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import os
import comfy.sd
from nodes import *
import folder_paths
import random
if __name__ == os.path.splitext(os.path.basename(__file__))[0] :
from ConsoleColor import print, console
from mypath import *
else:
from .ConsoleColor import print, console
from .mypath import *
class LoraLoaderTextRandom:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"model": ("MODEL",),
"clip": ("CLIP", ),
"lora_name": ("STRING", {
"multiline": False, #True if you want the field to look like the one on the ClipTextEncode node
"default": (folder_paths.get_filename_list("loras"), )
}),
"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
#"lora_name": (folder_paths.get_filename_list("loras"), ),
"strength_model_min": ("FLOAT", {"default": 0.50, "min": 0.0, "max": 10.0, "step": 0.01}),
"strength_model_max": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
"strength_clip_min": ("FLOAT", {"default": 0.50, "min": 0.0, "max": 10.0, "step": 0.01}),
"strength_clip_max": ("FLOAT", {"default": 1.50, "min": 0.0, "max": 10.0, "step": 0.01}),
}
}
RETURN_TYPES = ("MODEL", "CLIP")
FUNCTION = "load_lora"
CATEGORY = "loaders"
def load_lora(self,
model,
clip,
lora_name,
seed,
strength_model_min,
strength_model_max,
strength_clip_min,
strength_clip_max
):
strength_model=random.uniform(min(strength_model_min,strength_model_max),max(strength_model_min,strength_model_max))
strength_clip=random.uniform(min(strength_clip_min,strength_clip_max),max(strength_clip_min,strength_clip_max))
print(f"[{ccolor}]lora_name : [/{ccolor}]", lora_name)
if strength_model == 0 and strength_clip == 0:
print("[red]strength_model,strength_clip 0[/red] : ", lora_name)
return (model, clip)
if lora_name is None or lora_name =="" :
print("[red]No lora_name[/red] : ", lora_name)
return (model, clip)
lora_path = folder_paths.get_full_path("loras", lora_name)
if lora_path is None:
#print("[red]No lora_path of lora_name [/red] : ", lora_name)
lora_path=getFullPath(lora_name,"loras")
if lora_path is None:
print("[red]No lora_path of lora_name [/red] : ", lora_name)
return (model, clip)
lora = None
if self.loaded_lora is not None:
if self.loaded_lora[0] == lora_path:
lora = self.loaded_lora[1]
else:
del self.loaded_lora
if lora is None:
lora = comfy.utils.load_torch_file(lora_path, safe_load=True)
self.loaded_lora = (lora_path, lora)
# =========================================
try:
model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora_path, strength_model, strength_clip)
return (model_lora, clip_lora)
except Exception as e:
console.print_exception()
return (model, clip)
#NODE_CLASS_MAPPINGS = {
# "LoraLoaderTextRandom": LoraLoaderTextRandom,
#} |