api: dict
     status: Status = Status.NOT_STARTED
     progress: set = set()
-    last_updated_node: Optional[str] = None,
+    last_updated_node: Optional[str] = None
     uploading_nodes: set = set()
     done: bool = False
-    is_realtime: bool = False,
-    start_time: Optional[float] = None,
+    is_realtime: bool = False
+    start_time: Optional[float] = None
+    gpu_event_id: Optional[str] = None
+
 
 sockets = dict()
 prompt_metadata: dict[str, SimplePrompt] = {}
 streaming_prompt_metadata: dict[str, StreamingPrompt] = {}
 
+
 class BinaryEventTypes:
     PREVIEW_IMAGE = 1
     UNENCODED_PREVIEW_IMAGE = 2
-    
+
+
 max_output_id_length = 24
 
-async def send_image(image_data, sid=None, output_id:str = None):
+
+async def send_image(image_data, sid=None, output_id: str = None):
     max_length = max_output_id_length
     output_id = output_id[:max_length]
-    padded_output_id = output_id.ljust(max_length, '\x00')
-    encoded_output_id = padded_output_id.encode('ascii', 'replace')
-    
+    padded_output_id = output_id.ljust(max_length, "\x00")
+    encoded_output_id = padded_output_id.encode("ascii", "replace")
+
     image_type = image_data[0]
     image = image_data[1]
     max_size = image_data[2]
     quality = image_data[3]
     if max_size is not None:
-        if hasattr(Image, 'Resampling'):
+        if hasattr(Image, "Resampling"):
             resampling = Image.Resampling.BILINEAR
         else:
             resampling = Image.ANTIALIAS
@@ -83,17 +97,23 @@ async def send_image(image_data, sid=None, output_id:str = None):
     position_after = bytesIO.tell()
     bytes_written = position_after - position_before
     print(f"Bytes written: {bytes_written}")
-    
+
     image.save(bytesIO, format=image_type, quality=quality, compress_level=1)
     preview_bytes = bytesIO.getvalue()
     await send_bytes(BinaryEventTypes.PREVIEW_IMAGE, preview_bytes, sid=sid)
-        
+
+
 async def send_socket_catch_exception(function, message):
     try:
         await function(message)
-    except (aiohttp.ClientError, aiohttp.ClientPayloadError, ConnectionResetError) as err:
+    except (
+        aiohttp.ClientError,
+        aiohttp.ClientPayloadError,
+        ConnectionResetError,
+    ) as err:
         print("send error:", err)
 
+
 def encode_bytes(event, data):
     if not isinstance(event, int):
         raise RuntimeError(f"Binary event types must be integers, got {event}")
@@ -103,9 +123,10 @@ def encode_bytes(event, data):
     message.extend(data)
     return message
 
+
 async def send_bytes(event, data, sid=None):
     message = encode_bytes(event, data)
-    
+
     print("sending image to ", event, sid)
 
     if sid is None:
@@ -113,4 +134,4 @@ async def send_bytes(event, data, sid=None):
         for ws in _sockets:
             await send_socket_catch_exception(ws.send_bytes, message)
     elif sid in sockets:
-        await send_socket_catch_exception(sockets[sid].send_bytes, message)
+        await send_socket_catch_exception(sockets[sid].send_bytes, message)

pyproject.toml

@@ -1,9 +1,9 @@
 [project]
 name = "comfyui-deploy"
 description = "Open source comfyui deployment platform, a vercel for generative workflow infra."
-version = "1.0.0"
-license = "LICENSE"
-dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg"]
+version = "2.3.4"
+license = { file = "LICENSE" }
+dependencies = ["aiofiles", "pydantic", "opencv-python", "imageio-ffmpeg", "tabulate", "brotli"]
 
