Update seed

app.py

@@ -27,7 +27,6 @@ def check(
     image_guidance_scale,
     strength,
     denoising_steps,
-    randomize_seed,
     seed,
     debug_mode,
     progress = gr.Progress()
@@ -48,7 +47,6 @@ def inpaint(
     image_guidance_scale,
     strength,
     denoising_steps,
-    randomize_seed,
     seed,
     debug_mode,
     progress = gr.Progress()
@@ -63,7 +61,6 @@ def inpaint(
         image_guidance_scale,
         strength,
         denoising_steps,
-        randomize_seed,
         seed,
         debug_mode
     )
@@ -88,7 +85,7 @@ def inpaint(
     if denoising_steps is None:
         denoising_steps = 1000
 
-    if randomize_seed:
+    if seed is None:
         seed = random.randint(0, max_64_bit_int)
 
     random.seed(seed)
@@ -171,11 +168,15 @@ def inpaint(
         mask_image
     ]
 
+def update_seed(is_randomize_seed, seed):
+    if is_randomize_seed:
+        return random.randint(0, max_64_bit_int)
+    return seed
+
 def toggle_debug(is_debug_mode):
     if is_debug_mode:
         return [gr.update(visible = True)] * 2
-    else:
-        return [gr.update(visible = False)] * 2
+    return [gr.update(visible = False)] * 2
 
 with gr.Blocks() as interface:
     gr.Markdown(
@@ -213,10 +214,10 @@ with gr.Blocks() as interface:
              num_inference_steps = gr.Slider(minimum = 10, maximum = 100, value = 25, 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")
              image_guidance_scale = gr.Slider(minimum = 1, value = 1.1, step = 0.1, label = "Image Guidance Scale", info = "lower=image quality, higher=follow the image")
-             strength = gr.Number(value = 0.99, minimum = 0.01, maximum = 1.0, step = 0.01, label = "Strength", info = "lower=follow the original area, higher=redraw from scratch")
-             denoising_steps = gr.Slider(minimum = 0, maximum = 1000, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
-             randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed (not working, always checked)", value = True, info = "If checked, result is always different")
-             seed = gr.Slider(minimum = 0, maximum = max_64_bit_int, step = 1, randomize = True, label = "Seed (if not randomized)")
+             strength = gr.Slider(value = 0.99, minimum = 0.01, maximum = 1.0, step = 0.01, label = "Strength", info = "lower=follow the original area, higher=redraw from scratch")
+             denoising_steps = gr.Number(minimum = 0, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
+             randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed", value = True, info = "If checked, result is always different")
+             seed = gr.Slider(minimum = 0, maximum = max_64_bit_int, step = 1, randomize = True, label = "Seed")
              debug_mode = gr.Checkbox(label = "Debug mode", value = False, info = "Show intermediate results")
 
         submit = gr.Button("Inpaint", variant = "primary")
@@ -226,7 +227,11 @@ with gr.Blocks() as interface:
         original_image = gr.Image(label = "Original image", visible = False)
         mask_image = gr.Image(label = "Mask image", visible = False)
 
-    submit.click(toggle_debug, debug_mode, [
+    submit.click(update_seed, inputs = [
+        randomize_seed, seed
+    ], outputs = [
+        seed
+    ], queue = False, show_progress = False).then(toggle_debug, debug_mode, [
         original_image,
         mask_image
     ], queue = False, show_progress = False).then(check, inputs = [
@@ -239,7 +244,6 @@ with gr.Blocks() as interface:
         image_guidance_scale,
         strength,
         denoising_steps,
-        randomize_seed,
         seed,
         debug_mode
     ], outputs = [], queue = False, show_progress = False).success(inpaint, inputs = [
@@ -252,7 +256,6 @@ with gr.Blocks() as interface:
         image_guidance_scale,
         strength,
         denoising_steps,
-        randomize_seed,
         seed,
         debug_mode
     ], outputs = [
@@ -288,7 +291,7 @@ with gr.Blocks() as interface:
                     "./Examples/Example1.png",
                     "A deer, in a forest landscape, ultrarealistic, realistic, photorealistic, 8k",
                     "./Examples/Mask1.webp",
-                    "Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
+                    "Ugly, malformed, painting, drawing, cartoon, 3d, noise, blur, watermark",
                     25,
                     7,
                     1.1,
@@ -302,7 +305,7 @@ with gr.Blocks() as interface:
                     "./Examples/Example3.jpg",
                     "An angry old woman, ultrarealistic, realistic, photorealistic, 8k",
                     "./Examples/Mask3.gif",
-                    "Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
+                    "Ugly, malformed, painting, drawing, cartoon, 3d, noise, blur, watermark",
                     25,
                     7,
                     1.5,
@@ -316,7 +319,7 @@ with gr.Blocks() as interface:
                     "./Examples/Example4.gif",
                     "A laptop, ultrarealistic, realistic, photorealistic, 8k",
                     "./Examples/Mask4.bmp",
-                    "Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
+                    "Ugly, malformed, painting, drawing, cartoon, 3d, noise, blur, watermark",
                     25,
                     7,
                     1.1,
@@ -330,7 +333,7 @@ with gr.Blocks() as interface:
                     "./Examples/Example5.bmp",
                     "A sand castle, ultrarealistic, realistic, photorealistic, 8k",
                     "./Examples/Mask5.png",
-                    "Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
+                    "Ugly, malformed, painting, drawing, cartoon, 3d, noise, blur, watermark",
                     50,
                     7,
                     1.5,
@@ -344,7 +347,7 @@ with gr.Blocks() as interface:
                     "./Examples/Example2.webp",
                     "A cat, ultrarealistic, realistic, photorealistic, 8k",
                     "./Examples/Mask2.png",
-                    "Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
+                    "Ugly, malformed, painting, drawing, cartoon, 3d, noise, blur, watermark",
                     25,
                     7,
                     1.1,
@@ -360,7 +363,7 @@ with gr.Blocks() as interface:
     
     gr.Markdown(
         """
-        ### How to prompt your image
+        ## How to prompt your image
 
         To easily read your prompt, start with the subject, then describ the pose or action, then secondary elements, then the background, then the graphical style, then the image quality:
         ```