| | --- |
| | base_model: |
| | - Alpha-VLLM/Lumina-Image-2.0 |
| | license: apache-2.0 |
| | tags: |
| | - text-to-image |
| | - comfyui |
| | - diffusion-single-file |
| | --- |
| | [中文版模型说明](https://huggingface.co/neta-art/Neta-Lumina/blob/main/README-ZH.md) |
| | <br> |
| | <br> |
| | [**Neta Lumina Tech Report**](https://neta.art/blog/neta_lumina/) |
| |
|
| | ## 📽️ Flash Preview |
| |
|
| | <video controls autoplay loop muted playsinline style="max-width:100%; border-radius:8px;"> |
| | <source src="https://pages-r2.neta.art/Neta_Lumina_Flash_PV.webm" type="video/webm" /> |
| | Your browser does not support the video tag. |
| | </video> |
| |
|
| | # 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**](https://nieta-art.feishu.cn/wiki/RY3GwpT59icIQlkWXEfcCqIMnQd) 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. |
| | <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-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/` |
| |
|
| | **Workflow**: load [`lumina_workflow.json`](https://huggingface.co/neta-art/Neta-Lumina/resolve/main/lumina_workflow.json) in ComfyUI. |
| |
|
| |  |
| |
|
| | - `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-v1.0-all-in-one.safetensors`](https://huggingface.co/neta-art/Neta-Lumina/blob/main/neta-lumina-v1.0-all-in-one.safetensors), |
| | `md5sum = dca54fef3c64e942c1a62a741c4f9d8a`, |
| | you may use ComfyUI’s simple checkpoint loader workflow. |
| |
|
| | ### 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 |
| | <br> |
| |
|
| | # Prompt Book |
| |
|
| | Detailed prompt guidelines: [**Neta Lumina Prompt Book**](https://neta.art/blog/neta_lumina_prompt_book/) |
| | <br> |
| |
|
| | # Community |
| |
|
| | - Discord: https://discord.com/invite/TTTGccjbEa |
| | - QQ group: 1039442542 |
| | <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 [**Apache License 2.0**](https://www.apache.org/licenses/LICENSE-2.0) |
| | <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) |
| | - **生姜**: [Hugging Face](https://huggingface.co/ssj0021) |
| | - **孙一** |
| | - [**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](https://huggingface.co/Second222), [spawner](https://github.com/spawner1145), [Rnglg2](https://civitai.com/user/Rnglg2) |
| | - **Other contributors**: [沉迷摸鱼](https://www.pixiv.net/users/22433944), [poi](https://x.com/poi______1), AshenWitch, [十分无奈](https://www.pixiv.net/users/15750592), [GHOSTLX](https://civitai.com/user/ghostlxh), [wenaka](https://civitai.com/user/Wenaka_), [iiiiii](https://civitai.com/user/Blueberries_i), [年糕特工队](https://x.com/gaonian2331), [恩匹希](https://civitai.com/user/NPCde), 奶冻, [mumu](https://civitai.com/user/mumu520), [yizyin](https://civitai.com/user/yizyin), smile, Yang, 古神, 灵之药, [LyloGummy](https://civitai.com/user/LyloGummy), 雪时 |
| | <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 |
| | |
