Open CHAMYJ opened 8 months ago
I have the same problem, have you solved it yet?
same here after updating
Hi, I managed to solve it by updating the version of automatic1111 web UI from 1.6.0 to 1.8.0.
my webui is 1.8.0, still has the problem
update was-node-suite-comfyui to latest version, can fix it.
still not fixed in A1111
Still doesn't work
still not fixed in A1111
I've been running into this too. No way to get it to work.
I have the same problem,it doesn't work
I managed to solve it changing the Context batch size to 2 or 1, but... the result is crap.
Has anybody tried to crate issue in stable-diffusion-webui repo? Looks like this repo is dead
there's a new player in town - https://www.mmlab-ntu.com/project/fresco/
same problem here...
Solved with bringing einops lib to 0.7.0
Solved with bringing einops lib to 0.7.0
I tried this and its still giving the same error
Same problem. If i set Batch Size on 8 and Context batch size in AnimateDiff I get this noise
Same problem! solved it yet?
Dont know, why my solution does not work for you. Here is my package list: "Packages": [ "absl-py==2.1.0", "accelerate==0.21.0", "aenum==3.1.15", "aiofiles==23.2.1", "aiohttp==3.9.3", "aiosignal==1.3.1", "albumentations==1.4.2", "altair==5.2.0", "antlr4-python3-runtime==4.9.3", "anyio==3.7.1", "asttokens==2.4.1", "async-timeout==4.0.3", "attrs==23.2.0", "av==12.0.0", "beautifulsoup4==4.12.3", "bitsandbytes==0.43.0", "blendmodes==2022", "blobfile==2.1.1", "cachetools==5.3.3", "certifi==2024.2.2", "cffi==1.16.0", "chardet==5.2.0", "charset-normalizer==3.3.2", "clean-fid==0.1.35", "click==8.1.7", "clip==1.0", "coloredlogs==15.0.1", "colorlog==6.8.2", "comm==0.2.2", "contourpy==1.2.0", "coverage==7.4.4", "cssselect2==0.7.0", "cycler==0.12.1", "cython==3.0.9", "dadaptation==3.2", "decorator==4.4.2", "deprecation==2.1.0", "depth-anything==2024.1.22.0", "diffusers==0.27.2", "discord-webhook==1.3.0", "dsine==2024.3.23", "easydict==1.13", "einops==0.4.1", "embreex==2.17.7.post4", "exceptiongroup==1.2.0", "executing==2.0.1", "facexlib==0.3.0", "fastapi==0.94.0", "ffmpy==0.3.2", "filelock==3.13.3", "filterpy==1.4.5", "flatbuffers==24.3.25", "fonttools==4.50.0", "freetype-py==2.4.0", "frozenlist==1.4.1", "fsspec==2024.3.1", "ftfy==6.2.0", "fvcore==0.1.5.post20221221", "gdown==5.1.0", "geffnet==1.0.2", "gitdb==4.0.11", "gitpython==3.1.42", "glob2==0.5", "google-auth-oauthlib==1.0.0", "google-auth==2.29.0", "gradio-client==0.5.0", "gradio==3.41.2", "grpcio==1.62.1", "h11==0.12.0", "handrefinerportable==2024.2.12.0", "hsluv==5.0.4", "httpcore==0.15.0", "httpx==0.24.1", "huggingface-hub==0.22.1", "humanfriendly==10.0", "idna==3.6", "imageio-ffmpeg==0.4.9", "imageio==2.34.0", "importlib-metadata==7.1.0", "importlib-resources==6.4.0", "inflection==0.5.1", "iniconfig==2.0.0", "insightface==0.7.3", "iopath==0.1.9", "ipython==8.22.2", "ipywidgets==8.1.2", "jax==0.4.25", "jaxlib==0.4.25", "jedi==0.19.1", "jinja2==3.1.3", "joblib==1.3.2", "jsonmerge==1.8.0", "jsonschema-specifications==2023.12.1", "jsonschema==4.21.1", "jupyterlab-widgets==3.0.10", "kiwisolver==1.4.5", "kornia==0.6.7", "lark==1.1.2", "lazy-loader==0.3", "lightning-utilities==0.11.2", "llvmlite==0.42.0", "lxml==4.9.4", "mapbox-earcut==1.0.1", "markdown-it-py==3.0.0", "markdown==3.6", "markupsafe==2.1.5", "matplotlib-inline==0.1.6", "matplotlib==3.8.3", "mdurl==0.1.2", "mediapipe==0.10.11", "ml-dtypes==0.3.2", "moviepy==1.0.3", "mpmath==1.3.0", "multidict==6.0.5", "networkx==3.2.1", "numba==0.59.1", "numexpr==2.9.0", "numpy==1.26.2", "oauthlib==3.2.2", "omegaconf==2.2.3", "onnx==1.16.0", "onnxruntime-gpu==1.17.1", "open-clip-torch==2.20.0", "opencv-contrib-python==4.9.0.80", "opencv-python-headless==4.9.0.80", "opencv-python==4.9.0.80", "opt-einsum==3.3.0", "orjson==3.10.0", "packaging==24.0", "pandas==2.2.1", "parso==0.8.3", "pexpect==4.9.0", "piexif==1.1.3", "pillow==9.5.0", "pims==0.6.1", "pip==24.0", "platformdirs==4.2.0", "pluggy==1.4.0", "pooch==1.8.1", "portalocker==2.8.2", "prettytable==3.10.0", "proglog==0.1.10", "prompt-toolkit==3.0.43", "protobuf==3.20.3", "psutil==5.9.5", "ptyprocess==0.7.0", "pure-eval==0.2.2", "pyasn1-modules==0.4.0", "pyasn1==0.6.0", "pycollada==0.8", "pycparser==2.21", "pycryptodomex==3.20.0", "pydantic-requests==0.1.4", "pydantic==1.10.14", "pydub==0.25.1", "pygments==2.17.2", "pymatting==1.1.12", "pyparsing==3.1.2", "pyqt5-qt5==5.15.2", "pyqt5-sip==12.13.0", "pyqt5==5.15.10", "pyqt6-qt6==6.6.2", "pyqt6-sip==13.6.0", "pyqt6==6.6.1", "pysocks==1.7.1", "pytest==8.1.1", "python-dateutil==2.9.0.post0", "python-multipart==0.0.9", "pytorch-lightning==1.9.4", "pytorch-optimizer==2.12.0", "pytz==2024.1", "pywavelets==1.5.0", "pyyaml==6.0.1", "referencing==0.34.0", "regex==2023.12.25", "rembg==2.0.56", "reportlab==4.1.0", "requests-oauthlib==2.0.0", "requests==2.31.0", "resize-right==0.0.2", "rich==13.7.1", "rpds-py==0.18.0", "rsa==4.9", "rtree==1.2.0", "safetensors==0.4.2", "scikit-image==0.21.0", "scikit-learn==1.4.1.post1", "scipy==1.12.0", "semantic-version==2.10.0", "sentencepiece==0.2.0", "setuptools==69.2.0", "shapely==2.0.3", "six==1.16.0", "slicerator==1.1.0", "smmap==5.0.1", "sniffio==1.3.1", "sounddevice==0.4.6", "soupsieve==2.5", "spandrel==0.1.6", "stack-data==0.6.3", "starlette==0.26.1", "svg.path==6.3", "svglib==1.5.1", "sympy==1.12", "syrupy==4.6.1", "tabulate==0.9.0", "tenacity==8.2.3", "tensorboard-data-server==0.7.2", "tensorboard==2.13.0", "termcolor==2.4.0", "threadpoolctl==3.4.0", "tifffile==2024.2.12", "timm==0.9.16", "tinycss2==1.2.1", "tokenizers==0.13.3", "tomesd==0.1.3", "tomli==2.0.1", "toolz==0.12.1", "torch==2.1.2+cu121", "torchdiffeq==0.2.3", "torchmetrics==1.3.2", "torchsde==0.2.6", "torchvision==0.16.2+cu121", "tqdm==4.66.2", "traitlets==5.14.2", "trampoline==0.1.2", "transformers==4.30.2", "transforms3d==0.4.1", "trimesh==4.2.2", "triton==2.1.0", "typing-extensions==4.10.0", "tzdata==2024.1", "urllib3==2.2.1", "uvicorn==0.29.0", "vhacdx==0.0.6", "vispy==0.14.2", "wcwidth==0.2.13", "webencodings==0.5.1", "websockets==11.0.3", "werkzeug==3.0.1", "wheel==0.43.0", "widgetsnbextension==4.0.10", "xatlas==0.0.9", "xformers==0.0.23.post1", "xxhash==3.4.1", "yacs==0.1.8", "yarl==1.9.4", "zipp==3.18.1" ]
Solved with bringing einops lib to 0.7.0
How do you do this?
i worked with visual code and the python extension. Then i chanced the version of einops and all was working. But after copy my version list today i see, actually i got version "einops==0.4.1". So, to be honest, im not really understand, how i solved the bug... Im sorry to bee to much noob, to explain it better
Hi, I am encountered this issue: EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 8040, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16
Please guide me to solve this issue. I installed animateDiff extension from automatic1111, using this link (https://github.com/continue-revolution/sd-webui-animatediff). I am running it on Windows and using RTX4080.
Error Message:
r_webui(self, x, timesteps, context, *args, kwargs) File "C:\Users\User\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward h = module(h, emb, context) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "C:\Users\User\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 86, in forward x = layer(x) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 132, in forward return self.temporal_transformer(x) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 190, in forward hidden_states = block(hidden_states) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 244, in forward hidden_states = attention_block(norm_hidden_states) + hidden_states File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 333, in forward x = rearrange(x, "(b f) d c -> (b d) f c", f=video_length) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py", line 487, in rearrange return reduce(tensor, pattern, reduction='rearrange', **axes_lengths) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py", line 418, in reduce raise EinopsError(message + '\n {}'.format(e)) einops.EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 8040, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16
i solved it by update the version of SDWEBUI to 1.8.0, good luck, bro
pip install einops SDWEBUI to 1.8.0
Solved with bringing einops lib to 0.7.0
0.8.0 ,same too
Hi, I am encountered this issue: EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 8040, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16
Please guide me to solve this issue. I installed animateDiff extension from automatic1111, using this link (https://github.com/continue-revolution/sd-webui-animatediff). I am running it on Windows and using RTX4080.
Error Message:
r_webui(self, x, timesteps, context, *args, kwargs) File "C:\Users\User\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward h = module(h, emb, context) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "C:\Users\User\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 86, in forward x = layer(x) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 132, in forward return self.temporal_transformer(x) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 190, in forward hidden_states = block(hidden_states) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 244, in forward hidden_states = attention_block(norm_hidden_states) + hidden_states File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "C:\Users\User\stable-diffusion-webui\extensions\sd-webui-animatediff\motion_module.py", line 333, in forward x = rearrange(x, "(b f) d c -> (b d) f c", f=video_length) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py", line 487, in rearrange return reduce(tensor, pattern, reduction='rearrange', **axes_lengths) File "C:\Users\User\stable-diffusion-webui\venv\lib\site-packages\einops\einops.py", line 418, in reduce raise EinopsError(message + '\n {}'.format(e)) einops.EinopsError: Error while processing rearrange-reduction pattern "(b f) d c -> (b d) f c". Input tensor shape: torch.Size([2, 8040, 320]). Additional info: {'f': 16}. Shape mismatch, can't divide axis of length 2 in chunks of 16