Adapt information

app.py

@@ -11,9 +11,14 @@ from PIL import Image, ImageFilter
 
 max_64_bit_int = 2**63 - 1
 
-device = "cuda" if torch.cuda.is_available() else "cpu"
-floatType = torch.float16 if torch.cuda.is_available() else torch.float32
-variant = "fp16" if torch.cuda.is_available() else None
+if torch.cuda.is_available():
+    device = "cuda"
+    floatType = torch.float16
+    variant = "fp16"
+else:
+    device = "cpu"
+    floatType = torch.float32
+    variant = None
 
 pipe = StableDiffusionXLInpaintPipeline.from_pretrained("diffusers/stable-diffusion-xl-1.0-inpainting-0.1", torch_dtype = floatType, variant = variant)
 pipe = pipe.to(device)
@@ -24,9 +29,7 @@ def update_seed(is_randomize_seed, seed):
     return seed
 
 def toggle_debug(is_debug_mode):
-    if is_debug_mode:
-        return [gr.update(visible = True)] * 3
-    return [gr.update(visible = False)] * 3
+    return [gr.update(visible = is_debug_mode)] * 3
 
 def noise_color(color, noise):
     return color + random.randint(- noise, noise)
@@ -45,6 +48,7 @@ def check(
     image_guidance_scale,
     strength,
     denoising_steps,
+    is_randomize_seed,
     seed,
     debug_mode,
     progress = gr.Progress()):
@@ -88,6 +92,7 @@ def uncrop(
     image_guidance_scale,
     strength,
     denoising_steps,
+    is_randomize_seed,
     seed,
     debug_mode,
     progress = gr.Progress()):
@@ -105,6 +110,7 @@ def uncrop(
         image_guidance_scale,
         strength,
         denoising_steps,
+        is_randomize_seed,
         seed,
         debug_mode
     )
@@ -259,7 +265,7 @@ def uncrop(
     minutes = minutes - (hours * 60)
     return [
         output_image,
-        "Start again to get a different result. The new image is " + str(output_width) + " pixels large and " + str(output_height) + " pixels high, so an image of " + f'{output_width * output_height:,}' + " pixels. The image have been generated in " + str(hours) + " h, " + str(minutes) + " min, " + str(secondes) + " sec." + limitation,
+        ("Start again to get a different result. " if is_randomize_seed else "") + "The new image is " + str(output_width) + " pixels large and " + str(output_height) + " pixels high, so an image of " + f'{output_width * output_height:,}' + " pixels. The image have been generated in " + str(hours) + " h, " + str(minutes) + " min, " + str(secondes) + " sec." + limitation,
         input_image,
         enlarged_image,
         mask_image
@@ -272,7 +278,7 @@ with gr.Blocks() as interface:
         <p style="text-align: center;">Enlarges the point of view of your image, freely, without account, without watermark, without installation, which can be downloaded</p>
         <br/>
         <br/>
-        🚀 Powered by <i>SDXL 1.0</i> artificial intellingence. For illustration purpose, not information purpose. The new content is not based on real information but imagination.
+        ✨ Powered by <i>SDXL 1.0</i> artificial intellingence. For illustration purpose, not information purpose. The new content is not based on real information but imagination.
         <br/>
         <ul>
         <li>To change the <b>view angle</b> of your image, I recommend to use <i>Zero123</i>,</li>
@@ -284,7 +290,7 @@ with gr.Blocks() as interface:
         <li>To modify <b>anything else</b> on your image, I recommend to use <i>Instruct Pix2Pix</i>.</li>
         </ul>
         <br/>
-        🐌 Slow process... ~1 hour. Your computer must not enter into standby mode.<br/>You can duplicate this space on a free account, it works on CPU and should also run on CUDA.<br/>
+        🐌 Slow process... ~1 hour. Your computer must <u>not</u> enter into standby mode.<br/>You can duplicate this space on a free account, it works on CPU and should also run on CUDA.<br/>
         <a href='https://huggingface.co/spaces/Fabrice-TIERCELIN/Uncrop?duplicate=true'><img src='https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14'></a>
         <br/>
         ⚖️ You can use, modify and share the generated images but not for commercial uses.
@@ -313,10 +319,10 @@ with gr.Blocks() as interface:
         with gr.Column():
             dummy_4 = gr.Label(visible = False)
     with gr.Row():
-        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')
+        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.Row():
         with gr.Accordion("Advanced options", open = False):
-            negative_prompt = gr.Textbox(label = 'Negative prompt', placeholder = 'Describe what you do NOT want to see in the entire image', value = 'Border, frame, painting, scribbling, smear, noise, blur, watermark')
+            negative_prompt = gr.Textbox(label = "Negative prompt", placeholder = "Describe what you do NOT want to see in the entire image", value = 'Border, frame, painting, scribbling, smear, noise, blur, watermark')
             smooth_border = gr.Slider(minimum = 0, maximum = 1024, value = 0, step = 2, label = "Smooth border", info = "lower=preserve original, higher=seamless")
             num_inference_steps = gr.Slider(minimum = 10, maximum = 100, value = 50, step = 1, label = "Number of inference steps", info = "lower=faster, higher=image quality")
             guidance_scale = gr.Slider(minimum = 1, maximum = 13, value = 7, step = 0.1, label = "Classifier-Free Guidance Scale", info = "lower=image quality, higher=follow the prompt")
@@ -328,7 +334,7 @@ with gr.Blocks() as interface:
             debug_mode = gr.Checkbox(label = "Debug mode", value = False, info = "Show intermediate results")
 
