stable-diffusion-webui
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AUTOMATIC1111
[Bug]: (WSL) xFormers wasn't build with CUDA support
Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
What happened?
Had to reinstall webui cause git pull was not updating everything properly. Used --xformers, installed normally, generate a image, Will get a long string of error saying that xFormers wasn't build with Cuda support. Manually try to reinstall xFormers, Still same issue.
Steps to reproduce the problem
--xformers in webui-user.sh generate a image
What should have happened?
Xformers should be properly build for Cuda support
Commit where the problem happens
dac59b9b073f86508d3ec787ff731af2e101fbc
What platforms do you use to access UI ?
Linux
What browsers do you use to access the UI ?
Google Chrome
Command Line Arguments
--listen --api --opt-split-attention --xformers
Additional information, context and logs
Error completing request
Arguments: ('task(csqxfz4flxydfi1)', -', 'None', 'None', 30, 15, False, False, 1, 1, 11, -1.0, -1.0, 0, 0, 0, False, 512, 696, False, 0.7, 2, 'Latent', 0, 0, 0, 0, False, False, False, False, '', 1, '', 0, '', True, False, False) {}
Traceback (most recent call last):
File "/home/shieri/stable-diffusion-webui/modules/call_queue.py", line 56, in f
res = list(func(*args, **kwargs))
File "/home/shieri/stable-diffusion-webui/modules/call_queue.py", line 37, in f
res = func(*args, **kwargs)
File "/home/shieri/stable-diffusion-webui/modules/txt2img.py", line 52, in txt2img
processed = process_images(p)
File "/home/shieri/stable-diffusion-webui/modules/processing.py", line 480, in process_images
res = process_images_inner(p)
File "/home/shieri/stable-diffusion-webui/modules/processing.py", line 609, 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 "/home/shieri/stable-diffusion-webui/modules/processing.py", line 801, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "/home/shieri/stable-diffusion-webui/modules/sd_samplers.py", line 544, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/home/shieri/stable-diffusion-webui/modules/sd_samplers.py", line 447, in launch_sampling
return func()
File "/home/shieri/stable-diffusion-webui/modules/sd_samplers.py", line 544, in memory_efficient_attention_forward with inputs:
query : shape=(1, 5568, 8, 40) (torch.float16)
key : shape=(1, 5568, 8, 40) (torch.float16)
value : shape=(1, 5568, 8, 40) (torch.float16)
attn_bias : <class 'NoneType'>
p : 0.0
cutlassF is not supported because:
xFormers wasn't build with CUDA support
flshattF is not supported because:
xFormers wasn't build with CUDA support
tritonflashattF is not supported because:
xFormers wasn't build with CUDA support
requires A100 GPU
smallkF is not supported because:
xFormers wasn't build with CUDA support
dtype=torch.float16 (supported: {torch.float32})
max(query.shape[-1] != value.shape[-1]) > 32
unsupported embed per head: 40
Originally I had dual 3090's for this, but I pulled one out when I was reinstalling. Xformers should just work when --xformers is placed in webui-user.sh. Cause that is what I did a bit over a few weeks ago with no issues, but I have no idea what changed to cause this issue.
Its on linux, I could not get 3.10.6, it would only install the latest 3.10.9, Running the ./webui.sh would use 3.9.12. The model is also just a SD1.5 model.
3.10.X is supposed to work, so since its linux, you built the xformers wheel manually before, and it worked, but doesn't anymore?
check your .whl filename, maybe it was a different python version? (Your error log shows your venv is python3.8)
Alright, sorry if im making little sense, its late and i've been at this for a few hours.
