ges you can expect:

sayakpaul/sd-model-finetuned-lora-t4 contains LoRA fine-tuned update matrices
which is only 3 MBs in size. During inference, the pre-trained Stable Diffusion checkpoints are loaded alongside these update
matrices and then they are combined to run inference.
You can use the huggingface_hub library to retrieve the base model
from sayakpaul/sd-model-finetuned-lora-t4 like so:


	Copied
from huggingface_hub.repocard import Repo