I have a question about saving and deploying a fine-tuned StableDiffusion model with endpoints. I'm comfortable with the data science and ML side, but not so much with the ways in which models can be deployed for production.
The scenario: I have fine-tuned StableDiffusion using this Colab script (which needed a lot of debugging). The results are satisfactory, and I want to make it available for public querying.
The ambition: I'd like to create some endpoints that allow users to input some text data that will then be used to create text prompts.
The problem: I don't know how to save the trained model from the Colab. Neither do I know how to access the model where ever I might choose to host it.
Effort so far: Amazon Sagemaker seems to offer functionality to do this. However, there's a lot of assumed knowledge in the documentation, and it's challenging to follow.
If anyone could point me in the right direction, that would be appreciated!