With setting the python version in the webui-user.sh to 3.10, I would get this error
Python 3.10.9 (main, Dec 7 2022, 01:12:00) [GCC 9.4.0] Commit hash: dac59b9b073f86508d3ec787ff731af2e101fbcc Installing torch and torchvision Traceback (most recent call last): File "/home/shieri/stable-diffusion-webui/launch.py", line 316, in <module> prepare_environment() File "/home/shieri/stable-diffusion-webui/launch.py", line 225, in prepare_environment run(f'"{python}" -m {torch_command}', "Installing torch and torchvision", "Couldn't install torch") File "/home/shieri/stable-diffusion-webui/launch.py", line 65, in run raise RuntimeError(message) RuntimeError: Couldn't install torch. Command: "/usr/bin/python3.10" -m pip install torch==1.12.1+cu113 torchvision==0.13.1+cu113 --extra-index-url https://download.pytorch.org/whl/cu113 Error code: 1 stdout: <empty> stderr: Traceback (most recent call last): File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/usr/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/usr/lib/python3/dist-packages/pip/__main__.py", line 16, in <module> from pip._internal.cli.main import main as _main # isort:skip # noqa File "/usr/lib/python3/dist-packages/pip/_internal/cli/main.py", line 10, in <module> from pip._internal.cli.autocompletion import autocomplete File "/usr/lib/python3/dist-packages/pip/_internal/cli/autocompletion.py", line 9, in <module> from pip._internal.cli.main_parser import create_main_parser File "/usr/lib/python3/dist-packages/pip/_internal/cli/main_parser.py", line 7, in <module> from pip._internal.cli import cmdoptions File "/usr/lib/python3/dist-packages/pip/_internal/cli/cmdoptions.py", line 19, in <module> from distutils.util import strtobool ModuleNotFoundError: No module named 'distutils.util'
Also it could just be the case of WSL ubuntu being stupid. (base) shieri@Shieri:~$ sudo apt-get install --reinstall python3-distutils E: Could not get lock /var/lib/dpkg/lock-frontend. It is held by process 17084 (apt-get) N: Be aware that removing the lock file is not a solution and may break your system. E: Unable to acquire the dpkg frontend lock (/var/lib/dpkg/lock-frontend), is another process using it?
Nothing is running at the moment.
Alright, looks like I got 3.10.9 working, but for some reason it would not find my gpu
Traceback (most recent call last):
File "/home/shieri/stable-diffusion-webui/launch.py", line 316, in
Really this just ended up being a whole rabbit hold of reinstalling and uninstalling old versions, same versions etc just to somehow get it working again. Also looks like there might be a issue with me being on CUDA version 12?
Im not sure what to run to downgrade to 11.8 when I follow nvidia's instructsion
wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.0-1_all.deb sudo dpkg -i cuda-keyring_1.0-1_all.deb sudo apt-get update sudo apt-get -y install cuda
Nvidai-smi still reports that its on cuda verison 12
Did you set this up with xformers working before in WSL? why not use the old .whl and old commit or you forgot which one it was?
I did have xformers working before. It was working on a older commit, but I dont remember which version, since I had a issue where it was truncating my prompt past 75 tokens. That is when I used git pull, but it was not properly updating the files which then I was told by people in the project ai server to just reinstall the entire thing.
if you remember the date maybe we could figure the commit version, or you can keep trying
I could try to see if I can find a old screenshot of the version, I do know that it was before the change where height and width was only in steps of 64. Im also gonna keep trying since I had the issue with truncated prompt for a long time. Even tho I started and installed webui after that was apparently fixed?
Yeah, im not able to find much on the older commit version that it was on. Now it really much is just test more tomorrow and try to see if I can downgrade cuda from 12 to 11.8 or lower.
K, idk why but for some reason wsl ubuntu would not let me downgrade cuda from 12 to 11.8 even with a full cuda reinstall and driver reinstall.
I have the same issue with linux mint 21. I'm running python 3.8 in an anaconda env with cudatoolkit 11.3.1.
Same problem, things I've tried below. It started today and I'm sure it's an easy fix, but it might not be, so:
- used --reinstall-xformers --xformers
- tried with no extensions
- git pulled stable, xformers - also pip install -r requirements.txt on both to be safe
- new nvidia studio drivers (1.23.23 - Today!)
- Nvida 3090 asus strix, happened after latest driver update.
- I do have WSL, and I'm uninstalling - it did work with WSL before I updated my Studio Drivers
- I will follow up if this changes anything.
