Comments (9)
Firestorm7893
commented on May 28, 2024
3
I fixed it temporarily by editing the dokerfile present in services/AUTOMATIC111/
FROM alpine/git:2.36.2 as download
COPY clone.sh /clone.sh
RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd0b2355b84d7ea6 \
&& rm -rf data assets **/*.ipynb
RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd31875c9279cd2f4f16b92e4ea958e \
&& rm -rf assets data/**/*.png data/**/*.jpg data/**/*.gif
RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af \
&& rm -rf assets inputs
RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9
RUN . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusion.git c9fe758757e022f05ca5a53fa8fac28889e4f1cf
RUN . /clone.sh clip-interrogator https://github.com/pharmapsychotic/clip-interrogator 2486589f24165c8e3b303f84e9dbbea318df83e8
RUN . /clone.sh generative-models https://github.com/Stability-AI/generative-models 45c443b316737a4ab6e40413d7794a7f5657c19f
FROM alpine:3.17 as xformers
RUN apk add --no-cache aria2
RUN aria2c -x 5 --dir / --out wheel.whl 'https://github.com/AbdBarho/stable-diffusion-webui-docker/releases/download/6.0.0/xformers-0.0.21.dev544-cp310-cp310-manylinux2014_x86_64-pytorch201.whl'
FROM python:3.10.13-slim
ENV DEBIAN_FRONTEND=noninteractive PIP_PREFER_BINARY=1
RUN --mount=type=cache,target=/var/cache/apt \
apt-get update && \
# we need those
apt-get install -y fonts-dejavu-core rsync git jq moreutils aria2 \
# extensions needs those
ffmpeg libglfw3-dev libgles2-mesa-dev pkg-config libcairo2 libcairo2-dev build-essential
RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip \
aria2c -x 5 --dir /cache --out torch-2.0.1-cp310-cp310-linux_x86_64.whl -c \
https://download.pytorch.org/whl/cu118/torch-2.0.1%2Bcu118-cp310-cp310-linux_x86_64.whl && \
pip install /cache/torch-2.0.1-cp310-cp310-linux_x86_64.whl torchvision --index-url https://download.pytorch.org/whl/cu118
COPY requirements_versions.txt /requirements_versions.txt
RUN --mount=type=cache,target=/root/.cache/pip \
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git && \
cd stable-diffusion-webui && \
git reset --hard 20ae71faa8ef035c31aa3a410b707d792c8203a3 && \
pip install -r /requirements_versions.txt
RUN --mount=type=cache,target=/root/.cache/pip \
--mount=type=bind,from=xformers,source=/wheel.whl,target=/xformers-0.0.21.dev544-cp310-cp310-manylinux2014_x86_64.whl \
pip install /xformers-0.0.21.dev544-cp310-cp310-manylinux2014_x86_64.whl
ENV ROOT=/stable-diffusion-webui
COPY --from=download /repositories/ ${ROOT}/repositories/
RUN mkdir ${ROOT}/interrogate && cp ${ROOT}/repositories/clip-interrogator/data/* ${ROOT}/interrogate
RUN --mount=type=cache,target=/root/.cache/pip \
pip install -r ${ROOT}/repositories/CodeFormer/requirements.txt
RUN --mount=type=cache,target=/root/.cache/pip \
pip install pyngrok \
git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379 \
git+https://github.com/openai/CLIP.git@d50d76daa670286dd6cacf3bcd80b5e4823fc8e1 \
git+https://github.com/mlfoundations/open_clip.git@bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b
# Note: don't update the sha of previous versions because the install will take forever
# instead, update the repo state in a later step
# TODO: either remove if fixed in A1111 (unlikely) or move to the top with other apt stuff
RUN apt-get -y install libgoogle-perftools-dev && apt-get clean
