109 lines
3.4 KiB
Python
109 lines
3.4 KiB
Python
from PIL import Image, ImageOps
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import numpy as np
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import torch
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import folder_paths
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class AnyType(str):
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def __ne__(self, __value: object) -> bool:
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return False
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WILDCARD = AnyType("*")
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class ComfyUIDeployExternalFaceModel:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"input_id": (
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"STRING",
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{"multiline": False, "default": "input_reactor_face_model"},
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),
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},
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"optional": {
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"default_face_model_name": (
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"STRING",
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{"multiline": False, "default": ""},
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),
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"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
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"STRING",
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{"multiline": False, "default": ""},
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),
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"display_name": (
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"STRING",
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{"multiline": False, "default": ""},
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),
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"description": (
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"STRING",
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{"multiline": True, "default": ""},
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),
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"face_model_url": (
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"STRING",
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{"multiline": False, "default": ""},
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),
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},
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}
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RETURN_TYPES = (WILDCARD,)
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RETURN_NAMES = ("path",)
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FUNCTION = "run"
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CATEGORY = "deploy"
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def run(
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self,
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input_id,
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default_face_model_name=None,
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face_model_save_name=None,
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display_name=None,
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description=None,
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face_model_url=None,
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):
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import requests
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import os
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import uuid
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if face_model_url and face_model_url.startswith("http"):
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if face_model_save_name:
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existing_face_models = folder_paths.get_filename_list("reactor/faces")
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# Check if face_model_save_name exists in the list
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if face_model_save_name in existing_face_models:
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print(f"using face model: {face_model_save_name}")
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return (face_model_save_name,)
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else:
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face_model_save_name = str(uuid.uuid4()) + ".safetensors"
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print(face_model_save_name)
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print(folder_paths.folder_names_and_paths["reactor/faces"][0][0])
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destination_path = os.path.join(
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folder_paths.folder_names_and_paths["reactor/faces"][0][0],
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face_model_save_name,
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)
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print(destination_path)
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print(
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"Downloading external face model - "
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+ face_model_url
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+ " to "
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+ destination_path
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)
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response = requests.get(
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face_model_url,
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headers={"User-Agent": "Mozilla/5.0"},
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allow_redirects=True,
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)
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with open(destination_path, "wb") as out_file:
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out_file.write(response.content)
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return (face_model_save_name,)
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else:
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print(f"using face model: {default_face_model_name}")
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return (default_face_model_name,)
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NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalFaceModel": ComfyUIDeployExternalFaceModel}
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NODE_DISPLAY_NAME_MAPPINGS = {
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"ComfyUIDeployExternalFaceModel": "External Face Model (ComfyUI Deploy)"
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}
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