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---
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. |