fix: graph load

This reverts commit 5a78ca97bd.

comfy-nodes/external_face_model.py

@@ -0,0 +1,108 @@
+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 = "deploy"
+
+    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_batch.py

@@ -39,14 +39,34 @@ class ComfyUIDeployExternalImageBatch:
 
     CATEGORY = "image"
     
+    def process_image(self, image):
+        image = ImageOps.exif_transpose(image)
+        image = image.convert("RGB")
+        image = np.array(image).astype(np.float32) / 255.0
+        image_tensor = torch.from_numpy(image)[None,]
+        return image_tensor
+    
     def run(self, input_id, images=None, default_value=None, display_name=None, description=None):
+        import requests
+        import zipfile
+        import io
+        
         processed_images = []
         try:
             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'):
-                    import requests
+                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))
+                    for file_name in zip_file.namelist():
+                        if file_name.lower().endswith(('.png', '.jpg', '.jpeg')):
+                            with zip_file.open(file_name) as file:
+                                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)

comfy-nodes/external_lora.py

@@ -25,10 +25,10 @@ class ComfyUIDeployExternalLora:
             },
             "optional": {
                 "default_lora_name": (folder_paths.get_filename_list("loras"),),
-                "lora_save_name": ( # if `default_lora_name` is a link to download a file, we will attempt to save it with this name
+                "lora_save_name": (  # if `default_lora_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": ""},
@@ -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_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 = "text"
+
+    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_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('"'))

custom_routes.py

@@ -24,7 +24,7 @@ from typing import Dict, List, Union, Any, Optional
 from PIL import Image
 import copy
 import struct
-from aiohttp import web, ClientSession, ClientError, ClientTimeout
+from aiohttp import web, ClientSession, ClientError, ClientTimeout, ClientResponseError
 import atexit
 
 # Global session
@@ -59,7 +59,7 @@ print(f"max_retries: {max_retries}, retry_delay_multiplier: {retry_delay_multipl
 
 import time
 
-async def async_request_with_retry(method, url, disable_timeout=False, **kwargs):
+async def async_request_with_retry(method, url, disable_timeout=False, token=None, **kwargs):
     global client_session
     await ensure_client_session()
     retry_delay = 1  # Start with 1 second delay
@@ -72,14 +72,19 @@ async def async_request_with_retry(method, url, disable_timeout=False, **kwargs)
                 timeout = ClientTimeout(total=None, connect=initial_timeout)
                 kwargs['timeout'] = timeout
 
+            if token is not None:
+                if 'headers' not in kwargs:
+                    kwargs['headers'] = {}
+                kwargs['headers']['Authorization'] = f"Bearer {token}"
+
             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")
+                # 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}")
+                    # 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()
@@ -87,7 +92,7 @@ async def async_request_with_retry(method, url, disable_timeout=False, **kwargs)
                     await response.read()
                 
                 total_time = time.time() - start_time
-                logger.info(f"Request succeeded after {total_time:.2f} seconds (attempt {attempt + 1}/{max_retries})")
+                # 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})")
@@ -188,6 +193,9 @@ bypass_upload = os.environ.get('CD_BYPASS_UPLOAD', 'false').lower() == 'true'
 
 logger.info(f"CD_BYPASS_UPLOAD {bypass_upload}")
 
+create_native_run_endpoint = None
+status_endpoint = None
+file_upload_endpoint = None
 
 def clear_current_prompt(sid):
     prompt_server = server.PromptServer.instance
@@ -304,7 +312,7 @@ def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
                 value['inputs']["input_id"] = new_value
 
                 # Fix for external text default value
-                if (value["class_type"] == "ComfyUIDeployExternalText"):
+                if (value["class_type"] == "ComfyUIDeployExternalText" or value["class_type"] == "ComfyUIDeployExternalTextAny"):
                     value['inputs']["default_value"] = new_value
 
                 if (value["class_type"] == "ComfyUIDeployExternalCheckpoint"):
@@ -322,9 +330,13 @@ def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
                 if value["class_type"] == "ComfyUIDeployExternalBoolean":
                     value["inputs"]["default_value"] = new_value
 
+                if value["class_type"] == "ComfyUIDeployExternalFaceModel":
+                    value["inputs"]["face_model_url"] = new_value
+
 def send_prompt(sid: str, inputs: StreamingPrompt):
     # workflow_api = inputs.workflow_api
     workflow_api = copy.deepcopy(inputs.workflow_api)
+    workflow = copy.deepcopy(inputs.workflow)
 
