external lora
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@ -4,12 +4,15 @@ 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 ComfyUIDeployExternalLora:
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@classmethod
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def INPUT_TYPES(s):
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@ -22,6 +25,10 @@ class ComfyUIDeployExternalLora:
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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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"lora_save_name": ( # if `default_lora_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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},
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}
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@ -32,17 +39,23 @@ class ComfyUIDeployExternalLora:
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CATEGORY = "deploy"
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def run(self, input_id, default_lora_name=None):
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def run(self, input_id, default_lora_name=None, lora_save_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 default_lora_name.startswith("http"):
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unique_filename = str(uuid.uuid4()) + ".safetensors"
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print(unique_filename)
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if lora_save_name:
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existing_loras = folder_paths.get_filename_list("loras")
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# Check if lora_save_name exists in the list
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if lora_save_name in existing_loras:
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raise "LoRA file '{lora_save_name}' already exists."
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else:
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lora_save_name = str(uuid.uuid4()) + ".safetensors"
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print(lora_save_name)
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print(folder_paths.folder_names_and_paths["loras"][0][0])
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destination_path = os.path.join(
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folder_paths.folder_names_and_paths["loras"][0][0], unique_filename
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folder_paths.folder_names_and_paths["loras"][0][0], lora_save_name
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)
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print(destination_path)
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print("Downloading external lora - " + input_id + " to " + destination_path)
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@ -53,7 +66,7 @@ class ComfyUIDeployExternalLora:
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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 (unique_filename,)
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return (lora_save_name,)
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else:
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print(f"using lora: {default_lora_name}")
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return (default_lora_name,)
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