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Introduction

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

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.
  

How  to  Use

ComfyUI

Environment Requirements

• Latest ComfyUI installation
• ≥ 8 GB VRAM

Downloads & Installation

1. Neta Lumina-Beta
   • Download link: https://huggingface.co/neta-art/Neta-Lumina/blob/main/Unet/neta-lumina-v1.0.safetensors
   • Save path: ComfyUI/models/unet/
2. Text Encoder (Gemma-2B)
   • Download link:https://huggingface.co/neta-art/Neta-Lumina/blob/main/Text%20Encoder/gemma_2_2b_fp16.safetensors
   • Save path: ComfyUI/models/text_encoders/
3. VAE Model (16-Channel FLUX VAE)
   • Download link: https://huggingface.co/neta-art/Neta-Lumina/blob/main/VAE/ae.safetensors
   • Save path: ComfyUI/models/vae/

• UNETLoader – loads the .pth
• VAELoader – loads ae.safetensors
• CLIPLoader – loads gemma_2_2b_fp16.safetensors
• Text Encoder – connects positive /negative prompts to K Sampler

Recommended Settings

• Sampler: res_multistep/ euler_ancestral
• Scheduler: linear_quadratic
• Steps: 30
• CFG (guidance): 4 – 5.5
• EmptySD3LatentImage resolution: 1024 × 1024, 768 × 1532, 968 × 1322, or >= 1024
  

Prompt Book

Community

• Discord: https://discord.com/invite/TTTGccjbEa
• QQ group: 1039442542
  

Roadmap

Model

• Continous base‑model training to raise reasoning capability.
• Aesthetic‑dataset iteration to improve anatomy, background richness, and overall appealness.
• Smarter, more versatile tagging tools to lower the creative barrier.

Ecosystem

• LoRA training tutorials and components
  • Experienced users may already fine‑tune via Lumina‑Image‑2.0’s open code.
• Development of advanced control / style‑consistency features (e.g., Omini Control). Call for Collaboration!
  

License & Disclaimer

• Neta Lumina is released under Apache License 2.0
  

Participants & Contributors

• Special thanks to the Alpha‑VLLM team for open‑sourcing Lumina‑Image‑2.0
• Model development: Neta.art Lab (Civitai)
  • Core Trainer: li_li Civitai ・ Hugging Face
    
• Partners
  • nebulae: Civitai ・ Hugging Face
  • 生姜: Hugging Face
  • 孙一
• narugo1992 & deepghs: open datasets, processing tools, and models
• Naifu trainer at Mikubill
  

Community Contributors

• Evaluators & developers: 二小姐, spawner, Rnglg2
• Other contributors: 沉迷摸鱼, poi, AshenWitch, 十分无奈, GHOSTLX, wenaka, iiiiii, 年糕特工队, 恩匹希, 奶冻, mumu, yizyin, smile, Yang, 古神, 灵之药, LyloGummy, 雪时
  

Appendix & Resources

• TeaCache: https://github.com/spawner1145/CUI-Lumina2-TeaCache
• Advanced samplers & TeaCache guide (by spawner): https://docs.qq.com/doc/DZEFKb1ZrZVZiUmxw?nlc=1
• Neta Lumina ComfyUI Manual (in Chinese): https://docs.qq.com/doc/DZEVQZFdtaERPdXVh