Update app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import StableDiffusionPipeline
 
 def process_image(prompt, num_inference_steps, guidance_scale):
     model_path = "Akbartus/Lora360"
-    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5")
+    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", use_safetensors=True)
     pipe.unet.load_attn_procs(model_path)
     pipe.to("cpu")
     image = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=guidance_scale).images[0]