 [project.urls]
 Repository = "https://github.com/BennyKok/comfyui-deploy"

requirements.txt

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

web-plugin/api.js

@@ -1,4 +0,0 @@
-/** @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

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

web-plugin/snapshot-utils.js

@@ -0,0 +1,82 @@
+// Snapshot Utilities
+// Centralized snapshot fetching with ComfyUI version fallback
+
+/**
+ * Fetches the current snapshot with ComfyUI version fallback
+ * If the snapshot response has null comfyui field, it will fetch the latest ComfyUI version
+ * and update the snapshot with the comfyui_hash
+ *
+ * @param {Function} getDataFn - Function that returns { apiKey, apiUrl } for ComfyUI version API calls
+ * @returns {Promise<Object>} - The snapshot data with comfyui field populated
+ */
+export async function fetchSnapshot(getDataFn = null) {
+  try {
+    // Fetch the current snapshot
+    const response = await fetch("/snapshot/get_current");
+    if (!response.ok) {
+      throw new Error(`Snapshot fetch failed: ${response.status}`);
+    }
+
+    const snapshot = await response.json();
+
+    // Check if comfyui field is null and we have getDataFn for fallback
+    if (snapshot.comfyui === null && getDataFn) {
+      console.log(
+        "ComfyUI version is null in snapshot, fetching latest version..."
+      );
+
+      try {
+        const data = getDataFn();
+        if (data && data.apiKey) {
+          const comfyuiVersionResponse = await fetch(
+            `/comfyui-deploy/comfyui-version?api_url=${encodeURIComponent(
+              data.apiUrl || "https://api.comfydeploy.com"
+            )}`,
+            {
+              headers: {
+                Authorization: `Bearer ${data.apiKey}`,
+              },
+            }
+          );
+
+          if (comfyuiVersionResponse.ok) {
+            const versionData = await comfyuiVersionResponse.json();
+            if (versionData.comfyui_hash) {
+              console.log(
+                `Using ComfyUI hash from API: ${versionData.comfyui_hash}`
+              );
+              snapshot.comfyui = versionData.comfyui_hash;
+            }
+          } else {
+            console.warn(
+              "Failed to fetch ComfyUI version from API:",
+              comfyuiVersionResponse.status
+            );
+          }
+        }
+      } catch (error) {
+        console.warn("Error fetching ComfyUI version fallback:", error);
+        // Continue with original snapshot even if fallback fails
+      }
+    }
+
+    return snapshot;
+  } catch (error) {
+    console.error("Error fetching snapshot:", error);
+    throw error;
+  }
+}
+
+/**
+ * Simple snapshot fetch without ComfyUI version fallback
+ * Use this when you don't need the ComfyUI version fallback logic
+ *
+ * @returns {Promise<Object>} - The snapshot data as-is
+ */
+export async function fetchSnapshotSimple() {
+  const response = await fetch("/snapshot/get_current");
+  if (!response.ok) {
+    throw new Error(`Snapshot fetch failed: ${response.status}`);
+  }
+  return response.json();
+}

