







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. Los derechos de los modelos republicados pertenecen a los creadores originales.
2. Si los creadores originales desean reclamar su modelo, contacten al personal de SeaArt AI a través de canales oficiales. Haz clic para reclamar
