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AUTOMATIC1111 / stable-diffusion-webui

Stable Diffusion web UI
GNU Affero General Public License v3.0
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[Bug]: Cannot copy out of meta tensor; no data! please fix it #13087

Open Misterkiwi500 opened 10 months ago

Misterkiwi500 commented 10 months ago

Is there an existing issue for this?

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

  1. Go to ....
  2. Press ....
  3. ...

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",
        "nbclassic==1.0.0",
        "nbclient==0.8.0",
        "nbconvert==6.5.4",
        "nbformat==5.9.2",
        "nest-asyncio==1.5.7",
        "networkx==3.1",
        "nibabel==4.0.2",
        "nltk==3.8.1",
        "notebook-shim==0.2.3",
        "notebook==6.5.5",
        "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",
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        "packaging==23.1",
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        "pandas==1.5.3",
        "pandocfilters==1.5.0",
        "panel==1.2.1",
        "param==1.13.0",
        "parso==0.8.3",
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        "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",
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        "progressbar2==4.2.0",
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        "prompt-toolkit==3.0.39",
        "prophet==1.1.4",
        "proto-plus==1.22.3",
        "protobuf==3.20.0",
        "psutil==5.9.5",
        "psycopg2==2.9.7",
        "ptyprocess==0.7.0",
        "py-cpuinfo==9.0.0",
        "py4j==0.10.9.7",
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        "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",
        "pyjwt==2.3.0",
        "pymc==5.7.2",
        "pymeeus==0.5.12",
        "pymystem3==0.2.0",
        "pyopengl==3.1.7",
        "pyopenssl==23.2.0",
        "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

Misterkiwi500 commented 10 months ago

@AUTOMATIC1111

andrewssdd commented 10 months ago

See the same bug in Google Colab.

Mistermango23 commented 10 months ago

@ctawong yeah, How to fix?

catboxanon commented 10 months ago

Can one of you confirm if launching with --disable-model-loading-ram-optimization resolves this issue?

Mistermango23 commented 10 months ago

@catboxanon wait, First, I have to prepare something and then test it.

Mistermango23 commented 10 months ago

@catboxanon that worked very well! I don't see any errors or bugs, otherwise there are no errors. Thanks!

Mistermango23 commented 10 months ago

@catboxanon The funny story is that I have two accounts on github lol ^^

tedliosu commented 8 months ago

Can one of you confirm if launching with --disable-model-loading-ram-optimization resolves 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 :)

jameslanman commented 8 months ago

The above fix worked for me as well. Thank you!

ExissNA commented 8 months ago

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.

catboxanon commented 8 months ago

If it's only occurring when using Supermerger, then that's an extension issue, not a webui issue.

ExissNA commented 8 months ago

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.

carlosgalveias commented 7 months ago

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?

bandinopla commented 7 months ago

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."

jason571 commented 6 months ago

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!',).
TeKett commented 2 months ago

It means you are running out of vram, or at least should be because of that if everything else should be working