web-plugin/widgets.js

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

web-plugin/workflow-list.js

@@ -0,0 +1,417 @@
+// Workflow list management
+let workflowsState = {
+  workflows: [],
+  offset: 0,
+  limit: 20,
+  loading: false,
+  hasMore: true,
+  initialized: false,
+  currentSearch: "",
+};
+
+// Make workflowsState accessible globally
+window.workflowsState = workflowsState;
+
+async function fetchWorkflows(getData, offset = 0, limit = 20, search = "") {
+  try {
+    const data = getData();
+    if (!data.apiKey) {
+      throw new Error("API key not configured");
+    }
+
+    const params = new URLSearchParams({
+      offset: offset.toString(),
+      limit: limit.toString(),
+      api_url: data.apiUrl || "https://api.comfydeploy.com",
+      ...(search && { search }),
+    });
+
+    const response = await fetch(`/comfyui-deploy/workflows?${params}`, {
+      method: "GET",
+      headers: {
+        Authorization: `Bearer ${data.apiKey}`,
+        "Content-Type": "application/json",
+      },
+    });
+
+    if (!response.ok) {
+      throw new Error(`Failed to fetch workflows: ${response.status}`);
+    }
+
+    const result = await response.json();
+    console.log("result", result);
+    return Array.isArray(result) ? result : [];
+  } catch (error) {
+    console.error("Error fetching workflows:", error);
+    return [];
+  }
+}
+
+function createWorkflowItem(workflow, getTimeAgo, getData) {
+  const li = document.createElement("li");
+  let loadingToast = null;
+  li.style.cssText = `
+      border-bottom: 1px solid #444;
+      background: transparent;
+      transition: all 0.2s ease;
+      cursor: pointer;
+    `;
+
+  li.addEventListener("mouseenter", () => {
+    li.style.background = "#333";
+  });
+
+  li.addEventListener("mouseleave", () => {
+    li.style.background = "transparent";
+  });
+
+  // Add click handler to fetch and load workflow data
+  li.addEventListener("click", async () => {
+    try {
+      const data = getData();
+      if (!data.apiKey) {
+        console.error("No API key configured");
+        return;
+      }
+
+      // Show loading toast
+      loadingToast = window.app.extensionManager.toast.add({
+        severity: "info",
+        summary: "Loading workflow...",
+        detail: `Loading "${workflow.name}"`,
+        life: 3000,
+      });
+
+      const params = new URLSearchParams({
+        workflow_id: workflow.id,
+        api_url: data.apiUrl || "https://api.comfydeploy.com",
+      });
+
+      const response = await fetch(`/comfyui-deploy/workflow?${params}`, {
+        method: "GET",
+        headers: {
+          Authorization: `Bearer ${data.apiKey}`,
+          "Content-Type": "application/json",
+        },
+      });
+
+      if (!response.ok) {
+        throw new Error(`Failed to fetch workflow: ${response.status}`);
+      }
+
+      const workflowData = await response.json();
+      console.log("Workflow data:", workflowData);
+
+      // Load the workflow into the graph
+      if (workflowData.versions && workflowData.versions.length > 0) {
+        const latestVersion = workflowData.versions[0];
+        if (latestVersion.workflow && window.app) {
+          // Load the workflow
+          window.app.loadGraphData(latestVersion.workflow);
+
+          // Wait a bit for the graph to fully load before checking for ComfyDeploy node
+          await new Promise((resolve) => setTimeout(resolve, 100));
+
+          // Check if ComfyDeploy node exists, if not add it back
+          const graph = window.app.graph;
+          let deployMeta = graph.findNodesByType("ComfyDeploy");
+
+          if (deployMeta.length === 0) {
+            // Add ComfyDeploy node with workflow metadata
+            graph.beforeChange();
+            const node = LiteGraph.createNode("ComfyDeploy");
+            node.configure({
+              widgets_values: [
+                workflow.name, // workflow_name
+                workflow.id, // workflow_id
+                latestVersion.version, // version
+              ],
+            });
+            node.pos = [0, 0];
+            graph.add(node);
+            graph.afterChange();
+
+            console.log(
+              `Added ComfyDeploy node with: name="${workflow.name}", id="${workflow.id}", version="${latestVersion.version}"`
+            );
+          }
+
+          // Show success toast
+          window.app.extensionManager.toast.add({
+            severity: "success",
+            summary: "Workflow loaded successfully",
