Spaces:
Runtime error
Runtime error
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| [1m[32mInstall script for stable-diffusion + Web UI | |
| [1m[34mTested on Debian 11 (Bullseye), Fedora 34+ and openSUSE Leap 15.4 or newer.[0m | |
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| Running on [1m[32mubuntu[0m user | |
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| Repo already cloned, using it as install directory | |
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| python venv already activate or run without venv: /home/ubuntu/research/web_ui/stable-diffusion-webui/venv | |
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| Launching launch.py... | |
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| [1m[31mCannot locate TCMalloc (improves CPU memory usage)[0m | |
| Python 3.10.9 | packaged by conda-forge | (main, Feb 2 2023, 20:20:04) [GCC 11.3.0] | |
| Version: v1.7.0 | |
| Commit hash: cf2772fab0af5573da775e7437e6acdca424f26e | |
| Launching Web UI with arguments: --share | |
| /opt/conda/lib/python3.10/site-packages/torchvision/io/image.py:13: UserWarning: Failed to load image Python extension: '/opt/conda/lib/python3.10/site-packages/torchvision/image.so: undefined symbol: _ZN3c1017RegisterOperatorsD1Ev'If you don't plan on using image functionality from `torchvision.io`, you can ignore this warning. Otherwise, there might be something wrong with your environment. Did you have `libjpeg` or `libpng` installed before building `torchvision` from source? | |
| warn( | |
| No module 'xformers'. Proceeding without it. | |
| Style database not found: /home/ubuntu/research/stable-diffusion-webui/styles.csv | |
| ControlNet preprocessor location: /home/ubuntu/research/stable-diffusion-webui/extensions/sd-webui-controlnet/annotator/downloads | |
| 2024-02-16 02:06:10,136 - ControlNet - [0;32mINFO[0m - ControlNet v1.1.426 | |
| 2024-02-16 02:06:10,220 - ControlNet - [0;32mINFO[0m - ControlNet v1.1.426 | |
| Loading weights [31e35c80fc] from /home/ubuntu/research/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors | |
| Running on local URL: http://127.0.0.1:7860 | |
| Creating model from config: /home/ubuntu/research/stable-diffusion-webui/repositories/generative-models/configs/inference/sd_xl_base.yaml | |
| Running on public URL: https://0f732ec4deaf65997e.gradio.live | |
| This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces) | |
| Startup time: 16.2s (prepare environment: 1.7s, import torch: 2.6s, import gradio: 0.8s, setup paths: 0.9s, initialize shared: 0.2s, other imports: 0.5s, load scripts: 0.6s, create ui: 0.5s, gradio launch: 8.4s). | |
| Applying attention optimization: Doggettx... done. | |
| Model loaded in 12.8s (load weights from disk: 2.0s, create model: 0.4s, apply weights to model: 9.7s, load textual inversion embeddings: 0.3s, calculate empty prompt: 0.2s). | |
| process_images_inner | |
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| ========================================================================================== | |
| A tensor with all NaNs was produced in VAE. | |
| Web UI will now convert VAE into 32-bit float and retry. | |
| To disable this behavior, disable the 'Automatically revert VAE to 32-bit floats' setting. | |
| To always start with 32-bit VAE, use --no-half-vae commandline flag. | |
| ========================================================================================== | |
| Total progress: 100%|██████████| 30/30 [00:29<00:00, 1.15it/s][A Total progress: 100%|██████████| 30/30 [00:29<00:00, 1.03it/s] | |