op load model load

comfy-nodes/external_boolean.py

@@ -12,11 +12,11 @@ class ComfyUIDeployExternalBoolean:
             "optional": {
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_checkpoints.py

@@ -25,11 +25,11 @@ class ComfyUIDeployExternalCheckpoint:
                 "default_value": (folder_paths.get_filename_list("checkpoints"), ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_image.py

@@ -17,11 +17,11 @@ class ComfyUIDeployExternalImage:
                 "default_value": ("IMAGE",),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_image_alpha.py

@@ -17,11 +17,11 @@ class ComfyUIDeployExternalImageAlpha:
                 "default_value": ("IMAGE",),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_image_batch.py

@@ -23,11 +23,11 @@ class ComfyUIDeployExternalImageBatch:
                 "default_value": ("IMAGE",),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_lora.py

@@ -31,11 +31,15 @@ class ComfyUIDeployExternalLora:
                 ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
+                ),
+                "lora_url": (
+                    "STRING",
+                    {"multiline": False, "default": ""},
                 ),
             },
         }
@@ -47,12 +51,20 @@ class ComfyUIDeployExternalLora:
 
     CATEGORY = "deploy"
 
-    def run(self, input_id, default_lora_name=None, lora_save_name=None, display_name=None, description=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
 
-        if default_lora_name.startswith("http"):
+        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
@@ -67,9 +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_number.py

@@ -20,11 +20,11 @@ class ComfyUIDeployExternalNumber:
                 ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_number_int.py

@@ -20,11 +20,11 @@ class ComfyUIDeployExternalNumberInt:
                 ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_number_slider.py

@@ -23,11 +23,11 @@ class ComfyUIDeployExternalNumberSlider:
                 ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_text.py

@@ -20,11 +20,11 @@ class ComfyUIDeployExternalText:
                 ),
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_text_list.py

@@ -21,11 +21,11 @@ class ComfyUIDeployExternalTextList:
             "optional": {
                 "display_name": (
                     "STRING",
-                    {"multiline": False, "default": "Name of the node (optional)"},
+                    {"multiline": False, "default": ""},
                 ),
                 "description": (
                     "STRING",
-                    {"multiline": True, "default": "Description of the node (optional)"},
+                    {"multiline": True, "default": ""},
                 ),
             }
         }

comfy-nodes/external_video.py

@@ -764,14 +764,14 @@ class ComfyUIDeployExternalVideo:
                 "optional": {
                     "meta_batch": ("VHS_BatchManager",),
                     "vae": ("VAE",),
-                    "default_value": (sorted(files),),
+                    "default_video": (sorted(files),),
                     "display_name": (
                         "STRING",
-                        {"multiline": False, "default": "Name of the node (optional)"},
+                        {"multiline": False, "default": ""},
                     ),
                     "description": (
                         "STRING",
-                        {"multiline": True, "default": "Description of the node (optional)"},
+                        {"multiline": True, "default": ""},
                     ),
                 },
                 "hidden": {
@@ -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"}

custom_routes.py

@@ -1,4 +1,5 @@
 from io import BytesIO
+from pprint import pprint
 from aiohttp import web
 import os
 import requests
@@ -56,39 +57,60 @@ retry_delay_multiplier = float(os.environ.get('RETRY_DELAY_MULTIPLIER', '2'))
 
 print(f"max_retries: {max_retries}, retry_delay_multiplier: {retry_delay_multiplier}")
 
+import time
+
 async def async_request_with_retry(method, url, disable_timeout=False, **kwargs):
     global client_session
     await ensure_client_session()
-    # async with aiohttp.ClientSession() as client_session:
     retry_delay = 1  # Start with 1 second delay
     initial_timeout = 5  # 5 seconds timeout for the initial connection
 
+    start_time = time.time()
     for attempt in range(max_retries):
         try:
-            # Set a timeout for the initial connection
             if not disable_timeout:
                 timeout = ClientTimeout(total=None, connect=initial_timeout)
                 kwargs['timeout'] = timeout
 
