stable-diffusion-webui
stable-diffusion-webui copied to clipboard
Published
20 hours ago •
AUTOMATIC1111
AUTOMATIC1111
[Bug]: Cannot copy out of meta tensor; no data! please fix it
Is there an existing issue for this?
- [X] I have searched the existing issues and checked the recent builds/commits
What happened?
I've already started and the error shows up for me. And of course... I can't generate the image, nothing! and that always depends on what error. and i make google colab, not for my pc. @aut
Steps to reproduce the problem
- Go to ....
- Press ....
- ...
What should have happened?
the webui can't generate for images and that's why there are lots of errors.
Sysinfo
{
"Platform": "Linux-5.15.109+-x86_64-with-glibc2.35",
"Python": "3.10.12",
"Version": "v1.6.0",
"Commit": "5ef669de080814067961f28357256e8fe27544f4",
"Script path": "/content/stable-diffusion-webui",
"Data path": "/content/stable-diffusion-webui",
"Extensions dir": "/content/stable-diffusion-webui/extensions",
"Checksum": "356fd657c1c95ee9cd280801e0933ac38992694f8e4b370f8c9c9e358f94984b",
"Commandline": [
"launch.py",
"--dump-sysinfo",
"--lowram",
"--enable-insecure-extension-access",
"--theme",
"dark",
"--gradio-queue",
"--disable-safe-unpickle",
"--share"
],
"Torch env info": {
"torch_version": "2.0.1+cu118",
"is_debug_build": "False",
"cuda_compiled_version": "11.8",
"gcc_version": "(Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0",
"clang_version": "14.0.0-1ubuntu1.1",
"cmake_version": "version 3.27.2",
"os": "Ubuntu 22.04.2 LTS (x86_64)",
"libc_version": "glibc-2.35",
"python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0] (64-bit runtime)",
"python_platform": "Linux-5.15.109+-x86_64-with-glibc2.35",
"is_cuda_available": "True",
"cuda_runtime_version": "11.8.89",
"cuda_module_loading": "LAZY",
"nvidia_driver_version": "525.105.17",
"nvidia_gpu_models": "GPU 0: Tesla T4",
"cudnn_version": [
"Probably one of the following:",
"/usr/lib/x86_64-linux-gnu/libcudnn.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.9.0",
"/usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.9.0"
],
"pip_version": "pip3",
"pip_packages": [
"numpy==1.23.5",
"open-clip-torch==2.20.0",
"pytorch-lightning==1.9.4",
"torch==2.0.1+cu118",
"torchaudio==2.0.2+cu118",
"torchdata==0.6.1",
"torchdiffeq==0.2.3",
"torchmetrics==1.1.1",
"torchsde==0.2.5",
"torchsummary==1.5.1",
"torchtext==0.15.2",
"torchvision==0.15.2+cu118"
],
"conda_packages": null,
"hip_compiled_version": "N/A",
"hip_runtime_version": "N/A",
"miopen_runtime_version": "N/A",
"caching_allocator_config": "",
"is_xnnpack_available": "True",
"cpu_info": [
"Architecture: x86_64",
"CPU op-mode(s): 32-bit, 64-bit",
"Address sizes: 46 bits physical, 48 bits virtual",
"Byte Order: Little Endian",
"CPU(s): 2",
"On-line CPU(s) list: 0,1",
"Vendor ID: GenuineIntel",
