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--- |
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library_name: transformers |
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tags: |
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- quantization |
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- 4-bit |
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- chain-of-zoom |
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- super-resolution |
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- diffusion |
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- bitsandbytes |
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base_model: stabilityai/stable-diffusion-3-medium-diffusers |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: image-generation-super-resolution |
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--- |
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# Stable Diffusion 4-bit Quantized for Chain-of-Zoom |
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## 📋 Model Description |
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4-bit quantized Stable Diffusion components optimized for super-resolution |
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This model is part of the **Chain-of-Zoom 4-bit Quantized Pipeline** - a memory-optimized version of the original Chain-of-Zoom super-resolution framework. |
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## 🎯 Key Features |
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- **4-bit Quantization**: Uses BitsAndBytes NF4 quantization for 75% memory reduction |
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- **Maintained Quality**: Comparable performance to full precision models |
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- **Google Colab Compatible**: Runs on T4 GPU (16GB VRAM) |
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- **Memory Efficient**: Optimized for low-resource environments |
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## 📊 Quantization Details |
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- **Method**: BitsAndBytes NF4 4-bit quantization |
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- **Compute dtype**: bfloat16/float16 |
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- **Double quantization**: Enabled |
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- **Memory reduction**: ~75% compared to original |
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- **Original memory**: ~12GB → **Quantized**: ~3GB |
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## 🚀 Usage |
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```python |
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# Install required packages |
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pip install transformers accelerate bitsandbytes torch |
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# Load quantized model |
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from transformers import BitsAndBytesConfig |
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import torch |
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# 4-bit quantization config |
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bnb_config = BitsAndBytesConfig( |
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load_in_4bit=True, |
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bnb_4bit_quant_type="nf4", |
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bnb_4bit_use_double_quant=True, |
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bnb_4bit_compute_dtype=torch.bfloat16 |
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) |
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# Model-specific loading code here |
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# (See complete notebook for detailed usage) |
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``` |
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## 📈 Performance |
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- **Quality**: Maintained performance vs full precision |
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- **Speed**: 2-3x faster inference |
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- **Memory**: 75% reduction in VRAM usage |
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- **Hardware**: Compatible with T4, V100, A100 GPUs |
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## 🔧 Technical Specifications |
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- **Created**: 2025-06-08 16:30:09 |
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- **Quantization Library**: BitsAndBytes |
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- **Framework**: PyTorch + Transformers |
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- **Precision**: 4-bit NF4 |
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- **Model Size**: 0.00017261505126953125 MB |
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## 📝 Citation |
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```bibtex |
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@misc{chain-of-zoom-4bit-diffusion, |
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title={Chain-of-Zoom 4-bit Quantized Stable Diffusion 4-bit Quantized for Chain-of-Zoom}, |
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author={humbleakh}, |
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year={2024}, |
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publisher={Hugging Face}, |
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url={https://huggingface.co/humbleakh/stable-diffusion-4bit-chain-of-zoom} |
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} |
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``` |
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## 🔗 Related Models |
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- [Complete Chain-of-Zoom 4-bit Pipeline](humbleakh/chain-of-zoom-4bit-complete) |
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- [Original Chain-of-Zoom](https://github.com/bryanswkim/Chain-of-Zoom) |
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## ⚠️ Limitations |
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- Requires BitsAndBytes library for proper loading |
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- May have slight quality differences compared to full precision |
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- Optimized for inference, not fine-tuning |
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## 📄 License |
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Apache 2.0 - See original model licenses for specific components. |
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