Shotadiffusionv02_5000.ckpt Here

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

: High-Resolution Image Synthesis with Latent Diffusion Models (Rombach et al., 2021). This is the base architecture. ShotaDiffusionV02_5000.ckpt

The file is not associated with an academic or "proper" paper. Instead, it is a community-created checkpoint (model weight file) for Stable Diffusion , likely developed by an enthusiast and hosted on platforms like Civitai or Hugging Face. Understanding the Model : Most models with "5000" in the name

: 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. The file is not associated with an academic

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:

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