12 steps no lora

app.py

@@ -30,9 +30,9 @@ inpainting_pipeline = StableDiffusionInpaintPipeline.from_pretrained(
     safety_checker=None,
 ).to(preferred_device)
 
-inpainting_pipeline.scheduler = LCMScheduler.from_config(inpainting_pipeline.scheduler.config)
-inpainting_pipeline.load_lora_weights("latent-consistency/lcm-lora-sdv1-5")
-inpainting_pipeline.fuse_lora()
+#inpainting_pipeline.scheduler = LCMScheduler.from_config(inpainting_pipeline.scheduler.config)
+#inpainting_pipeline.load_lora_weights("latent-consistency/lcm-lora-sdv1-5")
+#inpainting_pipeline.fuse_lora()
 
 working_size = (seg_model_img_size, seg_model_img_size)
 
@@ -70,7 +70,7 @@ def app(img, prompt):
         image=Image.fromarray(img),
         mask_image=(mask),
         strength=0.95,
-        num_inference_steps=8,
+        num_inference_steps=12,
     ).images[0]
     #overlay_img.save("overlay_raw.jpg")
     end_time = datetime.now().timestamp()