SDXL-EcomID
| Property | Value |
|---|---|
| License | Apache 2.0 |
| Base Model | SDXL-base-1.0 |
| Training Data | 2M Taobao images |
| Languages | English, Chinese |
What is SDXL-EcomID?
SDXL-EcomID is an innovative text-to-image model that combines the strengths of PuLID and InstantID to generate highly customized images from single reference ID images. The model excels in maintaining semantic consistency while offering precise keypoint control for facial features.
Implementation Details
The model architecture integrates IP-Adapter from PuLID with InstantID's IdentityNet, trained on 2 million aesthetically pleasing portrait images. The training process uses mixed precision (fp16) with a learning rate of 1e-4 and batch size of 2, processing 1024x1024 resolution images.
- Incorporates ID-Encoder and cross-attention components from PuLID
- Uses facial landmarks as conditional inputs
- Implements alignment loss training
- Enhanced keypoint control system
Core Capabilities
- Superior background generation while maintaining realism
- Precise facial position, size, and orientation control
- Strong semantic consistency in generated images
- Improved internal ID similarity across different styles
- Compatible with various SDXL-based models
Frequently Asked Questions
Q: What makes this model unique?
SDXL-EcomID stands out for its ability to maintain background generation capabilities while minimizing stylization artifacts, resulting in more realistic portraits with improved background semantic consistency. It offers superior facial control and consistency compared to other ID-based models.
Q: What are the recommended use cases?
The model excels in generating customized portraits with specific style requirements, age variations, and different contexts while maintaining facial similarity. It's particularly useful for creating consistent character representations across different scenes and styles.
