📄️ SD 1.5
Embeddings are vector representations of words or phrases. In textual inversion, embeddings are used to capture the semantic meaning of the new concept or style that you want to teach the model. The model learns to associate the embedding with the example images, allowing it to generate images that are consistent with the concept or style.
📄️ SDXL
Embeddings are vector representations of words or phrases. In textual inversion, embeddings are used to capture the semantic meaning of the new concept or style that you want to teach the model. The model learns to associate the embedding with the example images, allowing it to generate images that are consistent with the concept or style.