from diffusers import StableDiffusionPipeline
import torch
from transformers.utils.hub import move_cache
move_cache()

sdmodel=['stabilityai/stable-diffusion-2-1']


def T2I(Prompt,model):
  model_id = model
  pipe = StableDiffusionPipeline.from_pretrained(model_id)
  pipe = pipe.to("cpu")

  prompt = Prompt
  image = pipe(prompt).images[0]

  return image


desc = "The Models are running on Low processing power CPU'S. Which can take longer time to load!!!"
import gradio as gr

# css = ".gradio-container {background: rgb(0, 166, 228)}"
interface = gr.Interface(fn=T2I, 
                        inputs=["text", gr.Dropdown(sdmodel)],
                         outputs="image", 
                        title='Advanced Stable DiFFusion',
                        description=desc
                        )

interface.launch()