Opacity 50%

app.py

@@ -152,7 +152,8 @@ def inpaint(
             process_width = process_width - (process_width % 8)
             process_height = process_height - (process_height % 8)
 
-    progress(None, desc = "Processing...")
+    if torch.cuda.is_available():
+        progress(None, desc = "Searching a GPU...")
     output_image = inpaint_on_gpu(
         seed,
         process_width,
@@ -165,7 +166,8 @@ def inpaint(
         guidance_scale,
         image_guidance_scale,
         strength,
-        denoising_steps
+        denoising_steps,
+        progress
     )
 
     if limitation != "":
@@ -200,7 +202,8 @@ def inpaint_on_gpu2(
         guidance_scale,
         image_guidance_scale,
         strength,
-        denoising_steps
+        denoising_steps,
+        progress
 ):
     return input_image
 
@@ -217,8 +220,10 @@ def inpaint_on_gpu(
         guidance_scale,
         image_guidance_scale,
         strength,
-        denoising_steps
+        denoising_steps,
+        progress
 ):
+    progress(None, desc = "Processing...")
     return pipe(
         seeds = [seed],
         width = process_width,
@@ -238,7 +243,7 @@ def inpaint_on_gpu(
 with gr.Blocks() as interface:
     gr.HTML(
         """
-        <h1 style="text-align: center;">Inpaint</h1>
+        <h1 style="text-align: center;">Inpaint / Outpaint</h1>
         <p style="text-align: center;">Modifies one detail of your image, at any resolution, freely, without account, without watermark, without installation, which can be downloaded</p>
         <br/>
         <br/>
@@ -263,7 +268,7 @@ with gr.Blocks() as interface:
         """
     )
     with gr.Column():
-        source_img = gr.ImageMask(label = "Your image (click on the landscape 🌄 to upload your image; click on the pen 🖌️ to draw the mask)", type = "pil", brush=gr.Brush(colors=["white"], color_mode="fixed"))
+        source_img = gr.ImageMask(label = "Your image (click on the landscape 🌄 to upload your image; click on the pen 🖌️ to draw the mask)", type = "pil", brush=gr.Brush(colors=["#FFFFFF80"], color_mode="fixed"))
         prompt = gr.Textbox(label = "Prompt", info = "Describe the subject, the background and the style of image; 77 token limit", placeholder = "Describe what you want to see in the entire image", lines = 2)
         with gr.Accordion("Upload a mask", open = False):
              uploaded_mask = gr.Image(label = "Already made mask (black pixels will be preserved, white pixels will be redrawn)", sources = ["upload"], type = "pil")