from transformers.utils import move_cache
move_cache()

from diffusers import StableDiffusionPipeline
import torch
import gradio as gr

get_completion = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)


def texttoImage(input):
    output = get_completion(input)
    return output.images[0]

demo = gr.Interface(fn=texttoImage,
                    inputs=[gr.Textbox(label="Your prompt")],
                    outputs=[gr.Image(label="Result")],
                    title="Image Generation with Stable Diffusion",
                    description="Generate any image with Stable Diffusion",
                    allow_flagging="never",
                    examples=["the spirit of a tamagotchi wandering in the city of Vienna",
                              "a mecha robot in a favela"])

demo.launch()