- I just upgraded CUDA to test (12.0 +docs, runtime, vs integration)
- I did this after the error, and it did not affect the situation
- I'm running Windows 10 x64 pro
- Python 3.10.9 - Windows Store version due to a PATH shitshow that kinda forced my hand
Could possible try:
- removing the venv
- launching stable diffusion once (to install all the necessary base packages)
- install torch/torchvision (could try using
pip install --pre torch torchvision --extra-index-url https://download.pytorch.org/whl/cu117to manually install it, even though its for CUDA11.7 it might work?) - install xformers via
pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
In one of these steps maybe there will be some sort of error that shows up that might be swallowed otherwise
unfortunately those steps you outlined, @atensity , didn't work for me, i'm getting this error:
ERROR: Exception in ASGI application
Traceback (most recent call last):
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/streams/memory.py", line 94, in receive
return self.receive_nowait()
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/streams/memory.py", line 89, in receive_nowait
raise WouldBlock
anyio.WouldBlock
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/base.py", line 77, in call_next
message = await recv_stream.receive()
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/streams/memory.py", line 114, in receive
raise EndOfStream
anyio.EndOfStream
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/uvicorn/protocols/http/h11_impl.py", line 407, in run_asgi
result = await app( # type: ignore[func-returns-value]
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 78, in __call__
return await self.app(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/fastapi/applications.py", line 270, in __call__
await super().__call__(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/applications.py", line 124, in __call__
await self.middleware_stack(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/errors.py", line 184, in __call__
raise exc
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/errors.py", line 162, in __call__
await self.app(scope, receive, _send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/base.py", line 106, in __call__
response = await self.dispatch_func(request, call_next)
File "/mnt/das/slow/stable-diffusion/modules/api/api.py", line 80, in log_and_time
res: Response = await call_next(req)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/base.py", line 80, in call_next
raise app_exc
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/base.py", line 69, in coro
await self.app(scope, receive_or_disconnect, send_no_error)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/gzip.py", line 26, in __call__
await self.app(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 79, in __call__
raise exc
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/middleware/exceptions.py", line 68, in __call__
await self.app(scope, receive, sender)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 21, in __call__
raise e
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/fastapi/middleware/asyncexitstack.py", line 18, in __call__
await self.app(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/routing.py", line 706, in __call__
await route.handle(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/routing.py", line 276, in handle
await self.app(scope, receive, send)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/routing.py", line 66, in app
response = await func(request)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/fastapi/routing.py", line 237, in app
raw_response = await run_endpoint_function(
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/fastapi/routing.py", line 165, in run_endpoint_function
return await run_in_threadpool(dependant.call, **values)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/starlette/concurrency.py", line 41, in run_in_threadpool
return await anyio.to_thread.run_sync(func, *args)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 31, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/mnt/das/slow/stable-diffusion/modules/api/api.py", line 187, in text2imgapi
processed = process_images(p)
File "/mnt/das/slow/stable-diffusion/modules/processing.py", line 476, in process_images
res = process_images_inner(p)
File "/mnt/das/slow/stable-diffusion/modules/processing.py", line 614, 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 "/mnt/das/slow/stable-diffusion/modules/processing.py", line 809, in sample
samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
File "/mnt/das/slow/stable-diffusion/modules/sd_samplers.py", line 544, in sample
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/mnt/das/slow/stable-diffusion/modules/sd_samplers.py", line 447, in launch_sampling
return func()
File "/mnt/das/slow/stable-diffusion/modules/sd_samplers.py", line 544, in <lambda>
samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/modules/sd_samplers.py", line 350, in forward
x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond={"c_crossattn": [tensor[a:b]], "c_concat": [image_cond_in[a:b]]})
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward
eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
return self.inner_model.apply_model(*args, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 858, in apply_model
x_recon = self.model(x_noisy, t, **cond)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1329, in forward
out = self.diffusion_model(x, t, context=cc)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 776, in forward
h = module(h, emb, context)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 84, in forward
x = layer(x, context)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 324, in forward
x = block(x, context=context[i])
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 259, in forward
return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 114, in checkpoint
return CheckpointFunction.apply(func, len(inputs), *args)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 129, in forward
output_tensors = ctx.run_function(*ctx.input_tensors)
File "/mnt/das/slow/stable-diffusion/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 262, in _forward
x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/mnt/das/slow/stable-diffusion/modules/sd_hijack_optimizations.py", line 293, in xformers_attention_forward
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 195, in memory_efficient_attention
return _memory_efficient_attention(
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 291, in _memory_efficient_attention
return _memory_efficient_attention_forward(
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 307, in _memory_efficient_attention_forward
op = _dispatch_fw(inp)
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/xformers/ops/fmha/dispatch.py", line 95, in _dispatch_fw
return _run_priority_list(
File "/mnt/das/slow/stable-diffusion/venv/lib/python3.10/site-packages/xformers/ops/fmha/dispatch.py", line 70, in _run_priority_list
raise NotImplementedError(msg)
NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
query : shape=(1, 5184, 8, 40) (torch.float16)
key : shape=(1, 5184, 8, 40) (torch.float16)
value : shape=(1, 5184, 8, 40) (torch.float16)
attn_bias : <class 'NoneType'>
p : 0.0
`cutlassF` is not supported because:
xFormers wasn't build with CUDA support
`flshattF` is not supported because:
xFormers wasn't build with CUDA support
`tritonflashattF` is not supported because:
xFormers wasn't build with CUDA support
triton is not available
requires A100 GPU
`smallkF` is not supported because:
xFormers wasn't build with CUDA support
dtype=torch.float16 (supported: {torch.float32})
max(query.shape[-1] != value.shape[-1]) > 32
unsupported embed per head: 40
I'm getting this error Win10 running just via CLI, so it doesn't look completely isolated to WSL Update: (was accidentally running Python3.6 but the error came up as this anyway)
I guess I should note I'm using bare metal university server 22.04, not WSL, if that helps identify the scope of the issue
I had the same issue as OP, also running on Linux. I could make it work by:
- removing the venv directory
- launching
./webui.sh --xformers, it reinstalled everything, including xformers. Now it works.
