import os
import random
import sys
from typing import Sequence, Mapping, Any, Union
import torch
def get_value_at_index(obj: Union[Sequence, Mapping], index: int) -> Any:
"""Returns the value at the given index of a sequence or mapping.
If the object is a sequence (like list or string), returns the value at the given index.
If the object is a mapping (like a dictionary), returns the value at the index-th key.
Some return a dictionary, in these cases, we look for the "results" key
Args:
obj (Union[Sequence, Mapping]): The object to retrieve the value from.
index (int): The index of the value to retrieve.
Returns:
Any: The value at the given index.
Raises:
IndexError: If the index is out of bounds for the object and the object is not a mapping.
"""
try:
return obj[index]
except KeyError:
return obj["result"][index]
def find_path(name: str, path: str = None) -> str:
"""
Recursively looks at parent folders starting from the given path until it finds the given name.
Returns the path as a Path object if found, or None otherwise.
"""
# If no path is given, use the current working directory
if path is None:
path = os.getcwd()
# Check if the current directory contains the name
if name in os.listdir(path):
path_name = os.path.join(path, name)
print(f"{name} found: {path_name}")
return path_name
# Get the parent directory
parent_directory = os.path.dirname(path)
# If the parent directory is the same as the current directory, we've reached the root and stop the search
if parent_directory == path:
return None
# Recursively call the function with the parent directory
return find_path(name, parent_directory)
def add_comfyui_directory_to_sys_path() -> None:
"""
Add 'ComfyUI' to the sys.path
"""
comfyui_path = find_path("ComfyUI")
if comfyui_path is not None and os.path.isdir(comfyui_path):
sys.path.append(comfyui_path)
print(f"'{comfyui_path}' added to sys.path")
def add_extra_model_paths() -> None:
"""
Parse the optional extra_model_paths.yaml file and add the parsed paths to the sys.path.
"""
try:
from main import load_extra_path_config
except ImportError:
print(
"Could not import load_extra_path_config from main.py. Looking in utils.extra_config instead."
)
from app_utils.extra_config import load_extra_path_config
extra_model_paths = find_path("extra_model_paths.yaml")
if extra_model_paths is not None:
load_extra_path_config(extra_model_paths)
else:
print("Could not find the extra_model_paths config file.")
add_comfyui_directory_to_sys_path()
add_extra_model_paths()
def import_custom_nodes() -> None:
"""Find all custom nodes in the custom_nodes folder and add those node objects to NODE_CLASS_MAPPINGS
This function sets up a new asyncio event loop, initializes the PromptServer,
creates a PromptQueue, and initializes the custom nodes.
"""
import asyncio
import execution
from nodes import init_extra_nodes
import server
# Creating a new event loop and setting it as the default loop
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
# Creating an instance of PromptServer with the loop
server_instance = server.PromptServer(loop)
execution.PromptQueue(server_instance)
# Initializing custom nodes
init_extra_nodes()
from nodes import NODE_CLASS_MAPPINGS
def main():
import_custom_nodes()
with torch.inference_mode():
loadimage = NODE_CLASS_MAPPINGS["LoadImage"]()
loadimage_1 = loadimage.load_image(image="house.png")
yoloworld_modelloader_zho = NODE_CLASS_MAPPINGS["Yoloworld_ModelLoader_Zho"]()
yoloworld_modelloader_zho_3 = yoloworld_modelloader_zho.load_yolo_world_model(
yolo_world_model="yolo_world/m"
)
esam_modelloader_zho = NODE_CLASS_MAPPINGS["ESAM_ModelLoader_Zho"]()
esam_modelloader_zho_4 = esam_modelloader_zho.load_esam_model(device="CUDA")
inpaint_loadinpaintmodel = NODE_CLASS_MAPPINGS["INPAINT_LoadInpaintModel"]()
inpaint_loadinpaintmodel_13 = inpaint_loadinpaintmodel.load(
model_name="MAT_Places512_G_fp16.safetensors"
)
yoloworld_esam_zho = NODE_CLASS_MAPPINGS["Yoloworld_ESAM_Zho"]()
yoloworld_esam_zho_2 = yoloworld_esam_zho.yoloworld_esam_image(
categories="car",
confidence_threshold=0.10000000000000002,
iou_threshold=0.10000000000000002,
box_thickness=2,
text_thickness=2,
text_scale=1,
with_confidence=True,
with_class_agnostic_nms=False,
with_segmentation=True,
mask_combined=True,
mask_extracted=True,
mask_extracted_index=0,
yolo_world_model=get_value_at_index(yoloworld_modelloader_zho_3, 0),
esam_model=get_value_at_index(esam_modelloader_zho_4, 0),
image=get_value_at_index(loadimage_1, 0),
)
growmask = NODE_CLASS_MAPPINGS["GrowMask"]()
growmask_8 = growmask.expand_mask(
expand=30,
tapered_corners=True,
mask=get_value_at_index(yoloworld_esam_zho_2, 1),
)
inpaint_inpaintwithmodel = NODE_CLASS_MAPPINGS["INPAINT_InpaintWithModel"]()
inpaint_inpaintwithmodel_12 = inpaint_inpaintwithmodel.inpaint(
seed=random.randint(1, 2**64),
inpaint_model=get_value_at_index(inpaint_loadinpaintmodel_13, 0),
image=get_value_at_index(loadimage_1, 0),
mask=get_value_at_index(growmask_8, 0),
)
vaeloader = NODE_CLASS_MAPPINGS["VAELoader"]()
vaeloader_20 = vaeloader.load_vae(
vae_name="vae-ft-mse-840000-ema-pruned.safetensors"
)
vaeencode = NODE_CLASS_MAPPINGS["VAEEncode"]()
vaeencode_18 = vaeencode.encode(
pixels=get_value_at_index(inpaint_inpaintwithmodel_12, 0),
vae=get_value_at_index(vaeloader_20, 0),
)
masktoimage = NODE_CLASS_MAPPINGS["MaskToImage"]()
vaedecode = NODE_CLASS_MAPPINGS["VAEDecode"]()
image_comparer_rgthree = NODE_CLASS_MAPPINGS["Image Comparer (rgthree)"]()
saveimage = NODE_CLASS_MAPPINGS["SaveImage"]()
for q in range(1):
masktoimage_9 = masktoimage.mask_to_image(
mask=get_value_at_index(growmask_8, 0)
)
vaedecode_19 = vaedecode.decode(
samples=get_value_at_index(vaeencode_18, 0),
vae=get_value_at_index(vaeloader_20, 0),
)
image_comparer_rgthree_17 = image_comparer_rgthree.compare_images(
image_a=get_value_at_index(vaedecode_19, 0),
image_b=get_value_at_index(loadimage_1, 0),
)
saveimage_24 = saveimage.save_images(
filename_prefix="ComfyUI",
images=get_value_at_index(inpaint_inpaintwithmodel_12, 0),
)
if __name__ == "__main__":
main()