Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same

[jgardet]

Using the Diffuser demo model, I run in that issue after sampling and when decoding starts: Any clue?

100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [39:17<00:00, 94.31s/it]
!!! Exception during processing !!! Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same
Traceback (most recent call last):
File "C:\Work\vfluencers\ComfyUI\custom_nodes\ComfyUI-ControlNeXt-SVD\nodes.py", line 341, in process
frames = pipeline.decode_latents(samples['samples'], num_frames, decode_chunk_size)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Work\vfluencers\ComfyUI\custom_nodes\ComfyUI-ControlNeXt-SVD\pipeline\pipeline_stable_video_diffusion_controlnext.py", line 270, in decode_latents
frame = self.vae.decode(latents[i : i + decode_chunk_size], **decode_kwargs).sample

[Shellmode]

Try to change context_length of "Context Options Standard Static" node if you used it