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MODEL Listed

animagine-xl-4.0

Animagine XL 4.0 is a specialized diffusion model optimized for high-fidelity anime and manga style generation. Unlike general-purpose models, it is fine-tuned on a massive dataset of tagged illustrations, allowing for precise control over character consistency, art styles, and complex compositions via Danbooru-style tagging. For developers, it offers a significant upgrade in anatomical accuracy and prompt adherence over previous iterations. It integrates seamlessly into existing Stable Diffusion XL pipelines, making it a drop-in replacement for projects requiring stylized visual assets, AI-driven character design, or synthetic dataset generation for creative apps. It bridges the gap between raw generative power and the specific aesthetic requirements of the ACG (Anime, Comic, Games) industry.

cagliostrolabtext to image
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01 / MODEL CARD

Model card

Animagine XL 4.0 is a specialized diffusion model optimized for high-fidelity anime and manga style generation. Unlike general-purpose models, it is fine-tuned on a massive dataset of tagged illustrations, allowing for precise control over character consistency, art styles, and complex compositions via Danbooru-style tagging. For developers, it offers a significant upgrade in anatomical accuracy and prompt adherence over previous iterations. It integrates seamlessly into existing Stable Diffusion XL pipelines, making it a drop-in replacement for projects requiring stylized visual assets, AI-driven character design, or synthetic dataset generation for creative apps. It bridges the gap between raw generative power and the specific aesthetic requirements of the ACG (Anime, Comic, Games) industry.

Model typetext to image
Providercagliostrolab
Licenseopenrail++
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/cagliostrolab/animagine-xl-4.0
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Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: cagliostrolab/animagine-xl-4.0
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model cagliostrolab/animagine-xl-4.0
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model cagliostrolab/animagine-xl-4.0 README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('cagliostrolab/animagine-xl-4.0')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/cagliostrolab/animagine-xl-4.0.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/cagliostrolab/animagine-xl-4.0.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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