[Minty]

Hello, today when I have been trying to use the forge notebook the cell keeps “finishing” and not providing a link.  Here is what the cell says.  Not sure if this is something on my end or not.  Any help is appreciated.  Thanks.

 

 

 

/content/stable-diffusion-webui-forge WEBUI ARGUMENTS: –gradio-img2img-tool color-sketch –enable-insecure-extension-access –gradio-queue –share –gradio-auth “a”:”a” Python 3.10.12 (main, Jan 17 2025, 14:35:34) [GCC 11.4.0] Version: f2.0.1v1.10.1-previous-635-gf5330788 Commit hash: f53307881bfd824dbdce6ac0d4bba04d9a74ab36 Installing requirements Installing sd-webui-infinite-image-browsing requirement: python-dotenv Installing sd-webui-infinite-image-browsing requirement: av Installing requirements for CLIP Interrogator Legacy Preprocessor init warning: Unable to install insightface automatically. Please try run pip install insightface manually. Launching Web UI with arguments: –gradio-img2img-tool color-sketch –enable-insecure-extension-access –gradio-queue –share –gradio-auth a:a Total VRAM 22693 MB, total RAM 54233 MB pytorch version: 2.3.1+cu121 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA L4 : native VAE dtype preferences: [torch.bfloat16, torch.float32] -> torch.bfloat16 Installing bitsandbytes==0.43.3 CUDA Using Stream: False The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling transformers.utils.move_cache(). 0it [00:00, ?it/s] Using pytorch cross attention Using pytorch attention for VAE Traceback (most recent call last): File “/content//stable-diffusion-webui-forge/launch.py”, line 54, in <module> main() File “/content//stable-diffusion-webui-forge/launch.py”, line 50, in main start() File “/content/stable-diffusion-webui-forge/modules/launch_utils.py”, line 549, in start import webui File “/content/stable-diffusion-webui-forge/webui.py”, line 23, in <module> initialize.imports() File “/content/stable-diffusion-webui-forge/modules/initialize.py”, line 16, in imports import pytorch_lightning # noqa: F401 File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/init.py”, line 35, in <module> from pytorch_lightning.callbacks import Callback # noqa: E402 File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/init.py”, line 14, in <module> from pytorch_lightning.callbacks.batch_size_finder import BatchSizeFinder File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/batch_size_finder.py”, line 24, in <module> from pytorch_lightning.callbacks.callback import Callback File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/callback.py”, line 25, in <module> from pytorch_lightning.utilities.types import STEP_OUTPUT File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/types.py”, line 27, in <module> from torchmetrics import Metric File “/usr/local/lib/python3.10/dist-packages/torchmetrics/init.py”, line 37, in <module> from torchmetrics import functional # noqa: E402 File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/init.py”, line 14, in <module> from torchmetrics.functional.audio._deprecated import _permutation_invariant_training as permutation_invariant_training File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/audio/init.py”, line 14, in <module> from torchmetrics.functional.audio.pit import permutation_invariant_training, pit_permutate File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/audio/pit.py”, line 22, in <module> from torchmetrics.utilities import rank_zero_warn File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/init.py”, line 14, in <module> from torchmetrics.utilities.checks import check_forward_full_state_property File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/checks.py”, line 26, in <module> from torchmetrics.metric import Metric File “/usr/local/lib/python3.10/dist-packages/torchmetrics/metric.py”, line 43, in <module> from torchmetrics.utilities.plot import _AX_TYPE, _PLOT_OUT_TYPE, plot_single_or_multi_val File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/plot.py”, line 26, in <module> import matplotlib File “/usr/local/lib/python3.10/dist-packages/matplotlib/init.py”, line 1296, in <module> rcParams[‘backend’] = os.environ.get(‘MPLBACKEND’) File “/usr/local/lib/python3.10/dist-packages/matplotlib/init.py”, line 771, in setitem raise ValueError(f”Key {key}: {ve}”) from None ValueError: Key backend: ‘module://matplotlib_inline.backend_inline’ is not a valid value for backend; supported values are [‘gtk3agg’, ‘gtk3cairo’, ‘gtk4agg’, ‘gtk4cairo’, ‘macosx’, ‘nbagg’, ‘notebook’, ‘qtagg’, ‘qtcairo’, ‘qt5agg’, ‘qt5cairo’, ‘tkagg’, ‘tkcairo’, ‘webagg’, ‘wx’, ‘wxagg’, ‘wxcairo’, ‘agg’, ‘cairo’, ‘pdf’, ‘pgf’, ‘ps’, ‘svg’, ‘template’]

