Pre-trained models and output samples of ControlNet-LLLite.
Note: The model structure is highly experimental and may be subject to change in the future.
Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI
For 1111's Web UI, sd-webui-controlnet extension supports ControlNet-LLLite.
Training: https://github.com/kohya-ss/sd-scripts/blob/sdxl/docs/train_lllite_README.md
The recommended preprocessing for the blur model is Gaussian blur.
controllllite_v01032064e_sdxl_blur_500-1000.safetensors
v01 : Version Flag.032 : Dimensions of conditioning.064 : Dimensions of control module.sdxl : Base Model.blur : The control method. anime means the LLLite model is trained on/with anime sdxl model and images.500-1000 : (Optional) Timesteps for training. If this is 500-1000, please control only the first half step.The model ControlNet trained on is our custom model.

























Sample images are generated by custom model.
35 commits
Pre-trained models and output samples of ControlNet-LLLite.
Note: The model structure is highly experimental and may be subject to change in the future.
Inference with ComfyUI: https://github.com/kohya-ss/ControlNet-LLLite-ComfyUI
For 1111's Web UI, sd-webui-controlnet extension supports ControlNet-LLLite.
Training: https://github.com/kohya-ss/sd-scripts/blob/sdxl/docs/train_lllite_README.md
The recommended preprocessing for the blur model is Gaussian blur.
controllllite_v01032064e_sdxl_blur_500-1000.safetensors
v01 : Version Flag.032 : Dimensions of conditioning.064 : Dimensions of control module.sdxl : Base Model.blur : The control method. anime means the LLLite model is trained on/with anime sdxl model and images.500-1000 : (Optional) Timesteps for training. If this is 500-1000, please control only the first half step.The model ControlNet trained on is our custom model.

























Sample images are generated by custom model.
35 commits