importtorchfromnunchaku.pipelinesimportfluxasnunchaku_fluxpipeline=nunchaku_flux.from_pretrained("black-forest-labs/FLUX.1-schnell",torch_dtype=torch.bfloat16,qmodel_path="mit-han-lab/svdquant-models/svdq-int4-flux.1-schnell.safetensors",# download from Huggingface).to("cuda")image=pipeline("A cat holding a sign that says hello world",num_inference_steps=4,guidance_scale=0).images[0]image.save("example.png")