Update

app.py

@@ -20,7 +20,6 @@ if not torch.cuda.is_available():
 MAX_NUM_FRAMES = int(os.getenv("MAX_NUM_FRAMES", "200"))
 DEFAULT_NUM_FRAMES = min(MAX_NUM_FRAMES, int(os.getenv("DEFAULT_NUM_FRAMES", "24")))
 MAX_SEED = np.iinfo(np.int32).max
-CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES") == "1"
 
 if torch.cuda.is_available():
     pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dtype=torch.float16)
@@ -125,7 +124,6 @@ with gr.Blocks(css="style.css") as demo:
         inputs=inputs,
         outputs=result,
         fn=generate,
-        cache_examples=CACHE_EXAMPLES,
     )
 
     gr.on(