Maintainer: JosefJilek

Total Score


Last updated 5/21/2024

Model LinkView on HuggingFace
API SpecView on HuggingFace
Github LinkNo Github link provided
Paper LinkNo paper link provided

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Model Overview

The loliDiffusion model is a text-to-image diffusion model created by JosefJilek that aims to improve the generation of loli characters compared to other models. This model has been fine-tuned on a dataset of high-quality loli images to enhance its ability to generate this specific style.

Similar models like EimisAnimeDiffusion_1.0v, Dreamlike Anime 1.0, waifu-diffusion, and mo-di-diffusion also focus on generating high-quality anime-style images, but with a broader scope beyond just loli characters.

Model Inputs and Outputs


  • Textual Prompts: The model takes in text prompts that describe the desired image, such as "1girl, solo, loli, masterpiece".
  • Negative Prompts: The model also accepts negative prompts that describe unwanted elements, such as "EasyNegative, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, multiple panels, aged up, old".


  • Generated Images: The primary output of the model is high-quality, anime-style images that match the provided textual prompts. The model is capable of generating images at various resolutions, with recommendations to use standard resolutions like 512x768.


The loliDiffusion model is particularly skilled at generating detailed, high-quality images of loli characters. The prompts provided in the model description demonstrate its ability to create images with specific features like "1girl, solo, loli, masterpiece", as well as its flexibility in handling negative prompts to improve the generated results.

What Can I Use It For?

The loliDiffusion model can be used for a variety of entertainment and creative purposes, such as:

  • Generating personalized artwork and illustrations featuring loli characters
  • Enhancing existing anime-style images with loli elements
  • Exploring and experimenting with different loli character designs and styles

Users should be mindful of the sensitive nature of loli content and ensure that any use of the model aligns with applicable laws and regulations.

Things to Try

Some interesting things to try with the loliDiffusion model include:

  • Experimenting with different combinations of positive and negative prompts to refine the generated images
  • Combining the model with other text-to-image or image-to-image models to create more complex or layered compositions
  • Exploring the model's performance at higher resolutions, as recommended in the documentation
  • Comparing the results of loliDiffusion to other anime-focused models to see the unique strengths of this particular model

Remember to always use the model responsibly and in accordance with the provided license and guidelines.

This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!

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