Method load_tensor

lightx2v/utils/service_utils.py:127–130

(self, tensor_base64: str, device="cuda")

        return base64.b64encode(self.buffer.getvalue()).decode("utf-8")

    def load_tensor(self, tensor_base64: str, device="cuda") -> torch.Tensor:
        tensor_bytes = base64.b64decode(tensor_base64)
        with io.BytesIO(tensor_bytes) as buffer:
            return self.to_device(torch.load(buffer), device)


class ImageTransporter: