CivArchive
    AnimaYume by duongve13112002 - v1.0 (demo)
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    Checkpoint/Model created by duongve13112002 (please credit them and support them whenever you can): https://civitai.red/models/2385278/animayume Description by duongve13112002: I. Introduction AnimaYume is a text-to-image model fine-tuned from Anima https://huggingface.co/circlestone-labs/Anima , a high-quality anime-style image generation model developed by CircleStone Labs https://huggingface.co/circlestone-labs . It builds upon Cosmos 2 https://research.nvidia.com/labs/dir/cosmos-predict2/ , a model developed by NVIDIA’s research team. III. File Information This file contains only the diffusion model and does not include a VAE or text encoder. To use it properly, you will need to download those components from the link here https://huggingface.co/circlestone-labs/Anima/tree/main/split_files IV. Notes & Feedback This is an experimental fine-tuned release, and I am waiting for the final version release to tune it :D Your feedback, suggestions, and creative prompt ideas are always welcome, every contribution helps make this model even better!' V. Acknowledgments Big thanks to narugo1992 https://huggingface.co/narugo for the dataset contributions. Credit to Circlestone Labs https://huggingface.co/circlestone-labs and Nvidia https://huggingface.co/nvidia for the fantastic base model architecture. If you'd like to support my work, you can do so through Ko-fi! https://ko-fi.com/duongve

    Description

    This version was fine-tuned on Anima Base v1.0 using a variety of datasets, including Danbooru, e621, Gelbooru, and Konachan. The training approach differs from the original model in several ways. Most notably, I did not include quality score tags in the training data. I also experimented with multiple captioning styles, ranging from traditional tag-based annotations to different forms of natural language descriptions, similar to the approach I used for Netayume Lumina. Note: This release is primarily an experimental version. Unlike Netayume, I did not use my full dataset for training. (The complete dataset contains around 25 million images, and if I were to use the entire dataset, I would train a model from scratch rather than fine-tune an existing one.) Additionally, I have been quite busy recently, so I have not been able to test this model as extensively as I would like. Moreover, this model dont have any default style :L If you encounter any issues or have feedback, please feel free to share them with me. All example images were generated using prompts provided by CivitAI users, as I wanted to evaluate the model's performance under real-world prompting conditions.

    FAQ

    checkpoint
    Anima

    Details

    Downloads
    9,888
    Platform
    Yodayo
    Platform Status
    Available
    Created
    6/17/2026
    Updated
    7/18/2026
    Deleted
    -

    Files

    anima/checkpoints/700c85ed-b55b-411c-9407-b5921ba7968b.safetensors

    Size:
    3.89 GB
    SHA256:

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