ant="fp16", torch_dtype=torch.float16)
pipe.to("cuda") You can also run the diffusion process for a shorter number of timesteps. This can either be done with the num_inference_steps argument:   Copied pipe("<prompt>", num_inference_steps=30) Or with the timesteps argument:   Copied from diffusers.pipelines.deepfloyd_if import fast27_timesteps

pipe("<prompt>", timesteps=fast27_timesteps) When doing image variation or inpainting, you can also de