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Lumina Gguf

Developed by calcuis
The GGUF quantized version of Lumina is a model specifically designed for generating high-quality images, supporting text-prompt-based generation of highly matched images.
Downloads 627
Release Time : 2/6/2025

Model Overview

This model is based on Alpha-VLLM/Lumina-Image-2.0 and optimized with GGUF quantization technology, suitable for text-to-image tasks, capable of generating high-quality anime-style images.

Model Features

High-Quality Image Generation
Capable of generating high-quality images based on text prompts, especially excelling in anime-style generation.
GGUF Quantization Support
Optimized with GGUF quantization technology to enhance operational efficiency and reduce resource usage.
Multi-Component Support
Supports flexible configuration of various components (such as VAE and text encoders) to meet diverse needs.

Model Capabilities

Text-to-Image
Anime-Style Image Generation
High-Match Image Generation

Use Cases

Anime Creation
Anime Character Design
Generate anime character images with specific features based on text descriptions.
High-quality anime character images, such as the example of a maid-dressed fox-eared girl.
Artistic Creation
Scene Design
Generate scene images with specific styles and backgrounds.
For example, the dark Victorian-style mansion kitchen scene in the example.
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