batch size 12

app.py

@@ -29,7 +29,7 @@ if torch.cuda.is_available():
         add_watermarker=False
     )
     pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
-    pipe.load_lora_weights("ehristoforu/dalle-3-xl", weight_name="dalle-3-xl-lora-v1.safetensors", adapter_name="dalle")
+    pipe.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle")
     pipe.set_adapters("dalle")
 
     pipe.to("cuda")
@@ -184,6 +184,8 @@ with gr.Blocks(css=css) as demo:
             negative_prompt.submit,
             run_button.click,
         ],
+        batch=True,
+        max_batch_size=12, 
         fn=generate,
         inputs=[
             prompt,