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  ---
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- title: Quantum
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- emoji: 🐢
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- colorFrom: red
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- colorTo: indigo
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  sdk: gradio
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- sdk_version: 5.45.0
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  app_file: app.py
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  pinned: false
 
 
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  ---
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ title: Quantum Model Merger SDXL
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+ emoji: 🧪
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+ colorFrom: purple
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+ colorTo: blue
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  sdk: gradio
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+ sdk_version: 4.44.0
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  app_file: app.py
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  pinned: false
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+ license: mit
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+ short_description: Advanced SDXL model merger using quantum
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  ---
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+ # 🧪 Quantum Model Merger for SDXL
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+
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+ Advanced SDXL model merger using quantum-inspired FFT blending with prompt-guided fusion.
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+
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+ ## Features
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+ - Quantum-inspired FFT frequency domain blending
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+ - Prompt-guided model fusion using CLIP embeddings
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+ - Support for v-prediction models
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+ - Chunked processing for memory efficiency
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+ - ZeroGPU optimized for Hugging Face Spaces
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+
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+ ## Usage
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+ 1. Upload your base SDXL model (.safetensors)
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+ 2. Upload your secondary SDXL model (.safetensors)
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+ 3. Choose CLIP source (Base or Secondary)
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+ 4. Enter a fusion prompt to guide the merge
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+ 5. Adjust entanglement strength (0.0-1.0)
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+ 6. Click "Start Merge" and download your merged model
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+
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+ ## Credits
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+ Based on QuantumMerge-sdxl by GumGum10