     # Random seed
     apply_random_seed_to_workflow(workflow_api)
@@ -340,7 +352,8 @@ def send_prompt(sid: str, inputs: StreamingPrompt):
     prompt = {
         "prompt": workflow_api,
         "client_id": sid, #"comfy_deploy_instance", #api.client_id
-        "prompt_id": prompt_id
+        "prompt_id": prompt_id,
+        "extra_data": {"extra_pnginfo": {"workflow": workflow}},
     }
 
     try:
@@ -359,15 +372,55 @@ def send_prompt(sid: str, inputs: StreamingPrompt):
         logger.info(f"error: {error_type}, {e}")
         logger.info(f"stack trace: {stack_trace_short}")
 
+
+    # # Add custom logic here
+    # if 'prompt_id' in response:
+    #     prompt_id = response['prompt_id']
+    #     if prompt_id in prompt_metadata:
+    #         metadata = prompt_metadata[prompt_id]
+            
+    #         # Add additional information to the response
+    #         response['status_endpoint'] = metadata.status_endpoint
+    #         response['file_upload_endpoint'] = metadata.file_upload_endpoint
+    
+    return response
+
+
 @server.PromptServer.instance.routes.post("/comfyui-deploy/run")
 async def comfy_deploy_run(request):
+    # Extract the bearer token from the Authorization header
     data = await request.json()
+    
+    client_id = data.get("client_id")
+    # We proxy the request to Comfy Deploy, this is a native run
+    if "is_native_run" in data:
+        async with aiohttp.ClientSession() as session:
+            pprint(data)
+            # headers = request.headers.copy()
+            # headers['Content-Type'] = 'application/json'
+            async with session.post(data.get("native_run_api_endpoint"), json=data, headers={
+                'Content-Type': 'application/json',
+                'Authorization': request.headers.get('Authorization')
+            }) as response:
+                data = await response.json()
+                print(data)
+    
+    if "cd_token" in data:
+        token = data["cd_token"]
+    else:
+        auth_header = request.headers.get('Authorization')
+        token = None
+        if auth_header:
+            parts = auth_header.split()
+            if len(parts) == 2 and parts[0].lower() == 'bearer':
+                token = parts[1]
 
     # In older version, we use workflow_api, but this has inputs already swapped in nextjs frontend, which is tricky
     workflow_api = data.get("workflow_api_raw")
     # The prompt id generated from comfy deploy, can be None
     prompt_id = data.get("prompt_id")
     inputs = data.get("inputs")
+    workflow = data.get("workflow")
 
     # Now it handles directly in here
     apply_random_seed_to_workflow(workflow_api)
@@ -375,14 +428,16 @@ async def comfy_deploy_run(request):
 
     prompt = {
         "prompt": workflow_api,
-        "client_id": "comfy_deploy_instance", #api.client_id
-        "prompt_id": prompt_id
+        "client_id": "comfy_deploy_instance" if client_id is None else client_id,
+        "prompt_id": prompt_id,
+        "extra_data": {"extra_pnginfo": {"workflow": workflow}}
     }
 
     prompt_metadata[prompt_id] = SimplePrompt(
         status_endpoint=data.get('status_endpoint'),
         file_upload_endpoint=data.get('file_upload_endpoint'),
-        workflow_api=workflow_api
+        workflow_api=workflow_api,
+        token=token
     )
 
     try:
@@ -420,12 +475,13 @@ async def comfy_deploy_run(request):
 
     return web.json_response(res, status=status)
 
-async def stream_prompt(data):
+async def stream_prompt(data, token):
     # In older version, we use workflow_api, but this has inputs already swapped in nextjs frontend, which is tricky
     workflow_api = data.get("workflow_api_raw")
     # The prompt id generated from comfy deploy, can be None
     prompt_id = data.get("prompt_id")
     inputs = data.get("inputs")
+    workflow = data.get("workflow")
 
     # Now it handles directly in here
     apply_random_seed_to_workflow(workflow_api)
@@ -434,13 +490,15 @@ async def stream_prompt(data):
     prompt = {
         "prompt": workflow_api,
         "client_id": "comfy_deploy_instance", #api.client_id
-        "prompt_id": prompt_id
+        "prompt_id": prompt_id,
+        "extra_data": {"extra_pnginfo": {"workflow": workflow}},
     }
 
     prompt_metadata[prompt_id] = SimplePrompt(
         status_endpoint=data.get('status_endpoint'),
         file_upload_endpoint=data.get('file_upload_endpoint'),
-        workflow_api=workflow_api
+        workflow_api=workflow_api,
+        token=token
     )
 
