S

Stable Diffusion Xl 1.0 Turbo GGUF

Developed by gpustack
SDXL-Turbo is a fast text-to-image model that generates realistic images from text prompts with just a single network inference, optimized for real-time synthesis.
Downloads 278
Release Time : 11/10/2024

Model Overview

A distilled version based on SDXL 1.0, trained with Adversarial Diffusion Distillation (ADD), capable of maintaining high-quality image output with only 1-4 sampling steps. Suitable for real-time image generation applications.

Model Features

Real-time image generation
Generates high-quality images with just one network inference, ideal for real-time applications.
Adversarial Diffusion Distillation training
Utilizes the novel ADD training method, combining score distillation and adversarial loss to ensure image quality with low sampling steps.
High-resolution support
Default output resolution of 512x512, with support for higher resolutions.

Model Capabilities

Text-to-image generation
Image-to-image conversion
Real-time image synthesis

Use Cases

Creative design
Art creation
Quickly generate artworks based on text descriptions
High-quality artistic images
Concept design
Generate concept images for product designs quickly
Diverse design solutions
Educational tools
Creative teaching
Used as an inspiration tool for art and design courses
Real-time visualization of teaching content
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