--- license: apache-2.0 --- 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](https://github.com/Mikubill/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. # Naming Rules `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. # Models ## Trained on sdxl base - controllllite_v01032064e_sdxl_blur-500-1000.safetensors - trained with 3,919 generated images and Gaussian blur preprocessing. - controllllite_v01032064e_sdxl_canny.safetensors - trained with 3,919 generated images and canny preprocessing. - controllllite_v01032064e_sdxl_depth_500-1000.safetensors - trained with 3,919 generated images and MiDaS v3 - Large preprocessing. ## Trained on anime model The model ControlNet trained on is our custom model. - controllllite_v01016032e_sdxl_blur_anime_beta.safetensors - beta version. - controllllite_v01032064e_sdxl_blur-anime_500-1000.safetensors - trained with 2,836 generated images and Gaussian blur preprocessing. - controllllite_v01032064e_sdxl_canny_anime.safetensors - trained with 921 generated images and canny preprocessing. - controllllite_v01008016e_sdxl_depth_anime.safetensors - trained with 1,433 generated images and MiDaS v3 - Large preprocessing. - controllllite_v01032064e_sdxl_fake_scribble_anime.safetensors - trained with 921 generated images and PiDiNet preprocessing. - controllllite_v01032064e_sdxl_pose_anime.safetensors - trained with 921 generated images and MMPose preprocessing. - controllllite_v01032064e_sdxl_pose_anime_v2_500-1000.safetensors - trained with 1,415 generated images and MMPose preprocessing. - controllllite_v01016032e_sdxl_replicate_anime_0-500.safetensors - trained with 896 generated image pairs, 1024x1024 and 2048x2048 (highres. fix-ed). - Trained for 0-500 steps, but it seems to work for 0-1000. - controllllite_v01032064e_sdxl_replicate_anime_v2.safetensors - trained with 896 generated image pairs, 1024x1024 and 2048x2048 (highres. fix-ed). - Trained for 0-1000 steps. ## About replicate model - Replicates the control image, mixed with the prompt, as possible as the model can. - No preprocessor is required. Also works for img2img. # Samples ## sdxl base ![blur](./bs.jpg) ![canny](./cs.jpg) ![depth](./ds.jpg) ## anime model ![source 1](./canny1.png) ![sample 1](./sample1.jpg) ![source 2](./canny2.png) ![sample 2](./sample2.jpg) ![source 3](./depth1.png) ![sample 3](./sample3.jpg) ![source 4](./depth2.png) ![sample 4](./sample4.jpg) ![source 5](./scribble1.png) ![sample 5](./sample5.jpg) ![source 6](./scribble2.png) ![sample 6](./sample6.jpg) ![source 7](./pose1.png) ![sample 7](./sample7.jpg) ![source 8](./pose2.png) ![sample 8](./sample8.jpg) ![source 9](./blur1.jpg) ![sample 9](./sample9.jpg) ![source 10](./blur2.jpg) ![sample 10](./sample10.jpg) ### replicate ![replicate anime_sample 1](./replicate_anime_sample1.jpg) ![replicate anime_sample 2](./replicate_anime_sample2.jpg) Sample images are generated by custom model.