<p>By default, you are changing the weights and biases of the original model.
But it depends on the training method you choose. If you do LoRA training, they add extra weights to the model.</p>

CC BY-SA 4.0
2023-02-26T07:16:49.803Z
2023-02-26T07:16:49.803Z
offchan
<p>I am a little confused, lets take Stable Diffusion for example. I download the SD model and I then retrain for a specific art style. Am I adding a layer of nodes on top of SD or am I changing all the weights and biases on the original model?</p>

CC BY-SA 4.0
2023-03-28T10:27:43.110Z
You can do either one.
David Hoelzer
<neural-networks><models>
When retraining a model are you adding a layer or changing existing node values?
icYou520
# When retraining a model are you adding a layer or changing existing node values?

(Asked by: username_0 on 2023-02-24)

I am a little confused, lets take Stable Diffusion for example. I download the SD model and I then retrain for a specific art style. Am I adding a layer of nodes on top of SD or am I changing all the weights and biases on the original model?

**Tags:** neural-networks, models

> **Comments:**
> **username_1**: You can do either one.  

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## 1 answers

### Answer by username_2 on 2023-02-26. Score: 1

By default, you are changing the weights and biases of the original model.
But it depends on the training method you choose. If you do LoRA training, they add extra weights to the model.


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