Update app.py

app.py

@@ -162,16 +162,16 @@ pipe.to("cuda")
 # pipe.load_lora_weights("TODO/TODO", adapter_name="ltx-lora")
 # pipe.set_adapters(["lrx-lora"], adapter_weights=[1.0])
 
-pipe.fuse_qkv_projections()
+# pipe.fuse_qkv_projections()
 
 pipe.unet.to(memory_format=torch.channels_last)
 pipe.vae.to(memory_format=torch.channels_last)
 pipe.unet = torch.compile(pipe.unet, mode="max-autotune", fullgraph=True)
 pipe.vae.decode = torch.compile(pipe.vae.decode, mode="max-autotune", fullgraph=True)
 
-@spaces.GPU(duration=120, progress=gr.Progress(track_tqdm=True))
+@spaces.GPU(duration=120)
 @torch.inference_mode()
-def generate_video(prompt, negative_prompt, height, width, num_frames, num_inference_steps, fps, seed):
+def generate_video(prompt, negative_prompt, height, width, num_frames, num_inference_steps, fps, seed, progress=gr.Progress(track_tqdm=True)):
     progress_steps = []
 
     def setup_progressbar_length(_num_steps=num_inference_steps):