merge

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/model_list.py

@@ -0,0 +1,60 @@
+import folder_paths
+class AnyType(str):
+    def __ne__(self, __value: object) -> bool:
+        return False
+
+from os import walk
+
+WILDCARD = AnyType("*")
+
+MODEL_EXTENSIONS = {
+    "safetensors": "SafeTensors file format",
+    "ckpt": "Checkpoint file",
+    "pth": "PyTorch serialized file",
+    "pkl": "Pickle file",
+    "onnx": "ONNX file",
+}
+
+def fetch_files(path):
+    for (dirpath, dirnames, filenames) in walk(path):
+        fs = []
+        if len(dirnames) > 0:
+            for dirname in dirnames:
+                fs.extend(fetch_files(f"{dirpath}/{dirname}"))
+        for filename in filenames:
+            # Remove "./models/" from the beginning of dirpath
+            relative_dirpath = dirpath.replace("./models/", "", 1)
+            file_path = f"{relative_dirpath}/{filename}"
+            
+            # Only add files that are known model extensions
+            file_extension = filename.split('.')[-1].lower()
+            if file_extension in MODEL_EXTENSIONS:
+                fs.append(file_path)
+
+        return fs
+allModels = fetch_files("./models")
+
+class ComfyUIDeployModalList:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "model": (allModels, ),
+            }
+        }
+
+    RETURN_TYPES = (WILDCARD,)
+    RETURN_NAMES = ("model",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "model"
+
+    def run(self, model=""):
+        # Split the model path by '/' and select the last item
+        model_name = model.split('/')[-1]
+        return [model_name]
+
+
+NODE_CLASS_MAPPINGS = {"ComfyUIDeployModelList": ComfyUIDeployModalList}
+NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployModelList": "Model List (ComfyUI Deploy)"}

custom_routes.py

@@ -383,6 +383,7 @@ def apply_inputs_to_workflow(workflow_api: Any, inputs: Any, sid: str = None):
 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)
@@ -399,6 +400,7 @@ def send_prompt(sid: str, inputs: StreamingPrompt):
         "prompt": workflow_api,
         "client_id": sid,  # "comfy_deploy_instance", #api.client_id
         "prompt_id": prompt_id,
+        "extra_data": {"extra_pnginfo": {"workflow": workflow}},
     }
 
     try:
@@ -439,6 +441,7 @@ async def comfy_deploy_run(request):
     prompt_id = data.get("prompt_id")
     inputs = data.get("inputs")
     gpu_event_id = data.get("gpu_event_id", None)
+    workflow = data.get("workflow")
 
     # Now it handles directly in here
     apply_random_seed_to_workflow(workflow_api)
@@ -448,6 +451,7 @@ 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(
@@ -503,6 +507,7 @@ 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)
@@ -512,6 +517,7 @@ async def stream_prompt(data, token):
         "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(
@@ -886,6 +892,7 @@ async def websocket_handler(request):
                 file_upload_endpoint=request.rel_url.query.get(
                     "file_upload_endpoint", None
                 ),
+                workflow=workflow["workflow"],
             )
 
             await update_realtime_run_status(

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]