---
title: Quantum Model Merger SDXL
emoji: 🧪
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
short_description: Advanced SDXL model merger using quantum
---

# 🧪 Quantum Model Merger for SDXL

Advanced SDXL model merger using quantum-inspired FFT blending with prompt-guided fusion.

## Features
- Quantum-inspired FFT frequency domain blending
- Prompt-guided model fusion using CLIP embeddings
- Support for v-prediction models
- Chunked processing for memory efficiency
- ZeroGPU optimized for Hugging Face Spaces

## Usage
1. Upload your base SDXL model (.safetensors)
2. Upload your secondary SDXL model (.safetensors)
3. Choose CLIP source (Base or Secondary)
4. Enter a fusion prompt to guide the merge
5. Adjust entanglement strength (0.0-1.0)
6. Click "Start Merge" and download your merged model

## Credits
Based on QuantumMerge-sdxl by GumGum10