Z-Anime - Full Anime Fine-Tune on Z-Image Base

SeeSee21 has released Z-Anime, a groundbreaking full fine-tune of Alibaba's Z-Image Base architecture — specifically the S3-DiT (Single-Stream Diffusion Transformer) with 6 billion parameters. Unlike the common practice of merging LoRA adapters onto existing models, Z-Anime represents a complete retraining of the entire model for anime-style generation. This means it can produce significantly more coherent, detailed, and stylistically consistent anime artwork compared to typical LoRA-based approaches.

The model inherits all the strengths of Z-Image Base: rich diversity in output, strong controllability through detailed prompts, full negative prompt support to avoid unwanted elements, and a high ceiling for further fine-tuning. Early community samples show impressive results rivaling commercial services like Midjourney for anime art, with clean linework, vibrant colors, and accurate character proportions. The release is available on Hugging Face, and the developer has hinted at future iterations. For AI artists and anime enthusiasts, this represents a major step forward in open-source anime generation.