"Model name: Intel(R) Xeon(R) CPU @ 2.00GHz",
"CPU family: 6",
"Model: 85",
"Thread(s) per core: 2",
"Core(s) per socket: 1",
"Socket(s): 1",
"Stepping: 3",
"BogoMIPS: 4000.30",
"Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid tsc_known_freq pni pclmulqdq ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch invpcid_single ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx avx512f avx512dq rdseed adx smap clflushopt clwb avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves arat md_clear arch_capabilities",
"Hypervisor vendor: KVM",
"Virtualization type: full",
"L1d cache: 32 KiB (1 instance)",
"L1i cache: 32 KiB (1 instance)",
"L2 cache: 1 MiB (1 instance)",
"L3 cache: 38.5 MiB (1 instance)",
"NUMA node(s): 1",
"NUMA node0 CPU(s): 0,1",
"Vulnerability Itlb multihit: Not affected",
"Vulnerability L1tf: Mitigation; PTE Inversion",
"Vulnerability Mds: Vulnerable; SMT Host state unknown",
"Vulnerability Meltdown: Vulnerable",
"Vulnerability Mmio stale data: Vulnerable",
"Vulnerability Retbleed: Vulnerable",
"Vulnerability Spec store bypass: Vulnerable",
"Vulnerability Spectre v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers",
"Vulnerability Spectre v2: Vulnerable, IBPB: disabled, STIBP: disabled, PBRSB-eIBRS: Not affected",
"Vulnerability Srbds: Not affected",
"Vulnerability Tsx async abort: Vulnerable"
]
},
"Exceptions": [],
"CPU": {
"model": "x86_64",
"count logical": 2,
"count physical": 1
},
"RAM": {
"total": "13GB",
"used": "1GB",
"free": "633MB",
"active": "3GB",
"inactive": "8GB",
"buffers": "172MB",
"cached": "11GB",
"shared": "5MB"
},
"Extensions": [],
"Inactive extensions": [],
"Environment": {
"GRADIO_ANALYTICS_ENABLED": "False",
"PYTHONPATH": "/env/python"
},
"Config": "'NoneType' object has no attribute 'data'",
"Startup": null,
"Packages": [
"absl-py==1.4.0",
"accelerate==0.21.0",
"addict==2.4.0",
"aenum==3.1.15",
"aiofiles==23.2.1",
"aiohttp==3.8.5",
"aiosignal==1.3.1",
"alabaster==0.7.13",
"albumentations==1.3.1",
"altair==4.2.2",
"annotated-types==0.5.0",
"antlr4-python3-runtime==4.9.3",
"anyio==3.7.1",
"appdirs==1.4.4",
"argon2-cffi-bindings==21.2.0",
"argon2-cffi==23.1.0",
"array-record==0.4.1",
"arviz==0.15.1",
"astropy==5.3.2",
"astunparse==1.6.3",
"async-timeout==4.0.3",
"attrs==23.1.0",
"audioread==3.0.0",
"autograd==1.6.2",
"babel==2.12.1",
"backcall==0.2.0",
"basicsr==1.4.2",
"beautifulsoup4==4.11.2",
"bleach==6.0.0",
"blendmodes==2022",
"blinker==1.4",
"blis==0.7.10",
"blosc2==2.0.0",
"bokeh==3.2.2",
"boltons==23.0.0",
"branca==0.6.0",
"build==0.10.0",
"cachecontrol==0.13.1",
"cachetools==5.3.1",
"catalogue==2.0.9",
"certifi==2023.7.22",
"cffi==1.15.1",
"chardet==5.2.0",
"charset-normalizer==3.2.0",
"chex==0.1.7",
"clean-fid==0.1.35",
"click-plugins==1.1.1",
"click==8.1.7",
"cligj==0.7.2",
"clip==1.0",
"cloudpickle==2.2.1",
