app.py

from diffusers import StableDiffusionPipeline
import torch
import gradio as gr
import accelerate


models=[
gr.Interface.load("ItsJayQz/Marvel_WhatIf_Diffusion"),
gr.Interface.load("DGSpitzer/Cyberpunk-Anime-Diffusion"),
gr.Interface.load("DGSpitzer/Guan-Yu-Diffusion"),
gr.Interface.load("wavymulder/portraitplus"),
gr.Interface.load("nitrosocke/classic-anim-diffusion"),
gr.Interface.load("22h/vintedois-diffusion-v0-1"),
gr.Interface.load("dreamlike-art/dreamlike-diffusion-1.0"),
gr.Interface.load("stabilityai/stable-diffusion-2-1")
]

def TextToImage(Prompt,model):
  model_id = model
  pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.get_default_dtype())
  pipe = pipe.to("cpu")
  prompt = Prompt
  image = pipe(prompt).images[0]
  return image

sandbox = gr.Interface(fn=TextToImage, 
                        inputs=["text", gr.Dropdown(models)],
                         outputs="image", 
                        title='AlStable Text to Image')

sandbox.launch()