Update app.py

app.py

@@ -60,12 +60,12 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
     elif orbit_type == "Up":
         weight_name = "orbit_up_lora_weights.safetensors"
         #adapter_name = "orbit_up_lora_weights"
-    lora_rank = 256
+    lora_rank = 128
 
     adapter_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
 
     # Load LoRA weights on CPU, move to GPU afterward
-    pipe.load_lora_weights(lora_path, weight_name=weight_name, adapter_name=adapter_timestamp)
+    pipe.load_lora_weights(lora_path, weight_name=weight_name, adapter_name=f"adapter_{adapter_timestamp}")
     pipe.fuse_lora(lora_scale=1 / lora_rank)
     
     # Move the pipeline to GPU for inference
@@ -80,7 +80,7 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
     video = pipe(
         image, 
         prompt, 
-        num_inference_steps=50,
+        num_inference_steps=25,
         guidance_scale=7.0,
         use_dynamic_cfg=True,
         generator=torch.Generator(device="cpu").manual_seed(seed)