Upload app.py

app.py

@@ -40,6 +40,7 @@ css = """
 #container {  margin: 0 auto; !important; }
 #col-container { margin: 0 auto; !important; }
 #result { display: inline-block; max-width: 520px; max-height: 520px; width: 520px; height: 520px; align: center; margin: 0px auto; !important; }
+.lora { display: inline-block; min-width: 320px; !important; }
 #model-info { text-align: center; !important; }
 """
 
@@ -72,12 +73,13 @@ with gr.Blocks(css=css, fill_width=True, elem_id="container") as demo:
                     num_inference_steps = gr.Slider(label="Number of inference steps", minimum=1, maximum=100, step=1, value=28)
 
                 with gr.Row():
-                    with gr.Column():
+                    with gr.Column(scale=4):
                         model_name = gr.Dropdown(label="Model", info="You can enter a huggingface model repo_id to want to use.",
                                                 choices=get_diffusers_model_list(), value=get_diffusers_model_list()[0],
                                                 allow_custom_value=True, interactive=True, min_width=320)
                         model_info = gr.Markdown(elem_id="model-info")
-                    model_detail = gr.Checkbox(label="Show detail of model in list", value=False)                    
+                    with gr.Column(scale=1):
+                        model_detail = gr.Checkbox(label="Show detail of model in list", value=False)
 
                 with gr.Row():
                     sampler = gr.Dropdown(label="Sampler", choices=get_samplers(), value="Euler a")
@@ -86,35 +88,35 @@ with gr.Blocks(css=css, fill_width=True, elem_id="container") as demo:
                 with gr.Accordion("LoRA", open=True, visible=True):
                     with gr.Row():
                         with gr.Group():
-                            lora1 = gr.Dropdown(label="LoRA 1", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, min_width=320)
+                            lora1 = gr.Dropdown(label="LoRA 1", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
                             lora1_wt = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA 1: weight")
                             with gr.Row():
                                 lora1_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
                                 lora1_copy = gr.Button(value="Copy example to prompt", visible=False)
                             lora1_md = gr.Markdown(value="", visible=False)
                         with gr.Group():
-                            lora2 = gr.Dropdown(label="LoRA 2", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, min_width=320)
+                            lora2 = gr.Dropdown(label="LoRA 2", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
                             lora2_wt = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA 2: weight")
                             with gr.Row():
                                 lora2_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
                                 lora2_copy = gr.Button(value="Copy example to prompt", visible=False)
                             lora2_md = gr.Markdown(value="", visible=False)
                         with gr.Group():
-                            lora3 = gr.Dropdown(label="LoRA 3", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, min_width=320)
+                            lora3 = gr.Dropdown(label="LoRA 3", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
                             lora3_wt = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA 3: weight")
                             with gr.Row():
                                 lora3_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
                                 lora3_copy = gr.Button(value="Copy example to prompt", visible=False)
                             lora3_md = gr.Markdown(value="", visible=False)
                         with gr.Group():
-                            lora4 = gr.Dropdown(label="LoRA 4", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, min_width=320)
+                            lora4 = gr.Dropdown(label="LoRA 4", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
                             lora4_wt = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA 4: weight")
                             with gr.Row():
                                 lora4_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)
                                 lora4_copy = gr.Button(value="Copy example to prompt", visible=False)
                             lora4_md = gr.Markdown(value="", visible=False)
                         with gr.Group():
-                            lora5 = gr.Dropdown(label="LoRA 5", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, min_width=320)
+                            lora5 = gr.Dropdown(label="LoRA 5", choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320)
                             lora5_wt = gr.Slider(minimum=-2, maximum=2, step=0.01, value=1.00, label="LoRA 5: weight")
                             with gr.Row():
                                 lora5_info = gr.Textbox(label="", info="Example of prompt:", value="", show_copy_button=True, interactive=False, visible=False)