+            detail: `Loaded "${workflow.name}" v${latestVersion.version}`,
+            life: 3000,
+          });
+        }
+      }
+    } catch (error) {
+      console.error("Error loading workflow:", error);
+      // Show error toast
+      window.app.extensionManager.toast.add({
+        severity: "error",
+        summary: "Failed to load workflow",
+        detail: error.message,
+        life: 5000,
+      });
+    } finally {
+      if (loadingToast) {
+        loadingToast.close();
+      }
+    }
+  });
+
+  const updatedDate = new Date(workflow.updated_at);
+  const timeAgo = getTimeAgo(updatedDate);
+
+  li.innerHTML = `
+      <div style="padding: 12px 16px;">
+        <div style="display: flex; align-items: flex-start; gap: 12px;">
+          ${
+            workflow.cover_image
+              ? `<img src="${workflow.cover_image}" 
+                     style="width: 40px; height: 40px; border-radius: 4px; object-fit: cover; flex-shrink: 0;"
+                     onerror="this.style.display='none'">`
+              : `<div style="width: 40px; height: 40px; border-radius: 4px; background: #444; flex-shrink: 0; display: flex; align-items: center; justify-content: center; font-size: 14px; color: #888;">
+                   ${workflow.name.charAt(0).toUpperCase()}
+                 </div>`
+          }
+          
+          <div style="flex: 1; min-width: 0;">
+            <div style="display: flex; align-items: center; gap: 8px; margin-bottom: 4px;">
+              <h4 style="margin: 0; font-size: 14px; font-weight: 400; color: #fff; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;">
+                ${workflow.name}
+              </h4>
+              ${
+                workflow.pinned
+                  ? `<span style="color: #ffd700; font-size: 12px;">📌</span>`
+                  : ""
+              }
+            </div>
+            
+            ${
+              workflow.description
+                ? `<p style="margin: 0 0 8px 0; font-size: 12px; color: #bbb; line-height: 1.3; overflow: hidden; display: -webkit-box; -webkit-line-clamp: 2; -webkit-box-orient: vertical;">
+                     ${workflow.description}
+                   </p>`
+                : ""
+            }
+            
+            <div style="display: flex; align-items: center; gap: 8px; margin-top: 8px;">
+              <img src="${workflow.user_icon}" 
+                   style="width: 16px; height: 16px; border-radius: 50%;"
+                   onerror="this.style.display='none'">
+              <span style="font-size: 11px; color: #888;">
+                ${workflow.user_name} • Updated ${timeAgo}
+              </span>
+            </div>
+          </div>
+        </div>
+      </div>
+    `;
+
+  return li;
+}
+
+async function loadMoreWorkflows(element, getData, getTimeAgo) {
+  if (workflowsState.loading || !workflowsState.hasMore) return;
+
+  workflowsState.loading = true;
+
+  const workflowsList = element.querySelector("#workflows-list");
+  const workflowsLoading = element.querySelector("#workflows-loading");
+
+  // Show loading indicator
+  workflowsLoading.style.display = "flex";
+
+  try {
+    const newWorkflows = await fetchWorkflows(
+      getData,
+      workflowsState.offset,
+      workflowsState.limit,
+      workflowsState.currentSearch
+    );
+
+    if (newWorkflows.length === 0) {
+      workflowsState.hasMore = false;
+    } else {
+      workflowsState.workflows.push(...newWorkflows);
+      workflowsState.offset += newWorkflows.length;
+
+      // Render new workflow items
+      newWorkflows.forEach((workflow) => {
+        const workflowItem = createWorkflowItem(workflow, getTimeAgo, getData);
+        workflowsList.appendChild(workflowItem);
+      });
+    }
+  } catch (error) {
+    console.error("Error loading more workflows:", error);
+  } finally {
+    workflowsState.loading = false;
+    workflowsLoading.style.display = "none";
+  }
+}
+
+function setupInfiniteScroll(container, element, getData, getTimeAgo) {
+  let isScrolling = false;
+
+  container.addEventListener("scroll", () => {
+    if (isScrolling) return;
+
+    const { scrollTop, scrollHeight, clientHeight } = container;
+
+    // Load more when scrolled to bottom (with 100px threshold)
+    if (scrollTop + clientHeight >= scrollHeight - 100) {
+      isScrolling = true;
+      loadMoreWorkflows(element, getData, getTimeAgo).finally(() => {
+        isScrolling = false;
+      });
+    }
+  });
+}
+
+async function initializeWorkflowsList(element, getData, getTimeAgo) {
