generating image for xyz plot: NansException
Traceback (most recent call last):
  File "/workspace/stable-diffusion-webui/scripts/xyz_grid.py", line 698, in cell
    res = process_images(pc)
  File "/workspace/stable-diffusion-webui/modules/processing.py", line 732, in process_images
    res = process_images_inner(p)
  File "/workspace/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 42, in processing_process_images_hijack
    return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
  File "/workspace/stable-diffusion-webui/modules/processing.py", line 867, in process_images_inner
    samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)
  File "/workspace/stable-diffusion-webui/modules/processing.py", line 1156, in sample
    return self.sample_hr_pass(samples, decoded_samples, seeds, subseeds, subseed_strength, prompts)
  File "/workspace/stable-diffusion-webui/modules/processing.py", line 1242, in sample_hr_pass
    samples = self.sampler.sample_img2img(self, samples, noise, self.hr_c, self.hr_uc, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
  File "/workspace/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 188, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/workspace/stable-diffusion-webui/modules/sd_samplers_common.py", line 261, in launch_sampling
    return func()
  File "/workspace/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 188, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/usr/local/lib/python3.10/dist-packages/torch/utils/_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "/workspace/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral
    denoised = model(x, sigmas[i] * s_in, **extra_args)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/workspace/stable-diffusion-webui/modules/sd_samplers_cfg_denoiser.py", line 201, in forward
    devices.test_for_nans(x_out, "unet")
  File "/workspace/stable-diffusion-webui/modules/devices.py", line 136, in test_for_nans
    raise NansException(message)
modules.devices.NansException: A tensor with all NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.