Update app.py

app.py

@@ -28,7 +28,6 @@ def generate_video(prompt, negative_prompt, num_inference_steps, conditioning_fr
     ]
     conditioning_frames = [load_image(img_file) for img_file in image_files]
 
-    # Ensure conditioning_frame_indices is a list of integers
     conditioning_frame_indices = eval(conditioning_frame_indices)
     controlnet_conditioning_scale = float(controlnet_conditioning_scale)
 
@@ -61,9 +60,9 @@ def generate_simple_video(prompt):
     frames = pipe(
         prompt,
         num_frames=64,
-        num_inference_steps=20,
-        guidance_scale=7.0,
-        decode_chunk_size=2,
+        num_inference_steps=50,  # Increased for higher quality
+        guidance_scale=10.0,     # Increased for stronger guidance
+        decode_chunk_size=1,     # Reduced for finer details
     ).frames[0]
     
     export_to_gif(frames, "simple_output.gif")
@@ -74,7 +73,7 @@ demo1 = gr.Interface(
     inputs=[
         gr.Textbox(label="Prompt", value="an aerial view of a cyberpunk city, night time, neon lights, masterpiece, high quality"),
         gr.Textbox(label="Negative Prompt", value="low quality, worst quality, letterboxed"),
-        gr.Slider(label="Number of Inference Steps", minimum=1, maximum=100, step=1, value=25),
+        gr.Slider(label="Number of Inference Steps", minimum=1, maximum=100, step=1, value=50),  # Increased default value
         gr.Textbox(label="Conditioning Frame Indices", value="[0, 8, 15]"),
         gr.Slider(label="ControlNet Conditioning Scale", minimum=0.1, maximum=2.0, step=0.1, value=1.0)
     ],
@@ -93,7 +92,5 @@ demo2 = gr.Interface(
 
 demo = gr.TabbedInterface([demo1, demo2], ["Advanced Video Generation", "Simple Video Generation"])
 
-
-
 demo.launch()
 #demo.launch(server_name="0.0.0.0", server_port=7910)