output:
Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0]
Commit hash: 226d840e84c5f306350b0681945989b86760e616
Installing torch and torchvision
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117
Collecting torch==1.13.1+cu117
Using cached https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp310-cp310-linux_x86_64.whl (1801.8 MB)
Collecting torchvision==0.14.1+cu117
Using cached https://download.pytorch.org/whl/cu117/torchvision-0.14.1%2Bcu117-cp310-cp310-linux_x86_64.whl (24.3 MB)
Collecting typing-extensions
Using cached typing_extensions-4.4.0-py3-none-any.whl (26 kB)
Collecting requests
Using cached requests-2.28.2-py3-none-any.whl (62 kB)
Collecting numpy
Using cached numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
Collecting pillow!=8.3.*,>=5.3.0
Using cached Pillow-9.4.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.4 MB)
Collecting certifi>=2017.4.17
Using cached certifi-2022.12.7-py3-none-any.whl (155 kB)
Collecting idna<4,>=2.5
Using cached idna-3.4-py3-none-any.whl (61 kB)
Collecting charset-normalizer<4,>=2
Using cached charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (198 kB)
Collecting urllib3<1.27,>=1.21.1
Using cached urllib3-1.26.14-py2.py3-none-any.whl (140 kB)
Installing collected packages: charset-normalizer, urllib3, typing-extensions, pillow, numpy, idna, certifi, torch, requests, torchvision
Successfully installed certifi-2022.12.7 charset-normalizer-3.0.1 idna-3.4 numpy-1.24.1 pillow-9.4.0 requests-2.28.2 torch-1.13.1+cu117 torchvision-0.14.1+cu117 typing-extensions-4.4.0 urllib3-1.26.14
Installing gfpgan
Installing clip
Installing open_clip
Installing xformers
Installing requirements for CodeFormer
Installing requirements for Web UI
I had the same issue as OP, also running on Linux. I could make it work by:
- removing the venv directory
- launching
./webui.sh --xformers, it reinstalled everything, including xformers. Now it works.output:
Python 3.10.6 (main, Nov 14 2022, 16:10:14) [GCC 11.3.0] Commit hash: 226d840e84c5f306350b0681945989b86760e616 Installing torch and torchvision Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu117 Collecting torch==1.13.1+cu117 Using cached https://download.pytorch.org/whl/cu117/torch-1.13.1%2Bcu117-cp310-cp310-linux_x86_64.whl (1801.8 MB) Collecting torchvision==0.14.1+cu117 Using cached https://download.pytorch.org/whl/cu117/torchvision-0.14.1%2Bcu117-cp310-cp310-linux_x86_64.whl (24.3 MB) Collecting typing-extensions Using cached typing_extensions-4.4.0-py3-none-any.whl (26 kB) Collecting requests Using cached requests-2.28.2-py3-none-any.whl (62 kB) Collecting numpy Using cached numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB) Collecting pillow!=8.3.*,>=5.3.0 Using cached Pillow-9.4.0-cp310-cp310-manylinux_2_28_x86_64.whl (3.4 MB) Collecting certifi>=2017.4.17 Using cached certifi-2022.12.7-py3-none-any.whl (155 kB) Collecting idna<4,>=2.5 Using cached idna-3.4-py3-none-any.whl (61 kB) Collecting charset-normalizer<4,>=2 Using cached charset_normalizer-3.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (198 kB) Collecting urllib3<1.27,>=1.21.1 Using cached urllib3-1.26.14-py2.py3-none-any.whl (140 kB) Installing collected packages: charset-normalizer, urllib3, typing-extensions, pillow, numpy, idna, certifi, torch, requests, torchvision Successfully installed certifi-2022.12.7 charset-normalizer-3.0.1 idna-3.4 numpy-1.24.1 pillow-9.4.0 requests-2.28.2 torch-1.13.1+cu117 torchvision-0.14.1+cu117 typing-extensions-4.4.0 urllib3-1.26.14 Installing gfpgan Installing clip Installing open_clip Installing xformers Installing requirements for CodeFormer Installing requirements for Web UI
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