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README.md

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+---
+tags:
+- text-to-image
+- lora
+- diffusers
+- template:diffusion-lora
+widget:
+- output:
+    url: images/input_image.jpg
+  text: Original Image
+- output:
+    url: images/result_base_model.jpg
+  text: change the face to face segmentation mask
+- output:
+    url: images/result_lora_model.jpg
+  text: change the face to face segmentation mask
+base_model: Qwen/Qwen-Image
+instance_prompt: null
+license: mit
+---
+# Qwen-Image-Lora-Faceseg
+
+<Gallery />
+
+## Model description 
+
+# Face Segmentation Model Description
+## Overview
+This is a LoRA fine-tuned face segmentation model based on Qwen-VL (Qwen Vision-Language) architecture, specifically designed to transform facial images into precise segmentation masks. The model leverages the powerful multimodal capabilities of Qwen-VL and enhances it through Parameter-Efficient Fine-Tuning (PEFT) using LoRA (Low-Rank Adaptation) technique.
+## Model Architecture
+- Base Model: Qwen-Image-Edit (built on Qwen-VL foundation)
+- Fine-tuning Method: LoRA (Low-Rank Adaptation)
+- Task: Image-to-Image translation (Face → Segmentation Mask)
+- Input: RGB facial images
+- Output: Binary&#x2F;grayscale segmentation masks highlighting facial regions
+## Training Configuration
+- Dataset: 20 carefully curated face segmentation samples
+- Training Steps: 900-1000 steps
+- Prompt: &quot;change the image from the face to the face segmentation mask&quot;
+- Precision Options:
+   - BF16 precision for high-quality results
+   - FP4 quantization for memory-efficient deployment
+## Key Features
+1. High Precision Segmentation: Accurately identifies and segments facial boundaries with fine detail preservation
+2. Memory Efficient: FP4 quantized version maintains competitive quality while significantly reducing memory footprint
+3. Fast Inference: Optimized for real-time applications with 20 inference steps
+4. Robust Performance: Handles various lighting conditions and facial orientations
+5. Parameter Efficient: Only trains LoRA adapters (~1M parameters) while keeping base model frozen
+## Technical Specifications
+- Inference Steps: 20
+- CFG Scale: 2.5
+- Input Resolution: Configurable (typically 512x512)
+- Model Size: Base model + ~1M LoRA parameters
+- Memory Usage:
+   - BF16 version: Higher memory, best quality
+   - FP4 version: 75% memory reduction, competitive quality
+## Use Cases
+- Identity Verification: KYC (Know Your Customer) applications
+- Privacy Protection: Face anonymization while preserving facial structure
+- Medical Applications: Facial analysis and dermatological assessments
+- AR&#x2F;VR Applications: Real-time face tracking and segmentation
+- Content Creation: Automated face masking for video editing
+## Performance Highlights
+- Accuracy: Significantly improved boundary detection compared to base model
+- Detail Preservation: Maintains fine facial features in segmentation masks
+- Consistency: Stable segmentation quality across different input conditions
+- Efficiency: FP4 quantization achieves 4x memory savings with minimal quality loss
+## Deployment Options
+- High-Quality Mode: BF16 precision for maximum accuracy
+- Efficient Mode: FP4 quantization for resource-constrained environments
+- Real-time Applications: Optimized inference pipeline for low-latency requirements
+This model represents a practical solution for face segmentation tasks, offering an excellent balance between accuracy, efficiency, and deployability across various hardware configurations
+
+## Example:
+Control Images
+![input_image.jpg](https:&#x2F;&#x2F;cdn-uploads.huggingface.co&#x2F;production&#x2F;uploads&#x2F;641af68ea5f876fe30c38508&#x2F;sPFRuwzgdMjUNWkL84jLl.jpeg)
+
+Edited Image with Qwen-Image-Edit by promot
+&#x60;change the face to face segmentation mask&#x60;
+
+![result_base_model.jpg](https:&#x2F;&#x2F;cdn-uploads.huggingface.co&#x2F;production&#x2F;uploads&#x2F;641af68ea5f876fe30c38508&#x2F;v20z6hctGEY_DdP5WtFFv.jpeg)
+
+After Lora Finetune with same prompt
+
+![result_lora_model.jpg](https:&#x2F;&#x2F;cdn-uploads.huggingface.co&#x2F;production&#x2F;uploads&#x2F;641af68ea5f876fe30c38508&#x2F;pE6F_FSSfdxphfrfiZjeu.jpeg)
+
+## Code
+Lora Finetune of Qwen-Image-Edit Code here:
+https:&#x2F;&#x2F;github.com&#x2F;tsiendragon&#x2F;qwen-image-finetune
+
+
+
+## Download model
+
+
+[Download](/TsienDragon/qwen-image-edit-lora-face-segmentation/tree/main) them in the Files & versions tab.