57 lines
2.1 KiB
Python
57 lines
2.1 KiB
Python
import comfy.sd
|
|
import comfy.utils
|
|
import comfy.clip_vision
|
|
import comfy.model_detection
|
|
import comfy.model_management
|
|
import comfy.model_patcher
|
|
import comfy.checkpoint_pickle
|
|
|
|
from .utils import download_file, load_torch_bin
|
|
|
|
class LoadTempLoRA:
|
|
def __init__(self):
|
|
self.loaded_lora = None
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"model": ("MODEL",),
|
|
"clip": ("CLIP", ),
|
|
"ckpt_url": ("STRING", {"default": ""}),
|
|
"ckpt_type": (["auto", "safetensors", "other"], {"default": "auto"}),
|
|
"download_split": ("INT", {"default": 4, "min": 1, "max": 8, "step": 1}),
|
|
"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}),
|
|
},
|
|
}
|
|
RETURN_TYPES = ("MODEL", "CLIP")
|
|
FUNCTION = "load_lora"
|
|
|
|
CATEGORY = "temporary_loaders"
|
|
|
|
def load_lora(self, model, clip, ckpt_url, ckpt_type, download_split, strength_model, strength_clip):
|
|
if strength_model == 0 and strength_clip == 0:
|
|
return (model, clip)
|
|
|
|
lora = None
|
|
if self.loaded_lora is not None:
|
|
if self.loaded_lora[0] == ckpt_url:
|
|
lora = self.loaded_lora[1]
|
|
else:
|
|
temp = self.loaded_lora
|
|
self.loaded_lora = None
|
|
del temp
|
|
|
|
if lora is None:
|
|
bin, file_name = download_file(ckpt_url, download_split)
|
|
if bin is None:
|
|
raise file_name if file_name is not None else Exception("Download failed.")
|
|
|
|
is_safetensors = file_name.endswith(".safetensors") if ckpt_type =="auto" else ckpt_type == "safetensors"
|
|
lora = load_torch_bin(bin, is_safetensors, safe_load=True)
|
|
self.loaded_lora = (ckpt_url, lora)
|
|
|
|
model_lora, clip_lora = comfy.sd.load_lora_for_models(model, clip, lora, strength_model, strength_clip)
|
|
return (model_lora, clip_lora)
|