.py

from diffusers import AutoPipelineForImage2Image

pipe = AutoPipelineForImage2Image.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0", 
    torch_dtype=torch.float16,
    variant="fp16",
    use_safetensors=True,
    cache_dir=CACHE_DIR
).to(DEVICE)

prompt = "New modern style of livingroom, warm color palette, detailed, 8k"

img_gen = pipe(prompt, image=img_pil, strength=0.7, num_inference_steps=100)
img_gen.images[0]