ENV LD_PRELOAD=libtcmalloc.so
ARG SHA=68f336bd994bed5442ad95bad6b6ad5564a5409a
RUN --mount=type=cache,target=/root/.cache/pip \
cd stable-diffusion-webui && \
git fetch && \
git reset --hard ${SHA} && \
pip install -r requirements_versions.txt \
pip install -U pip && \
pip install -U httpcore && \
pip3 install httpx==0.24.1
COPY . /docker
RUN \
python3 /docker/info.py ${ROOT}/modules/ui.py && \
mv ${ROOT}/style.css ${ROOT}/user.css && \
# one of the ugliest hacks I ever wrote \
sed -i 's/in_app_dir = .*/in_app_dir = True/g' /usr/local/lib/python3.10/site-packages/gradio/routes.py && \
git config --global --add safe.directory '*'
WORKDIR ${ROOT}
ENV NVIDIA_VISIBLE_DEVICES=all
ENV CLI_ARGS=""
EXPOSE 7860
ENTRYPOINT ["/docker/entrypoint.sh"]
CMD python -u webui.py --listen --port 7860 ${CLI_ARGS}
and by adding a file called requirements_versions.txt in that same folder. here's the content of the file
GitPython==3.1.32
Pillow==9.5.0
accelerate==0.21.0
basicsr==1.4.2
blendmodes==2022
clean-fid==0.1.35
einops==0.4.1
fastapi==0.94.0
gfpgan==1.3.8
gradio==3.41.2
httpx==0.24.1
httpcore==0.15
inflection==0.5.1
jsonmerge==1.8.0
kornia==0.6.7
lark==1.1.2
numpy==1.23.5
omegaconf==2.2.3
open-clip-torch==2.20.0
piexif==1.1.3
psutil==5.9.5
pytorch_lightning==1.9.4
realesrgan==0.3.0
resize-right==0.0.2
safetensors==0.3.1
scikit-image==0.21.0
timm==0.9.2
tomesd==0.1.3
torch
torchdiffeq==0.2.3
torchsde==0.2.5
transformers==4.30.2
httpx==0.24.1
this applies the fix you mentioned in your post :)
from stable-diffusion-webui-docker.
Herbert-Zheng
commented on May 28, 2024
2
I believe this issue has been fixed. We only needs to change here:
to the latest commit of AUTOMATIC111
4afaaf8a020c1df457bcf7250cb1c7f609699fa7 which add the httpx==0.24.1 in the requirement file: #13839from stable-diffusion-webui-docker.
qyvlik
commented on May 28, 2024
1
See AUTOMATIC1111/stable-diffusion-webui#13847 (comment)
from stable-diffusion-webui-docker.
coopbri
commented on May 28, 2024
1
Thanks all, confirming that updating services/AUTOMATIC1111/Dockerfile to use that commit (4afaaf8) with the httpx pin worked for me.
from stable-diffusion-webui-docker.
cyril23
commented on May 28, 2024
1
Thanks! I can confirm it, too. It works like this, on a fresh Amazon EC2 instance (edit: still using an Amazon g5.xlarge instance (NVIDIA A10G Tensor-Core-GPU) with an EC2 Deep Learning Base GPU AMI (Ubuntu 20.04) 20231026 (ami-0d134e01570c1e7b4) image):
git clone https://github.com/AbdBarho/stable-diffusion-webui-docker.git && \
cd stable-diffusion-webui-docker/ && \
sed -i 's/5ef669de080814067961f28357256e8fe27544f4/4afaaf8a020c1df457bcf7250cb1c7f609699fa7/g' services/AUTOMATIC1111/Dockerfile && \
docker compose --profile download up --build
# Amazon EC2 only: need to login to docker to avoid error "failed to authorize: failed to fetch anonymous token"
aws configure
# enter access token credentials, see AWS iam
aws ecr get-login-password --region {your region, e.g. eu-central-1} | docker login --username AWS --password-stdin {aws domain of that region, e.g. 763104351884.dkr.ecr.eu-central-1.amazonaws.com}
docker compose --profile auto up --build
I left a comment on the related PR here #609 (comment)
I think I can close this here now
from stable-diffusion-webui-docker.
AbdBarho
commented on May 28, 2024
1
Thank you for solving this, and sorry for coming so late to this.