+            request_start = time.time()
             async with client_session.request(method, url, **kwargs) as response:
+                request_end = time.time()
+                logger.info(f"Request attempt {attempt + 1} took {request_end - request_start:.2f} seconds")
+                
+                if response.status != 200:
+                    error_body = await response.text()
+                    logger.error(f"Request failed with status {response.status} and body {error_body}")
+                    # raise Exception(f"Request failed with status {response.status}")
+                
                 response.raise_for_status()
                 if method.upper() == 'GET':
                     await response.read()
+                
+                total_time = time.time() - start_time
+                logger.info(f"Request succeeded after {total_time:.2f} seconds (attempt {attempt + 1}/{max_retries})")
                 return response
         except asyncio.TimeoutError:
             logger.warning(f"Request timed out after {initial_timeout} seconds (attempt {attempt + 1}/{max_retries})")
         except ClientError as e:
+            end_time = time.time()
+            logger.error(f"Request failed (attempt {attempt + 1}/{max_retries}): {e}")
+            logger.error(f"Time taken for failed attempt: {end_time - request_start:.2f} seconds")
+            logger.error(f"Total time elapsed: {end_time - start_time:.2f} seconds")
+            
+            # Log the response body for ClientError as well
+            if hasattr(e, 'response') and e.response is not None:
+                error_body = await e.response.text()
+                logger.error(f"Error response body: {error_body}")
+            
             if attempt == max_retries - 1:
                 logger.error(f"Request failed after {max_retries} attempts: {e}")
-                # raise
+                raise
-            logger.warning(f"Request failed (attempt {attempt + 1}/{max_retries}): {e}")
         
-        # Wait before retrying
         await asyncio.sleep(retry_delay)
-        retry_delay *= retry_delay_multiplier  # Exponential backoff
+        retry_delay *= retry_delay_multiplier
 
-    # If all retries fail, raise an exception
+    total_time = time.time() - start_time
-    raise Exception(f"Request failed after {max_retries} attempts")
+    raise Exception(f"Request failed after {max_retries} attempts and {total_time:.2f} seconds")
 
 from logging import basicConfig, getLogger
 
@@ -259,7 +281,7 @@ def apply_random_seed_to_workflow(workflow_api):
                     logger.info(f"Applied random noise_seed {workflow_api[key]['inputs']['noise_seed']} to SamplerCustom")
                     continue
 
-def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str | None = None):
+def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
     # Loop through each of the inputs and replace them
     for key, value in workflow_api.items():
         if 'inputs' in value:
@@ -292,7 +314,7 @@ def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str | None = N
                     value['inputs']["images"] = new_value
 
                 if value["class_type"] == "ComfyUIDeployExternalLora":
-                    value["inputs"]["default_lora_name"] = new_value
+                    value["inputs"]["lora_url"] = new_value
 
                 if value["class_type"] == "ComfyUIDeployExternalSlider":
                     value["inputs"]["default_value"] = new_value
@@ -607,9 +629,10 @@ async def upload_file_endpoint(request):
                 with open(file_path, 'rb') as f:
                     headers = {
                         "Content-Type": file_type,
-                        # "x-amz-acl": "public-read",
+                        # "Content-Length": str(file_size)
-                        "Content-Length": str(file_size)
                     }
+                    if content.get('include_acl') is True:
+                        headers["x-amz-acl"] = "public-read"
                     upload_response = await async_request_with_retry('PUT', upload_url, data=f, headers=headers)
                     if upload_response.status == 200:
                         return web.json_response({
@@ -992,17 +1015,22 @@ async def send_json_override(self, event, data, sid=None):
         # await update_run_with_output(prompt_id, data)
 
     if event == 'executed' and 'node' in data and 'output' in data:
+        node_meta = None
         if prompt_id in prompt_metadata:
             node = data.get('node')
             class_type = prompt_metadata[prompt_id].workflow_api[node]['class_type']
             logger.info(f"Executed {class_type} {data}")
+            node_meta = {
+                "node_id": node,
+                "node_class": class_type, 
+            }
             if class_type == "PreviewImage":
                 logger.info("Skipping preview image")
                 return
         else:
             logger.info(f"Executed {data}")
             
-        await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
+        await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'), node_meta=node_meta)
         # await update_run_with_output(prompt_id, data.get('output'), node_id=data.get('node'))
         # update_run_with_output(prompt_id, data.get('output'))
 
@@ -1122,7 +1150,7 @@ async def update_run(prompt_id: str, status: Status):
                 })
 
 
-async def upload_file(prompt_id, filename, subfolder=None, content_type="image/png", type="output"):
+async def upload_file(prompt_id, filename, subfolder=None, content_type="image/png", type="output", item=None):
     """
     Uploads file to S3 bucket using S3 client object
     :return: None
@@ -1157,29 +1185,41 @@ async def upload_file(prompt_id, filename, subfolder=None, content_type="image/p
     prompt_id = quote(prompt_id)
     content_type = quote(content_type)
 
