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Sdxl Vae Midjourneyv6 Ft Wrong
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Sdxl Vae Midjourneyv6 Ft Wrong

Developed by lavinal712
This is an autoencoder fine-tuned from StabilityAI's SDXL-VAE model, focusing on image reconstruction tasks.
Image Generation EnglishOpen Source License:MIT#MidJourney Style Reconstruction#Image Enhancement Decoder#Quantized Convolution Optimization
Downloads 31
Release Time : 3/23/2025

Model Overview

The model improves reconstruction performance on MidJourney-style images by fine-tuning the decoder and quantized convolution modules of SDXL-VAE, making it suitable for image generation and editing tasks.

Model Features

MidJourney Style Optimization
Specially optimized for the MidJourney v6 dataset, enhancing reconstruction capabilities for artistic-style images
Modular Fine-tuning
Only the decoder and quantized convolution modules are fine-tuned, maintaining model stability
Multi-Metric Evaluation
Comprehensive performance evaluation using various metrics such as rFID, PSNR, SSIM, LPIPS, and gFID

Model Capabilities

Image Reconstruction
Style Preservation
Image Editing

Use Cases

Creative Design
Artistic Image Enhancement
High-quality reconstruction and enhancement of images generated by MidJourney
Improves image quality while preserving the original artistic style
Content Generation
Image Style Transfer
Convert ordinary images into MidJourney-style images
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