+  const workflowsContainer = element.querySelector("#workflows-container");
+  const workflowsList = element.querySelector("#workflows-list");
+  const workflowsLoading = element.querySelector("#workflows-loading");
+
+  // Check if already initialized AND the DOM elements still exist
+  if (
+    workflowsState.initialized &&
+    workflowsList &&
+    workflowsList.children.length > 0
+  )
+    return;
+
+  try {
+    // Reset state (always reset when reinitializing)
+    workflowsState = {
+      workflows: [],
+      offset: 0,
+      limit: 20,
+      loading: false,
+      hasMore: true,
+      initialized: true,
+      currentSearch: "",
+    };
+
+    // Clear existing content in case of reinitialization
+    if (workflowsList) {
+      workflowsList.innerHTML = "";
+    }
+
+    // Show container and loading
+    workflowsContainer.style.display = "block";
+    workflowsLoading.style.display = "flex";
+
+    // Style the workflows list for full height scrolling
+    workflowsList.style.cssText = `
+        list-style-type: none;
+        padding: 0;
+        margin: 0;
+        height: calc(100vh - 550px);
+        overflow-y: auto;
+        scrollbar-width: thin;
+        scrollbar-color: #666 transparent;
+        border-top: 1px solid #444;
+      `;
+
+    // Add webkit scrollbar styles
+    const style = document.createElement("style");
+    style.textContent = `
+        #workflows-list::-webkit-scrollbar {
+          width: 6px;
+        }
+        #workflows-list::-webkit-scrollbar-track {
+          background: transparent;
+        }
+        #workflows-list::-webkit-scrollbar-thumb {
+          background: #666;
+          border-radius: 3px;
+        }
+        #workflows-list::-webkit-scrollbar-thumb:hover {
+          background: #777;
+        }
+      `;
+    document.head.appendChild(style);
+
+    // Setup infinite scroll
+    setupInfiniteScroll(workflowsList, element, getData, getTimeAgo);
+
+    // Load initial workflows
+    await loadMoreWorkflows(element, getData, getTimeAgo);
+
+    // Show the list
+    workflowsList.style.display = "block";
+  } catch (error) {
+    console.error("Error initializing workflows list:", error);
+    workflowsLoading.innerHTML = `
+        <div style="text-align: center; color: #e74c3c; font-size: 12px; padding: 20px;">
+          <div>Failed to load workflows</div>
+          <button onclick="initializeWorkflowsList(this.closest('.comfy-menu'), getData, getTimeAgo)" 
+                  style="margin-top: 8px; padding: 4px 8px; font-size: 11px; background: #f0f0f0; border: 1px solid #ccc; border-radius: 4px; cursor: pointer;">
+            Retry
+          </button>
+        </div>
+      `;
+  }
+}
+
+// Search functionality
+function addWorkflowSearch(element, getData, getTimeAgo) {
+  const workflowsContainer = element.querySelector("#workflows-container");
+  const h4 = workflowsContainer.querySelector("h4");
+
+  const searchContainer = document.createElement("div");
+  searchContainer.style.cssText = "margin-bottom: 12px;";
+
+  const searchInput = document.createElement("input");
+  searchInput.type = "text";
+  searchInput.placeholder = "Search workflows...";
+  searchInput.style.cssText = `
+      width: 100%;
+      padding: 8px 12px;
+      border: 1px solid #555;
+      border-radius: 6px;
+      font-size: 12px;
+      box-sizing: border-box;
+      background: #333;
+      color: #fff;
+    `;
+
+  let searchTimeout;
+  searchInput.addEventListener("input", (e) => {
+    clearTimeout(searchTimeout);
+    searchTimeout = setTimeout(async () => {
+      const searchTerm = e.target.value.trim();
+
+      // Update the tracked search term
+      workflowsState.currentSearch = searchTerm;
+
+      // Reset state for new search
+      workflowsState.workflows = [];
+      workflowsState.offset = 0;
+      workflowsState.hasMore = true;
+
+      // Clear current list
+      const workflowsList = element.querySelector("#workflows-list");
+      workflowsList.innerHTML = "";
+
+      // Load with search term
+      workflowsState.loading = false;
+      await loadMoreWorkflows(element, getData, getTimeAgo);
+    }, 300);
+  });
+
+  searchContainer.appendChild(searchInput);
+  h4.after(searchContainer);
+}
+
+// Export the functions
+export {
+  initializeWorkflowsList,
+  addWorkflowSearch,
+  workflowsState,
+  fetchWorkflows,
+  loadMoreWorkflows,
+};

web/src/components/customInputNodes.tsx

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