| import torch | |
| from diffusers import ( | |
| DiffusionPipeline, | |
| AutoencoderKL, | |
| ) | |
| from diffusers.schedulers import * | |
| def load_common(): | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| # VAE n Refiner | |
| sdxl_vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16).to(device) | |
| refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-1.0", vae=sdxl_vae, torch_dtype=torch.float16, use_safetensors=True, variant="fp16").to(device) | |
| refiner.enable_model_cpu_offload() | |
| return refiner, sdxl_vae | |
| refiner, sdxl_vae = load_common() | |