app.py

import torch 
import gradio as gr
from diffusers import StableDiffusionPipeline 

class CFG:
    device = 'cpu'
    seed = 42
    Generator = torch.Generator(device).manual_seed(seed)
    image_gen_steps = 35 
    image_gen_model_id = 'stabilityai/stable-diffusion-2'
    image_gen_size = (400, 400)
    image_gen_guidance_scale = 9

image_gen_model = StableDiffusionPipeline.from_pretrained(
    CFG.image_gen_model_id, torch_dtype=torch.float32,
    revision="fp16", use_auth_token='hf_'
)