They both start with a base model like Stable Diffusion v1.4 or v1.5.Īdditional training is achieved by training a base model with an additional dataset you are interested in. Two main fine-tuning methods are (1) Additional training and (2) Dreambooth. Instead of tinkering with the prompt, you can fine-tune the model with images of that sub-genre. But it could be difficult to generate images of a sub-genre of anime. For example, it can and will generate anime-style images with the keyword “anime” in the prompt. Stable diffusion is great but is not good at everything. It takes a model that is trained on a wide dataset and trains a bit more on a narrow dataset.Ī fine-tuned model will be biased toward generating images similar to your dataset while maintaining the versatility of the original model. Fine-tuning is a common technique in machine learning.
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