# FLUX Optimization: Merge of Flux-dev-nf4 + ViT-L-14-TEXT

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## **Authors and Collaborators**
- Project developed in collaboration with lllyasviel, zer0int, and aratan
- **Flux-dev-nf4 + ViT-L-14-TEXT**: lllyasviel, zer0int
- **Merge creator**: Aratan | [Aratan's GitHub](https://github.com/aratan)
- Inspiration and technical support from their advancements in FLUX

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## **Model Introduction**
- Optimized FLUX model for text generation tasks
- Total size: **11.6 GB**
- No need to load additional data or files

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## **Key Features**

### Lightweight Architecture
- Optimized and simplified design
- Reduced layers and parameters
- Implementation of compressed layers that preserve output quality

### Advanced Compression Techniques
- **Quantization**: reduces parameter space without sacrificing accuracy
- **Pruning**: eliminates unnecessary nodes or layers

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## **Memory and Context Management**
- Trained to handle an effective and relevant context
- Dynamic algorithms to adjust context according to the task

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## **Independence from External Resources**
- Self-contained: integrated structures and vocabulary
- No additional data or external files required

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## **Model Advantages**
- Efficient solution for text generation
- Lightweight, rapid implementation without extra resources
- Ideal for systems with managed memory and context

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### ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62a350995fbca9697119dddc/gk9H0cehMRIRs20UccG2t.png)
- **High-resolution photo**: Woman surprised holding a sign saying "vendo PC"
- **Details**: Background with computers and cables
- **Technical Specifications**: Size 896x1152, FLUX-text-nf4 Model, Advanced CFG scale: 1.

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## Conclusion
The optimized FLUX model for text generation offers an advanced solution with notable benefits in efficiency, lightweight structure, and resource independence. It combines modern compression and simplification techniques to provide high performance without external resource dependency.

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