Update app.py

app.py

@@ -7,16 +7,16 @@ from diffusers import StableDiffusionXLPipeline
 accelerator = Accelerator(cpu=True)
 
 pipe = accelerator.prepare(StableDiffusionXLPipeline.from_pretrained("segmind/SSD-1B", torch_dtype=torch.bfloat16, use_safetensors=True, variant="fp16"))
-pipe = accelerator.prepare(pipe.to("cpu"))
+pipe.to("cpu")
 
 def plex(prompt,neg_prompt,stips):
     apol=[]
     
-    image = pipe(prompt=prompt, negative_prompt=neg_prompt, num_inference_steps=stips, output_type="pil")
+    image = pipe(prompt=[prompt]*2, negative_prompt=[neg_prompt]*2, num_inference_steps=stips, output_type="pil")
     for i, imge in enumerate(image["images"]):
         apol.append(imge)
     return apol
 
-iface = gr.Interface(fn=plex, inputs=[gr.Textbox(label="prompt"),gr.Textbox(label="negative prompt",value="ugly, blurry, poor quality"), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=5, value=2)], outputs=gr.Gallery(label="out", columns=2))
-iface.queue(max_size=1)
+iface = gr.Interface(fn=plex, inputs=[gr.Textbox(label="prompt"),gr.Textbox(label="negative prompt",value="ugly, blurry, poor quality"), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=5, value=4)], outputs=gr.Gallery(label="out", columns=2))
+iface.queue(max_size=1,api_open=False)
 iface.launch(max_threads=1)