|
|
--- |
|
|
pipeline_tag: text-to-image |
|
|
license: apache-2.0 |
|
|
base_model: |
|
|
- neta-art/Neta-Lumina |
|
|
- Alpha-VLLM/Lumina-Image-2.0 |
|
|
tags: |
|
|
- stable-diffusion |
|
|
- text-to-image |
|
|
- comfyui |
|
|
- diffusion-single-file |
|
|
--- |
|
|
|
|
|
# NetaYume Lumina Image v2.0 |
|
|
 |
|
|
|
|
|
--- |
|
|
**I. Introduction** |
|
|
|
|
|
NetaYume Lumina is a text-to-image model fine-tuned from [Neta Lumina](https://huggingface.co/neta-art/Neta-Lumina), a high-quality anime-style image generation model developed by [Neta.art Lab](https://huggingface.co/neta-art). It builds upon [Lumina-Image-2.0](https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0), an open-source base model released by the [Alpha-VLLM](https://huggingface.co/Alpha-VLLM) team at Shanghai AI Laboratory. |
|
|
|
|
|
This model was trained with the goal of not only generating realistic human images but also producing high-quality anime-style images. Despite being fine-tuned on a specific dataset, it retains a significant amount of knowledge from the base model. |
|
|
|
|
|
**Key Features:** |
|
|
- **High-Quality Anime Generation**: Generates detailed anime-style images with sharp outlines, vibrant colors, and smooth shading. |
|
|
- **Improved Character Understanding**: Better captures characters, especially those from the Danbooru dataset, resulting in more coherent and accurate character representations. |
|
|
- **Enhanced Fine Details**: Accurately generates accessories, clothing textures, hairstyles, and background elements with greater clarity. |
|
|
|
|
|
|
|
|
The file NetaYume_Lumina_v2_all_in_one.safetensors is an all-in-one file that contains the necessary weights for the VAE, text encoder, and image backbone to be used with ComfyUI. |
|
|
|
|
|
--- |
|
|
|
|
|
**II. Model Components & Training Details** |
|
|
- **Text Encoder**: Pre-trained **Gemma-2-2b** |
|
|
- **Variational Autoencoder**: Pre-trained **Flux.1 dev's VAE** |
|
|
- **Image Backbone**: Fine-tune **NetaLumina's Image Backbone** |
|
|
|
|
|
--- |
|
|
|
|
|
**III. Suggestion** |
|
|
|
|
|
**System Prompt:** This help you generate your desired images more easily by understanding and aligning with your prompts. |
|
|
|
|
|
For anime-style images using Danbooru tags: |
|
|
|
|
|
You are an assistant designed to generate anime images based on textual prompts. |
|
|
|
|
|
You are an assistant designed to generate high-quality images based on user prompts and danbooru tags. |
|
|
|
|
|
**Recommended Settings** |
|
|
- CFG: 4–7 |
|
|
- Sampling Steps: 40-50 |
|
|
- Sampler: |
|
|
- Euler a (with scheduler: normal) |
|
|
- res_multistep (with scheduler: linear_quadratic) |
|
|
|
|
|
--- |
|
|
**IV. Acknowledgments** |
|
|
- [narugo1992](https://huggingface.co/narugo) – for the invaluable Danbooru dataset |
|
|
- [Alpha-VLLM](https://huggingface.co/Alpha-VLLM) - for creating the a wonderful model! |
|
|
- [Neta.art](https://huggingface.co/neta-art/Neta-Lumina) and his team – for openly sharing awesome model. |
