Textual Inversion is a method that allows you to use your own images to train a small file called embedding that can be used on every model of Stable Diffusion. You can train any subject you want (a character, a pet, an object, a concept, a style, etc..), all of that with a few images. These small files are very easy to share with the community since they only take a few kilobytes of space. In this video, I will show you how you can train your own face using Textual Inversion embeddings and then use that embedding to apply your face to any models of Stable Diffusion made by the ai community and all of that only by training it one time!
Did you manage to train an embedding? Let me know in the comments!
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Thanks to Zyin on reddit for his amazing post that helped me make this video possible: / detailed_guide_on_training_embeddings_on_a
Mila Kunis embedding by bionic_oldmando: https://civitai.com/models/4318/mila...
birme: https://www.birme.net/?target_width=5...
progressive learning rates:
0.05:10, 0.02:20, 0.01:60, 0.005:200, 0.002:500, 0.001:3000, 0.0005
#stablediffusion #textualinversion #stablediffusiontutorial
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