could not have done造句（Couldn‘t find Lora with name guofeng3_v32Light 0% 0/20 [00:00＜?, ?it/s] Error completing request A）

Couldn’t find Lora with name guofeng3_v32Light

0% 0/20 [00:00

Error completing request

Arguments: (‘task(i569b770wukqzw4)’, ‘one nude asian girl 18 years old with slender body, young face, visible armpits, sideburns,messy hair,posing on bed with white sheets,full body photo,bright room,window,sunlight,white sunbeams,4k,realistic, ultra detailed,detailed,masterpiece,highres,by Jeremy Lipking, by Antonio J Manzanedo,(by Alphonse Mucha:0.4),(Ultra detailed),(portrait),lora:guofeng3_v32Light:0.2,lora:liuyifei_10:0.9’, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), manboobs, backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), blurry, (bad anatomy:1.21), (bad proportions:1.331), (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), , [], 20, 0, False, False, 1, 1, 7, 964412687.0, -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 “/content/stable-diffusion-webui/modules/call_queue.py             ”, line 56, in f

res = list(func(*args, **kwargs))

File “/content/stable-diffusion-webui/modules/call_queue.py
 
  
 
  
 
  
 
  
 
  
 
  
”, line 37, in f

res = func(*args, **kwargs)

File “/content/stable-diffusion-webui/modules/txt2img.py











”, line 56, in txt2img

processed = process_images§

File “/content/stable-diffusion-webui/modules/processing.py  
  
  
  
  
  
 ”, line 486, in process_images

res = process_images_inner§

File “/content/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 “/content/stable-diffusion-webui/modules/processing.py


 


 


 


 


 


 
”, line 836, in sample

samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))

File “/content/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 “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py  
   
   
   
   
   
  ”, line 227, in launch_sampling

return func()

File “/content/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 “/usr/local/lib/python3.9/dist-packages/torch/autograd/grad_mode.py
 

 

 

 

 

 
”, line 27, in decorate_context

return func(*args, **kwargs)

File “/content/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/python3.9/dist-packages/torch/nn/modules/module.py
 

 
 

 
 

 
 

 
 

 
 

 
”, line 1194, in _call_impl

return forward_call(*input, **kwargs)

File “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py











”, line 145, in forward

devices.test_for_nans(x_out, “unet                   ”)

File “/content/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. 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.

0% 0/20 [00:00

Error completing request

Arguments: (‘task(cbo8xeey2hnbevp)’, ‘one nude asian girl 18 years old with slender body, young face, visible armpits, sideburns,messy hair,posing on bed with white sheets,full body photo,bright room,window,sunlight,white sunbeams,4k,realistic, ultra detailed,detailed,masterpiece,highres,by Jeremy Lipking, by Antonio J Manzanedo,(by Alphonse Mucha:0.4),(Ultra detailed),(portrait),lora:liuyifei_10:0.9’, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), manboobs, backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), blurry, (bad anatomy:1.21), (bad proportions:1.331), (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), , [], 20, 0, False, False, 1, 1, 7, 964412687.0, -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 “/content/stable-diffusion-webui/modules/call_queue.py             ”, line 56, in f

res = list(func(*args, **kwargs))

File “/content/stable-diffusion-webui/modules/call_queue.py
 
  
 
  
 
  
 
  
 
  
 
  
”, line 37, in f

res = func(*args, **kwargs)

File “/content/stable-diffusion-webui/modules/txt2img.py











”, line 56, in txt2img

processed = process_images§

File “/content/stable-diffusion-webui/modules/processing.py  
  
  
  
  
  
 ”, line 486, in process_images

res = process_images_inner§

File “/content/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 “/content/stable-diffusion-webui/modules/processing.py


 


 


 


 


 


 
”, line 836, in sample

samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))

File “/content/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 “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py  
   
   
   
   
   
  ”, line 227, in launch_sampling

return func()

File “/content/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 “/usr/local/lib/python3.9/dist-packages/torch/autograd/grad_mode.py
 

 

 

 

 

 
”, line 27, in decorate_context

return func(*args, **kwargs)

File “/content/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/python3.9/dist-packages/torch/nn/modules/module.py
 

 
 

 
 

 
 

 
 

 
 

 
”, line 1194, in _call_impl

return forward_call(*input, **kwargs)

File “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py











”, line 145, in forward

devices.test_for_nans(x_out, “unet                   ”)

File “/content/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. 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.