"cmake==3.27.2",
"cmdstanpy==1.1.0",
"colorcet==3.0.1",
"colorlover==0.3.0",
"community==1.0.0b1",
"confection==0.1.1",
"cons==0.4.6",
"contextlib2==21.6.0",
"contourpy==1.1.0",
"convertdate==2.4.0",
"cryptography==41.0.3",
"cufflinks==0.17.3",
"cupy-cuda11x==11.0.0",
"cvxopt==1.3.2",
"cvxpy==1.3.2",
"cycler==0.11.0",
"cymem==2.0.7",
"cython==0.29.36",
"dask==2023.8.1",
"datascience==0.17.6",
"db-dtypes==1.1.1",
"dbus-python==1.2.18",
"debugpy==1.6.6",
"decorator==4.4.2",
"defusedxml==0.7.1",
"deprecation==2.1.0",
"distributed==2023.8.1",
"distro==1.7.0",
"dlib==19.24.2",
"dm-tree==0.1.8",
"docutils==0.18.1",
"dopamine-rl==4.0.6",
"duckdb==0.8.1",
"earthengine-api==0.1.364",
"easydict==1.10",
"ecos==2.0.12",
"editdistance==0.6.2",
"einops==0.4.1",
"en-core-web-sm==3.6.0",
"entrypoints==0.4",
"ephem==4.1.4",
"et-xmlfile==1.1.0",
"etils==1.4.1",
"etuples==0.3.9",
"exceptiongroup==1.1.3",
"facexlib==0.3.0",
"fastai==2.7.12",
"fastapi==0.94.0",
"fastcore==1.5.29",
"fastdownload==0.0.7",
"fastjsonschema==2.18.0",
"fastprogress==1.0.3",
"fastrlock==0.8.1",
"ffmpy==0.3.1",
"filelock==3.12.2",
"filterpy==1.4.5",
"fiona==1.9.4.post1",
"firebase-admin==5.3.0",
"flask==2.2.5",
"flatbuffers==23.5.26",
"flax==0.7.2",
"folium==0.14.0",
"fonttools==4.42.1",
"frozendict==2.3.8",
"frozenlist==1.4.0",
"fsspec==2023.6.0",
"ftfy==6.1.1",
"future==0.18.3",
"gast==0.4.0",
"gcsfs==2023.6.0",
"gdal==3.4.3",
"gdown==4.6.6",
"gensim==4.3.1",
"geographiclib==2.0",
"geopandas==0.13.2",
"geopy==2.3.0",
"gfpgan==1.3.8",
"gin-config==0.5.0",
"gitdb==4.0.10",
"gitpython==3.1.32",
"glob2==0.7",
"google-api-core==2.11.1",
"google-api-python-client==2.84.0",
"google-auth-httplib2==0.1.0",
"google-auth-oauthlib==1.0.0",
"google-auth==2.17.3",
"google-cloud-bigquery-connection==1.12.1",
"google-cloud-bigquery-storage==2.22.0",
"google-cloud-bigquery==3.10.0",
"google-cloud-core==2.3.3",
"google-cloud-datastore==2.15.2",
"google-cloud-firestore==2.11.1",
"google-cloud-functions==1.13.2",
"google-cloud-language==2.9.1",
"google-cloud-storage==2.8.0",
"google-cloud-translate==3.11.3",
"google-colab==1.0.0",
"google-crc32c==1.5.0",
"google-pasta==0.2.0",
"google-resumable-media==2.5.0",
"google==2.0.3",
"googleapis-common-protos==1.60.0",
"googledrivedownloader==0.4",
"gradio-client==0.5.0",
"gradio==3.41.2",
"graphviz==0.20.1",
"greenlet==2.0.2",
"grpc-google-iam-v1==0.12.6",
"grpcio-status==1.48.2",
"grpcio==1.57.0",
"gspread-dataframe==3.3.1",
"gspread==3.4.2",
"gym-notices==0.0.8",
"gym==0.25.2",
"h11==0.12.0",
"h5netcdf==1.2.0",
"h5py==3.9.0",
"holidays==0.31",
"holoviews==1.17.1",
"html5lib==1.1",
"httpcore==0.15.0",
"httpimport==1.3.1",
"httplib2==0.22.0",
"httpx==0.24.1",
"huggingface-hub==0.16.4",
"humanize==4.7.0",
"hyperopt==0.2.7",
"idna==3.4",
"imageio-ffmpeg==0.4.8",
"imageio==2.31.1",
"imagesize==1.4.1",
