ultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")
prompt = "a beautiful landscape photograph"
pipe.enable_vae_tiling()
pipe.enable_xformers_memory_efficient_attention()

image = pipe([prompt], width=3840, height=2224, num_inference_steps=20).images[0]
The output image will have some tile-to-tile tone variation from the tiles having separate decoders, but you shouldn’t see sharp seams between the tiles. The tiling is tu