I did some updates in #610. Would be great if anyone could test the new version and re-open this issue if the problem remains.
from stable-diffusion-webui-docker.
coopbri
commented on May 28, 2024
1
Thanks a lot @AbdBarho, testing now :)
EDIT: confirming the PR build works well for me. Also, good catch on other things like the leftover sygil references 🚀
from stable-diffusion-webui-docker.
cyril23
commented on May 28, 2024
thanks for the quick reply!, edit: because of your custom Dockerfile and the requirements_versions.txt you provided, I was able to open the GUI now, but get an error if I do any txt2img or img2img request on the v1-5-pruned-emaonly.ckpt (prompt: happy guy, the rest are stock settings)
webui-docker-auto-1 | Calculating sha256 for /stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt: cc6cb27103417325ff94f52b7a5d2dde45a7515b25c255d8e396c90014281516
webui-docker-auto-1 | Loading weights [cc6cb27103] from /stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
webui-docker-auto-1 | Creating model from config: /stable-diffusion-webui/configs/v1-inference.yaml
webui-docker-auto-1 | LatentDiffusion: Running in eps-prediction mode
webui-docker-auto-1 | DiffusionWrapper has 859.52 M params.
webui-docker-auto-1 | Applying attention optimization: xformers... done.
webui-docker-auto-1 | Model loaded in 1.7s (create model: 0.5s, apply weights to model: 0.7s, apply half(): 0.3s, calculate empty prompt: 0.1s).
0% 0/16 [00:00<?, ?it/s]
webui-docker-auto-1 | *** Error completing request
webui-docker-auto-1 | *** Arguments: ('task(ue0649ifuscybol)', 'happy guy', '', [], 16, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 0, '', '', [], <gradio.routes.Request object at 0x7f67fe8800a0>, 0, 'from modules.processing import process_images\n\np.width = 768\np.height = 768\np.batch_size = 2\np.steps = 10\n\nreturn process_images(p)', 2, False, False, 'positive', 'comma', 0, False, False, '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
webui-docker-auto-1 | Traceback (most recent call last):
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/call_queue.py", line 58, in f
webui-docker-auto-1 | res = list(func(*args, **kwargs))
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/call_queue.py", line 37, in f
webui-docker-auto-1 | res = func(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/txt2img.py", line 62, in txt2img
webui-docker-auto-1 | processed = processing.process_images(p)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/processing.py", line 677, in process_images
webui-docker-auto-1 | res = process_images_inner(p)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/processing.py", line 794, in process_images_inner
webui-docker-auto-1 | 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)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/processing.py", line 1054, in sample
webui-docker-auto-1 | samples = self.sampler.sample(self, x, conditioning, unconditional_conditioning, image_conditioning=self.txt2img_image_conditioning(x))
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 464, in sample
webui-docker-auto-1 | samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 303, in launch_sampling
webui-docker-auto-1 | return func()
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 464, in <lambda>
webui-docker-auto-1 | samples = self.launch_sampling(steps, lambda: self.func(self.model_wrap_cfg, x, extra_args={
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context
webui-docker-auto-1 | return func(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/sampling.py", line 145, in sample_euler_ancestral
webui-docker-auto-1 | denoised = model(x, sigmas[i] * s_in, **extra_args)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 189, in forward
webui-docker-auto-1 | x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(subscript_cond(cond_in, a, b), image_cond_in[a:b]))
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward
webui-docker-auto-1 | eps = self.get_eps(input * c_in, self.sigma_to_t(sigma), **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps
webui-docker-auto-1 | return self.inner_model.apply_model(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in <lambda>
