Shotadiffusionv02_5000.ckpt -

: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021). This is the base architecture.

: LoRA: Low-Rank Adaptation of Large Language Models (Hu et al., 2021). Often used for efficient fine-tuning of these models. ShotaDiffusionV02_5000.ckpt

: DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation (Ruiz et al., 2022). This explains how specific styles/characters are added to the model. Often used for efficient fine-tuning of these models

: This is a fine-tuned version of the Stable Diffusion model, specifically trained on a dataset of images to achieve a particular artistic style (in this case, "shota" anime aesthetics). : This is a fine-tuned version of the

If you are looking for the scientific foundation behind this model, you should refer to the original research papers that enable this type of image generation:

: Most models with "5000" in the name refer to the number of training steps performed using tools like Dreambooth or LoRA .