Stable Diffusion Pickle Scanner

Scan .pt, .ckpt and .bin files for potentially malicious code.

How to use

1. Export pickle_inspector.py and pickle_scan.py to your Stable Diffusion base directory
2. Open bash / CMD
3. Run command python pickle_scan.py models > scan_output.txt
4. Open scan_output.txt

If you get an error about torch not being installed, start your webui and copy the venv python path and replace python with that path.

It might look something like this:

venv "F:\Projects\stable-diffusion-webui\venv\Scripts\Python.exe"

Final command would look like:

"F:\Projects\stable-diffusion-webui\venv\Scripts\Python.exe" pickle_scan.py models > scan_output.txt

Usage

python pickle_scan.py [directory] [debugmode]

Example

python pickle_scan.py models

Debug Mode

Add 1 after directory to see which calls / signals triggered the scan failure.

python pickle_scan.py models 1 > scan_output.txt

How to set up and use with AUTOMATIC1111 web UI (Windows)

1. Download the three files pickle_inspector.py, pickle_scan.py and _start-pickle-scan.cmd to any directory
2. Open _start-pickle-scan.cmd with notepad (or any text editor)
3. Copy your venv path between the quotation marks in the line starting with SET VENV_PATH=. When you start the UI this should be displayed in the first line of the console window. Example venv "E:\stable-diffusion-webui\venv\Scripts\Python.exe"
4. Copy the path to your model folder between the quotation marks in the line starting with SET SD_FOLDER=. Example E:\stable-diffusion-webui\models
5. (optional) If yo would like to scan an additional folder you can copy the path between the quotation marks in the line starting with SET DOWNLOAD_FOLDER. In case you want to scan a checkpoint before moving it into the proper model folder, otherwise leave as is
6. Save the script file
7. Doubleclick _start-pickle-scan.cmd and wait for the scan to complete The last few lines show how many suspicious files were found

"Number of failed scans (potentially malicious files):"

---------- SCAN_OUTPUT.TXT: 0

Example output (with numpy considered "non-standard"):

Notes

By default this will scan all subdirectories for files ending with .pt, .ckpt and .bin

License

https://creativecommons.org/licenses/by-nc-sa/4.0/