"imbalanced-learn==0.10.1",
"imgaug==0.4.0",
"importlib-metadata==6.8.0",
"importlib-resources==6.0.1",
"imutils==0.5.4",
"inflect==7.0.0",
"inflection==0.5.1",
"iniconfig==2.0.0",
"intel-openmp==2023.2.0",
"ipykernel==5.5.6",
"ipython-genutils==0.2.0",
"ipython-sql==0.5.0",
"ipython==7.34.0",
"ipywidgets==7.7.1",
"itsdangerous==2.1.2",
"jax==0.4.14",
"jaxlib==0.4.14+cuda11.cudnn86",
"jeepney==0.7.1",
"jieba==0.42.1",
"jinja2==3.1.2",
"joblib==1.3.2",
"jsonmerge==1.8.0",
"jsonpickle==3.0.2",
"jsonschema-specifications==2023.7.1",
"jsonschema==4.19.0",
"jupyter-client==6.1.12",
"jupyter-console==6.1.0",
"jupyter-core==5.3.1",
"jupyter-server==1.24.0",
"jupyterlab-pygments==0.2.2",
"jupyterlab-widgets==3.0.8",
"kaggle==1.5.16",
"keras==2.12.0",
"keyring==23.5.0",
"kiwisolver==1.4.4",
"kornia==0.6.7",
"langcodes==3.3.0",
"lark==1.1.2",
"launchpadlib==1.10.16",
"lazr.restfulclient==0.14.4",
"lazr.uri==1.0.6",
"lazy-loader==0.3",
"libclang==16.0.6",
"librosa==0.10.1",
"lightgbm==4.0.0",
"lightning-utilities==0.9.0",
"linkify-it-py==2.0.2",
"lit==16.0.6",
"llvmlite==0.39.1",
"lmdb==1.4.1",
"locket==1.0.0",
"logical-unification==0.4.6",
"lpips==0.1.4",
"lunarcalendar==0.0.9",
"lxml==4.9.3",
"markdown-it-py==3.0.0",
"markdown==3.4.4",
"markupsafe==2.1.3",
"matplotlib-inline==0.1.6",
"matplotlib-venn==0.11.9",
"matplotlib==3.7.1",
"mdit-py-plugins==0.4.0",
"mdurl==0.1.2",
"minikanren==1.0.3",
"missingno==0.5.2",
"mistune==0.8.4",
"mizani==0.9.2",
"mkl==2023.2.0",
"ml-dtypes==0.2.0",
"mlxtend==0.22.0",
"more-itertools==10.1.0",
"moviepy==1.0.3",
"mpmath==1.3.0",
"msgpack==1.0.5",
"multidict==6.0.4",
"multipledispatch==1.0.0",
"multitasking==0.0.11",
"murmurhash==1.0.9",
"music21==9.1.0",
"natsort==8.4.0",
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"nbclient==0.8.0",
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"nest-asyncio==1.5.7",
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"nibabel==4.0.2",
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"notebook-shim==0.2.3",
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"numba==0.56.4",
"numexpr==2.8.5",
"numpy==1.23.5",
"oauth2client==4.1.3",
"oauthlib==3.2.2",
"omegaconf==2.2.3",
"open-clip-torch==2.20.0",
"opencv-contrib-python==4.8.0.76",
"opencv-python-headless==4.8.0.76",
"opencv-python==4.8.0.76",
"openpyxl==3.1.2",
"opt-einsum==3.3.0",
"optax==0.1.7",
"orbax-checkpoint==0.3.5",
"orjson==3.9.5",
"osqp==0.6.2.post8",
"packaging==23.1",
"pandas-datareader==0.10.0",
"pandas-gbq==0.17.9",
"pandas==1.5.3",
"pandocfilters==1.5.0",
"panel==1.2.1",
"param==1.13.0",
"parso==0.8.3",
"partd==1.4.0",
"pathlib==1.0.1",
"pathy==0.10.2",
"patsy==0.5.3",
"pexpect==4.8.0",
"pickleshare==0.7.5",
"piexif==1.1.3",
"pillow==9.5.0",
"pip-tools==6.13.0",
"pip==23.1.2",
"platformdirs==3.10.0",
"plotly==5.15.0",
"plotnine==0.12.2",
