fix: add workflow data to extra data

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_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)"}

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
@@ -80,11 +80,11 @@ async def async_request_with_retry(method, url, disable_timeout=False, token=Non
             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()
@@ -92,7 +92,7 @@ async def async_request_with_retry(method, url, disable_timeout=False, token=Non
                     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})")
@@ -309,7 +309,7 @@ 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"):
@@ -327,9 +327,13 @@ 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)
@@ -345,7 +349,8 @@ 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:
@@ -384,6 +389,7 @@ async def comfy_deploy_run(request):
     # 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)
@@ -393,6 +399,7 @@ async def comfy_deploy_run(request):
         "prompt": workflow_api,
         "client_id": "comfy_deploy_instance", #api.client_id
         "prompt_id": prompt_id,
+        "extra_data": {"extra_pnginfo": {"workflow": workflow}}
     }
 
     prompt_metadata[prompt_id] = SimplePrompt(
@@ -443,6 +450,7 @@ async def stream_prompt(data, token):
     # 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)
@@ -451,7 +459,8 @@ async def stream_prompt(data, token):
     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(
@@ -785,6 +794,7 @@ 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)
@@ -1199,6 +1209,47 @@ 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
@@ -1234,43 +1285,55 @@ async def upload_file(prompt_id, filename, subfolder=None, content_type="image/p
     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"Image size: {size}")
-        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"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 ok.get("is_public") is not None:
-                item["is_public"] = ok.get("is_public")
+    
+    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:
@@ -1363,7 +1426,7 @@ async def update_file_status(prompt_id: str, data, uploading, have_error=False,
 
 async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, default_content_type: str):
     items = data.get(key, [])
-    # upload_tasks = []
+    upload_tasks = []
 
     for item in items:
         # Skipping temp files
@@ -1379,33 +1442,43 @@ async def handle_upload(prompt_id: str, data, key: str, content_type_key: str, d
         elif file_extension == '.webp':
             file_type = 'image/webp'
 
-        # upload_tasks.append(upload_file(
-        #     prompt_id,
-        #     item.get("filename"),
-        #     subfolder=item.get("subfolder"),
-        #     type=item.get("type"),
-        #     content_type=file_type,
-        #     item=item
-        # ))
-        await upload_file(
+        upload_tasks.append(upload_file(
             prompt_id,
             item.get("filename"),
             subfolder=item.get("subfolder"),
             type=item.get("type"),
             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)
+    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, 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")
+        # 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"
+            ),
+        ]
+
+        await asyncio.gather(*upload_tasks)
 
         status_endpoint = prompt_metadata[prompt_id].status_endpoint
         token = prompt_metadata[prompt_id].token

globals.py

@@ -24,6 +24,7 @@ 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]

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)",
 };