Update app.py

app.py

@@ -134,17 +134,18 @@ with gr.Blocks() as demo:
             start_image = gr.Image(label="Imagem de Início (Opcional)", type="filepath", sources=["upload"])
             
             with gr.Accordion("Parâmetros Principais", open=False):
-                duration_input = gr.Slider(label="Duração Total (s)", value=8, step=1, minimum=2, maximum=40)
+                duration_input = gr.Slider(label="Duração Total (s)", value=1, step=1, minimum=1, maximum=40)
                 with gr.Row():
                     height_input = gr.Slider(label="Height", value=720, step=32, minimum=256, maximum=1024)
-                    width_input = gr.Slider(label="Width", value=480, step=32, minimum=256, maximum=1024)
+                    width_input = gr.Slider(label="Width", value=720, step=32, minimum=256, maximum=1024)
                 with gr.Row():
                     seed_input = gr.Number(label="Seed", value=42, precision=0)
                     randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
 
             with gr.Accordion("Opções Adicionais LTX (Avançado)", open=False):
-                cfg_input = gr.Slider(label="Guidance Scale (CFG)", info="Afeta o refinamento (se usado) e não tem efeito no First Pass dos modelos 'distilled'.", value=3.0, step=0.1, minimum=1.0, maximum=10.0)
-                
+                cfg_input = gr.Slider(label="Guidance Scale (CFG)", info="Afeta o refinamento (se usado) e não tem efeito no First Pass dos modelos 'distilled'.", value=0.0, step=1, minimum=0.0, maximum=10.0)
+                fp_num_inference_steps = gr.Slider(label="Passos de Inferência (First Pass)", minimum=10, maximum=100, step=1, value=30)
+            
                 with gr.Tabs():
                     with gr.TabItem("Guiagem (First Pass)"):
                         fp_guidance_preset = gr.Dropdown(
@@ -157,10 +158,7 @@ with gr.Blocks() as demo:
                             fp_guidance_scale_list = gr.Textbox(label="Lista de Guidance Scale", value="[1, 1, 6, 8, 6, 1, 1]")
                             fp_stg_scale_list = gr.Textbox(label="Lista de STG Scale (Movimento)", value="[0, 0, 4, 4, 4, 2, 1]")
                             fp_timesteps_list = gr.Textbox(label="Lista de Guidance Timesteps", value="[1.0, 0.996, 0.9933, 0.9850, 0.9767, 0.9008, 0.6180]")
-                    
-                    with gr.TabItem("Geral"):
-                        fp_num_inference_steps = gr.Slider(label="Passos de Inferência (First Pass)", minimum=10, maximum=100, step=1, value=30)
-            
+                        
             generate_low_btn = gr.Button("1. Gerar Vídeo Base", variant="primary")
         
         with gr.Column(scale=1):
@@ -199,8 +197,7 @@ with gr.Blocks() as demo:
     fp_guidance_preset.change(fn=update_custom_guidance_visibility, inputs=fp_guidance_preset, outputs=custom_guidance_group)
 
     all_ltx_inputs = [
-        fp_guidance_preset, fp_guidance_scale_list, fp_stg_scale_list, fp_timesteps_list,
-        fp_num_inference_steps,
+        fp_guidance_preset, fp_guidance_scale_list, fp_stg_scale_list, fp_timesteps_list
     ]
     
     generate_low_btn.click(
@@ -208,6 +205,7 @@ with gr.Blocks() as demo:
         inputs=[
             generation_mode_input, prompt_input, neg_prompt_input, start_image, height_input, width_input, 
             duration_input, cfg_input, seed_input, randomize_seed,
+            fp_num_inference_steps, ship_initial_inference_steps, ship_final_inference_steps
             *all_ltx_inputs
         ],
         outputs=[low_res_video_output, app_state, post_prod_group]