Very cool! I just released a tutorial on how to do this using the computerender api!
https://github.com/computerender/tutorials/tree/main/python/...
If you’re interested in saving money on expensive cloud gpus, our api is much cheaper than this. (only $0.001-0.0025 per frame)
do you plan on adding dreambooth? I would give it a try.
I would like to support dreambooth, if there is a way to store the fine-tuned models more efficiently. The challenge is that each trained model is quite large and a bunch of models can't fit into one gpus memory at once.
Try the Lora fine-tuning method with few MB results: