Anime Style [LTX-2]

Creates videos in a modern HD anime style.

The primary trigger is "An1meStyl3," but it is recommended to also include the tag "AnimeStyle" alongside it and add "realistic, photograph, 3d animation" to your negative prompt. Additionally, it helps to refer to your subjects as anime characters somewhere in the prompt; for example, instead of "an old man," you should refer to him as "an old anime man" at least once.

This is intended to be a general-use anime LoRA, so it was trained from stills and clips of a diverse set of shows that have a common general art style, rather than fixating on a particular show or creator, as to avoid directly producing results that resemble any particular illustrator's signature style or creative choices.

California AB 2013 Training Data Disclosure

• This LoRA was fine-tuned using visual data consisting primarily of still images sourced from animated television series, along with a limited amount of publicly available fan-created renderings and AI-generated images. The training data includes copyrighted material owned by third parties, including animation studios, production committees, distributors, and individual artists. No training data was licensed or purchased. This LoRA is provided for non-commercial use only under the terms of its distribution.

• The dataset for Version 1 consists of over 1,500 images collected from publicly accessible sources across more than a dozen animated series between approximately 2000 and 2025. Image data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic images were included as part of the training dataset. It also incorporates approximately 200–250 video clips sourced from several different animated series. Clips were used as video sequences to support motion and temporal consistency.

• The dataset for Version 2 consists of over 1,500 images and over 750 clips collected from publicly accessible sources across more than a dozen animated series between approximately 2000 and 2026. Data was processed through standard resizing, cropping, normalization, and labeling steps. Synthetic data was included as part of the training dataset. Clips were used as video sequences to support motion, lip sync, voice training, and temporal consistency.

• This model is intended for non-commercial, experimental, and educational use. Generated outputs may reflect copyrighted visual styles or themes associated with the underlying training data. Users are responsible for ensuring compliance with applicable copyright law, other intellectual property laws, and all other applicable laws.