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The issue is caused by an extension, but I believe it is caused by a bug in the webui
The issue exists in the current version of the webui
The issue has not been reported before recently
The issue has been reported before but has not been fixed yet
What happened?
SDXL models do img2img failed for the first time, but the error disappeared when SDXL models do any txt2img before img2img.
Steps to reproduce the problem
start webui server
use SDXL model to do img2img
What should have happened?
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.
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
none
Console logs
Traceback (most recent call last):
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/img2img.py", line 232, in img2img
processed = process_images(p)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/processing.py", line 845, in process_images
res = process_images_inner(p)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 41, in processing_process_images_hijack
return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/processing.py", line 981, 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 "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/processing.py", line 1741, in sample
samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 172, 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 "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/sd_samplers_common.py", line 272, in launch_sampling
returnfunc()
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 172, 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 "/cmb-ai-data/wuxinyi/stable-diffusion-webui/venv_a100/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 594, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/venv_a100/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/modules/sd_samplers_cfg_denoiser.py", line 269, in forward
devices.test_for_nans(x_out, "unet")
File "/cmb-ai-data/wuxinyi/stable-diffusion-webui/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.
Additional information
No response
The text was updated successfully, but these errors were encountered:
Checklist
What happened?
SDXL models do img2img failed for the first time, but the error disappeared when SDXL models do any txt2img before img2img.
Steps to reproduce the problem
What should have happened?
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.
What browsers do you use to access the UI ?
Google Chrome
Sysinfo
none
Console logs
Additional information
No response
The text was updated successfully, but these errors were encountered: