Solving environment: failed ResolvePackageNotFound: - xformers about animatediff HOT 14 OPEN

Unfortunately, this also replaces pytorch with the 2.0.1+cpu version, after which it proceeds to say that this version is incompatible with the current xformers installation because the cuda version is required. And it looks like tis repo uses the 1.12.1 version of torch, so neither is correct. What is the compatible xformers version for this version of pytorch? I've been figting with conda and pip for 3 hours. I would very much appreciate if someone more knowledgeable could kindly provide updated instructions on installing the requirements. WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)
My best attempt was installing torch 2.0.1 with cuda: pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 Then install the latest xformers without the dependencies, so it wouldn't replace the torch with the cpu version: pip install xformers --no-deps Then it gives me an error: Error caught was: No module named 'triton'
I also tried keeping torch 1.12.1 and installing xformers 0.0.16, but it required 1.12.1, the previous versions, 0.0.13 and 0.0.12 just failed to install via pip.

Finally got this working! Windows 11 here with a 3090 and a total noob with Python.

Not sure which one of this did it, but:

Installed Torch 1.13.1+cu117

pip install torch==1.13.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117

Was getting the same error you got, and installed triton manually, downloaded from here:

https://cdn-lfs.huggingface.co/repos/67/d8/67d8d3794e8867d8cc3b6339a66747ce451a233ea604578bba1e2cbf541c42d9/91a6ec395022743269c942df7af01b210f642fb633d146a811be05a455adbae2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27triton-2.0.0-cp310-cp310-win_amd64.whl%3B+filename%3D%22triton-2.0.0-cp310-cp310-win_amd64.whl%22%3B&Expires=1689728222&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY4OTcyODIyMn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82Ny9kOC82N2Q4ZDM3OTRlODg2N2Q4Y2MzYjYzMzlhNjY3NDdjZTQ1MWEyMzNlYTYwNDU3OGJiYTFlMmNiZjU0MWM0MmQ5LzkxYTZlYzM5NTAyMjc0MzI2OWM5NDJkZjdhZjAxYjIxMGY2NDJmYjYzM2QxNDZhODExYmUwNWE0NTVhZGJhZTI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=V5r1FeUWxyWNLpGlnvpQffYPxJTSl3fl4Re3EzIam5crcNeMj6eUlM5L%7E0gRKpRG8mYUK8dRVeOC9836beqIIdUEyLlGCdAkVyfF2kfuWwpEP%7E5smqZ-Dc9Hw5JGb%7EP69xNnA1VG3OfVesHPgM1wkVUuUoOaPf1fchS0jEr4NZBv7E8NX-%7ENwnF2mBrr%7E2sRvy1mMB1igN9vSKtxsmZtsHd0JZB1nvWZpYXftBtGUnV6NlFMeCXuxS97tmTRFqG%7EEhEtjCu6dpkYMgnwa2ZWGgfVJm1zQ9r5kpkFkAGDOKEfI33CNR4bZRMC5MT53yesDYqYSagwIegnJwU9sHj71w__&Key-Pair-Id=KVTP0A1DKRTAX

Installed it with pip install <path to the downloaded whl>

Then got another error with Torchivision, but managed to solve it via installing Torchvision 0.14.1

pip install torchvision==0.14.1

After all of this, kept getting errors but it was just that I got impatient and didn't checkout stable diffusion as instructed.

With all of this, finally got it working.

Thank you,according to your method i run successfully.I installed xformers manually, using pip install xformers==0.0.16 --no-dependencies,then do the same as you,finally it got working, report no error.

from animatediff.

here is the steps work for me(windows 11):

1. remove xformers from environment.yaml
2. conda env create -f environment.yaml create conda environment with other dependencies.
3. conda activate animatediff enable environment.
4. download xformers offline package from https://anaconda.org/xformers/xformers/files, with pytorch1.12.1 and cuda11.3, the package should be xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2.
5. install offline package with command conda install --use-local xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2

if there is some other dependency error, install them with pip

I'm not an expert with environments in Conda. But won't this mess up xformers and pytorch for my default environment? Or will it only affect the animatediff one?

Also. does it not matter that these are Linux packages?

It won't effect your default environment even setup python version same as your system python version.

from animatediff.

remove xformers from channels and manually run pip install xformers

from animatediff.