     # log('info', "Begin prompt", prompt=prompt)
@@ -489,6 +547,14 @@ comfy_message_queues: Dict[str, asyncio.Queue] = {}
 async def stream_response(request):
     response = web.StreamResponse(status=200, reason='OK', headers={'Content-Type': 'text/event-stream'})
     await response.prepare(request)
+    
+    # Extract the bearer token from the Authorization header
+    auth_header = request.headers.get('Authorization')
+    token = None
+    if auth_header:
+        parts = auth_header.split()
+        if len(parts) == 2 and parts[0].lower() == 'bearer':
+            token = parts[1]
 
     pending = True
     data = await request.json()
@@ -500,7 +566,7 @@ async def stream_response(request):
         log('info', 'Streaming prompt')
 
         try:
-            result = await stream_prompt(data=data)
+            result = await stream_prompt(data=data, token=token)
             await response.write(f"event: event_update\ndata: {json.dumps(result)}\n\n".encode('utf-8'))
             # await response.write(.encode('utf-8'))
             await response.drain()  # Ensure the buffer is flushed
@@ -759,6 +825,7 @@ async def websocket_handler(request):
                 inputs={},
                 status_endpoint=status_endpoint,
                 file_upload_endpoint=request.rel_url.query.get('file_upload_endpoint', None),
+                workflow=workflow["workflow"],
             )
 
             await update_realtime_run_status(realtime_id, status_endpoint, Status.RUNNING)
@@ -948,6 +1015,7 @@ async def send_json_override(self, event, data, sid=None):
             "data": data
         })
 
+    asyncio.create_task(update_run_ws_event(prompt_id, event, data))
     # event_emitter.emit("send_json", {
     #     "event": event,
     #     "data": data
@@ -1045,6 +1113,7 @@ async def update_run_live_status(prompt_id, live_status, calculated_progress: fl
         return
 
     status_endpoint = prompt_metadata[prompt_id].status_endpoint
+    token = prompt_metadata[prompt_id].token
 
     if (status_endpoint is None):
         return
@@ -1068,7 +1137,27 @@ async def update_run_live_status(prompt_id, live_status, calculated_progress: fl
         })
 
     # requests.post(status_endpoint, json=body)
-    await async_request_with_retry('POST', status_endpoint, json=body)
+    await async_request_with_retry('POST', status_endpoint, token=token, json=body)
+
+async def update_run_ws_event(prompt_id: str, event: str, data: dict):
+    if prompt_id not in prompt_metadata:
+        return
+    
+    # print("update_run_ws_event", prompt_id, event, data)
+    status_endpoint = prompt_metadata[prompt_id].status_endpoint
+    
+    if status_endpoint is None:
+        return
+    
+    token = prompt_metadata[prompt_id].token
+    body = {
+        "run_id": prompt_id,
+        "ws_event": {
+            "event": event,
+            "data": data,
+        },
+    }
+    await async_request_with_retry('POST', status_endpoint, token=token, json=body)
 
 
 async def update_run(prompt_id: str, status: Status):
@@ -1099,7 +1188,8 @@ async def update_run(prompt_id: str, status: Status):
         try:
             # requests.post(status_endpoint, json=body)
             if (status_endpoint is not None):
-                await async_request_with_retry('POST', status_endpoint, json=body)
+                token = prompt_metadata[prompt_id].token
+                await async_request_with_retry('POST', status_endpoint, token=token, json=body)
 
             if (status_endpoint is not None) and cd_enable_run_log and (status == Status.SUCCESS or status == Status.FAILED):
                 try:
@@ -1129,7 +1219,7 @@ async def update_run(prompt_id: str, status: Status):
                             ]
                         }
 
-                        await async_request_with_retry('POST', status_endpoint, json=body)
+                        await async_request_with_retry('POST', status_endpoint, token=token, json=body)
                         # requests.post(status_endpoint, json=body)
                 except Exception as log_error:
                     logger.info(f"Error reading log file: {log_error}")
@@ -1150,6 +1240,47 @@ async def update_run(prompt_id: str, status: Status):
                 })
 