webui-docker-auto-1 | setattr(resolved_obj, func_path[-1], lambda *args, **kwargs: self(*args, **kwargs))
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in __call__
webui-docker-auto-1 | return self.__orig_func(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 858, in apply_model
webui-docker-auto-1 | x_recon = self.model(x_noisy, t, **cond)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1568, in _call_impl
webui-docker-auto-1 | result = forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1329, in forward
webui-docker-auto-1 | out = self.diffusion_model(x, t, context=cc)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_unet.py", line 91, in UNetModel_forward
webui-docker-auto-1 | return ldm.modules.diffusionmodules.openaimodel.copy_of_UNetModel_forward_for_webui(self, x, timesteps, context, *args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 776, in forward
webui-docker-auto-1 | h = module(h, emb, context)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 84, in forward
webui-docker-auto-1 | x = layer(x, context)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 324, in forward
webui-docker-auto-1 | x = block(x, context=context[i])
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 259, in forward
webui-docker-auto-1 | return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 114, in checkpoint
webui-docker-auto-1 | return CheckpointFunction.apply(func, len(inputs), *args)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/autograd/function.py", line 539, in apply
webui-docker-auto-1 | return super().apply(*args, **kwargs) # type: ignore[misc]
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 129, in forward
webui-docker-auto-1 | output_tensors = ctx.run_function(*ctx.input_tensors)
webui-docker-auto-1 | File "/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 262, in _forward
webui-docker-auto-1 | x = self.attn1(self.norm1(x), context=context if self.disable_self_attn else None) + x
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
webui-docker-auto-1 | return self._call_impl(*args, **kwargs)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl
webui-docker-auto-1 | return forward_call(*args, **kwargs)
webui-docker-auto-1 | File "/stable-diffusion-webui/modules/sd_hijack_optimizations.py", line 489, in xformers_attention_forward
webui-docker-auto-1 | out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=None, op=get_xformers_flash_attention_op(q, k, v))
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 192, in memory_efficient_attention
webui-docker-auto-1 | return _memory_efficient_attention(
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 290, in _memory_efficient_attention
webui-docker-auto-1 | return _memory_efficient_attention_forward(
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/xformers/ops/fmha/__init__.py", line 306, in _memory_efficient_attention_forward
webui-docker-auto-1 | op = _dispatch_fw(inp)
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/xformers/ops/fmha/dispatch.py", line 94, in _dispatch_fw
webui-docker-auto-1 | return _run_priority_list(
webui-docker-auto-1 | File "/usr/local/lib/python3.10/site-packages/xformers/ops/fmha/dispatch.py", line 69, in _run_priority_list
webui-docker-auto-1 | raise NotImplementedError(msg)
webui-docker-auto-1 | NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:
webui-docker-auto-1 | query : shape=(1, 4096, 8, 40) (torch.float16)
webui-docker-auto-1 | key : shape=(1, 4096, 8, 40) (torch.float16)
webui-docker-auto-1 | value : shape=(1, 4096, 8, 40) (torch.float16)
webui-docker-auto-1 | attn_bias : <class 'NoneType'>
webui-docker-auto-1 | p : 0.0
webui-docker-auto-1 | `flshattF` is not supported because:
webui-docker-auto-1 | xFormers wasn't build with CUDA support
webui-docker-auto-1 | Operator wasn't built - see `python -m xformers.info` for more info
webui-docker-auto-1 | `tritonflashattF` is not supported because:
webui-docker-auto-1 | xFormers wasn't build with CUDA support
webui-docker-auto-1 | requires A100 GPU
webui-docker-auto-1 | Only work on pre-MLIR triton for now
webui-docker-auto-1 | `cutlassF` is not supported because:
webui-docker-auto-1 | xFormers wasn't build with CUDA support
