Update src/pipeline.py

src/pipeline.py

@@ -49,9 +49,10 @@ def load_pipeline() -> Pipeline:
     pipeline.transformer = torch.compile(pipeline.transformer, mode="reduce-overhead")
     quantize_(pipeline.vae, int8_weight_only())
     
-    for _ in range(4):
-        pipeline(prompt="onomancy, aftergo, spirantic, Platyhelmia, modificator, drupaceous, jobbernowl, hereness", width=1024, height=1024, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256)
-    
+    for _ in range(3):
+        pipeline(prompt="Platyhelmia, modificator, drupaceous, jobbernowl, hereness", width=1024, height=1024, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256)
+    pipeline(prompt="", width=1024, height=1024, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256)
+
     empty_cache()
     return pipeline