remove lora

inversion_run_base.py

@@ -56,12 +56,6 @@ pipeline.scheduler = DDPMScheduler.from_pretrained(
     subfolder="scheduler",
 )
 
-os.makedirs('checkpoints/lora', exist_ok=True)
-if not os.path.exists('checkpoints/lora/perfection_style.safetensors'):
-    os.system("wget https://civitai.com/api/download/models/458257?token=27eadde29f9f31d1b09af7e9b6d97577 -O ./checkpoints/lora/perfection_style.safetensors")
-
-pipeline.load_lora_weights("checkpoints/lora", weight_name="perfection_style.safetensors", adapter_name="perfection_style")
-
 config = get_config(args)
 
 compel_proc = Compel(
@@ -84,7 +78,6 @@ def run(
     guidance_scale:float,
     adapter_weights:float,
 ):
-    pipeline.set_adapters(["perfection_style"], adapter_weights=[adapter_weights])
     generator = torch.Generator().manual_seed(seed)
 
     config.num_steps_inversion = num_steps

requirements.txt

@@ -12,5 +12,4 @@ compel
 gfpgan
 git+https://github.com/XPixelGroup/BasicSR@master
 facexlib
-realesrgan
-peft
+realesrgan