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A newer version of the Gradio SDK is available: 6.2.0

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metadata
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