Maintainer: FredZhang7

Total Score


Last updated 5/28/2024


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 anime-anything-promptgen-v2 model is a text-to-image generation model developed by FredZhang7 to create detailed, high-quality anime-style prompts for text-to-image models like Anything V4. This model was trained on a dataset of 80,000 safe anime prompts and has been optimized to generate fluent, varied prompts without the gibberish outputs present in the previous version.

The model can be used alongside other similar anime-focused text-to-image models like Dreamlike Anime 1.0 and Animagine XL 2.0 to create unique and high-quality anime-inspired artwork.

Model inputs and outputs


  • Text prompt describing the desired anime image


  • Generated text prompt that can be used as input for a text-to-image model like Anything V4 to produce the desired anime-style image


The anime-anything-promptgen-v2 model excels at generating detailed, varied, and coherent anime-style prompts. By removing random usernames from the training data, the model avoids the gibberish outputs present in the previous version. The generated prompts can be used to create a wide range of anime-inspired scenes and characters, from whimsical to intricate.

What can I use it for?

The anime-anything-promptgen-v2 model can be a valuable tool for artists, designers, and enthusiasts looking to create unique and visually striking anime-style artwork. It can be integrated into creative workflows, enabling users to quickly generate prompts that can then be used as input for text-to-image models to produce the desired images.

Additionally, the model could be used in educational or research settings to explore the intersection of natural language processing and generative art, or to study the characteristics and stylistic nuances of anime-inspired visual content.

Things to try

One interesting thing to explore with the anime-anything-promptgen-v2 model is the use of contrastive search, which allows you to generate multiple variations of a prompt and select the most appealing result. By adjusting parameters like temperature, top-k, and repetition penalty, you can fine-tune the level of diversity and coherence in the generated prompts, enabling you to find the perfect starting point for your text-to-image creations.

Another avenue to explore is the use of the provided anime_girl_settings.txt and anime_boy_settings.txt files, which contain pre-generated prompts for 1girl and 1boy scenarios. Experimenting with these pre-defined prompts can help you quickly generate diverse anime-style images and inspire new ideas for your own prompts.

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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