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Now you can activate the Hugging Face `diffusers` library safety check for NSFW and other potentially disturbing imagery. To turn on the safety check, pass --safety_checker at the command line. For developers, the flag is `safety_checker=True` passed to ldm.generate.Generate(). Once the safety checker is turned on, it cannot be turned off unless you reinitialize a new Generate object. When the safety checker is active, suspect images will be blurred and a warning icon is added. There is also a warning message printed in the CLI, but it can be a little hard to see because of its positioning in the output stream. There is a slight but noticeable delay when the safety checker runs. Note that invisible watermarking is *not* currently implemented. The watermark code distributed by the CompViz distribution uses a library that does not seem to be able to retrieve the watermarks it creates, and it does not appear that Hugging Face `diffusers` or other SD distributions are doing any watermarking.
28 lines
819 B
Plaintext
28 lines
819 B
Plaintext
albumentations==0.4.3
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einops==0.3.0
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diffusers==0.6.0
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huggingface-hub==0.8.1
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imageio==2.9.0
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imageio-ffmpeg==0.4.2
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kornia==0.6.0
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numpy==1.23.1
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--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
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omegaconf==2.1.1
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opencv-python==4.6.0.66
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pillow==9.2.0
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pudb==2019.2
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torch==1.12.1
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torchvision==0.13.0
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pytorch-lightning==1.7.7
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streamlit==1.12.0
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test-tube>=0.7.5
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torch-fidelity==0.3.0
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torchmetrics==0.6.0
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transformers==4.21.3
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-e git+https://github.com/openai/CLIP.git@main#egg=clip
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-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
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-e git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
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-e git+https://github.com/TencentARC/GFPGAN.git#egg=gfpgan
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-e git+https://github.com/invoke-ai/clipseg.git@models-rename#egg=clipseg
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-e .
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