     with gr.Row():
-        submit = gr.Button("Uncrop", variant = "primary")
+        submit = gr.Button("🚀 Uncrop", variant = "primary")
 
     with gr.Row():
         uncropped_image = gr.Image(label = "Uncropped image")
@@ -364,6 +370,7 @@ with gr.Blocks() as interface:
         image_guidance_scale,
         strength,
         denoising_steps,
+        randomize_seed,
         seed,
         debug_mode
     ], outputs = [], queue = False,
@@ -381,6 +388,7 @@ with gr.Blocks() as interface:
         image_guidance_scale,
         strength,
         denoising_steps,
+        randomize_seed,
         seed,
         debug_mode
     ], outputs = [
@@ -407,6 +415,7 @@ with gr.Blocks() as interface:
             image_guidance_scale,
             strength,
             denoising_steps,
+            randomize_seed,
             seed,
             debug_mode
         ],
@@ -425,13 +434,14 @@ with gr.Blocks() as interface:
                     1024,
                     1024,
                     "A woman, black hair, nowadays, in the street, ultrarealistic, realistic, photorealistic, 8k",
-                    "Border, frame, painting, drawing, cartoon, 3d, scribbling, smear, noise, blur, watermark",
+                    "Border, frame, painting, drawing, cartoon, anime, 3d, scribbling, smear, noise, blur, watermark",
                     0,
                     50,
                     7,
                     1.5,
                     0.99,
                     1000,
+                    False,
                     42,
                     False
                 ],
@@ -442,13 +452,14 @@ with gr.Blocks() as interface:
                     1024,
                     1024,
                     "A man, jumping in the air, outside, ultrarealistic, realistic, photorealistic, 8k",
-                    "Border, frame, painting, drawing, cartoon, 3d, scribbling, smear, noise, blur, watermark",
+                    "Border, frame, painting, drawing, cartoon, anime, 3d, scribbling, smear, noise, blur, watermark",
                     0,
                     50,
                     7,
                     1.5,
                     0.99,
                     1000,
+                    False,
                     42,
                     False
                 ],
@@ -459,13 +470,14 @@ with gr.Blocks() as interface:
                     0,
                     512,
                     "An old yellow car, in a town, ultrarealistic, realistic, photorealistic, 8k",
-                    "Border, frame, painting, drawing, cartoon, 3d, scribbling, smear, noise, blur, watermark",
+                    "Border, frame, painting, drawing, cartoon, anime, 3d, scribbling, smear, noise, blur, watermark",
                     0,
                     50,
                     7,
                     1.5,
                     0.99,
                     1000,
+                    False,
                     42,
                     False
                 ],