[Go Ushiyama]

Am probably repeating the above poster but it is happening to me as well. Here is the log where the errors starts to appear but in my case its Automatic1111 notebook:

Launching Web UI with arguments: –gradio-img2img-tool color-sketch –enable-insecure-extension-access –gradio-queue –share –gradio-auth a:a –disable-model-loading-ram-optimization –opt-sdp-attention
Traceback (most recent call last):
File “/content//stable-diffusion-webui/launch.py”, line 48, in <module>
main()
File “/content//stable-diffusion-webui/launch.py”, line 44, in main
start()
File “/content/stable-diffusion-webui/modules/launch_utils.py”, line 465, in start
import webui
File “/content/stable-diffusion-webui/webui.py”, line 13, in <module>
initialize.imports()
File “/content/stable-diffusion-webui/modules/initialize.py”, line 17, in imports
import pytorch_lightning # noqa: F401
File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/init.py”, line 35, in <module>
from pytorch_lightning.callbacks import Callback # noqa: E402
File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/init.py”, line 14, in <module>
from pytorch_lightning.callbacks.batch_size_finder import BatchSizeFinder
File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/batch_size_finder.py”, line 24, in <module>
from pytorch_lightning.callbacks.callback import Callback
File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/callbacks/callback.py”, line 25, in <module>
from pytorch_lightning.utilities.types import STEP_OUTPUT
File “/usr/local/lib/python3.10/dist-packages/pytorch_lightning/utilities/types.py”, line 27, in <module>
from torchmetrics import Metric
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/init.py”, line 37, in <module>
from torchmetrics import functional # noqa: E402
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/init.py”, line 14, in <module>
from torchmetrics.functional.audio._deprecated import _permutation_invariant_training as permutation_invariant_training
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/audio/init.py”, line 14, in <module>
from torchmetrics.functional.audio.pit import permutation_invariant_training, pit_permutate
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/audio/pit.py”, line 22, in <module>
from torchmetrics.utilities import rank_zero_warn
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/init.py”, line 14, in <module>
from torchmetrics.utilities.checks import check_forward_full_state_property
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/checks.py”, line 26, in <module>
from torchmetrics.metric import Metric
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/metric.py”, line 43, in <module>
from torchmetrics.utilities.plot import _AX_TYPE, _PLOT_OUT_TYPE, plot_single_or_multi_val
File “/usr/local/lib/python3.10/dist-packages/torchmetrics/utilities/plot.py”, line 26, in <module>
import matplotlib
File “/usr/local/lib/python3.10/dist-packages/matplotlib/init.py”, line 1296, in <module>
rcParams[‘backend’] = os.environ.get(‘MPLBACKEND’)
File “/usr/local/lib/python3.10/dist-packages/matplotlib/init.py”, line 771, in setitem
raise ValueError(f”Key {key}: {ve}”) from None
ValueError: Key backend: ‘module://matplotlib_inline.backend_inline’ is not a valid value for backend; supported values are [‘gtk3agg’, ‘gtk3cairo’, ‘gtk4agg’, ‘gtk4cairo’, ‘macosx’, ‘nbagg’, ‘notebook’, ‘qtagg’, ‘qtcairo’, ‘qt5agg’, ‘qt5cairo’, ‘tkagg’, ‘tkcairo’, ‘webagg’, ‘wx’, ‘wxagg’, ‘wxcairo’, ‘agg’, ‘cairo’, ‘pdf’, ‘pgf’, ‘ps’, ‘svg’, ‘template’]

 

[Andrew]

Hi, both the A1111 and Forge notebook are now fixed.

[Author]

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