"pluggy==1.2.0",
"polars==0.17.3",
"pooch==1.7.0",
"portpicker==1.5.2",
"prefetch-generator==1.0.3",
"preshed==3.0.8",
"prettytable==3.8.0",
"proglog==0.1.10",
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"promise==2.3",
"prompt-toolkit==3.0.39",
"prophet==1.1.4",
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"protobuf==3.20.0",
"psutil==5.9.5",
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"ptyprocess==0.7.0",
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"py4j==0.10.9.7",
"pyarrow==9.0.0",
"pyasn1-modules==0.3.0",
"pyasn1==0.5.0",
"pycloudflared==0.2.0",
"pycocotools==2.0.7",
"pycparser==2.21",
"pyct==0.5.0",
"pydantic-core==2.6.1",
"pydantic==1.10.12",
"pydata-google-auth==1.8.2",
"pydot-ng==2.0.0",
"pydot==1.4.2",
"pydotplus==2.0.2",
"pydrive2==1.6.3",
"pydrive==1.3.1",
"pydub==0.25.1",
"pyerfa==2.0.0.3",
"pygame==2.5.1",
"pygments==2.16.1",
"pygobject==3.42.1",
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"pyparsing==3.1.1",
"pyproj==3.6.0",
"pyproject-hooks==1.0.0",
"pysocks==1.7.1",
"pytensor==2.14.2",
"pytest==7.4.0",
"python-apt==0.0.0",
"python-dateutil==2.8.2",
"python-louvain==0.16",
"python-multipart==0.0.6",
"python-slugify==8.0.1",
"python-utils==3.7.0",
"pytorch-lightning==1.9.4",
"pytz==2023.3",
"pyviz-comms==3.0.0",
"pywavelets==1.4.1",
"pyyaml==6.0.1",
"pyzmq==23.2.1",
"qdldl==0.1.7.post0",
"qudida==0.0.4",
"realesrgan==0.3.0",
"referencing==0.30.2",
"regex==2023.6.3",
"requests-oauthlib==1.3.1",
"requests==2.31.0",
"requirements-parser==0.5.0",
"resize-right==0.0.2",
"rich==13.5.2",
"rpds-py==0.9.2",
"rpy2==3.4.2",
"rsa==4.9",
"safetensors==0.3.1",
"scikit-image==0.21.0",
"scikit-learn==1.2.2",
"scipy==1.10.1",
"scs==3.2.3",
"seaborn==0.12.2",
"secretstorage==3.3.1",
"semantic-version==2.10.0",
"send2trash==1.8.2",
"sentencepiece==0.1.99",
"setuptools==67.7.2",
"shapely==2.0.1",
"six==1.16.0",
"sklearn-pandas==2.2.0",
"smart-open==6.3.0",
"smmap==5.0.0",
"sniffio==1.3.0",
"snowballstemmer==2.2.0",
"sortedcontainers==2.4.0",
"soundfile==0.12.1",
"soupsieve==2.4.1",
"soxr==0.3.6",
"spacy-legacy==3.0.12",
"spacy-loggers==1.0.4",
"spacy==3.6.1",
"sphinx==5.0.2",
"sphinxcontrib-applehelp==1.0.7",
"sphinxcontrib-devhelp==1.0.5",
"sphinxcontrib-htmlhelp==2.0.4",
"sphinxcontrib-jsmath==1.0.1",
"sphinxcontrib-qthelp==1.0.6",
"sphinxcontrib-serializinghtml==1.1.9",
"sqlalchemy==2.0.20",
"sqlparse==0.4.4",
"srsly==2.4.7",
"starlette==0.26.1",
"statsmodels==0.14.0",
"sympy==1.12",
"tables==3.8.0",
"tabulate==0.9.0",
"tb-nightly==2.15.0a20230902",
"tbb==2021.10.0",
"tblib==2.0.0",
"tenacity==8.2.3",
"tensorboard-data-server==0.7.1",
"tensorboard==2.12.3",
"tensorflow-datasets==4.9.2",
"tensorflow-estimator==2.12.0",
"tensorflow-gcs-config==2.12.0",
"tensorflow-hub==0.14.0",
"tensorflow-io-gcs-filesystem==0.33.0",
"tensorflow-metadata==1.14.0",