Unfortunately, this also replaces pytorch with the 2.0.1+cpu version, after which it proceeds to say that this version is incompatible with the current xformers installation because the cuda version is required. And it looks like tis repo uses the 1.12.1 version of torch, so neither is correct. What is the compatible xformers version for this version of pytorch? I've been figting with conda and pip for 3 hours. I would very much appreciate if someone more knowledgeable could kindly provide updated instructions on installing the requirements.
WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)

My best attempt was installing torch 2.0.1 with cuda:
pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118
Then install the latest xformers without the dependencies, so it wouldn't replace the torch with the cpu version:
pip install xformers --no-deps
Then it gives me an error:
Error caught was: No module named 'triton'

I also tried keeping torch 1.12.1 and installing xformers 0.0.16, but it required 1.12.1, the previous versions, 0.0.13 and 0.0.12 just failed to install via pip.

from animatediff.

Same issue here, installation instructions seem a bit incomplete!

from animatediff.

Unfortunately, this also replaces pytorch with the 2.0.1+cpu version, after which it proceeds to say that this version is incompatible with the current xformers installation because the cuda version is required. And it looks like tis repo uses the 1.12.1 version of torch, so neither is correct. What is the compatible xformers version for this version of pytorch? I've been figting with conda and pip for 3 hours. I would very much appreciate if someone more knowledgeable could kindly provide updated instructions on installing the requirements. WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)

My best attempt was installing torch 2.0.1 with cuda: pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 Then install the latest xformers without the dependencies, so it wouldn't replace the torch with the cpu version: pip install xformers --no-deps Then it gives me an error: Error caught was: No module named 'triton'

I also tried keeping torch 1.12.1 and installing xformers 0.0.16, but it required 1.12.1, the previous versions, 0.0.13 and 0.0.12 just failed to install via pip.

Finally got this working! Windows 11 here with a 3090 and a total noob with Python.

Not sure which one of this did it, but:

Installed Torch 1.13.1+cu117

pip install torch==1.13.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117

Was getting the same error you got, and installed triton manually, downloaded from here:

https://cdn-lfs.huggingface.co/repos/67/d8/67d8d3794e8867d8cc3b6339a66747ce451a233ea604578bba1e2cbf541c42d9/91a6ec395022743269c942df7af01b210f642fb633d146a811be05a455adbae2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27triton-2.0.0-cp310-cp310-win_amd64.whl%3B+filename%3D%22triton-2.0.0-cp310-cp310-win_amd64.whl%22%3B&Expires=1689728222&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY4OTcyODIyMn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82Ny9kOC82N2Q4ZDM3OTRlODg2N2Q4Y2MzYjYzMzlhNjY3NDdjZTQ1MWEyMzNlYTYwNDU3OGJiYTFlMmNiZjU0MWM0MmQ5LzkxYTZlYzM5NTAyMjc0MzI2OWM5NDJkZjdhZjAxYjIxMGY2NDJmYjYzM2QxNDZhODExYmUwNWE0NTVhZGJhZTI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=V5r1FeUWxyWNLpGlnvpQffYPxJTSl3fl4Re3EzIam5crcNeMj6eUlM5L%7E0gRKpRG8mYUK8dRVeOC9836beqIIdUEyLlGCdAkVyfF2kfuWwpEP%7E5smqZ-Dc9Hw5JGb%7EP69xNnA1VG3OfVesHPgM1wkVUuUoOaPf1fchS0jEr4NZBv7E8NX-%7ENwnF2mBrr%7E2sRvy1mMB1igN9vSKtxsmZtsHd0JZB1nvWZpYXftBtGUnV6NlFMeCXuxS97tmTRFqG%7EEhEtjCu6dpkYMgnwa2ZWGgfVJm1zQ9r5kpkFkAGDOKEfI33CNR4bZRMC5MT53yesDYqYSagwIegnJwU9sHj71w__&Key-Pair-Id=KVTP0A1DKRTAX

Installed it with pip install <path to the downloaded whl>

Then got another error with Torchivision, but managed to solve it via installing Torchvision 0.14.1

pip install torchvision==0.14.1

After all of this, kept getting errors but it was just that I got impatient and didn't checkout stable diffusion as instructed.

With all of this, finally got it working.

from animatediff.

I just thought I'd put how I installed xformers here, as resolving the xformers dependency is initially confusing on windows, because conda doesn't have an xformers package, and not everyone wants wsl:

https://anaconda.org/xformers/xformers

So, first run your conda / miniconda prompt, and put:

python -m xformers.info

For me I saw something like this like this:

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)
Python 3.10.11 (you have 3.10.9)
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

The next step I tried was was to use this page https://pytorch.org/get-started/locally/ which for pip gave me:

pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

And then running python -m xformers.info again, everything looked fine, but it still threw an error because pytorch only had cpu support, not gpu extensions. So don't use this. Then from inside a conda prompt (but no activated environment), I tried:

conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

which actually wanted to downgrade a lot of my packages from 12.2 to 11.8, but "working" is better than "latest" even if it breaks something else. After this:

python -m xformers.info

Everything looks fine again with xformers 0.0.20 and cuda/gpu even without triton. So next I ran the animatediff step conda env create -f environment.yaml and I still got

ResolvePackageNotFound:

• xformers

So then conda activate animatediff and run:

pip install -U xformers

Anyway, this doesn't work either, same error as before.