webui-docker-auto-1 | Operator wasn't built - see `python -m xformers.info` for more info
webui-docker-auto-1 | `smallkF` is not supported because:
webui-docker-auto-1 | xFormers wasn't build with CUDA support
webui-docker-auto-1 | dtype=torch.float16 (supported: {torch.float32})
webui-docker-auto-1 | max(query.shape[-1] != value.shape[-1]) > 32
webui-docker-auto-1 | Operator wasn't built - see `python -m xformers.info` for more info
webui-docker-auto-1 | unsupported embed per head: 40
webui-docker-auto-1 |
webui-docker-auto-1 | ---
During startup I see a warning too:
~/stable-diffusion-webui-docker$ docker compose --profile auto up --build
[+] Building 1.0s (34/34) FINISHED docker:default
=> [auto internal] load build definition from Dockerfile 0.0s
=> => transferring dockerfile: 4.43kB 0.0s
=> [auto internal] load .dockerignore 0.0s
=> => transferring context: 2B 0.0s
=> [auto internal] load metadata for docker.io/library/alpine:3.17 0.9s
=> [auto internal] load metadata for docker.io/library/python:3.10.13-slim 0.9s
=> [auto internal] load metadata for docker.io/alpine/git:2.36.2 0.9s
=> [auto download 1/9] FROM docker.io/alpine/git:2.36.2@sha256:ec491c893597b68c92b88023827faa771772cfd5e106b76c713fa5e1c75dea84 0.0s
=> [auto internal] load build context 0.0s
=> => transferring context: 194B 0.0s
=> [auto stage-2 1/15] FROM docker.io/library/python:3.10.13-slim@sha256:3c9182c6498d7de6044be04fb1785ba3a04f953d515d45e5007e8be1c15fdd34 0.0s
=> [auto xformers 1/3] FROM docker.io/library/alpine:3.17@sha256:f71a5f071694a785e064f05fed657bf8277f1b2113a8ed70c90ad486d6ee54dc 0.0s
=> CACHED [auto stage-2 2/15] RUN --mount=type=cache,target=/var/cache/apt apt-get update && apt-get install -y fonts-dejavu-core rsync gi 0.0s
=> CACHED [auto stage-2 3/15] RUN --mount=type=cache,target=/cache --mount=type=cache,target=/root/.cache/pip aria2c -x 5 --dir /cache --out 0.0s
=> CACHED [auto stage-2 4/15] COPY requirements_versions.txt /requirements_versions.txt 0.0s
=> CACHED [auto stage-2 5/15] RUN --mount=type=cache,target=/root/.cache/pip git clone https://github.com/AUTOMATIC1111/stable-diffusion-web 0.0s
=> CACHED [auto xformers 2/3] RUN apk add --no-cache aria2 0.0s
=> CACHED [auto xformers 3/3] RUN aria2c -x 5 --dir / --out wheel.whl 'https://github.com/AbdBarho/stable-diffusion-webui-docker/releases/downl 0.0s
=> CACHED [auto stage-2 6/15] RUN --mount=type=cache,target=/root/.cache/pip --mount=type=bind,from=xformers,source=/wheel.whl,target=/xfor 0.0s
=> CACHED [auto download 2/9] COPY clone.sh /clone.sh 0.0s
=> CACHED [auto download 3/9] RUN . /clone.sh taming-transformers https://github.com/CompVis/taming-transformers.git 24268930bf1dce879235a7fddd 0.0s
=> CACHED [auto download 4/9] RUN . /clone.sh stable-diffusion-stability-ai https://github.com/Stability-AI/stablediffusion.git 47b6b607fdd3187 0.0s
=> CACHED [auto download 5/9] RUN . /clone.sh CodeFormer https://github.com/sczhou/CodeFormer.git c5b4593074ba6214284d6acd5f1719b6c5d739af && 0.0s
=> CACHED [auto download 6/9] RUN . /clone.sh BLIP https://github.com/salesforce/BLIP.git 48211a1594f1321b00f14c9f7a5b4813144b2fb9 0.0s
=> CACHED [auto download 7/9] RUN . /clone.sh k-diffusion https://github.com/crowsonkb/k-diffusion.git c9fe758757e022f05ca5a53fa8fac28889e4f1cf 0.0s
=> CACHED [auto download 8/9] RUN . /clone.sh clip-interrogator https://github.com/pharmapsychotic/clip-interrogator 2486589f24165c8e3b303f84e9 0.0s
=> CACHED [auto download 9/9] RUN . /clone.sh generative-models https://github.com/Stability-AI/generative-models 45c443b316737a4ab6e40413d7794 0.0s
=> CACHED [auto stage-2 7/15] COPY --from=download /repositories/ /stable-diffusion-webui/repositories/ 0.0s
=> CACHED [auto stage-2 8/15] RUN mkdir /stable-diffusion-webui/interrogate && cp /stable-diffusion-webui/repositories/clip-interrogator/data/ 0.0s
=> CACHED [auto stage-2 9/15] RUN --mount=type=cache,target=/root/.cache/pip pip install -r /stable-diffusion-webui/repositories/CodeFormer/ 0.0s
=> CACHED [auto stage-2 10/15] RUN --mount=type=cache,target=/root/.cache/pip pip install pyngrok git+https://github.com/TencentARC/GFPGAN. 0.0s
=> CACHED [auto stage-2 11/15] RUN apt-get -y install libgoogle-perftools-dev && apt-get clean 0.0s
