Update app.py

app.py

@@ -69,7 +69,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 request_log = []  
 
-clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32", cache_dir=model_path).to(torch.device("cuda:0"))
+clip_model = CLIPModel.from_pretrained("openai/clip-vit-base-patch32", cache_dir=model_path)
 clip_processor = CLIPProcessor.from_pretrained("openai/clip-vit-base-patch32", cache_dir=model_path)
 
 def compute_clip_embedding(text=None, image=None):
@@ -404,8 +404,8 @@ def generate_video_from_image_90(
 def create_advanced_options():
     with gr.Accordion("Step 4: Advanced Options (Optional)", open=False):
         seed = gr.Slider(label="4.1 Seed", minimum=0, maximum=1000000, step=1, value=646373)
-        inference_steps = gr.Slider(label="4.2 Inference Steps", minimum=5, maximum=150, step=5, value=40)
-        guidance_scale = gr.Slider(label="4.3 Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=4.2)
+        inference_steps = gr.Slider(label="4.2 Inference Steps", minimum=5, maximum=150, step=5, value=30)
+        guidance_scale = gr.Slider(label="4.3 Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=3.0)
         
         height_slider = gr.Slider(
             label="4.4 Height",