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README.md

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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
+![NetaYume Lumina Image v2.0](./Example/Demo_v2.png)
+This model is based on [Lumina-Image-2.0](https://huggingface.co/Alpha-VLLM/Lumina-Image-2.0), which is a DIT model with 2 billions parameter flow-based diffusion transformer. For more information, visit [here](https://github.com/Alpha-VLLM/Lumina-Image-2.0).
+
+---
+**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.
+
+---
+
+2. 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**
+
+---
+
+3. 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: 4–8
+- Sampling Steps: 40-50
+- Sampler:
+	- Euler a (with scheduler: normal)
+	- res_multistep (with scheduler: linear_quadratic)
+
+---
+4. 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 Lumina](https://huggingface.co/neta-art/Neta-Lumina) and his team – for openly sharing a wonderful model.