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@ -100,9 +100,15 @@ A few bits about regularization images were added that we all thought were super
...and with completely blank regularization images:
<br><img src="https://media.discordapp.net/attachments/1023293330601287711/1024933371102629898/IMG_7579.JPG" width="200">
So, because regularization has no effect, this isn't Dreambooth at all.
And here's what `"photograph of an apple"` looks like with this code:
<br><img src="https://media.discordapp.net/attachments/1018943815370952855/1018946569850069052/unknown.png" width="200">
This repo is more accurately called *"Unfrozen Model Textual Inversion for Stable Diffusion"*.
We're not realizing the "regularization class" bits of this code have no effect, and that there is little to no prior preservation loss.
So, out of respect to both the MIT team and the Google researchers, I'm renaming this fork to:
*"Unfrozen Model Textual Inversion for Stable Diffusion"*.
For an alternate implementation that attempt prior loss preservation, please see ["Alternate Option"](#hugging-face-diffusers) below.
# <a name="using-the-generated-model"></a> Using the generated model