Update app.py

app.py

@@ -12,34 +12,27 @@ os.system("pip install gradio==4.29.0")
 
 login(token=os.getenv("HF_TOKEN"))
 
-# vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-# pipeline = StableDiffusion3InpaintPipeline(vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True).to("cuda")
-
 pipeline = StableDiffusion3InpaintPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16)
 
 def get_select_index(evt: gr.SelectData):
     return evt.index
-    
+
 @spaces.GPU()
 def squarify_image(img):
-    if(img.height > img.width): bg_size = img.height
-    else:  bg_size = img.width
-    bg = Image.new(mode="RGB", size=(bg_size,bg_size), color="white")
-    bg.paste(img, ( int((bg.width - bg.width)/2), 0) )
-
+    if img.height > img.width:
+        bg_size = img.height
+    else:
+        bg_size = img.width
+    bg = Image.new(mode="RGB", size=(bg_size, bg_size), color="white")
+    bg.paste(img, (int((bg.width - bg.width) / 2), 0))
     return bg
 
 @spaces.GPU()
 def divisible_by_8(image):
     width, height = image.size
-    
-    # Calculate the new width and height that are divisible by 8
     new_width = (width // 8) * 8
     new_height = (height // 8) * 8
-    
-    # Resize the image
     resized_image = image.resize((new_width, new_height))
-    
     return resized_image
 
 @spaces.GPU()
@@ -55,53 +48,29 @@ def clear_all():
 def generate(image_editor, prompt, neg_prompt, versions):
     start = time.time()
     image = image_editor['background'].convert('RGB')
-
-    # Resize image
     image.thumbnail((1024, 1024))
     image = divisible_by_8(image)
     original_image_size = image.size
-
-    # Mask layer
     layer = image_editor["layers"][0].resize(image.size)
-
-    # Make image a square
     image = squarify_image(image)
-
-    # Make sure mask is white with a black background
-    mask = Image.new("RGBA", image.size, "WHITE") 
+    mask = Image.new("RGBA", image.size, "WHITE")
     mask.paste(layer, (0, 0), layer)
     mask = ImageOps.invert(mask.convert('L'))
-
-    # Inpaint
     pipeline.to("cuda")
-    final_image = pipeline(prompt=prompt, 
-                           image=image, 
-                           mask_image=mask).images[0]
-
-
-    # Make sure the longest side of image is 1024
-    if (original_image_size[0] > original_image_size[1]):
-        original_image_size = ( original_image_size[0] * (1024/original_image_size[0]) , original_image_size[1] * (1024/original_image_size[0]))
+    final_image = pipeline(prompt=prompt, image=image, mask_image=mask).images[0]
+    if original_image_size[0] > original_image_size[1]:
+        original_image_size = (original_image_size[0] * (1024/original_image_size[0]), original_image_size[1] * (1024/original_image_size[0]))
     else:
         original_image_size = (original_image_size[0] * (1024/original_image_size[1]), original_image_size[1] * (1024/original_image_size[1]))
-
-    
-    # Crop image to original aspect ratio
     final_image = final_image.crop((0, 0, original_image_size[0], original_image_size[1]))
-
-    # gradio.ImageEditor requires a diction
     final_dict = {'background': final_image, 'layers': None, 'composite': final_image}
-
-    # Add generated image to version gallery
-    if(versions==None): 
-        final_gallery = [image_editor['background'] ,final_image]
-    else: 
+    if versions is None:
+        final_gallery = [image_editor['background'], final_image]
+    else:
         final_gallery = versions
         final_gallery.append(final_image)
-
     end = time.time()
     print('time:', end - start)
-    
     return final_dict, gr.Gallery(value=final_gallery, visible=True), gr.update(visible=True), gr.update(visible=True)
 
 with gr.Blocks() as demo:
@@ -109,7 +78,7 @@ with gr.Blocks() as demo:
     # Inpainting SDXL Sketch Pad
     by [Tony Assi](https://www.tonyassi.com/)
 
-    Please ❤️ this Space. I build custom AI apps for companies. <a href="mailto: tony.assi.media@gmail.com">Email me</a> for business inquiries.
+    Please ❤️ this Space. I build custom AI apps for companies. <a href="mailto:tony.assi.media@gmail.com">Email me</a> for business inquiries.
     """)
     
     with gr.Row():
@@ -126,7 +95,7 @@ with gr.Blocks() as demo:
             selected = gr.Number(show_label=False, visible=False)
             
     gr.Examples(
-        [[{'background':'./tony.jpg', 'layers':['./tony-mask.jpg'], 'composite':'./tony.jpg'}, 'black and white tuxedo, bowtie', 'ugly',  None]],
+        [[{'background':'./tony.jpg', 'layers':['./tony-mask.jpg'], 'composite':'./tony.jpg'}, 'black and white tuxedo, bowtie', 'ugly', None]],
         [sketch_pad, prompt, neg_prompt, version_gallery],
         [sketch_pad, version_gallery, restore_button, clear_button],
         generate,
@@ -134,8 +103,8 @@ with gr.Blocks() as demo:
     )
 
     version_gallery.select(get_select_index, None, selected)
-    generate_button.click(fn=generate, inputs=[sketch_pad,prompt, neg_prompt, version_gallery], outputs=[sketch_pad, version_gallery, restore_button, clear_button])
+    generate_button.click(fn=generate, inputs=[sketch_pad, prompt, neg_prompt, version_gallery], outputs=[sketch_pad, version_gallery, restore_button, clear_button])
     restore_button.click(fn=restore_version, inputs=[selected, version_gallery], outputs=sketch_pad)
     clear_button.click(clear_all, inputs=None, outputs=[sketch_pad, prompt, version_gallery, restore_button, clear_button])
 
-demo.launch()
+demo.launch()