Created Train set scaling (markdown)
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![image](https://user-images.githubusercontent.com/15839076/196738736-382ba2ca-7f01-4d80-a655-a5e120ddce4b.png)
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Training settings have approximately following this curve as the dataset as grown.
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Typical dreambooth training falls on the far left of this graph, the community has many examples of people using 10-80 images and 800-2500 steps for typical face/person training. As I've scaled the Final Fantasy 7 Remake model, I've found a somewhat inverted exponential curve in steps required as I add data, but I suspect this will flatten out to linear as we zoom out.
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Adding in more ground truth data will also multiple the line with respect to the Y axis of steps. I.e. 25% training data and 75% ground truth data I would suspect will increase steps/training time by 4 but better preserve the character of the base model.
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![image](https://user-images.githubusercontent.com/15839076/196750042-58f20803-c5c7-426a-9adf-fd89085e531c.png)
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My expectation the price of adding substantial ground truth will be improved model quality retention.
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