Upload app.py

app.py

@@ -37,89 +37,42 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1216
 
 css = """
-#container {
-    margin: 0 auto;
-}
-#col-container {
-    margin: 0 auto;
-}
-#result { max-width: 520px; max-height: 520px; width: 520px; height: 520px; }
+#container {  margin: 0 auto; }
+#col-container { margin: 0 auto; }
+#result { max-width: 520px; max-height: 520px; width: 520px; height: 520px; align: center; }
 #model-info { text-align: center; }
 """
 
 with gr.Blocks(css=css, fill_width=True, elem_id="container") as demo:
     with gr.Tab("Image Generator"):
         with gr.Column(elem_id="col-container"):
-
-            prompt = gr.Text(
-                label="Prompt",
-                show_label=False,
-                lines=1,
-                max_lines=8,
-                placeholder="Enter your prompt",
-                container=False,
-            )
+            with gr.Row():
+                prompt = gr.Text(label="Prompt", show_label=False, lines=1, max_lines=8, placeholder="Enter your prompt", container=False)
             
             with gr.Row():
                 run_button = gr.Button("Run")
                 run_translate_button = gr.Button("Translate")
 
-            result = gr.Image(label="Result", elem_id="result", show_label=False, interactive=False, show_download_button=True, show_share_button=False, container=True)
-            
+            with gr.Row():
+                result = gr.Image(label="Result", elem_id="result", show_label=False, interactive=False,
+                                  show_download_button=True, show_share_button=False, container=True)
+                
             with gr.Accordion("Advanced Settings", open=False):
-
-                negative_prompt = gr.Text(
-                    label="Negative prompt",
-                    lines=1,
-                    max_lines=6,
-                    placeholder="Enter a negative prompt",
-                    value="(low quality, worst quality:1.2), very displeasing, watermark, signature, ugly"
-                )
-
                 with gr.Row():
-                    seed = gr.Slider(
-                        label="Seed",
-                        minimum=0,
-                        maximum=MAX_SEED,
-                        step=1,
-                        value=0,
-                    )
+                    negative_prompt = gr.Text(label="Negative prompt", lines=1, max_lines=6, placeholder="Enter a negative prompt",
+                        value="(low quality, worst quality:1.2), very displeasing, watermark, signature, ugly")
 
+                with gr.Row():
+                    seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
                     randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
 
                 with gr.Row():
-                    width = gr.Slider(
-                        label="Width",
-                        minimum=256,
-                        maximum=MAX_IMAGE_SIZE,
-                        step=32,
-                        value=1024,#832,
-                    )
-
-                    height = gr.Slider(
-                        label="Height",
-                        minimum=256,
-                        maximum=MAX_IMAGE_SIZE,
-                        step=32,
-                        value=1024,#1216,
-                    )
+                    width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024) # 832
+                    height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024) # 1216
 
                 with gr.Row():
-                    guidance_scale = gr.Slider(
-                        label="Guidance scale",
-                        minimum=0.0,
-                        maximum=30.0,
-                        step=0.1,
-                        value=7,
-                    )
-
-                    num_inference_steps = gr.Slider(
-                        label="Number of inference steps",
-                        minimum=1,
-                        maximum=100,
-                        step=1,
-                        value=28,
-                    )
+                    guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=30.0, step=0.1, value=7)
+                    num_inference_steps = gr.Slider(label="Number of inference steps", minimum=1, maximum=100, step=1, value=28)
 
                 with gr.Row():
                     with gr.Group():