Update app.py

app.py

@@ -18,6 +18,7 @@ from diffusers import FluxTransformer2DModel, FluxInpaintPipeline
 
 MARKDOWN = """
 # Prompt Canvas🎨
+Modify any image by using a single Prompt and an Image.
 Made using [Flux (Schnell)](https://huggingface.co/black-forest-labs/FLUX.1-schnell), [Grounding-DINO](https://huggingface.co/docs/transformers/main/en/model_doc/grounding-dino) and [SAM](https://huggingface.co/docs/transformers/en/model_doc/sam).
 """
 
@@ -307,14 +308,14 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                 strength_slider = gr.Slider(
                     minimum=0.0,
                     maximum=1.0,
-                    value=0.9,
+                    value=0.96,
                     step=0.01,
                     label="Strength"
                 )
                 num_inference_steps = gr.Slider(
                     minimum=1,
                     maximum=100,
-                    value=32,
+                    value=16,
                     step=1,
                     label="Number of inference steps"
                 )
@@ -341,7 +342,7 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                 )
                 expansion_level = gr.Slider(
                     minimum=0,
-                    maximum=20,
+                    maximum=10,
                     value=2,
                     step=1,
                     label="Mask Expansion level"
@@ -350,11 +351,10 @@ with gr.Blocks(theme=gr.themes.Ocean()) as demo:
                     minimum=0,
                     maximum=5,
                     step=1,
-                    value=1,
+                    value=0,
                     label="Mask Blur level"
                 )            
-            # with gr.Accordion("Upload a mask", open=False):
-            #     uploaded_mask_component = gr.Image(label="Already made mask (black pixels will be preserved, white pixels will be redrawn)", sources=["upload"], type="pil")
+            
             submit_button_component = gr.Button(value='Inpaint', variant='primary')
         with gr.Column(scale=1):
             output_image_component = gr.Image(type='pil', image_mode='RGB', label='Generated Image')