Upload app.py

app.py

@@ -86,6 +86,14 @@ with gr.Blocks(fill_width=True, elem_id="container", css=css, delete_cache=(60,
                         with gr.Row():
                             recom_prompt = gr.Checkbox(label="Recommended prompt", value=True, scale=1)
                             prompt_syntax = gr.Dropdown(label="Prompt Syntax", choices=PROMPT_W_OPTIONS, value=PROMPT_W_OPTIONS[1][1])
+                    with gr.Row():
+                        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_classes="info")
+                        with gr.Column(scale=1):
+                            model_detail = gr.Checkbox(label="Show detail of model in list", value=False)
                     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)
@@ -109,15 +117,7 @@ with gr.Blocks(fill_width=True, elem_id="container", css=css, delete_cache=(60,
                         with gr.Accordion("Textual inversion", open=True):
                             active_textual_inversion = gr.Checkbox(value=False, label="Active Textual Inversion in prompt")
                             use_textual_inversion = gr.CheckboxGroup(choices=get_ti_choices(model_name.value) if active_textual_inversion.value else [], value=None, label="Use Textual Invertion in prompt")
-                    with gr.Row():
-                        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_classes="info")
-                        with gr.Column(scale=1):
-                            model_detail = gr.Checkbox(label="Show detail of model in list", value=False)
-    
+
                 with gr.Tab("LoRA"):
                     def lora_dropdown(label, visible=True):
                         return gr.Dropdown(label=label, choices=get_all_lora_tupled_list(), value="", allow_custom_value=True, elem_classes="lora", min_width=320, visible=visible)