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This repository hosts three core model files with distinct characteristics: + +| Model File Name | Type | Key Features | +|-----------------|------|--------------| +| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors` | 4-step Distilled LoRA | BF16 precision, lightweight, 4-step inference | +| `Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors` | 4-step Distilled LoRA | FP32 precision, high accuracy, 4-step inference | +| `qwen_image_edit_2511_fp8_e4m3fn_scaled_lightning.safetensors` | FP8 Quantized | FP8 (e4m3fn scaled) precision, fused with 4-step distilled LoRA, optimized for low-memory deployment | + +## Usage Instructions +This model suite supports two mainstream usage frameworks, with detailed guides provided below: + +### 1. Qwen-Image-Lightning Framework +For full documentation on model usage within the Qwen-Image-Lightning ecosystem (including environment setup, inference pipelines, and customization), please refer to: +[Qwen-Image-Lightning GitHub Repository](https://github.com/ModelTC/Qwen-Image-Lightning/) + +### 2. LightX2V Framework +The models are fully compatible with the LightX2V lightweight video/image generation inference framework. For step-by-step usage examples, configuration templates, and performance optimization tips, see: +[LightX2V Qwen Image Edit Documentation](https://github.com/ModelTC/LightX2V/blob/main/examples/qwen_image/README.md) + +## Key Optimizations +- **Step Distillation**: The LoRA models reduce the original inference steps to just 4 steps, achieving significant speedup (≈10x faster than standard 40-step inference) while preserving image editing quality. +- **FP8 Quantization**: The quantized base model balances performance and resource efficiency, reducing GPU memory usage by ~50% compared to FP32 while maintaining editing fidelity. + +## Support +For technical issues, feature requests, or integration questions: +- Open an issue in the [Qwen-Image-Lightning repo](https://github.com/ModelTC/Qwen-Image-Lightning/issues) (for Qwen framework-specific questions) +- Open an issue in the [LightX2V repo](https://github.com/ModelTC/LightX2V/issues) (for LightX2V integration questions) \ No newline at 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