Update src/pipeline.py

src/pipeline.py

@@ -56,7 +56,7 @@ def load_pipeline() -> Pipeline:
     pipeline = DiffusionPipeline.from_pretrained(ckpt_id, revision=ckpt_revision, transformer=transformer, text_encoder_2=text_encoder_2, torch_dtype=torch.bfloat16,)
     pipeline.to("cuda")
     pipeline.to(memory_format=torch.channels_last)
-    for _ in range(1):
+    with torch.inference_mode():
         pipeline(prompt="insensible, timbale, pothery, electrovital, actinogram, taxis, intracerebellar, centrodesmus", width=1024, height=1024, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256)
     return pipeline