 
+async def file_sender(file_object, chunk_size):
+    while True:
+        chunk = await file_object.read(chunk_size)
+        if not chunk:
+            break
+        yield chunk
+        
+        
+chunk_size = 1024 * 1024  # 1MB chunks, adjust as needed
+
+async def upload_with_retry(session, url, headers, data, max_retries=3, initial_delay=1):
+    start_time = time.time()  # Start timing here
+    for attempt in range(max_retries):
+        try:
+            async with session.put(url, headers=headers, data=data) as response:
+                upload_duration = time.time() - start_time
+                logger.info(f"Upload attempt {attempt + 1} completed in {upload_duration:.2f} seconds")
+                logger.info(f"Upload response status: {response.status}")
+                
+                response.raise_for_status()  # This will raise an exception for 4xx and 5xx status codes
+                
+                response_text = await response.text()
+                logger.info(f"Response body: {response_text[:1000]}...")
+                
+                logger.info("Upload successful")
+                return response  # Successful upload, exit the retry loop
+                
+        except (ClientError, ClientResponseError) as e:
+            logger.error(f"Upload attempt {attempt + 1} failed: {str(e)}")
+            if attempt < max_retries - 1:  # If it's not the last attempt
+                delay = initial_delay * (2 ** attempt)  # Exponential backoff
+                logger.info(f"Retrying in {delay} seconds...")
+                await asyncio.sleep(delay)
+            else:
+                logger.error("Max retries reached. Upload failed.")
+                raise  # Re-raise the last exception if all retries are exhausted
+        except Exception as e:
+            logger.error(f"Unexpected error during upload: {str(e)}")
+            logger.error(traceback.format_exc())
+            raise  # Re-raise unexpected exceptions immediately
+
 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
@@ -1180,45 +1311,60 @@ async def upload_file(prompt_id, filename, subfolder=None, content_type="image/p
     logger.info(f"Uploading file {file}")
 
     file_upload_endpoint = prompt_metadata[prompt_id].file_upload_endpoint
-
+    token = prompt_metadata[prompt_id].token
     filename = quote(filename)
     prompt_id = quote(prompt_id)
     content_type = quote(content_type)
 
+    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, token=token)
+    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()
+    
+    logger.info(f"Result: {ok}")
+
     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()
+        # logger.info(f"Image size: {size}")
         
-        logger.info(f"Result: {ok}")
-
         start_time = time.time()  # Start timing here
         headers = {
             "Content-Type": content_type,
-            # "Content-Length": size,
+            "Content-Length": size,
         }
-        
+
+        logger.info(headers)
+
         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}")
+        # 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}")
+
+        async with aiohttp.ClientSession() as session:
+            try:
+                response = await upload_with_retry(session, ok.get("url"), headers, data)
+                # Process successful response...
+            except Exception as e:
+                # Handle final failure...
+                logger.error(f"Upload ultimately failed: {str(e)}")
+
         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
+    
+    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
+        if ok.get("is_public") is not None:
+            item["is_public"] = ok.get("is_public")
 
 def have_pending_upload(prompt_id):
     if prompt_id in prompt_metadata and len(prompt_metadata[prompt_id].uploading_nodes) > 0:
@@ -1335,6 +1481,14 @@ async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, d
             content_type=file_type,
             item=item
         ))
+        # await upload_file(
+        #     prompt_id,
+        #     item.get("filename"),
+        #     subfolder=item.get("subfolder"),
+        #     type=item.get("type"),
+        #     content_type=file_type,
+        #     item=item
+        # )
 
     # Execute all upload tasks concurrently
     await asyncio.gather(*upload_tasks)
@@ -1342,16 +1496,23 @@ async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, d
 # Upload files in the background
 async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=True, node_meta=None):
     try:
+        # await handle_upload(prompt_id, data, 'images', "content_type", "image/png")
+        # await handle_upload(prompt_id, data, 'files', "content_type", "image/png")
+        # await handle_upload(prompt_id, data, 'gifs', "format", "image/gif")
+        # await handle_upload(prompt_id, data, 'mesh', "format", "application/octet-stream")
         upload_tasks = [
-            handle_upload(prompt_id, data, 'images', "content_type", "image/png"),
-            handle_upload(prompt_id, data, 'files', "content_type", "image/png"),
-            handle_upload(prompt_id, data, 'gifs', "format", "image/gif"),
-            handle_upload(prompt_id, data, 'mesh', "format", "application/octet-stream")
+            handle_upload(prompt_id, data, "images", "content_type", "image/png"),
+            handle_upload(prompt_id, data, "files", "content_type", "image/png"),
+            handle_upload(prompt_id, data, "gifs", "format", "image/gif"),
+            handle_upload(
+                prompt_id, data, "mesh", "format", "application/octet-stream"
+            ),
         ]
 
