- this required an update to the invoke-ai fork of gfpgan
- simultaneously reverted consolidation of environment and
requirements files, as their presence in a directory
triggered setup.py to try to install a sub-package.
- starting to remove unneeded entries and pins
- no longer require -e in front of github dependencies
- update setup.py with release number
- update manual installation instructions
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.
- updated environment-mac.yml #932
- use the upstream GFPGAN library now that issues with color-changing fixed
and facial recognition improved #905
- preload_models fixed to download additional models needed by gfpgan
