File "F:\SD\sd-webui-aki-v4.6.1\modules\processing.py", line 1257, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "F:\SD\sd-webui-aki-v4.6.1\modules\sd_samplers_kdiffusion.py", line 234, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "F:\SD\sd-webui-aki-v4.6.1\modules\sd_samplers_common.py", line 261, in launch_sampling
return func()
File "F:\SD\sd-webui-aki-v4.6.1\modules\sd_samplers_kdiffusion.py", line 234, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args=self.sampler_extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
File "F:\SD\sd-webui-aki-v4.6.1\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "F:\SD\sd-webui-aki-v4.6.1\repositories\k-diffusion\k_diffusion\sampling.py", line 128, in sample_euler
denoised = model(x, sigma_hat * s_in, **extra_args)
File "F:\SD\sd-webui-aki-v4.6.1\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "F:\SD\sd-webui-aki-v4.6.1\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "F:\SD\sd-webui-aki-v4.6.1\modules\sd_samplers_cfg_denoiser.py", line 269, in forward
devices.test_for_nans(x_out, "unet")
File "F:\SD\sd-webui-aki-v4.6.1\modules\devices.py", line 255, 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.
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有没有懂的老哥