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")