CATVTON-Flux Alpha
| Property | Value |
|---|---|
| License | CC-BY-NC-2.0 |
| Base Model | black-forest-labs/FLUX.1-Fill-dev |
| Papers | CatVTON Paper, In-Context LoRA Paper |
| Performance | FID: 5.593255043029785 (SOTA) |
What is catvton-flux-alpha?
CATVTON-Flux is an innovative virtual try-on solution that combines Contrastive Appearance and Topology Virtual Try-On (CATVTON) with the Flux fill inpainting model. This combination creates a powerful tool for realistic and accurate clothing transfer, achieving state-of-the-art performance in virtual try-on applications.
Implementation Details
The model is implemented using the Diffusers library and utilizes FluxTransformer2DModel architecture. It's trained on the VITON-HD dataset and fine-tuned from the FLUX.1-dev-fill base model. The implementation requires both person image and mask, along with the target garment image as inputs.
- Built on FLUX.1-Fill-dev base model
- Implements advanced inpainting techniques
- Supports bfloat16 precision for efficient processing
- Achieves SOTA performance with FID of 5.59
Core Capabilities
- Virtual clothing try-on with high accuracy
- Realistic garment transfer and visualization
- Efficient processing with optimized architecture
- Support for high-resolution image processing
Frequently Asked Questions
Q: What makes this model unique?
This model achieves state-of-the-art performance in virtual try-on tasks with a FID score of 5.59 on the VITON-HD dataset, demonstrating superior clothing transfer capabilities through its innovative combination of CATVTON and Flux inpainting technologies.
Q: What are the recommended use cases?
The model is specifically designed for virtual try-on applications in e-commerce and fashion technology, allowing users to visualize how different garments would look on a person with high accuracy and realism.
