Upload app.py

app.py

@@ -38,7 +38,7 @@ MAX_IMAGE_SIZE = 1216
 
 css = """
 #container {  margin: 0 auto; !important; }
-#col-container { margin: 0 auto; !important; }
+#col-container { margin: 0 auto;  align: center; !important; }
 #result { display: block; max-width: 520px; max-height: 520px; width: 520px; height: 520px; align: center; !important; }
 #model-info { text-align: center; !important; }
 """
@@ -65,12 +65,8 @@ with gr.Blocks(css=css, fill_width=True, elem_id="container") as demo:
                 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
-
-                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)
 
@@ -120,16 +116,16 @@ with gr.Blocks(css=css, fill_width=True, elem_id="container") as demo:
                                 lora5_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
                                 lora5_copy = gr.Button(value="Copy example to prompt", visible=False)
                             lora5_md = gr.Markdown(value="", visible=False)
-                        with gr.Accordion("From URL", open=True, visible=True):
-                            with gr.Row():
-                                lora_search_civitai_query = gr.Textbox(label="Query", placeholder="oomuro sakurako...", lines=1)
-                                lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=["Pony", "SD 1.5", "SDXL 1.0"], value=["Pony", "SDXL 1.0"])
-                                lora_search_civitai_submit = gr.Button("Search on Civitai")
-                            lora_search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
-                            lora_search_civitai_json = gr.JSON(value={}, visible=False)
-                            lora_search_civitai_desc = gr.Markdown(value="", visible=False)
-                            lora_download_url = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
-                            lora_download = gr.Button("Get and set LoRA and apply to prompt")
+                    with gr.Accordion("From URL", open=True, visible=True):
+                        with gr.Row():
+                            lora_search_civitai_query = gr.Textbox(label="Query", placeholder="oomuro sakurako...", lines=1)
+                            lora_search_civitai_basemodel = gr.CheckboxGroup(label="Search LoRA for", choices=["Pony", "SD 1.5", "SDXL 1.0"], value=["Pony", "SDXL 1.0"])
+                            lora_search_civitai_submit = gr.Button("Search on Civitai")
+                        lora_search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value="", allow_custom_value=True, visible=False)
+                        lora_search_civitai_json = gr.JSON(value={}, visible=False)
+                        lora_search_civitai_desc = gr.Markdown(value="", visible=False)
+                        lora_download_url = gr.Textbox(label="URL", placeholder="http://...my_lora_url.safetensors", lines=1)
+                        lora_download = gr.Button("Get and set LoRA and apply to prompt")
 
                 with gr.Row():
                     recom_prompt = gr.Checkbox(label="Recommended prompt", value=True)