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54rt1n-ComfyUI-DareMerge/components/lora.py
T
2024-01-26 19:03:26 -06:00

54 lines
1.9 KiB
Python

# components/lora.py
import folder_paths
from comfy.sd import load_lora_for_models
from comfy.sd import CLIP
from comfy.model_patcher import ModelPatcher
from ..ddare.lora import DoctorLora
from ..ddare.const import LORA_CATEGORY
class LoraLoaderTags:
def __init__(self):
self.loaded_lora = None
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),
"clip": ("CLIP", ),
"lora_name": (folder_paths.get_filename_list("loras"), ),
"strength_model": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
"strength_clip": ("FLOAT", {"default": 1.0, "min": -20.0, "max": 20.0, "step": 0.01}),
"tag_limit": ("INT", {"default": 10, "min": 1, "max": 100}),
}}
RETURN_TYPES = ("MODEL", "CLIP", "STRING")
FUNCTION = "load_lora"
CATEGORY = LORA_CATEGORY
def load_lora(self, model : ModelPatcher, clip : CLIP, lora_name : str, strength_model : float, strength_clip : float, tag_limit : int = 10, **kwargs):
tags = ""
if strength_model == 0 and strength_clip == 0:
return (model, clip, tags)
lora_path = folder_paths.get_full_path("loras", lora_name)
lora = None
if self.loaded_lora is not None:
if self.loaded_lora[0] == lora_path:
lora = self.loaded_lora[1]
else:
temp = self.loaded_lora
self.loaded_lora = None
del temp
if lora is None:
drlora = DoctorLora.load(lora_path)
tags = drlora.tags
if tags is not None:
tags = ", ".join(tags[:tag_limit])
lora = drlora.lora
model_lora, clip_lora = load_lora_for_models(model, clip, lora, strength_model, strength_clip)
return (model_lora, clip_lora, tags)