op load model load

comfy-nodes/external_lora.py

@@ -51,7 +51,15 @@ class ComfyUIDeployExternalLora:
 
     CATEGORY = "deploy"
 
-    def run(self, input_id, default_lora_name=None, lora_save_name=None, display_name=None, description=None, lora_url=None):
+    def run(
+        self,
+        input_id,
+        default_lora_name=None,
+        lora_save_name=None,
+        display_name=None,
+        description=None,
+        lora_url=None,
+    ):
         import requests
         import os
         import uuid
@@ -71,9 +79,9 @@ class ComfyUIDeployExternalLora:
                 folder_paths.folder_names_and_paths["loras"][0][0], lora_save_name
             )
             print(destination_path)
-            print("Downloading external lora - " + input_id + " to " + destination_path)
+            print("Downloading external lora - " + lora_url + " to " + destination_path)
             response = requests.get(
-                input_id,
+                lora_url,
                 headers={"User-Agent": "Mozilla/5.0"},
                 allow_redirects=True,
             )

comfy-nodes/external_video.py

@@ -764,7 +764,7 @@ class ComfyUIDeployExternalVideo:
                 "optional": {
                     "meta_batch": ("VHS_BatchManager",),
                     "vae": ("VAE",),
-                    "default_value": (sorted(files),),
+                    "default_video": (sorted(files),),
                     "display_name": (
                         "STRING",
                         {"multiline": False, "default": ""},
@@ -834,7 +834,7 @@ class ComfyUIDeployExternalVideo:
                 ):
                     out_file.write(chunk)
         else:
-            video = kwargs.get("default_value", "")
+            video = kwargs.get("default_video", None)
             if video is None:
                 raise "No default video given and no external video provided"
             video_path = folder_paths.get_annotated_filepath(video.strip('"'))

comfy-nodes/outerport_load_model.py

@@ -0,0 +1,39 @@
+import folder_paths
+from PIL import Image, ImageOps
+import numpy as np
+import torch
+import folder_paths
+from tqdm import tqdm
+
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+
+WILDCARD = AnyType("*")
+
+
+class OuterPortLoadModel:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": { 
+                "ckpt_name": (folder_paths.get_filename_list("checkpoints"), {"tooltip": "The name of the checkpoint (model) to load."}),
+            }
+        }
+    RETURN_TYPES = ("MODEL", "CLIP", "VAE")
+    OUTPUT_TOOLTIPS = ("The model used for denoising latents.", 
+                       "The CLIP model used for encoding text prompts.", 
+                       "The VAE model used for encoding and decoding images to and from latent space.")
+    FUNCTION = "load_checkpoint"
+
+    CATEGORY = "loaders"
+    DESCRIPTION = "Loads a diffusion model checkpoint, diffusion models are used to denoise latents."
+
+    def load_checkpoint(self, ckpt_name):
+        ckpt_path = folder_paths.get_full_path("checkpoints", ckpt_name)
+        out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))
+        return out[:3]
+
+NODE_CLASS_MAPPINGS = {"OuterPortLoadModel": OuterPortLoadModel}
+NODE_DISPLAY_NAME_MAPPINGS = {"OuterPortLoadModel": "Outer Port Load Model"}