The repository provides three pre-trained models: Canny, HED, and Depth (Midas), each trained on 1024x1024 resolution. However, the developers recommend using 1024x1024 resolution for Depth and 768x768 resolution for Canny and HED for better results. The models can be used for generating images based on specific prompts, such as generating an image of a viking man with white hair or a photo of a bold man with a beard and laptop.
The repository also provides examples of how to use the models, including Python scripts for inference. The models can be used for generating images with specific conditions, such as cinematic photos or full HD images. The repository also provides a license for the weights, which fall under the FLUX.1 [dev] Non-Commercial License.
The Flux ControlNet Collections have been downloaded over 7,400 times in the last month, indicating their popularity and usefulness in the AI community. The repository also provides an inference API for easy integration with other tools and applications.
Key features of the Flux ControlNet Collections include:
- Pre-trained ControlNet models for image generation tasks
- Three models available: Canny, HED, and Depth (Midas)
- Models trained on 1024x1024 resolution
- Examples of how to use the models for inference
- Supports generating images with specific conditions, such as cinematic photos or full HD images
- FLUX.1 [dev] Non-Commercial License
- Inference API available for easy integration