+    async with aiofiles.open(file, 'rb') as f:
+        data = await f.read()
+        size = str(len(data))
         target_url = f"{file_upload_endpoint}?file_name={filename}&run_id={prompt_id}&type={content_type}&version=v2"
 
         start_time = time.time()  # Start timing here
+        logger.info(f"Target URL: {target_url}")
         result = await async_request_with_retry("GET", target_url, disable_timeout=True)
         end_time = time.time()  # End timing after the request is complete
         logger.info("Time taken for getting file upload endpoint: {:.2f} seconds".format(end_time - start_time))
         ok = await result.json()
         
-    start_time = time.time()  # Start timing here
+        logger.info(f"Result: {ok}")
 
-    async with aiofiles.open(file, 'rb') as f:
+        start_time = time.time()  # Start timing here
-        data = await f.read()
         headers = {
-            # "x-amz-acl": "public-read",
             "Content-Type": content_type,
-            "Content-Length": str(len(data)),
+            # "Content-Length": size,
         }
+        
+        if ok.get('include_acl') is True:
+            headers["x-amz-acl"] = "public-read"
+        
         # response = requests.put(ok.get("url"), headers=headers, data=data)
         response = await async_request_with_retry('PUT', ok.get("url"), headers=headers, data=data)
         logger.info(f"Upload file response status: {response.status}, status text: {response.reason}")
         end_time = time.time()  # End timing after the request is complete
         logger.info("Upload time: {:.2f} seconds".format(end_time - start_time))
         
+        if item is not None:
+            file_download_url = ok.get("download_url")
+            if file_download_url is not None:
+                item["url"] = file_download_url
+            item["upload_duration"] = end_time - start_time
+
 def have_pending_upload(prompt_id):
     if prompt_id in prompt_metadata and len(prompt_metadata[prompt_id].uploading_nodes) > 0:
         logger.info(f"Have pending upload {len(prompt_metadata[prompt_id].uploading_nodes)}")
@@ -1292,14 +1332,15 @@ async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, d
             item.get("filename"),
             subfolder=item.get("subfolder"),
             type=item.get("type"),
-            content_type=file_type
+            content_type=file_type,
+            item=item
         ))
 
     # Execute all upload tasks concurrently
     await asyncio.gather(*upload_tasks)
 
 # Upload files in the background
-async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=True):
+async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=True, node_meta=None):
     try:
         upload_tasks = [
             handle_upload(prompt_id, data, 'images', "content_type", "image/png"),
@@ -1310,12 +1351,21 @@ async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=T
 
         await asyncio.gather(*upload_tasks)
 
+        status_endpoint = prompt_metadata[prompt_id].status_endpoint
         if have_upload:
+            if status_endpoint is not None:
+                body = {
+                    "run_id": prompt_id,
+                    "output_data": data,
+                    "node_meta": node_meta,
+                }
+                # pprint(body)
+                await async_request_with_retry('POST', status_endpoint, json=body)
             await update_file_status(prompt_id, data, False, node_id=node_id)
     except Exception as e:
         await handle_error(prompt_id, data, e)
 
-async def update_run_with_output(prompt_id, data, node_id=None):
+async def update_run_with_output(prompt_id, data, node_id=None, node_meta=None):
     if prompt_id not in prompt_metadata:
         return
 
@@ -1326,7 +1376,8 @@ async def update_run_with_output(prompt_id, data, node_id=None):
 
     body = {
         "run_id": prompt_id,
-        "output_data": data
+        "output_data": data,
+        "node_meta": node_meta,
     }
     have_upload_media = 'images' in data or 'files' in data or 'gifs' in data or 'mesh' in data
     if bypass_upload and have_upload_media:
@@ -1340,14 +1391,13 @@ async def update_run_with_output(prompt_id, data, node_id=None):
             if have_upload_media:
                 await update_file_status(prompt_id, data, True, node_id=node_id)
 
-            asyncio.create_task(upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload_media))
+            asyncio.create_task(upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload_media, node_meta=node_meta))
             # await upload_in_background(prompt_id, data, node_id=node_id, have_upload=have_upload)
 
         except Exception as e:
             await handle_error(prompt_id, data, e)
-
     # requests.post(status_endpoint, json=body)
-    if status_endpoint is not None:
+    elif status_endpoint is not None:
         await async_request_with_retry('POST', status_endpoint, json=body)
 
     await send('outputs_uploaded', {