FLUX.1-dev-Controlnet-Inpainting-Beta
| Property | Value |
|---|---|
| License | FLUX.1-dev Non-Commercial License |
| Training Dataset | 15M images from LAION2B and proprietary sources |
| Optimal Resolution | 1024x1024 |
| Framework | Diffusers/ComfyUI |
What is FLUX.1-dev-Controlnet-Inpainting-Beta?
FLUX.1-dev-Controlnet-Inpainting-Beta is an advanced image inpainting model developed by the AlimamaCreative Team. It represents a significant improvement over its Alpha predecessor, offering enhanced capabilities for high-resolution image editing and restoration.
Implementation Details
The model integrates seamlessly with both Diffusers and ComfyUI frameworks, requiring approximately 27GB of GPU memory for optimal performance. It operates at a native resolution of 1024x1024, delivering high-quality results in 26-48 seconds depending on configuration parameters.
- Native 1024x1024 resolution support without upscaling
- Enhanced detail generation in inpainted areas
- Improved prompt interpretation and control
- Optimized for both small and large-scale edits
Core Capabilities
- High-fidelity image inpainting at 1024x1024 resolution
- Precise control through adjustable parameters (control-strength: 0.6-1.0, controlend-percent: 0.35-1.0)
- Flexible prompt control with true-cfg scaling (1.0 or 3.5)
- Seamless integration with existing workflows
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its ability to process high-resolution images directly at 1024x1024, combined with enhanced detail generation and precise prompt control, making it particularly effective for professional image editing tasks.
Q: What are the recommended use cases?
The model excels in scenarios requiring precise image inpainting, such as object removal, background modification, and creative content generation. It's particularly suitable for professional creative workflows requiring high-quality results.
