model.py

# Import necessary libraries and modules
import openai
from diffusers import StableDiffusionPipeline
import torch

# Function to generate AI-based images using OpenAI DALL-E
def generate_images_using_openai(text):
    # Create an image using OpenAI's DALL-E model
    response = openai.Image.create(prompt=text, n=1, size="512x512")
    image_url = response['data'][0]['url']
    return image_url

# Function to generate AI-based images using Huggingface Diffusers
def generate_images_using_huggingface_diffusers(text):
    # Load the StableDiffusionPipeline from Huggingface
    pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
    pipe = pipe.to("cuda")  # Transfer the model to GPU if available
    prompt = text
    image = pipe(prompt).images[0]  # Generate the image using the prompt
    return image