Getting Error upon trying to Generate with this Model
Tried to use the Model, but I keep getting the Error. Removing the Check just results in Black Image.
Here is the Error Code. Need help what to do
Error completing request
Arguments: ('task(i1pnwbq7stttj0x)', 'masterpiece, best quality, line art, 1girl, black hair, long hair, messy hair', 'lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts,signature, watermark, username, blurry, artist name, ((3D)),\n', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, [], 0, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {}
Traceback (most recent call last):
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\txt2img.py", line 56, in txt2img
processed = process_images(p)
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\processing.py", line 486, in process_images
res = process_images_inner(p)
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\processing.py", line 636, in process_images_inner
samples_ddim = p.sample(conditioning=c, unconditional_conditioning=uc, seeds=seeds, subseeds=subseeds, subseed_strength=p.subseed_strength, prompts=prompts)
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\processing.py", line 852, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 351, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 227, in launch_sampling
return func()
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 351, in
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "D:\Desktop\SDAI\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "D:\Desktop\SDAI\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 "D:\Desktop\SDAI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl
return forward_call(*input, **kwargs)
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\sd_samplers_kdiffusion.py", line 145, in forward
devices.test_for_nans(x_out, "unet")
File "D:\Desktop\SDAI\stable-diffusion-webui\modules\devices.py", line 152, in test_for_nans
raise NansException(message)
modules.devices.NansException: A tensor with all NaNs was produced in Unet. Use --disable-nan-check commandline argument to disable this check.