=> CACHED [auto stage-2 12/15] RUN --mount=type=cache,target=/root/.cache/pip cd stable-diffusion-webui && git fetch && git reset --hard 0.0s
=> CACHED [auto stage-2 13/15] COPY . /docker 0.0s
=> CACHED [auto stage-2 14/15] RUN python3 /docker/info.py /stable-diffusion-webui/modules/ui.py && mv /stable-diffusion-webui/style.css /s 0.0s
=> CACHED [auto stage-2 15/15] WORKDIR /stable-diffusion-webui 0.0s
=> [auto] exporting to image 0.0s
=> => exporting layers 0.0s
=> => writing image sha256:466f66db6474ac74079e4ab400e19cf6a7a3ced30c9200047ddde59f42f440f1 0.0s
=> => naming to docker.io/library/sd-auto:67 0.0s
[+] Running 1/0
✔ Container webui-docker-auto-1 Created 0.0s
Attaching to webui-docker-auto-1
webui-docker-auto-1 | Mounted .cache
webui-docker-auto-1 | Mounted config_states
webui-docker-auto-1 | Mounted .cache
webui-docker-auto-1 | Mounted embeddings
webui-docker-auto-1 | Mounted config.json
webui-docker-auto-1 | Mounted models
webui-docker-auto-1 | Mounted styles.csv
webui-docker-auto-1 | Mounted ui-config.json
webui-docker-auto-1 | Mounted extensions
webui-docker-auto-1 | Installing extension dependencies (if any)
webui-docker-auto-1 | WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
webui-docker-auto-1 | PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.1.0+cu121)
webui-docker-auto-1 | Python 3.10.11 (you have 3.10.13)
webui-docker-auto-1 | Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
webui-docker-auto-1 | Memory-efficient attention, SwiGLU, sparse and more won't be available.
webui-docker-auto-1 | Set XFORMERS_MORE_DETAILS=1 for more details
webui-docker-auto-1 | Loading weights [cc6cb27103] from /stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt
webui-docker-auto-1 | Running on local URL: http://0.0.0.0:7860
webui-docker-auto-1 |
webui-docker-auto-1 | To create a public link, set `share=True` in `launch()`.
webui-docker-auto-1 | Startup time: 13.2s (import torch: 6.3s, import gradio: 1.2s, setup paths: 2.9s, other imports: 1.2s, setup codeformer: 0.1s, load scripts: 0.5s, create ui: 0.7s, gradio launch: 0.1s, add APIs: 0.1s).
webui-docker-auto-1 | Creating model from config: /stable-diffusion-webui/configs/v1-inference.yaml
webui-docker-auto-1 | LatentDiffusion: Running in eps-prediction mode
webui-docker-auto-1 | DiffusionWrapper has 859.52 M params.
webui-docker-auto-1 | Applying attention optimization: xformers... done.
webui-docker-auto-1 | Model loaded in 11.5s (load weights from disk: 9.6s, create model: 0.5s, apply weights to model: 0.6s, apply half(): 0.2s, calculate empty prompt: 0.5s).
(edit: removed duplicate citations)
There are some issues about this:
- AUTOMATIC1111/stable-diffusion-webui#6871
- AUTOMATIC1111/stable-diffusion-webui#7973
- AUTOMATIC1111/stable-diffusion-webui#10429
- AUTOMATIC1111/stable-diffusion-webui#11905
- https://www.reddit.com/r/StableDiffusion/comments/134z26p/xformers/
- https://huggingface.co/CompVis/stable-diffusion-safety-checker/discussions/38
Maybe my CUDA 121 (or CUDA Version: 12.2 according to nvidia-smi) or my PyTorch version is too new?
According to https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers I can try to run SD without xformers as it only seems to be a performance enhancement.
I've disabled xformers by editing docker-compose.yml and removing --xformers from the line here
Now text2img, img2img etc. fully work! Not sure if I should open a new issue for this, since I'm running your customized Dockerfile
from stable-diffusion-webui-docker.
horoabb
commented on May 28, 2024
I updated to the latest version, but the same error still occurs."
#TypeError: AsyncConnectionPool.init() got an unexpected keyword argument 'socket_options
from stable-diffusion-webui-docker.
Related Issues (20)
- rsync: chown "/data/models/VAE-approx/.model.pt.pA3bXk" failed: Operation not permitted (1) HOT 1
- OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'. HOT 6
- Taking up 16 GB of Ram on startup - automatically renders maybe? HOT 5
- Undefined Symbol Error HOT 3
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- use AnimateDiff mportError: cannot import name 'animatediff_i2ibatch
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- ComfyUI Out of Date HOT 3
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