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Stable Diffusion Xl Refiner 1.0 GGUF

Developed by gpustack
SDXL 1.0-refiner is a latent diffusion model developed by Stability AI, focusing on the image refinement stage, which can work with the base model to generate high-quality images.
Downloads 44.91k
Release Time : 11/8/2024

Model Overview

This model serves as the refinement stage in the SDXL pipeline, performing final denoising on latent representations generated by the base model to enhance image quality. Supports text-to-image and image-to-image conversion.

Model Features

Expert Ensemble Process
Works with the base model through a two-stage process to generate higher quality images
High-Resolution Optimization
Focuses on final denoising steps, particularly suitable for high-resolution image generation
SDEdit Technology Support
Supports optimization and improvement of existing images using the same prompt
Multi-Text Encoder
Integrates two pretrained text encoders: OpenCLIP-ViT/G and CLIP-ViT/L

Model Capabilities

Text-to-image generation
Image-to-image conversion
Image refinement optimization
High-resolution image generation

Use Cases

Creative Arts
Digital Art Creation
Used by artists and designers to quickly generate creative concepts and artworks
Can generate digital artworks in diverse styles
Concept Design
Used in the conceptual design phase for products, games, or films
Rapid visualization of design concepts
Educational Tools
Teaching Assistance
Generates visual aids for educational content
Enhances visual presentation of teaching materials
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