docs: little update

app.py

@@ -138,7 +138,7 @@ vae = AutoencoderKLWan.from_pretrained(base_model_id, subfolder="vae", torch_dty
 print("Loading the pipeline!")
 pipe = WanImageToVideoPipeline.from_pretrained(base_model_id, transformer=transformer, vae=vae, torch_dtype=torch.bfloat16)
 pipe.to("cuda")
-pipe.enable_model_cpu_offload()
+# pipe.enable_model_cpu_offload()
 
 #####################################################################################################################################
 
@@ -327,14 +327,14 @@ def build_canvas(input_image_path, resized_height, resized_width, top_left_heigh
 
 
 
-def process_points(traj_list, num_frames=49):
+def process_points(traj_list, num_frames=81):
 
 
     if len(traj_list) < 2:     # First point
         return [traj_list[0]] * num_frames
 
     elif len(traj_list) >= num_frames:
-        raise gr.Info("The number of trajectory points is more than 49 limits, we will do cropping!")
+        raise gr.Info("The number of trajectory points is more than the limits, we will do cropping!")
         skip = len(traj_list) // num_frames
         return traj_list[::skip][: num_frames - 1] + traj_list[-1:]