Update app.py

app.py

@@ -90,11 +90,11 @@ pipe.load_lora_weights(
 )
 
 
-pipe.set_adapters(["lightx2v", "lora_h", "lightx2v_2", "lora_l"], adapter_weights=[1., 0.1, 1., 0.3])
-pipe.fuse_lora(adapter_names=["lightx2v"], lora_scale=3., components=["transformer"])
-pipe.fuse_lora(adapter_names=["lora_h"], lora_scale=1., components=["transformer"])
+pipe.set_adapters(["lightx2v", "lora_h", "lightx2v_2", "lora_l"], adapter_weights=[1., 1., 1., 1.])
+pipe.fuse_lora(adapter_names=["lightx2v"], lora_scale=1., components=["transformer"])
+pipe.fuse_lora(adapter_names=["lora_h"], lora_scale=0.3, components=["transformer"])
 pipe.fuse_lora(adapter_names=["lightx2v_2"], lora_scale=1., components=["transformer_2"])
-pipe.fuse_lora(adapter_names=["lora_l"], lora_scale=1., components=["transformer_2"])
+pipe.fuse_lora(adapter_names=["lora_l"], lora_scale=0.6, components=["transformer_2"])
 pipe.unload_lora_weights()
 
 
@@ -191,7 +191,7 @@ def get_duration(
 def generate_video(
     input_image,
     prompt,
-    steps = 4,
+    steps = 8,
     negative_prompt=default_negative_prompt,
     duration_seconds = MAX_DURATION,
     guidance_scale = 1,
@@ -280,7 +280,7 @@ with gr.Blocks() as demo:
                 negative_prompt_input = gr.Textbox(label="Negative Prompt", value=default_negative_prompt, lines=3)
                 seed_input = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=42, interactive=True)
                 randomize_seed_checkbox = gr.Checkbox(label="Randomize seed", value=True, interactive=True)
-                steps_slider = gr.Slider(minimum=1, maximum=30, step=1, value=6, label="Inference Steps") 
+                steps_slider = gr.Slider(minimum=1, maximum=30, step=1, value=8, label="Inference Steps") 
                 guidance_scale_input = gr.Slider(minimum=0.0, maximum=10.0, step=0.5, value=1, label="Guidance Scale - high noise stage")
                 guidance_scale_2_input = gr.Slider(minimum=0.0, maximum=10.0, step=0.5, value=1, label="Guidance Scale 2 - low noise stage")