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 trained on Anima Base v1.0 using my custom dataset (a mix of a small e621 dataset and Danbooru). In this release, I added many new characters and improved the existing ones. I also enhanced support for various artist styles, allowing the model to generate results that are much closer to the original styles. In addition, the model now understands some concepts and knowledge from e621, although the support is still limited.
Notes: I’ve only tested the model with a few simple test cases so far, so if you encounter any issues, feel free to let me know. This release can be considered a demo version showcasing my new training method, which focuses on preserving existing knowledge while adding new knowledge at the same time. The release also came sooner because I was finally able to use all the resources I had available :D
FAQ
Details
Downloads
9,888
Platform
Yodayo
Platform Status
Available
Created
5/22/2026
Updated
5/22/2026
Deleted
-
