FLUX.1-dev-Controlnet-Inpainting-Alpha
| Property | Value |
|---|---|
| License | FLUX.1-dev Non-Commercial License |
| Training Data | 12M laion2B and internal source images |
| Optimal Resolution | 768x768 |
| Framework | Diffusers |
What is FLUX.1-dev-Controlnet-Inpainting-Alpha?
FLUX.1-dev-Controlnet-Inpainting-Alpha is an advanced inpainting model developed by the AlimamaCreative Team, built on the FLUX.1-dev architecture. This alpha version represents a significant advancement in controlled image inpainting, offering superior performance compared to traditional SDXL-Inpainting approaches.
Implementation Details
The model is optimized for 768x768 resolution images and implements a ControlNet architecture with recommended conditioning scale of 0.9-0.95. It's compatible with ComfyUI, requiring approximately 27GB GPU memory for 28-step inference, with inference times ranging from 15-27 seconds depending on configuration.
- Trained on 12M laion2B and internal source images
- Optimized for 768x768 resolution
- Supports Diffusers framework version 0.30.2
- Compatible with ComfyUI workflow
Core Capabilities
- High-quality image inpainting with precise control
- Enhanced performance compared to SDXL-Inpainting
- Support for detailed prompt-based image manipulation
- Efficient processing with configurable control strength and end percentage
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its superior inpainting capabilities, particularly in maintaining consistency with original images while providing fine-grained control over the inpainting process. It demonstrates notably better results compared to SDXL-Inpainting, especially in complex scenes.
Q: What are the recommended use cases?
The model excels in scenarios requiring precise image editing, content replacement, and seamless integration of new elements into existing images. It's particularly effective for tasks requiring high-quality inpainting while maintaining visual coherence.
