







Hi everyone, as always, all comments and criticisms are welcome, as they help me to continue learning!
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➤ Info: 150-step TI trained on a dataset of 30 images
This time use a different configuration.
Vectors per token: 6
Gradient accumulation steps: 15
The rest of the training is as usual.
Here is the article where I explain step by step how to create a Textual Inversion my way:
https://civitai.com/articles/692
➤ Based on lucillaj (photo model)
1. Hak untuk model yang diposting ulang adalah milik pembuat aslinya.
2. Pencipta asli yang ingin mengklaim model harap hubungi staf SeaArt AI melalui saluran resmi. Klik untuk mengklaim
