Describe the bug

when I use the script train_text_to_image_lora_sdxl.py to train my lora, the validation image in tensorboard is black .... just like this

Reproduction

the code in train_text_to_image_lora_sdxl

        phase_name = "test" if is_final_validation else "validation"
        if tracker.name == "tensorboard":
            np_images = np.stack([np.asarray(img) for img in images])
            tracker.writer.add_images(phase_name, np_images, epoch, dataformats="NHWC")
        if tracker.name == "wandb":
            tracker.log(
                {
                    phase_name: [
                        wandb.Image(image, caption=f"{i}: {args.validation_prompt}") for i, image in enumerate(images)
                    ]
                }
            )

Logs

No response

System Info

diffusers-cli env
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.3.1+cu121 with CUDA 1201 (you have 2.4.1+cu121)
Python 3.12.4 (you have 3.12.3)
Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set XFORMERS_MORE_DETAILS=1 for more details

Copy-and-paste the text below in your GitHub issue and FILL OUT the two last points.

• 🤗 Diffusers version: 0.31.0.dev0
• Platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.35
• Running on Google Colab?: No
• Python version: 3.12.3
• PyTorch version (GPU?): 2.4.1+cu121 (True)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Huggingface_hub version: 0.25.1
• Transformers version: 4.38.0
• Accelerate version: 0.34.2
• PEFT version: 0.7.0
• Bitsandbytes version: 0.44.0
• Safetensors version: 0.4.5
• xFormers version: 0.0.27
• Accelerator: NVIDIA GeForce RTX 3090, 24576 MiB
  NVIDIA GeForce RTX 3090, 24576 MiB
• Using GPU in script?:
• Using distributed or parallel set-up in script?:

Who can help?

No response