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SDXL GGUF

Developed by HyperX-Sentience
GGUF-format quantized version of Stable Diffusion XL, offering different quantization levels to accommodate various hardware configurations.
Downloads 2,189
Release Time : 3/6/2025

Model Overview

This model is a quantized version of Stable Diffusion XL, supporting text-to-image tasks and including UNet, VAE, and CLIP components, suitable for diverse hardware environments.

Model Features

Multiple Quantization Levels
Offers Q4_K_S, Q5_K_S, and Q8 quantization levels to suit different hardware configurations.
Component Separation
UNet, VAE, and CLIP components are provided separately for easier optimization and compatibility adjustments.
Hardware Adaptability
Supports various configurations from low VRAM environments to high-performance hardware.

Model Capabilities

Text-to-Image
Image Generation
Multi-level Quantization Inference

Use Cases

Creative Design
Art Creation
Generate high-quality artistic images
Produces artistic images based on text descriptions
Advertisement Design
Quickly generate advertising materials
Creates appealing advertisement images based on product descriptions
Education
Teaching Assistance
Generate educational illustrations
Produces intuitive diagrams based on teaching content
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