SDXL support

Is this method support SDXL? I just replace the model with sdxl base. And it raise error

Traceback (most recent call last): File "/dfs/comicai/songtao.tian/StreamDiffusion/streamdiffusion_test.py", line 42, in stream(init_image) File "/root/miniconda3/envs/streamdiffusion/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/dfs/comicai/songtao.tian/StreamDiffusion/src/streamdiffusion/pipeline.py", line 461, in call x_0_pred_out = self.predict_x0_batch(x_t_latent) File "/dfs/comicai/songtao.tian/StreamDiffusion/src/streamdiffusion/pipeline.py", line 399, in predict_x0_batch x_0_pred_batch, model_pred = self.unet_step(x_t_latent, t_list) File "/dfs/comicai/songtao.tian/StreamDiffusion/src/streamdiffusion/pipeline.py", line 313, in unet_step model_pred = self.unet( File "/root/miniconda3/envs/streamdiffusion/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/root/miniconda3/envs/streamdiffusion/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, **kwargs) File "/root/miniconda3/envs/streamdiffusion/lib/python3.10/site-packages/diffusers/models/unet_2d_condition.py", line 967, in forward if "text_embeds" not in added_cond_kwargs: TypeError: argument of type 'NoneType' is not iterable