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camenduru / stable-diffusion-webui-colab

stable diffusion webui colab
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[Bug]: NansException: A tensor with all NaNs was produced in Unet. (--no-half) #253

Closed imamqaum1 closed 1 year ago

imamqaum1 commented 1 year ago

What happened?

Stable diffusion can running normally Screenshot 2023-03-11 041739

Console logs

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/content/stable-diffusion-webui
HEAD is now at 0cc0ee1 Merge pull request #7945 from w-e-w/fix-image-downscale

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mkdir: cannot create directory ‘/content/stable-diffusion-webui/extensions/deforum-for-automatic1111-webui/models’: File exists
Python 3.9.16 (main, Dec  7 2022, 01:11:51) 
[GCC 9.4.0]
Commit hash: 0cc0ee1bcb4c24a8c9715f66cede06601bfc00c8
Installing requirements for Web UI

Launching Web UI with arguments: --share --xformers --enable-insecure-extension-access --theme dark --gradio-queue --cloudflared
2023-03-10 21:07:30.493433: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-03-10 21:07:34.585098: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.9/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2023-03-10 21:07:34.585398: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/lib/python3.9/dist-packages/cv2/../../lib64:/usr/lib64-nvidia
2023-03-10 21:07:34.585428: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
[AddNet] Updating model hashes...
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Loading weights [3268722264] from /content/stable-diffusion-webui/models/Stable-diffusion/Ares_Mix/aresMix_v01.safetensors
Creating model from config: /content/stable-diffusion-webui/configs/v1-inference.yaml
LatentDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.52 M params.
Applying xformers cross attention optimization.
Textual inversion embeddings loaded(0): 
Model loaded in 13.8s (load weights from disk: 0.2s, create model: 10.8s, apply weights to model: 2.7s).
Running on local URL:  http://127.0.0.1:7860
Running on public URL: https://eb59bf1c-b4a9-419d.gradio.live
Public WebUI Colab URL: https://cf-designer-dispatch-beer.trycloudflare.com
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Error completing request
Arguments: ('task(zavf8nf7rrc4oox)', 0, 'a woman sitting at a table with a tablet computer in her hand and a cat in the background looking at her, Cheng Shifa, a stock photo, sumatraism, detailed facial features, beautiful detailed face, perfect face, dreamy face expression, high detailed skin, white skin texture, detailed eyes, seductive eyes, alluring eyes, beautiful eyes, full red lips, hourglass body, perfect body, skinny, petite, red pussy, showing pussy, nude, small breast, sitting, hijab, shawl hijab, elegant, sexually suggestive, sex appeal, seductive look, bedroom, submissive, fantasy environment, magical atmosphere, dramatic style, golden hour, embers swirling, soft lighting, volumetric lighting, realistic lighting, cinematic lighting, natural lighting, long exposure trails, hyper detailed, sharp focus, bokeh, masterpiece, award winning photograph, epic character composition,Key light, backlight, soft natural lighting, photography 800 ISO film grain 50mm lens RAW aperture f1.6, highly detailed, Girl, full body, full body view, full body shoot, full body photograph', '(asian:1.2), black and white, sepia, bad art, b&w, canvas frame, cartoon, 3d, Photoshop, video game, 3d render, semi-realistic, cgi, render, sketch, drawing, anime, worst quality, low quality, jpeg artifacts, duplicate, messy drawing, black-white, doll, illustration, lowres, deformed, disfigured, mutation, amputation, distorted, mutated, mutilated, poorly drawn, bad anatomy, wrong anatomy, bad proportions, gross proportions, double body, long body, unnatural body, extra limb, missing limb, floating limb, disconnected limbs, malformed limbs, missing arms, extra arms, disappearing arms, missing legs, extra legs, broken legs, disappearing legs, deformed thighs, malformed hands, mutated hands and fingers, double hands, extra fingers, poorly drawn hands, mutated hands, fused fingers, too many fingers, poorly drawn feet, poorly drawn hands, big hands, hand with more than 5 fingers, hand with less than 5 fingers, bad feet, poorly drawn feet, fused feet, missing feet, bad knee, extra knee, more than 2 legs, poorly drawn face, cloned face, double face, bad hairs, poorly drawn hairs, fused hairs, cross-eye, ugly eyes, bad eyes, poorly drawn eyes, asymmetric eyes, cross-eyed, ugly mouth, missing teeth, crooked teeth, bad mouth, poorly drawn mouth, dirty teeth, bad tongue, fused ears, bad ears, poorly drawn ears, extra ears, heavy ears, missing ears, poorly drawn breasts, more than 2 nipples, missing nipples, different nipples, fused nipples, bad nipples, poorly drawn nipples, bad asshole, poorly drawn asshole, fused asshole, bad anus, bad pussy, bad crotch, fused anus, fused pussy, poorly drawn crotch, poorly drawn anus, poorly drawn pussy, bad clit, fused clit, fused pantie, poorly drawn pantie, fused cloth, poorly drawn cloth, bad pantie, obese, ugly, disgusting, morbid, big muscles, blurry, censored, oversaturated, watermark, watermarked, extra digit, fewer digits, signature, text', [], <PIL.Image.Image image mode=RGBA size=4000x6000 at 0x7F078CA1B280>, None, None, None, None, None, None, 20, 15, 4, 0, 1, False, False, 1, 1, 6, 1.5, 0.65, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 0, False, '', 0, False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', True, True, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, 50) {}
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/img2img.py", line 171, in img2img
    processed = process_images(p)
