from flask import Flask, request
from diffusers import StableDiffusionPipeline
import torch
import os

app = Flask(__name__)


model_id = "runwayml/stable-diffusion-v1-5"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cpu")

def dummy(images, **kwargs):
    return images, False

pipe.safety_checker = dummy

@app.route('/')
def generate_image():
    prompt = request.args.get('prompt')
    image = pipe(prompt).images[0]
    # do something with the generated image
    image_data = image.tobytes().hex()

    return {'image_data': image_data}

if __name__ == '__main__':
    app.run(host='0.0.0.0', port=5000)