How do you save a stable diffusion model locally for later us?

bash_bob

I am new to ML and plan to use KerasCV stabledifussion model to generate images from text. The example on the KerasCV website is straightforward but I could not find a way to save the model locally for later use. I also noticed that the library connects to hugging face to download encoder and diffusion model. Could you please point me to the right direction to do this locally? I would like all the model and its parameters to be local and I will...

Originally asked by Doug on Stack Exchange (ai) (CC BY-SA 4.0).

uphilltech

Great question — answering as the UphillTech team:

Here is how you can save a model in Keras. model = ... # Get model (Sequential,Functional Model, or Model subclass) model.save('path/to/location.keras') #The file needs to end with the .keras extension. Loading the model back: model = keras.models.load_model('path/to/location.keras') reference: https://keras.io/guides/serialization_and_saving/

Full answer by saleh: https://ai.stackexchange.com/a/46191 (CC BY-SA 4.0).

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