Update app.py

app.py

@@ -391,6 +391,45 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
                 with gr.Row():
                     prompt = gr.Textbox(label="Prompt")
                     style = gr.Dropdown(label="Style", choices=STYLE_NAMES, value=DEFAULT_STYLE_NAME)
+
+                with gr.Accordion(label="Generation Settings", open=False):
+                    with gr.Tab(label="sketch-to-image generation"):
+                        negative_prompt = gr.Textbox(label="Negative prompt")
+                        
+                        num_steps = gr.Slider(
+                        label="Number of steps",
+                        minimum=1,
+                        maximum=20,
+                        step=1,
+                        value=8,
+                    )
+                        guidance_scale = gr.Slider(
+                            label="Guidance scale",
+                            minimum=0.1,
+                            maximum=10.0,
+                            step=0.1,
+                            value=5,
+                        )
+                        controlnet_conditioning_scale = gr.Slider(
+                            label="controlnet conditioning scale",
+                            minimum=0.5,
+                            maximum=5.0,
+                            step=0.01,
+                            value=0.85,
+                        )
+                    with gr.Tab(label="3D generation"):
+                        seed = gr.Slider(0, MAX_SEED, label="Seed", value=0, step=1)
+                        randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+                        gr.Markdown("Stage 1: Sparse Structure Generation")
+                        with gr.Row():
+                            ss_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=7.5, step=0.1)
+                            ss_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
+                        gr.Markdown("Stage 2: Structured Latent Generation")
+                        with gr.Row():
+                            slat_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=3.0, step=0.1)
+                            slat_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
+                        multiimage_algo = gr.Radio(["stochastic", "multidiffusion"], label="Multi-image Algorithm", value="stochastic")
+                   
                             
             with gr.Tab(label="Multiple Images", id=1, visible=False) as multiimage_input_tab:
                     multiimage_prompt = gr.Gallery(label="Image Prompt", format="png", type="pil", height=300, columns=3)
@@ -400,44 +439,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
                         *NOTE: this is an experimental algorithm without training a specialized model. It may not produce the best results for all images, especially those having different poses or inconsistent details.*
                     """)
             
-            with gr.Accordion(label="Generation Settings", open=False):
-                with gr.Tab(label="sketch-to-image generation"):
-                    negative_prompt = gr.Textbox(label="Negative prompt")
-                    
-                    num_steps = gr.Slider(
-                    label="Number of steps",
-                    minimum=1,
-                    maximum=20,
-                    step=1,
-                    value=8,
-                )
-                    guidance_scale = gr.Slider(
-                        label="Guidance scale",
-                        minimum=0.1,
-                        maximum=10.0,
-                        step=0.1,
-                        value=5,
-                    )
-                    controlnet_conditioning_scale = gr.Slider(
-                        label="controlnet conditioning scale",
-                        minimum=0.5,
-                        maximum=5.0,
-                        step=0.01,
-                        value=0.8,
-                    )
-                with gr.Tab(label="3D generation"):
-                    seed = gr.Slider(0, MAX_SEED, label="Seed", value=0, step=1)
-                    randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-                    gr.Markdown("Stage 1: Sparse Structure Generation")
-                    with gr.Row():
-                        ss_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=7.5, step=0.1)
-                        ss_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
-                    gr.Markdown("Stage 2: Structured Latent Generation")
-                    with gr.Row():
-                        slat_guidance_strength = gr.Slider(0.0, 10.0, label="Guidance Strength", value=3.0, step=0.1)
-                        slat_sampling_steps = gr.Slider(1, 50, label="Sampling Steps", value=12, step=1)
-                    multiimage_algo = gr.Radio(["stochastic", "multidiffusion"], label="Multi-image Algorithm", value="stochastic")
-               
+            
             #generate_btn = gr.Button("Generate")
             
             with gr.Accordion(label="GLB Extraction Settings", open=False):