Update README.md

README.md

@@ -5,144 +5,5 @@ license: other
 license_name: fair-ai-public-license-1.0-sd
 license_link: https://freedevproject.org/faipl-1.0-sd/
 ---
-[中文版模型说明](https://huggingface.co/neta-art/Neta-Lumina/blob/main/README-ZH.md)
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/655319e00166ff6bd2351948/yp3wklEAT2JJ000dqqr1r.png)
-
-# 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-beta-0624-raw
-
-- **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**](https://nieta-art.feishu.cn/wiki/RVBgwvzBqiCvQ7kOMm1cM6NdnNc) for better results.
-
-### neta-lumina-beta-0624-aes-experimental
-
-- 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. 
-<br>
-
-# How  to  Use
-
-[Try it at Hugging Face playground](https://huggingface.co/spaces/neta-art/NetaLumina_T2I_Playground)
-
-## ComfyUI
-Neta Lumina is built on the **Lumina2 Diffusion Transformer (DiT)** framework, please follow these steps precisely.
-
-### Environment Requirements
-
-Currently Neta Lumina runs only on ComfyUI:
-- Latest ComfyUI installation
-- ≥ 8 GB VRAM
-
-### Downloads & Installation
-
-**Original (component) release**
-
-1. **Neta Lumina-Beta**
-   - Download link: https://huggingface.co/neta-art/Neta-Lumina/blob/main/Unet/neta-lumina-beta-aes-experimental-0624.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/`
-
-**Workflow**: load [`lumina_workflow.json`](https://huggingface.co/neta-art/Neta-Lumina/resolve/main/lumina_workflow.json) in ComfyUI.
-
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/655319e00166ff6bd2351948/XPWf7M1OE5DogKwNlnQIk.png)
-
-- `UNETLoader` – loads the `.pth`
-- `VAELoader` – loads `ae.safetensors`
-- `CLIPLoader` – loads `gemma_2_2b_fp16.safetensors`
-- `Text Encoder` – connects positive /negative prompts to K Sampler
-
-**Simple merged release**  
-Download [`neta-lumina-beta-0624-all-in-one.safetensors`](https://huggingface.co/neta-art/Neta-Lumina/tree/main),  
-`md5sum = dca54fef3c64e942c1a62a741c4f9d8a`,  
-you may use ComfyUI’s simple checkpoint loader workflow.
-
-### Recommended Settings
-
-- **Sampler**: `res_multistep`
-- **Scheduler**: `linear_quadratic`
-- **Steps**: 30
-- **CFG (guidance)**: 4 – 5.5
-- **EmptySD3LatentImage resolution**: 1024 × 1024, 768 × 1532, or 968 × 1322
-<br>
-
-# Prompt Book
-
-Detailed prompt guidelines: [**Neta Lumina Prompt Book**](https://nieta-art.feishu.cn/wiki/RVBgwvzBqiCvQ7kOMm1cM6NdnNc)
-<br>
-
-# Community
-
-- Discord: https://discord.com/invite/TTTGccjbEa  
-- QQ group: 785779037
-<br>
-
-# 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](https://arxiv.org/pdf/2411.15098)). [**Call for Collaboration!**](https://discord.com/invite/TTTGccjbEa)
-<br>
-
-# License & Disclaimer
-
-- Neta Lumina is released under the [**Fair AI Public License 1.0‑SD**](https://freedevproject.org/faipl-1.0-sd/)
-- Any modifications, merges, or derivative models must themselves be open‑sourced.
-<br>
-
-# 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](https://civitai.com/user/li_li) ・ [Hugging Face](https://huggingface.co/heziiiii)
-<br>
-- **Partners**  
-  - **nebulae**: [Civitai](https://civitai.com/user/kitarz) ・ [Hugging Face](https://huggingface.co/NebulaeWis)
-- [**narugo1992**](https://github.com/narugo1992) & [**deepghs**](https://huggingface.co/deepghs): open datasets, processing tools, and models
-- [**Naifu**](https://github.com/Mikubill/naifu) trainer at [Mikubill](https://github.com/Mikubill)
-<br>
-
-# Community Contributors
-
-**Evaluators & developers**: 二小姐, spawner, Rnglg2  
-**Other contributors**: 沉迷摸鱼, poi氵, ashan, 十分无奈, GHOSTLXH, wenaka, iiiiii, 年糕特工队, 恩匹希, 奶冻美宣集, mumu, yizyin, smile
-<br>
-
-# 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
+Support the original: 
+Forked from here https://huggingface.co/neta-art/Neta-Lumina