So, the solution was then from inside your animatediff activated conda, run the same thing again:

conda install pytorch torchvision torchaudio pytorch-cuda=11.8 -c pytorch -c nvidia

Which will go much quicker second time around, and then animatediff will work!

from animatediff.

Unfortunately, this also replaces pytorch with the 2.0.1+cpu version, after which it proceeds to say that this version is incompatible with the current xformers installation because the cuda version is required. And it looks like tis repo uses the 1.12.1 version of torch, so neither is correct. What is the compatible xformers version for this version of pytorch? I've been figting with conda and pip for 3 hours. I would very much appreciate if someone more knowledgeable could kindly provide updated instructions on installing the requirements. WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for: PyTorch 2.0.1+cu118 with CUDA 1108 (you have 2.0.1+cpu)
My best attempt was installing torch 2.0.1 with cuda: pip install torch==2.0.1+cu118 torchvision==0.15.2+cu118 --extra-index-url https://download.pytorch.org/whl/cu118 Then install the latest xformers without the dependencies, so it wouldn't replace the torch with the cpu version: pip install xformers --no-deps Then it gives me an error: Error caught was: No module named 'triton'
I also tried keeping torch 1.12.1 and installing xformers 0.0.16, but it required 1.12.1, the previous versions, 0.0.13 and 0.0.12 just failed to install via pip.

Finally got this working! Windows 11 here with a 3090 and a total noob with Python.
Not sure which one of this did it, but:
Installed Torch 1.13.1+cu117
pip install torch==1.13.1+cu117 --extra-index-url https://download.pytorch.org/whl/cu117
Was getting the same error you got, and installed triton manually, downloaded from here:
https://cdn-lfs.huggingface.co/repos/67/d8/67d8d3794e8867d8cc3b6339a66747ce451a233ea604578bba1e2cbf541c42d9/91a6ec395022743269c942df7af01b210f642fb633d146a811be05a455adbae2?response-content-disposition=attachment%3B+filename*%3DUTF-8%27%27triton-2.0.0-cp310-cp310-win_amd64.whl%3B+filename%3D%22triton-2.0.0-cp310-cp310-win_amd64.whl%22%3B&Expires=1689728222&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTY4OTcyODIyMn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5odWdnaW5nZmFjZS5jby9yZXBvcy82Ny9kOC82N2Q4ZDM3OTRlODg2N2Q4Y2MzYjYzMzlhNjY3NDdjZTQ1MWEyMzNlYTYwNDU3OGJiYTFlMmNiZjU0MWM0MmQ5LzkxYTZlYzM5NTAyMjc0MzI2OWM5NDJkZjdhZjAxYjIxMGY2NDJmYjYzM2QxNDZhODExYmUwNWE0NTVhZGJhZTI%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=V5r1FeUWxyWNLpGlnvpQffYPxJTSl3fl4Re3EzIam5crcNeMj6eUlM5L%7E0gRKpRG8mYUK8dRVeOC9836beqIIdUEyLlGCdAkVyfF2kfuWwpEP%7E5smqZ-Dc9Hw5JGb%7EP69xNnA1VG3OfVesHPgM1wkVUuUoOaPf1fchS0jEr4NZBv7E8NX-%7ENwnF2mBrr%7E2sRvy1mMB1igN9vSKtxsmZtsHd0JZB1nvWZpYXftBtGUnV6NlFMeCXuxS97tmTRFqG%7EEhEtjCu6dpkYMgnwa2ZWGgfVJm1zQ9r5kpkFkAGDOKEfI33CNR4bZRMC5MT53yesDYqYSagwIegnJwU9sHj71w__&Key-Pair-Id=KVTP0A1DKRTAX
Installed it with pip install <path to the downloaded whl>
Then got another error with Torchivision, but managed to solve it via installing Torchvision 0.14.1
pip install torchvision==0.14.1
After all of this, kept getting errors but it was just that I got impatient and didn't checkout stable diffusion as instructed.
With all of this, finally got it working.

Thank you,according to your method i run successfully.I installed xformers manually, using pip install xformers==0.0.16 --no-dependencies,then do the same as you,finally it got working, report no error.

