MossYume

作者：duongve13112002

I. Introduction MossYume is a text-to-image model fine-tuned from MossImage-base, a high-quality image generation model developed by OpenMOSS-Team. II. Information For version 0.1:

• Pure Human-Created Dataset: Trained on 20 million curated images spanning both anime and realistic styles, without any AI-generated images or model distillation.

• Balanced Domain Distribution: Maintains 1:1 ratio between anime and realistic imagery.

• Multi-Resolution Training: Trained across dynamic resolutions ranging from 1024px to 2048px.

• Anime Data Sources: Sourced from Danbooru (updated up to April 9, 2026), e621, Gelbooru, Pixiv, and Konachan.

• Native 2K Support: Capable of native high-resolution inference up to 2048×2048 (as you can see from my example images).

• For this, I recommend you using complex to generate better images

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

IV. Notes & Feedback This is an independent, community-driven experiment created out of a passion for exploring the untapped potential of the MOSS architecture. The primary goal of this fine-tune is to resolve anatomical inconsistencies and stabilize irregular weight distributions present in the original base model.

Your feedback, suggestions, and creative prompt ideas are always welcome, every contribution helps make this model even better! V. Acknowledgments

• Big thanks to narugo1992 for the dataset contributions and Neta.art for sharing the richly detailed dataset originally curated for Neta Lumina.

• Credit to OpenMOSS-Team for the fantastic base model architecture.

If you'd like to support my work, you can do so through Ko-fi!