cog-inject - inject files into cog models
This is a proof of concept that:
- takes an input of files in a zip
weights - where those files should end up on disk
path_base - the name of an image to build ontop of
base_image - and where you want to push
dest_image
On a CPU, without downloading the base_image, this uses a small go binary built on google/go-containerregistry to create a new image layer, and push that layer / image metadata to dest_image
This uses a prototype go binary built from my r8im tool.
Why?
There are "weights" and there are "models". Whenever I get new weights (either through dreambooth, AIT, some new model shared on HF/civit/reddit), I want to be able to use them efficiently.
This builds a new image in around a minute, without any GPU or time spent waiting for cog to build/push.
Hmm, you send your auth_token?!!?!
yeah, this is a prototype, do not use in production
please experiment and share feedback with replicate team in discord