Loading weights [None] from /content/stable-diffusion-webui/models/Stable-diffusion/chilloutmix_NiPrunedFp32Fix.safetensorsCouldn’t find Lora with name guofeng3_v32Light

0% 0/20 [00:00

Error completing request

Arguments: (‘task(i569b770wukqzw4)’, ‘one nude asian girl 18 years old with slender body, young face, visible armpits, sideburns,messy hair,posing on bed with white sheets,full body photo,bright room,window,sunlight,white sunbeams,4k,realistic, ultra detailed,detailed,masterpiece,highres,by Jeremy Lipking, by Antonio J Manzanedo,(by Alphonse Mucha:0.4),(Ultra detailed),(portrait),lora:guofeng3_v32Light:0.2,lora:liuyifei_10:0.9’, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), manboobs, backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), blurry, (bad anatomy:1.21), (bad proportions:1.331), (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), , [], 20, 0, False, False, 1, 1, 7, 964412687.0, -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 “/content/stable-diffusion-webui/modules/call_queue.py             ”, line 56, in f

res = list(func(*args, **kwargs))

File “/content/stable-diffusion-webui/modules/call_queue.py
 
  
 
  
 
  
 
  
 
  
 
  
”, line 37, in f

res = func(*args, **kwargs)

File “/content/stable-diffusion-webui/modules/txt2img.py











”, line 56, in txt2img

processed = process_images§

File “/content/stable-diffusion-webui/modules/processing.py  
  
  
  
  
  
 ”, line 486, in process_images

res = process_images_inner§

File “/content/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 “/content/stable-diffusion-webui/modules/processing.py


 


 


 


 


 


 
”, line 836, in sample

samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))

File “/content/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 “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py  
   
   
   
   
   
  ”, line 227, in launch_sampling

return func()

File “/content/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 “/usr/local/lib/python3.9/dist-packages/torch/autograd/grad_mode.py
 

 

 

 

 

 
”, line 27, in decorate_context

return func(*args, **kwargs)

File “/content/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/python3.9/dist-packages/torch/nn/modules/module.py
 

 
 

 
 

 
 

 
 

 
 

 
”, line 1194, in _call_impl

return forward_call(*input, **kwargs)

File “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py











”, line 145, in forward

devices.test_for_nans(x_out, “unet                   ”)

File “/content/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. 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.

0% 0/20 [00:00

Error completing request

Arguments: (‘task(cbo8xeey2hnbevp)’, ‘one nude asian girl 18 years old with slender body, young face, visible armpits, sideburns,messy hair,posing on bed with white sheets,full body photo,bright room,window,sunlight,white sunbeams,4k,realistic, ultra detailed,detailed,masterpiece,highres,by Jeremy Lipking, by Antonio J Manzanedo,(by Alphonse Mucha:0.4),(Ultra detailed),(portrait),lora:liuyifei_10:0.9’, paintings, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, (outdoor:1.6), manboobs, backlight,(ugly:1.331), (duplicate:1.331), (morbid:1.21), (mutilated:1.21), (tranny:1.331), mutated hands, (poorly drawn hands:1.331), blurry, (bad anatomy:1.21), (bad proportions:1.331), (disfigured:1.331), (more than 2 nipples:1.331), (missing arms:1.331), (extra legs:1.331), (fused fingers:1.61051), (too many fingers:1.61051), (unclear eyes:1.331), , [], 20, 0, False, False, 1, 1, 7, 964412687.0, -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 “/content/stable-diffusion-webui/modules/call_queue.py             ”, line 56, in f

res = list(func(*args, **kwargs))

File “/content/stable-diffusion-webui/modules/call_queue.py
 
  
 
  
 
  
 
  
 
  
 
  
”, line 37, in f

res = func(*args, **kwargs)

File “/content/stable-diffusion-webui/modules/txt2img.py











”, line 56, in txt2img

processed = process_images§

File “/content/stable-diffusion-webui/modules/processing.py  
  
  
  
  
  
 ”, line 486, in process_images

res = process_images_inner§

File “/content/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 “/content/stable-diffusion-webui/modules/processing.py


 


 


 


 


 


 
”, line 836, in sample

samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))

File “/content/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 “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py  
   
   
   
   
   
  ”, line 227, in launch_sampling

return func()

File “/content/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 “/usr/local/lib/python3.9/dist-packages/torch/autograd/grad_mode.py
 

 

 

 

 

 
”, line 27, in decorate_context

return func(*args, **kwargs)

File “/content/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/python3.9/dist-packages/torch/nn/modules/module.py
 

 
 

 
 

 
 

 
 

 
 

 
”, line 1194, in _call_impl

return forward_call(*input, **kwargs)

File “/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py











”, line 145, in forward

devices.test_for_nans(x_out, “unet                   ”)

File “/content/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. 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.

Loading weights [None] from /content/stable-diffusion-webui/models/Stable-diffusion/chilloutmix_NiPrunedFp32Fix.safetensors

这个是stable diffusion的报错

这个可能是服务器端网络错误 
  
  
  
  
  
 ，我歇息了一下就好了             。