NetaYume-Lumina-Image-2.0

About

What NetaYume-Lumina-Image-2.0 is

NetaYume Lumina Image v2.0 I. Introduction NetaYume Lumina is a text-to-image model fine-tuned from Neta Lumina, a high-quality anime-style image generation model developed by Neta.art Lab. It builds upon Lumina-Image-2.0, an open-source base model released by the 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 NetaYumeLuminav2allinone.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) - resmultistep (with scheduler: linearquadratic) IV. Acknowledgments - narugo1992 – for the invaluable Danbooru dataset - Alpha-VLLM - for creating the a wonderful model! - Neta.art and his team – for openly sharing awesome model.

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

How it works

How image models work

Variants

Sizes & precisions

Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys netayume-lumina-image-2-0 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (netayume-lumina-image-2-0 below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"netayume-lumina-image-2-0","prompt":"a red bicycle","size":"1024x1024"}'

Details

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Licence

Open weights

Sources

Weights & code

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