Sure, the following outline describes how to use Stable Diffusion:

1.  Determine what issue you need it to solve.
2.  Pick a data set that's fitting.
3.  Clean and arrange the data.
4.  Separate the data into two parts, one for training and one for testing.
5.  Train the Stable Diffusion model with the training data.
6.  Check how well the model performs with the testing data.
7.  Improve the model by making changes and retraining if needed.
8.  Use the model to predict outcomes on new data.
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