"tensorflow-probability==0.20.1",
"tensorflow==2.12.0",
"tensorstore==0.1.41",
"termcolor==2.3.0",
"terminado==0.17.1",
"text-unidecode==1.3",
"textblob==0.17.1",
"tf-slim==1.1.0",
"thinc==8.1.12",
"threadpoolctl==3.2.0",
"tifffile==2023.8.12",
"timm==0.9.2",
"tinycss2==1.2.1",
"tokenizers==0.13.3",
"tomesd==0.1.3",
"toml==0.10.2",
"tomli==2.0.1",
"toolz==0.12.0",
"torch==2.0.1+cu118",
"torchaudio==2.0.2+cu118",
"torchdata==0.6.1",
"torchdiffeq==0.2.3",
"torchmetrics==1.1.1",
"torchsde==0.2.5",
"torchsummary==1.5.1",
"torchtext==0.15.2",
"torchvision==0.15.2+cu118",
"tornado==6.3.2",
"tqdm==4.66.1",
"traitlets==5.7.1",
"trampoline==0.1.2",
"transformers==4.30.2",
"triton==2.0.0",
"tweepy==4.13.0",
"typer==0.9.0",
"types-setuptools==68.1.0.1",
"typing-extensions==4.7.1",
"tzlocal==5.0.1",
"uc-micro-py==1.0.2",
"uritemplate==4.1.1",
"urllib3==2.0.4",
"uvicorn==0.23.2",
"vega-datasets==0.9.0",
"wadllib==1.3.6",
"wasabi==1.1.2",
"wcwidth==0.2.6",
"webcolors==1.13",
"webencodings==0.5.1",
"websocket-client==1.6.2",
"websockets==11.0.3",
"werkzeug==2.3.7",
"wheel==0.41.2",
"widgetsnbextension==3.6.5",
"wordcloud==1.9.2",
"wrapt==1.14.1",
"xarray-einstats==0.6.0",
"xarray==2023.7.0",
"xgboost==1.7.6",
"xlrd==2.0.1",
"xyzservices==2023.7.0",
"yapf==0.40.1",
"yarl==1.9.2",
"yellowbrick==1.5",
"yfinance==0.2.28",
"zict==3.0.0",
"zipp==3.16.2"
]
}
What browsers do you use to access the UI ?
Google Chrome
Console logs
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "/content/stable-diffusion-webui/modules/initialize.py", line 147, in load_model
shared.sd_model # noqa: B018
File "/content/stable-diffusion-webui/modules/shared_items.py", line 110, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/content/stable-diffusion-webui/modules/sd_models.py", line 499, in get_sd_model
load_model()
File "/content/stable-diffusion-webui/modules/sd_models.py", line 602, in load_model
sd_model = instantiate_from_config(sd_config.model)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict())).cuda()
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 550, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 92, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1314, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict())).cuda()
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 905, in cuda
return self._apply(lambda t: t.cuda(device))
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 797, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 797, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 820, in _apply
param_applied = fn(param)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 905, in <lambda>
return self._apply(lambda t: t.cuda(device))
NotImplementedError: Cannot copy out of meta tensor; no data!
Failed to create model quickly; will retry using slow method.
loading stable diffusion model: NotImplementedError
Traceback (most recent call last):
File "/usr/lib/python3.10/threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "/usr/lib/python3.10/threading.py", line 1016, in _bootstrap_inner
self.run()
File "/usr/lib/python3.10/threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "/content/stable-diffusion-webui/modules/initialize.py", line 147, in load_model
shared.sd_model # noqa: B018
File "/content/stable-diffusion-webui/modules/shared_items.py", line 110, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "/content/stable-diffusion-webui/modules/sd_models.py", line 499, in get_sd_model
load_model()
File "/content/stable-diffusion-webui/modules/sd_models.py", line 611, in load_model
sd_model = instantiate_from_config(sd_config.model)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict())).cuda()
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 550, in __init__
super().__init__(conditioning_key=conditioning_key, *args, **kwargs)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 92, in __init__
self.model = DiffusionWrapper(unet_config, conditioning_key)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1314, in __init__
self.diffusion_model = instantiate_from_config(diff_model_config)
File "/content/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/util.py", line 89, in instantiate_from_config
return get_obj_from_str(config["target"])(**config.get("params", dict())).cuda()
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 905, in cuda
return self._apply(lambda t: t.cuda(device))
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 797, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 797, in _apply
module._apply(fn)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 820, in _apply
param_applied = fn(param)
File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 905, in <lambda>
return self._apply(lambda t: t.cuda(device))
NotImplementedError: Cannot copy out of meta tensor; no data!
Stable diffusion model failed to load
Additional information
No response
Can one of you confirm if launching with --disable-model-loading-ram-optimization resolves this issue?
@catboxanon wait, First, I have to prepare something and then test it.
@catboxanon that worked very well! I don't see any errors or bugs, otherwise there are no errors. Thanks!
@catboxanon The funny story is that I have two accounts on github lol ^^
Can one of you confirm if launching with
--disable-model-loading-ram-optimizationresolves this issue?
This was the workaround for me too for using a safetensors model generated using this script, at least on my AMD RX 6800 setup :)
I wanted to report that adding --disable-model-loading-ram-optimization to launch did not resolve my issue.
This crept up the other day when I first started learning how to use Supermerger and LoRa merging. Restarting the server sometimes helps it, waiting till server is fully booted before opening browser. It seems as though when attempting to merge a LoRa into a checkpoint, I have to shut everything down first. Seems hit or miss as to whether the issue will present itself during a specific run, but it will lean more towards being an issue than working flawlessly.
I don't know to what length of time this may have been an issue because I just started merging stuff yesterday.
If it's only occurring when using Supermerger, then that's an extension issue, not a webui issue.
If it's only occurring when using Supermerger, then that's an extension issue, not a webui issue.
It does also occur repeatedly after attempting merges, even when trying to generate images using other non-merged checkpoints. It does occasionally happen when using merges that did complete successfully. I have not tried these scenarios after applying the previous workaround. I will report again if I can reproduce.
When inpainting, If I use a batch count > 1 , I get the error. the --disable-model-loading-ram-optimization doesn't seem to solve it. Any tip?
similar issue: https://stackoverflow.com/questions/77547377/notimplementederror-cannot-copy-out-of-meta-tensor-no-data
Marwan Rabi says: "By searching I found that: GPU is the problem This error is caused by Accelerate auto-offloading weights to either the CPU or disk because of insufficient memory on the GPU."
I also found the same error when I upgraded from 1.61 to 1.70
While copying the parameter named "first_stage_model.decoder.up.3.block.2.norm1.bias", whose dimensions in the model are torch.Size([512]) and whose dimensions in the checkpoint are torch.Size([512]), an exception occurred : ('Cannot copy out of meta tensor; no data!',).
While copying the parameter named "first_stage_model.decoder.up.3.block.2.norm2.weight", whose dimensions in the model are torch.Size([512]) and whose dimensions in the checkpoint are torch.Size([512]), an exception occurred : ('Cannot copy out of meta tensor; no data!',).
While copying the parameter named "first_stage_model.decoder.up.3.block.2.norm2.bias", whose dimensions in the model are torch.Size([512]) and whose dimensions in the checkpoint are torch.Size([512]), an exception occurred : ('Cannot copy out of meta tensor; no data!',).
While copying the parameter named "first_stage_model.decoder.norm_out.weight", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]), an exception occurred : ('Cannot copy out of meta tensor; no data!',).
While copying the parameter named "first_stage_model.decoder.norm_out.bias", whose dimensions in the model are torch.Size([128]) and whose dimensions in the checkpoint are torch.Size([128]), an exception occurred : ('Cannot copy out of meta tensor; no data!',).
It means you are running out of vram, or at least should be because of that if everything else should be working
