Update app.py

app.py

@@ -61,7 +61,7 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
     
     lora_path = "checkpoints/"
     weight_name = "orbit_left_lora_weights.safetensors" if orbit_type == "Left" else "orbit_up_lora_weights.safetensors"
-    lora_rank = 128
+    lora_rank = 256
     adapter_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
 
     # Load LoRA weights on CPU
@@ -81,7 +81,7 @@ def infer(image_path, prompt, orbit_type, progress=gr.Progress(track_tqdm=True))
             video = pipe(
                 image, 
                 prompt, 
-                num_inference_steps=25,
+                num_inference_steps=50,
                 guidance_scale=7.0,
                 use_dynamic_cfg=True,
                 generator=torch.Generator(device="cpu").manual_seed(seed)
@@ -156,4 +156,4 @@ with gr.Blocks(analytics_enabled=False) as demo:
         outputs=[video_out]
     )
 
-demo.queue().launch(show_error=True, show_api=False)
+demo.queue().launch(show_error=True, show_api=False, ssr_mode=False)