: I just found a way to reduce the GPU memory a bit. In fact, due to lazyness, some components in Textual Inversion, such as the embedding manager, are not deleted, although they will never be used here. The implementation makes minimum changes over the official codebase of Textual Inversion. Note that Textual Inversion only optimizes word ebedding, while dreambooth fine-tunes the whole diffusion model. This code repository is based on that of Textual Inversion. To enable people to fine-tune a text-to-image model with a few examples, I implemented the idea of Dreambooth on Stable diffusion. However, neither the model nor the pre-trained weights of Imagen is available. The original Dreambooth is based on Imagen text-to-image model. This is an implementtaion of Google's Dreambooth with Stable Diffusion.
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