         await asyncio.gather(*upload_tasks)
 
         status_endpoint = prompt_metadata[prompt_id].status_endpoint
+        token = prompt_metadata[prompt_id].token
         if have_upload:
             if status_endpoint is not None:
                 body = {
@@ -1360,7 +1521,7 @@ async def upload_in_background(prompt_id: str, data, node_id=None, have_upload=T
                     "node_meta": node_meta,
                 }
                 # pprint(body)
-                await async_request_with_retry('POST', status_endpoint, json=body)
+                await async_request_with_retry('POST', status_endpoint, token=token, 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)
@@ -1379,7 +1540,10 @@ async def update_run_with_output(prompt_id, data, node_id=None, node_meta=None):
         "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
+    pprint(body)
+    have_upload_media = False
+    if data is not None:
+        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:
         print("CD_BYPASS_UPLOAD is enabled, skipping the upload of the output:", node_id)
         return
@@ -1391,14 +1555,16 @@ async def update_run_with_output(prompt_id, data, node_id=None, node_meta=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, node_meta=node_meta))
+            # 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_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)
     elif status_endpoint is not None:
-        await async_request_with_retry('POST', status_endpoint, json=body)
+        token = prompt_metadata[prompt_id].token
+        await async_request_with_retry('POST', status_endpoint, token=token, json=body)
 
     await send('outputs_uploaded', {
         "prompt_id": prompt_id

globals.py

@@ -24,11 +24,14 @@ class StreamingPrompt(BaseModel):
     running_prompt_ids: set[str] = set()
     status_endpoint: Optional[str]
     file_upload_endpoint: Optional[str]
+    workflow: Any
     
 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()

web-plugin/index.js

@@ -83,6 +83,23 @@ function dispatchAPIEventData(data) {
   }
 }
 
+const context = {
+  selectedWorkflowInfo: null,
+};
+// let selectedWorkflowInfo = {
+//   workflow_id: "05da8f2b-63af-4c0c-86dd-08d01ec512b7",
+//   machine_id: "45ac5f85-b7b6-436f-8d97-2383b25485f3",
+//   native_run_api_endpoint: "http://localhost:3011/api/run",
+// };
+
+function getSelectedWorkflowInfo() {
+  return context.selectedWorkflowInfo;
+}
+
+function setSelectedWorkflowInfo(info) {
+  context.selectedWorkflowInfo = info;
+}
+
 /** @typedef {import('../../../web/types/comfy.js').ComfyExtension} ComfyExtension*/
 /** @type {ComfyExtension} */
 const ext = {
@@ -103,10 +120,10 @@ const ext = {
 
       sendEventToCD("cd_plugin_onInit");
 
-      app.queuePrompt = ((originalFunction) => async () => {
-        // const prompt = await app.graphToPrompt();
-        sendEventToCD("cd_plugin_onQueuePromptTrigger");
-      })(app.queuePrompt);
+      // app.queuePrompt = ((originalFunction) => async () => {
+      //   // const prompt = await app.graphToPrompt();
+      //   sendEventToCD("cd_plugin_onQueuePromptTrigger");
+      // })(app.queuePrompt);
 
       // // Intercept the onkeydown event
       // window.addEventListener(
@@ -192,11 +209,13 @@ const ext = {
 
   registerCustomNodes() {
     /** @type {LGraphNode}*/
-    class ComfyDeploy {
-      color = LGraphCanvas.node_colors.yellow.color;
-      bgcolor = LGraphCanvas.node_colors.yellow.bgcolor;
-      groupcolor = LGraphCanvas.node_colors.yellow.groupcolor;
+    class ComfyDeploy extends LGraphNode {
       constructor() {
+        super();
+        this.color = LGraphCanvas.node_colors.yellow.color;
+        this.bgcolor = LGraphCanvas.node_colors.yellow.bgcolor;
+        this.groupcolor = LGraphCanvas.node_colors.yellow.groupcolor;
+
         if (!this.properties) {
           this.properties = {};
           this.properties.workflow_name = "";
@@ -204,62 +223,75 @@ const ext = {
           this.properties.version = "";
         }
 
-        ComfyWidgets.STRING(
-          this,
+        this.addWidget(
+          "text",
           "workflow_name",
-          [
-            "",
-            {
-              default: this.properties.workflow_name,
-              multiline: false,
-            },
-          ],
-          app,
+          this.properties.workflow_name,
+          (v) => {
+            this.properties.workflow_name = v;
+          },
+          { multiline: false },
         );
 
