Update app.py

app.py

@@ -10,12 +10,6 @@ import torch
 from PIL import Image
 from diffusers import FluxInpaintPipeline
 
-MARKDOWN = """
-# FLUX.1 Inpainting 🔥
-Shoutout to [Black Forest Labs](https://huggingface.co/black-forest-labs) team for 
-creating this amazing model, and a big thanks to [Gothos](https://github.com/Gothos) 
-for taking it to the next level by enabling inpainting with the FLUX.
-"""
 
 MAX_SEED = np.iinfo(np.int32).max
 IMAGE_SIZE = 1024
@@ -37,33 +31,6 @@ def remove_background(image: Image.Image, threshold: int = 50) -> Image.Image:
     return image
 
 
-EXAMPLES = [
-    [
-        {
-            "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
-            "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-2.png", stream=True).raw))],
-            "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-2.png", stream=True).raw),
-        },
-        "little lion",
-        42,
-        False,
-        0.85,
-        30
-    ],
-    [
-        {
-            "background": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-image.png", stream=True).raw),
-            "layers": [remove_background(Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-mask-3.png", stream=True).raw))],
-            "composite": Image.open(requests.get("https://media.roboflow.com/spaces/doge-2-composite-3.png", stream=True).raw),
-        },
-        "tribal tattoos",
-        42,
-        False,
-        0.85,
-        30
-    ]
-]
-
 pipe = FluxInpaintPipeline.from_pretrained(
     "black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16).to(DEVICE)
 
@@ -134,6 +101,7 @@ def process(
         height=height,
         strength=strength_slider,
         generator=generator,
+        joint_attention_kwargs={"scale": 1.2},
         num_inference_steps=num_inference_steps_slider
     ).images[0]
     print('INFERENCE DONE')
@@ -205,7 +173,6 @@ with gr.Blocks() as demo:
     with gr.Row():
         gr.Examples(
             fn=process,
-            examples=EXAMPLES,
             inputs=[
                 input_image_editor_component,
                 input_text_component,