  File "/content/stable-diffusion-webui/modules/processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "/content/stable-diffusion-webui/modules/processing.py", line 632, 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 1048, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 322, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 225, in launch_sampling
    return func()
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 322, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  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 594, in sample_dpmpp_2m
    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 143, 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% 0/14 [00:00<?, ?it/s]
Error completing request
Arguments: ('task(g732ew2nncldv55)', 0, 'a woman sitting at a table with a tablet computer in her hand and a cat in the background looking at her, Cheng Shifa, a stock photo, sumatraism, detailed facial features, beautiful detailed face, perfect face, dreamy face expression, high detailed skin, white skin texture, detailed eyes, seductive eyes, alluring eyes, beautiful eyes, full red lips, hourglass body, perfect body, skinny, petite, red pussy, showing pussy, nude, small breast, sitting, hijab, shawl hijab, elegant, sexually suggestive, sex appeal, seductive look, bedroom, submissive, fantasy environment, magical atmosphere, dramatic style, golden hour, embers swirling, soft lighting, volumetric lighting, realistic lighting, cinematic lighting, natural lighting, long exposure trails, hyper detailed, sharp focus, bokeh, masterpiece, award winning photograph, epic character composition,Key light, backlight, soft natural lighting, photography 800 ISO film grain 50mm lens RAW aperture f1.6, highly detailed, Girl, full body, full body view, full body shoot, full body photograph', '(asian:1.2), black and white, sepia, bad art, b&w, canvas frame, cartoon, 3d, Photoshop, video game, 3d render, semi-realistic, cgi, render, sketch, drawing, anime, worst quality, low quality, jpeg artifacts, duplicate, messy drawing, black-white, doll, illustration, lowres, deformed, disfigured, mutation, amputation, distorted, mutated, mutilated, poorly drawn, bad anatomy, wrong anatomy, bad proportions, gross proportions, double body, long body, unnatural body, extra limb, missing limb, floating limb, disconnected limbs, malformed limbs, missing arms, extra arms, disappearing arms, missing legs, extra legs, broken legs, disappearing legs, deformed thighs, malformed hands, mutated hands and fingers, double hands, extra fingers, poorly drawn hands, mutated hands, fused fingers, too many fingers, poorly drawn feet, poorly drawn hands, big hands, hand with more than 5 fingers, hand with less than 5 fingers, bad feet, poorly drawn feet, fused feet, missing feet, bad knee, extra knee, more than 2 legs, poorly drawn face, cloned face, double face, bad hairs, poorly drawn hairs, fused hairs, cross-eye, ugly eyes, bad eyes, poorly drawn eyes, asymmetric eyes, cross-eyed, ugly mouth, missing teeth, crooked teeth, bad mouth, poorly drawn mouth, dirty teeth, bad tongue, fused ears, bad ears, poorly drawn ears, extra ears, heavy ears, missing ears, poorly drawn breasts, more than 2 nipples, missing nipples, different nipples, fused nipples, bad nipples, poorly drawn nipples, bad asshole, poorly drawn asshole, fused asshole, bad anus, bad pussy, bad crotch, fused anus, fused pussy, poorly drawn crotch, poorly drawn anus, poorly drawn pussy, bad clit, fused clit, fused pantie, poorly drawn pantie, fused cloth, poorly drawn cloth, bad pantie, obese, ugly, disgusting, morbid, big muscles, blurry, censored, oversaturated, watermark, watermarked, extra digit, fewer digits, signature, text', [], <PIL.Image.Image image mode=RGBA size=4000x6000 at 0x7F0685BC92E0>, None, None, None, None, None, None, 20, 15, 4, 0, 1, False, False, 1, 1, 6, 1.5, 0.65, -1.0, -1.0, 0, 0, 0, False, 512, 512, 0, 0, 32, 0, '', '', '', [], 0, False, '', 0, False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', True, True, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 1, 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', 0, '', 0, '', True, False, False, False, 0, None, 50) {}
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/img2img.py", line 171, in img2img
    processed = process_images(p)
  File "/content/stable-diffusion-webui/modules/processing.py", line 486, in process_images
    res = process_images_inner(p)
  File "/content/stable-diffusion-webui/modules/processing.py", line 632, 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 1048, in sample
    samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning)
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 322, in sample_img2img
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 225, in launch_sampling
    return func()
  File "/content/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 322, in <lambda>
    samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, **extra_params_kwargs))
  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 594, in sample_dpmpp_2m
    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 143, 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.

Is there an existing issue for this?

Are you using the latest version of the colab notebook?

Which colab notebook did you use?

stable_diffusion_webui_colab.ipynb

Which repo branch did the colab you use comes from ?

v2.0

Which tunnel did you use ?

--share (Gradio Tunnel)

What browsers do you use to access the WebUI ?

Microsoft Edge

etherealxx commented 1 year ago

add --no-half at the back of the !launch.py line on that colab. Though, idk which colab that are frequently got this problem

camenduru commented 1 year ago

Hi @imamqaum1 👋 maybe the model is broken please try this https://huggingface.co/Dorhorshu532/aresmix/resolve/main/aresMix_v01.safetensors