@ -266,7 +266,7 @@ def main():
x_samples_ddim = model.decode_first_stage(samples_ddim)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1)
x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1).numpy()
x_image = x_samples_ddim
safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")