我最终可以成功运行，但是遇到了新的报错，不知道你们是不是忽略了，还是只有我遇到了，因为它不影响生成 gif 图片，报错内容如下：

I can finally run it successfully, but I encountered a new error report. I don’t know if you have ignored it, or I am the only one who encountered it, because it does not affect the generation of gif images. The content of the error report is as follows:

(animatediff) C:\Users\Administrator\AnimateDiff>python -m scripts.animate --config configs/prompts/baijin.yaml
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: DLL load failed while importing libtriton: 找不到指定的模块。

我不知道什么原因，我的情况是这样

I don't know why, my situation is like this

from animatediff.

here is the steps work for me(windows 11):

1. remove xformers from environment.yaml
2. conda env create -f environment.yaml create conda environment with other dependencies.
3. conda activate animatediff enable environment.
4. download xformers offline package from https://anaconda.org/xformers/xformers/files, with pytorch1.12.1 and cuda11.3, the package should be xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2.
5. install offline package with command conda install --use-local xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2

if there is some other dependency error, install them with pip

from animatediff.

here is the steps work for me(windows 11):

1. remove xformers from environment.yaml
2. conda env create -f environment.yaml create conda environment with other dependencies.
3. conda activate animatediff enable environment.
4. download xformers offline package from https://anaconda.org/xformers/xformers/files, with pytorch1.12.1 and cuda11.3, the package should be xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2.
5. install offline package with command conda install --use-local xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2

if there is some other dependency error, install them with pip

I'm not an expert with environments in Conda. But won't this mess up xformers and pytorch for my default environment? Or will it only affect the animatediff one?

Also. does it not matter that these are Linux packages?

from animatediff.

I tested the following environment.yaml on a Windows PC with a 3090, and it got working with no error. Let me know if it works for you.

name: animatediff
channels:
  - pytorch
  - nvidia
dependencies:
  - python=3.10
  - pytorch=1.13.1
  - torchvision=0.14.1
  - torchaudio=0.13.1
  - pytorch-cuda=11.7
  - pip
  - pip:
    - diffusers==0.11.1
    - transformers==4.25.1
    - xformers==0.0.16
    - imageio==2.27.0
    - gdown
    - einops
    - omegaconf
    - safetensors
    - gradio

from animatediff.

I tested the following environment.yaml on a Windows PC with a 3090, and it got working with no error. Let me know if it works for you.

name: animatediff
channels:
  - pytorch
  - nvidia
dependencies:
  - python=3.10
  - pytorch=1.13.1
  - torchvision=0.14.1
  - torchaudio=0.13.1
  - pytorch-cuda=11.7
  - pip
  - pip:
    - diffusers==0.11.1
    - transformers==4.25.1
    - xformers==0.0.16
    - imageio==2.27.0
    - gdown
    - einops
    - omegaconf
    - safetensors
    - gradio

I've got below error message when run by gradio!
Please check this!

=============================================
(animatediff) C:\Users\USER\Documents\AnimateDiff>python app.py
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
C:\Users\USER\Documents\AnimateDiff\app.py:283: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead.
with gr.Row().style(equal_height=False):
Running on local URL: http://127.0.0.1:7860
Running on public URL: https://fe04b4faa37389547f.gradio.live

from animatediff.

I tested the following environment.yaml on a Windows PC with a 3090, and it got working with no error. Let me know if it works for you.

name: animatediff
channels:
  - pytorch
  - nvidia
dependencies:
  - python=3.10
  - pytorch=1.13.1
  - torchvision=0.14.1
  - torchaudio=0.13.1
  - pytorch-cuda=11.7
  - pip
  - pip:
    - diffusers==0.11.1
    - transformers==4.25.1
    - xformers==0.0.16
    - imageio==2.27.0
    - gdown
    - einops
    - omegaconf
    - safetensors
    - gradio

I've got below error message when run by gradio! Please check this!

============================================= (animatediff) C:\Users\USER\Documents\AnimateDiff>python app.py A matching Triton is not available, some optimizations will not be enabled. Error caught was: No module named 'triton' C:\Users\USER\Documents\AnimateDiff\app.py:283: GradioDeprecationWarning: The style method is deprecated. Please set these arguments in the constructor instead. with gr.Row().style(equal_height=False): Running on local URL: http://127.0.0.1:7860 Running on public URL: https://fe04b4faa37389547f.gradio.live

Just run pip install triton to fix that problem.

from animatediff.

here is the steps work for me(windows 11):

1. remove xformers from environment.yaml
2. conda env create -f environment.yaml create conda environment with other dependencies.
3. conda activate animatediff enable environment.
4. download xformers offline package from https://anaconda.org/xformers/xformers/files, with pytorch1.12.1 and cuda11.3, the package should be xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2.
5. install offline package with command conda install --use-local xformers-0.0.16-py310_cu11.3_pyt1.12.1.tar.bz2

if there is some other dependency error, install them with pip

Thank you, this is very useful

from animatediff.