import gradio as gr

def greet(name):
    return "Hello " + name + "!!"

from diffusers import AutoPipelineForText2Image
import torch
def pipee(name):
  pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cpu")


  pipeline.load_lora_weights("ostris/super-cereal-sdxl-lora", weight_name="cereal_box_sdxl_v1.safetensors")
  prompt = "bears, pizza bites"
  image = pipeline(prompt).images[0]
  return image



iface = gr.Interface(fn=pipee, inputs="text", outputs="text")
iface.launch()