Xformers Error

[HaikenEdge]

I'm getting this error when I try to run "Start Stable-Diffusion" cell of the notebook:

/usr/local/lib/python3.9/dist-packages/torchvision/transforms/functional_tensor.py:5: UserWarning: The torchvision.transforms.functional_tensor module is deprecated in 0.15 and will be **removed in 0.17**. Please don't rely on it. You probably just need to use APIs in torchvision.transforms.functional or in torchvision.transforms.v2.functional.
  warnings.warn(
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
    PyTorch 1.13.1+cu117 with CUDA 1107 (you have 2.0.0+cu118)
    Python  3.9.16 (you have 3.9.16)
  Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
  Memory-efficient attention, SwiGLU, sparse and more won't be available.
  Set XFORMERS_MORE_DETAILS=1 for more details

Not sure what's causing it or how to fix it.

[darth2602]

Same message for me

[PinheiroXD]

For me too! Does anyone have a solution?

[HaikenEdge]

Tried a fresh SD folder in my Google Drive. Did not help, so that's not a solution.

[SteakTree]

If you are using colab, enter a new code cell and put in:
!conda install xformers -c xformers/label/dev
!pip install --pre -U xformers

It will automatically uninstall / install the xtransformers. Had the same issue this am, tried deleting my directory and a fresh install of SD. Still didn't work, however adding these lines of code worked. Of course, you can remove them from your notebook afterward and just run as normal.

[HaikenEdge]

That gave me this instead:

Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/
Requirement already satisfied: xformers in /usr/local/lib/python3.9/dist-packages (0.0.18)
Requirement already satisfied: pyre-extensions==0.0.23 in /usr/local/lib/python3.9/dist-packages (from xformers) (0.0.23)
Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from xformers) (1.22.4)
Requirement already satisfied: torch==2.0.0 in /usr/local/lib/python3.9/dist-packages (from xformers) (2.0.0+cu118)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.9/dist-packages (from pyre-extensions==0.0.23->xformers) (4.5.0)
Requirement already satisfied: typing-inspect in /usr/local/lib/python3.9/dist-packages (from pyre-extensions==0.0.23->xformers) (0.8.0)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.9/dist-packages (from torch==2.0.0->xformers) (3.1.2)
Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.9/dist-packages (from torch==2.0.0->xformers) (2.0.0)
Requirement already satisfied: networkx in /usr/local/lib/python3.9/dist-packages (from torch==2.0.0->xformers) (3.0)
Requirement already satisfied: sympy in /usr/local/lib/python3.9/dist-packages (from torch==2.0.0->xformers) (1.11.1)
Requirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from torch==2.0.0->xformers) (3.10.7)
Requirement already satisfied: cmake in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->torch==2.0.0->xformers) (3.25.2)
Requirement already satisfied: lit in /usr/local/lib/python3.9/dist-packages (from triton==2.0.0->torch==2.0.0->xformers) (16.0.0)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.9/dist-packages (from jinja2->torch==2.0.0->xformers) (2.1.2)
Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.9/dist-packages (from sympy->torch==2.0.0->xformers) (1.3.0)
Requirement already satisfied: mypy-extensions>=0.3.0 in /usr/local/lib/python3.9/dist-packages (from typing-inspect->pyre-extensions==0.0.23->xformers) (0.4.3)

And still didn't solve the problem.

[darth2602]

for me :

100% 20/20 [00:03<00:00, 5.25it/s]
0% 0/20 [00:03<?, ?it/s]
Error completing request
Arguments: ('task(shp99ib5z5rkgbe)', '(Photography of a sleeping black cat) ', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, True, 0.18, 3, 'ESRGAN_4x', 20, 0, 0, [], 0, 0, 0, 0, 0, 0.25, False, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', 1, <scripts.external_code.ControlNetUnit object at 0x7fc0922df2e0>, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0, None, False, 50) {}
Traceback (most recent call last):
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/txt2img.py", line 56, in txt2img
processed = process_images(p)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 503, in process_images
res = process_images_inner(p)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 653, 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/gdrive/MyDrive/sd/stable-diffusion-webui/modules/processing.py", line 941, in sample
samples = self.sampler.sample_img2img(self, samples, noise, conditioning, unconditional_conditioning, steps=self.hr_second_pass_steps or self.steps, image_conditioning=image_conditioning)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 331, 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/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 234, in launch_sampling
return func()
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 331, in
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/utils/_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stablediffusion/src/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 1501, in _call_impl
return forward_call(*args, **kwargs)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 152, in forward
devices.test_for_nans(x_out, "unet")
File "/content/gdrive/MyDrive/sd/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.

[TheLastBen]

fixed