stable-diffusion-docker VS Stable-Diffusion-Pickle-Scanner-GUI

Honestly though, you’re being a bit paranoid about it. Running your own local install would be much easier, and if you use .safetensors then from my understanding you’re pretty safe. You could also run it using the Docker container for a bit more security, though imo it’s not worth the headache.

You could try a dockerized implementation of it like this one https://github.com/fboulnois/stable-diffusion-docker

https://github.com/pieroit/stable-diffusion-jupyterlab-docker/ https://github.com/fboulnois/stable-diffusion-docker

Pickle scanner: https://github.com/diStyApps/Stable-Diffusion-Pickle-Scanner-GUI

Did you do a pickle scan on it already? You can find Distys pickle scanner here. If it's clean, then you could load it into Auto1111 and just do a checkpoint merge of that model at "0" (Meaning 100%) and save it as safetensor.

Safetensor is a new file format for models. Checkpoints create a security risk, since they are Python code encapsulated in binary form, so a malicious actor could put whatever code they wanted in one of those, and which is why it's recommended that you only use .ckpt models from reputable sources or use a checker like this https://github.com/diStyApps/Stable-Diffusion-Pickle-Scanner-GUI to make sure they are "clean."

If you are concerned about malware being embedded in .ckpt files, you can use an online tool to scan the models, or my Stable-Diffusion-Pickle-Scanner-GUI tool to scan your models before converting them.

I also recently updated my Stable Diffusion Pickle Scanner GUI, which you can find here: https://github.com/diStyApps/Stable-Diffusion-Pickle-Scanner-GUI Let me know what you think and if you have any suggestions for improvement!

There is also an update for Stable-Diffusion-Pickle-Scanner-GUI https://github.com/diStyApps/Stable-Diffusion-Pickle-Scanner-GUI