Working_TTI_CPU.py

from diffusers import DiffusionPipeline
import torch
from PIL import Image

# Load the model
pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float32,  # Use float32 for CPU
    use_safetensors=True
)
pipe.to("cpu")

# Define the prompt
prompt = "An astronaut riding a green horse"

# Generate the image
result = pipe(prompt=prompt)
image = result.images[0]

# Save the image
image.save("generated_image.png")

print("Image saved as generated_image.png")