Answers.Body: <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>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-02-26T07:16:49.803Z
Answers.LastActivityDate: 2023-02-26T07:16:49.803Z
Answers.UserDisplayName: offchan
Body: <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>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-03-28T10:27:43.110Z
Comments.Text: You can do either one.
Comments.UserDisplayName: David Hoelzer
Tags: <neural-networks><models>
Title: When retraining a model are you adding a layer or changing existing node values?
UserDisplayName: icYou520
ThreadText: # 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.
  
  
  ---
  
  