Comment on: The inference speed is very slow

```python from dots_tts.runtime import DotsTtsRuntime import soundfile as sf import torch runtime = DotsTtsRuntime.from_pretrained( "/path/to/dots_tts_model", precision="bfloat16", optimize=True, ) # generate_stream yields audio chunks (torch.Tensor, shape (1, samples)) as they # are produced — useful for low-latency playback or piping to a client. stream = runtime.generate_stream( text="Hello, this is a streaming speech synthesis test.", prompt_audio_path="/path/to/reference.wav", prompt_text="The exact transcript of the reference audio.", num_steps=10, guidance_scale=1.0, ) # Option A: consume chunk-by-chunk (e.g. push to a player / websocket). chunks = [] for chunk in stream: chunks.append(chunk.detach().float().cpu()) # handle_chunk(chunk) # your real-time consumer here # Option B: concatenate and write the full waveform to disk. audio = torch.cat(chunks, dim=-1).squeeze().numpy() sf.writ...