freeU ComplexHalf warning

[eyaler]

Describe the bug

got this warning with sd-turbo+fp16+freeU. just wanted to know if this has actual impact

Reproduction

import torch
from diffusers import AutoPipelineForText2Image
pipe = AutoPipelineForText2Image.from_pretrained('stabilityai/sd-turbo', torch_dtype=torch.float16, variant='fp16', use_safetensors=True).to('cuda')
pipe.enable_freeu(s1=.9, s2=.2, b1=1.4, b2=1.6)
pipe(prompt='')

Logs

/usr/local/lib/python3.12/dist-packages/diffusers/utils/torch_utils.py:118: UserWarning: ComplexHalf support is experimental and many operators don't support it yet. (Triggered internally at /pytorch/aten/src/ATen/EmptyTensor.cpp:55.)
  x_freq = fftn(x, dim=(-2, -1))

System Info

Two systems tested:

- 🤗 Diffusers version: 0.35.2
- Platform: Windows-11-10.0.26200-SP0
- Running on Google Colab?: No
- Python version: 3.12.10
- PyTorch version (GPU?): 2.8.0+cu129 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Huggingface_hub version: 0.35.3
- Transformers version: 4.57.1
- Accelerate version: 1.10.1
- PEFT version: not installed
- Bitsandbytes version: not installed
- Safetensors version: 0.6.2
- xFormers version: 0.0.32.post2
- Accelerator: NVIDIA GeForce RTX 3070 Ti Laptop GPU, 8192 MiB
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no

- 🤗 Diffusers version: 0.35.2
- Platform: Linux-6.6.105+-x86_64-with-glibc2.35
- Running on Google Colab?: Yes
- Python version: 3.12.12
- PyTorch version (GPU?): 2.8.0+cu126 (True)
- Flax version (CPU?/GPU?/TPU?): 0.10.6 (gpu)
- Jax version: 0.5.3
- JaxLib version: 0.5.3
- Huggingface_hub version: 0.35.3
- Transformers version: 4.57.1
- Accelerate version: 1.10.1
- PEFT version: 0.17.1
- Bitsandbytes version: not installed
- Safetensors version: 0.6.2
- xFormers version: not installed
- Accelerator: Tesla T4, 15360 MiB
- Using GPU in script?: yes
- Using distributed or parallel set-up in script?: no

Who can help?

@yiyixuxu