-        ComfyWidgets.STRING(
-          this,
+        this.addWidget(
+          "text",
           "workflow_id",
-          [
-            "",
-            {
-              default: this.properties.workflow_id,
-              multiline: false,
-            },
-          ],
-          app,
+          this.properties.workflow_id,
+          (v) => {
+            this.properties.workflow_id = v;
+          },
+          { multiline: false },
         );
 
-        ComfyWidgets.STRING(
-          this,
+        this.addWidget(
+          "text",
           "version",
-          ["", { default: this.properties.version, multiline: false }],
-          app,
+          this.properties.version,
+          (v) => {
+            this.properties.version = v;
+          },
+          { multiline: false },
         );
 
-        // this.widgets.forEach((w) => {
-        //   // w.computeSize = () => [200,10]
-        //   w.computedHeight = 2;
-        // })
-
         this.widgets_start_y = 10;
-        this.setSize(this.computeSize());
-
-        // const config = {  };
-
-        // console.log(this);
         this.serialize_widgets = true;
         this.isVirtualNode = true;
       }
+
+      onExecute() {
+        // This method is called when the node is executed
+        // You can add any necessary logic here
+      }
+
+      onSerialize(o) {
+        // This method is called when the node is being serialized
+        // Ensure all necessary data is saved
+        if (!o.properties) {
+          o.properties = {};
+        }
+        o.properties.workflow_name = this.properties.workflow_name;
+        o.properties.workflow_id = this.properties.workflow_id;
+        o.properties.version = this.properties.version;
+      }
+
+      onConfigure(o) {
+        // This method is called when the node is being configured (e.g., when loading a saved graph)
+        // Ensure all necessary data is restored
+        if (o.properties) {
+          this.properties = { ...this.properties, ...o.properties };
+          this.widgets[0].value = this.properties.workflow_name || "";
+          this.widgets[1].value = this.properties.workflow_id || "";
+          this.widgets[2].value = this.properties.version || "1";
+        }
+      }
     }
 
-    // Load default visibility
-
+    // Register the node type
     LiteGraph.registerNodeType(
       "ComfyDeploy",
       Object.assign(ComfyDeploy, {
-        title_mode: LiteGraph.NORMAL_TITLE,
         title: "Comfy Deploy",
+        title_mode: LiteGraph.NORMAL_TITLE,
         collapsable: true,
       }),
     );
@@ -281,6 +313,14 @@ const ext = {
           // This part of the code would depend on how the ComfyUI expects to receive and process the workflow data
           // For demonstration, let's assume there's a loadWorkflow method in the ComfyUI API
           if (comfyUIWorkflow && app && app.loadGraphData) {
+            try {
+              await window["app"].ui.settings.setSettingValueAsync(
+                "Comfy.Validation.Workflows",
+                false,
+              );
+            } catch (error) {
+              console.warning("Error setting validation to false, is fine to ignore this", error);
+            }
             console.log("loadGraphData");
             app.loadGraphData(comfyUIWorkflow);
           }
@@ -368,6 +408,8 @@ const ext = {
           }
 
           animate();
+        } else if (message.type === "workflow_info") {
+          setSelectedWorkflowInfo(message.data);
         }
         // else if (message.type === "refresh") {
         //   sendEventToCD("cd_plugin_onRefresh");
@@ -1482,3 +1524,34 @@ async function loadWorkflowApi(versionId) {
     // Show an error message to the user
   }
 }
+
+const orginal_fetch_api = api.fetchApi;
+api.fetchApi = async (route, options) => {
+  console.log("Fetch API called with args:", route, options);
+
+  const info = getSelectedWorkflowInfo();
+  if (info && route.startsWith("/prompt")) {
+    const body = JSON.parse(options.body);
+
+    const data = {
+      client_id: body.client_id,
+      workflow_api_json: body.prompt,
+      workflow: body?.extra_data?.extra_pnginfo?.workflow,
+      is_native_run: true,
+      machine_id: info.machine_id,
+      workflow_id: info.workflow_id,
+      native_run_api_endpoint: info.native_run_api_endpoint,
+    };
+
+    return await fetch("/comfyui-deploy/run", {
+      method: "POST",
+      headers: {
+        Authorization: `Bearer ${info.cd_token}`,
+        "Content-Type": "application/json",
+      },
+      body: JSON.stringify(data),
+    });
+  }
+
+  return await orginal_fetch_api.call(api, route, options);
+};

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)",
 };