Introduction
Neta Lumina is a high‑quality anime‑style image‑generation model developed by Neta.art Lab. Building on the open‑source Lumina‑Image‑2.0 released by the Alpha‑VLLM team at Shanghai AI Laboratory, we fine‑tuned the model with a vast corpus of high‑quality anime images and multilingual tag data. The preliminary result is a compelling model with powerful comprehension and interpretation abilities (thanks to Gemma text encoder), ideal for illustration, posters, storyboards, character design, and more.
Key Features
Optimized for diverse creative scenarios such as Furry, Guofeng (traditional‑Chinese aesthetics), pets, etc.
Wide coverage of characters and styles, from popular to niche concepts. (Still support danbooru tags!)
Accurate natural‑language understanding with excellent adherence to complex prompts.
Native multilingual support, with Chinese, English, and Japanese recommended first.
Model Versions
For models in alpha tests, requst access at https://huggingface.co/neta-art/NetaLumina_Alpha if you are interested. We will keep updating.
neta-lumina-v1.0
Official Release: overall best performance
neta-lumina-beta-0624-raw (archived)
Primary Goal: General knowledge and anime‑style optimization
Data Set: >13 million anime‑style images
>46,000 A100 Hours
Higher upper limit, suitable for pro users. Check Neta Lumina Prompt Book for better results.
neta-lumina-beta-0624-aes-experimental (archived)
First beta release candidate
Primary Goal: Enhanced aesthetics, pose accuracy, and scene detail
Data Set: Hundreds of thousands of handpicked high‑quality anime images (fine‑tuned on an older version of raw model)
User-friendly, suitable for most people.