Update app.py

app.py

@@ -121,7 +121,7 @@ def predict(dict, prompt="", negative_prompt = default_negative_prompt, guidance
 
     
     init_image = dict["image"].convert("RGB")#.resize((1024, 1024))
-    mask = dict["mask"].convert("L")#.resize((1024, 1024))
+    mask = dict["mask"].convert("L") #.resize((1024, 1024))
 
     width, height = get_size(init_image)
 
@@ -169,9 +169,9 @@ def predict(dict, prompt="", negative_prompt = default_negative_prompt, guidance
                   mask_image=mask_tensor,
                   guidance_scale=guidance_scale,
                   num_inference_steps=int(steps),
-                  strength=strength,
+                  # strength=strength,
                   generator=generator,
-                  controlnet_conditioning_sale=1.0, )
+                  controlnet_conditioning_sale=1.0)
 
     # gen_img = pipe(negative_prompt=default_negative_prompt, prompt=prompt, 
     #         controlnet_conditioning_sale=1.0, 
@@ -245,8 +245,8 @@ with image_blocks as demo:
                     
                     with gr.Accordion(label="Advanced Settings", open=False):
                         with gr.Row(equal_height=True):
-                            guidance_scale = gr.Number(value=5, minimum=1.0, maximum=10.0, step=0.5, label="guidance_scale")
-                            steps = gr.Number(value=30, minimum=20, maximum=50, step=1, label="steps")
+                            guidance_scale = gr.Number(value=1.2, minimum=1.0, maximum=2, step=0.1, label="guidance_scale")
+                            steps = gr.Number(value=12, minimum=8, maximum=30, step=1, label="steps")
                             strength = gr.Number(value=1, minimum=0.01, maximum=1.0, step=0.01, label="strength")
                             negative_prompt = gr.Textbox(label="negative_prompt", value=default_negative_prompt, placeholder=default_negative_prompt, info="what you don't want to see in the image")