Preface

In the past I was not happy with locomotives I created. I used the steam locomotive to test some kohya_ss parameters. Therefore this model is not optimal, but it works.

Trigger Words

The trigger words for this LoRA are

steam locomotive

Training Images

The training image have an arbitrary resolution, an arbitrary aspect ration and an arbirtray orientation.

I used in total 29 arbitrary images. I have chosen the photos absolutely at random.

Training settings was

• 29 Images

• 145 buckets

• 5 repeats

• Batch size 3

• 220 epochs (-> used 90)

• 2860 learning steps (-> used 2175 training steps)

Quality of The Created Images

My first tests shows that the quality of the created images are depending on the model. Some models are better with respect to a steam locomotive than others.

What the Model Does

Creates a photo realistic steam locomotive.

Weights

You can use weights between 0.0 and 0.6. Over the weight of 0.6 overfitting will occur and distorted images are the result.

Donation

About each Buzz I am happy! Yellow ones are very welcome!

I am also happy to accept donations in one of 250+ crypto currencies:

https://nowpayments.io/donation/zentrocdot

Leave optional a comment like improve documentation or improve model etc. when doing so, that I know in what you are interested in.