i

modules/default_pipeline.py

@@ -11,9 +11,9 @@ xl_base_offset_lora_filename = os.path.join(lorafile_path, 'sd_xl_offset_example
 
 xl_base = core.load_model(xl_base_filename)
 xl_base = core.load_lora(xl_base, xl_base_offset_lora_filename, strength_model=1.0, strength_clip=0.0)
+del xl_base.vae
 
 xl_refiner = core.load_model(xl_refiner_filename)
-del xl_base.vae
 
 
 @torch.no_grad()