51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
import folder_paths
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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 ComfyUIDeployExternalLora:
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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_lora"},
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),
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},
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"optional": {
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"default_lora_name": (folder_paths.get_filename_list("loras"), ),
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}
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}
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RETURN_TYPES = (folder_paths.get_filename_list("loras"),)
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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(self, input_id, default_lora_name=None):
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import requests
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import os
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import uuid
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if input_id and input_id.startswith('http'):
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unique_filename = str(uuid.uuid4()) + ".safetensors"
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print(unique_filename)
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print(folder_paths.folder_names_and_paths["loras"][0][0])
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destination_path = os.path.join(folder_paths.folder_names_and_paths["loras"][0][0], unique_filename)
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print(destination_path)
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print("Downloading external lora - " + input_id + " to " + destination_path)
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response = requests.get(input_id, headers={'User-Agent': 'Mozilla/5.0'}, allow_redirects=True)
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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 (unique_filename,)
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else:
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return (default_lora_name,)
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NODE_CLASS_MAPPINGS = {"ComfyUIDeployExternalLora": ComfyUIDeployExternalLora}
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NODE_DISPLAY_NAME_MAPPINGS = {"ComfyUIDeployExternalLora": "External Lora (ComfyUI Deploy)"} |