Creating a Consistent Character as a Textual Inversion Embedding with Stable Diffusionhttps://github.com/BelieveDiffusion/tutorials/blob/main/consistent_character_embedding/README.md
The tutorial provides a comprehensive guide on creating consistent characters using Stable Diffusion (SD) and a Textual Inversion embedding. It outlines a five-step process, including generating input images, filtering them based on desired attributes, tagging them for training, training the embedding, and selecting a validated iteration. The tutorial emphasizes the importance of generating high-quality input images, filtering out unwanted variations, and fine-tuning the selection to achieve consistency. By following this tutorial, users can learn how to generate consistent characters with SD and create an embedding that reliably recreates the desired character across different poses, hairstyles, body types, and prompts.