Update app.py

app.py

@@ -127,7 +127,6 @@ def load_and_prepare_model():
         #'John6666/uber-realistic-porn-merge-xl-urpmxl-v6final-sdxl',
         #torch_dtype=torch.bfloat16,
         add_watermarker=False,
-        low_cpu_mem_usage = False,
         token=HF_TOKEN,
        # custom_pipeline="lpw_stable_diffusion_xl",
         #use_safetensors=True,
@@ -181,10 +180,13 @@ def load_and_prepare_model():
     #pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
     #pipe.scheduler=EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
     # pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/Fantasy_World_XL.safetensors", adapter_name="fantasy")
-    pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin")
+    #pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin")
+    pipe.unet.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="unet")
+    pipe.text_encoder.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="text_encoder")
+    
     #pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/epicNewPhoto.safetensors", adapter_name="photo")
     #pipe.set_adapters(["skin", "photo", "fantasy"], adapter_weights=[0.75, 0.25, 0.5])
-    pipe.set_adapters(["skin"], adapter_weights=[0.5])
+    #pipe.set_adapters(["skin"], adapter_weights=[0.5])
 
     pipe.to(device)
     pipe.to(torch.bfloat16)