AnimateDiff Model Checkpoints for A1111 SD WebUI
This repository saves all AnimateDiff models in fp16 & safetensors format for A1111 AnimateDiff users, including
- motion module (v1-v3)
- motion LoRA (v2 only, use like any other LoRA)
- domain adapter (v3 only, use like any other LoRA)
- sparse ControlNet (v3 only, use like any other ControlNet)
Unless specified below, you are fine to use models from the official model repository. I will only convert state dict keys if absolutely necessary.
Motion LoRA
Put Motion LoRAs to stable-diffusion-webui/models/Lora and use Motion LoRAs like any other LoRA you use.
lora_v2 contains motion LoRAs for AnimateDiff-A1111 v2.0.0. I converted state dict keys inside motion LoRAs. Originlal motion LoRAs won't work for AnimateDiff-A1111 v2.0.0 and later due to maintenance reason.
Use convert.py in the following way if you want to convert a third-party motion LoRA to be compatible with A1111:
- Activate your A1111 Python environment first.
- Command:
python script.py lora [file_path] [save_path] - Replace
[file_path]with the path to your old LoRA checkpoint. - Replace
[save_path]with the path where you want to save the new LoRA checkpoint.
Sparse ControlNet
Put Sparse ControlNets to stable-diffusion-webui/models/ControlNet and use Sparse ControlNets like any other ControlNet you use.
Like Motion LoRA, I converted state dict keys inside sparse ControlNet. Original sparse ControlNets won't work for A1111 due to maintenance reason.
Use convert.py in the following way if you want to convert a third-party sparse ControlNet to be compatible with A1111:
- Activate your A1111 Python environment first.
- Command:
python script.py controlnet [ad_cn_old] [ad_cn_new] [normal_cn_path] - Replace
[ad_cn_old]with the path to your old sparse ControlNet checkpoint. - Replace
[ad_cn_new]with the path where you want to save the new sparse ControlNet checkpoint. - Replace
[normal_cn_path]with the path to the normal ControlNet model. Download normal ControlNet from here.