app.py

import streamlit as st
from io import BytesIO
from typing import Literal
from diffusers import StableDiffusionPipeline
import torch
import time

seed = 42
generator = torch.manual_seed(seed)

NUM_ITERS_TO_RUN = 2
NUM_INFERENCE_STEPS = 20
NUM_IMAGES_PER_PROMPT = 1


def text2image(
    prompt: str,
    repo_id: Literal[
        "dreamlike-art/dreamlike-photoreal-2.0",
        "hakurei/waifu-diffusion",
        "prompthero/openjourney",
        "stabilityai/stable-diffusion-2-1",
        "runwayml/stable-diffusion-v1-5",
        "nota-ai/bk-sdm-small",
        "CompVis/stable-diffusion-v1-4",
    ],
):
    start = time.time()
    if torch.cuda.is_available():
        print("Using GPU")
        pipeline = StableDiffusionPipeline.from_pretrained(
            repo_id,
            torch_dtype=torch.float16,
            use_safetensors=True,
        ).to("cuda")
    else:
        print("Using CPU")
        pipeline = StableDiffusionPipeline.from_pretrained(
            repo_id,
            torch_dtype=torch.float32,
            use_safetensors=True,
        )

    for _ in range(NUM_ITERS_TO_RUN):
        images = pipeline(
            prompt,
            num_inference_steps=NUM_INFERENCE_STEPS,
            generator=generator,
            num_images_per_prompt=NUM_IMAGES_PER_PROMPT,
        ).images
    end = time.time()
    return images[0], start, end

def app():
    st.header("Text-to-image Web App")
    st.subheader("Powered by Hugging Face")
    user_input = st.text_area(
        "Enter your text prompt below and click the button to submit."
    )

    option = st.selectbox(
        "Select model (in order of processing time)",
        (
            "nota-ai/bk-sdm-small",
            "CompVis/stable-diffusion-v1-4",
            "runwayml/stable-diffusion-v1-5",
            "prompthero/openjourney",
            "hakurei/waifu-diffusion",
            "stabilityai/stable-diffusion-2-1",
            "dreamlike-art/dreamlike-photoreal-2.0",
        ),
    )

    with st.form("my_form"):
        submit = st.form_submit_button(label="Submit text prompt")

    if submit:
        with st.spinner(text="Generating image ... It may take up to 20 minutes."):
            im, start, end = text2image(prompt=user_input, repo_id=option)
            buf = BytesIO()
            im.save(buf, format="PNG")
            byte_im = buf.getvalue()
            hours, rem = divmod(end - start, 3600)
            minutes, seconds = divmod(rem, 60)
            st.success(
                "Processing time: {:0>2}:{:0>2}:{:05.2f}.".format(
                    int(hours), int(minutes), seconds
                )
            )
            st.image(im)
            st.download_button(
                label="Click here to download",
                data=byte_im,
                file_name="generated_image.png",
                mime="image/png",
            )

if __name__ == "__main__":
    app()