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# AnimateDiff Model Checkpoints for A1111 SD WebUI |
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This repository saves all AnimateDiff models in fp16 & safetensors format for A1111 AnimateDiff users, including |
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- motion module (v1-v3) |
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- [motion LoRA](#motion-lora) (v2 only, use like any other LoRA) |
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- domain adapter (v3 only, use like any other LoRA) |
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- [sparse ControlNet](#sparse-controlnet) (v3 only, use like any other ControlNet) |
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Unless specified below, you are fine to use models from the [official model repository](https://huggingface.co./guoyww/animatediff/tree/main). I will only convert state dict keys if absolutely necessary. |
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## Motion LoRA |
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Put Motion LoRAs to `stable-diffusion-webui/models/Lora` and use Motion LoRAs like any other LoRA you use. |
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[lora_v2](https://huggingface.co./conrevo/AnimateDiff-A1111/tree/main/lora_v2) contains motion LoRAs for AnimateDiff-A1111 v2.0.0 and later. 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. |
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Use [convert.py](convert.py) in the following way if you want to convert a third-party motion LoRA to be compatible with A1111: |
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- Activate your A1111 Python environment first. |
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- Command: `python script.py lora [file_path] [save_path]` |
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- Replace `[file_path]` with the path to your old LoRA checkpoint. |
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- Replace `[save_path]` with the path where you want to save the new LoRA checkpoint. |
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## Sparse ControlNet |
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Put Sparse ControlNets to `stable-diffusion-webui/models/ControlNet` and use Sparse ControlNets like any other ControlNet you use. |
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Like Motion LoRA, I converted state dict keys inside sparse ControlNet. Original sparse ControlNets won't work for A1111 due to maintenance reason. |
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Use [convert.py](convert.py) in the following way if you want to convert a third-party sparse ControlNet to be compatible with A1111: |
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- Activate your A1111 Python environment first. |
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- Command: `python script.py controlnet [ad_cn_old] [ad_cn_new] [normal_cn_path]` |
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- Replace `[ad_cn_old]` with the path to your old sparse ControlNet checkpoint. |
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- Replace `[ad_cn_new]` with the path where you want to save the new sparse ControlNet checkpoint. |
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- Replace `[normal_cn_path]` with the path to the normal ControlNet model. Download normal ControlNet from [here](https://huggingface.co./lllyasviel/control_v11p_sd15_openpose/resolve/main/diffusion_pytorch_model.fp16.safetensors?download=true). |
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## HotShotXL |
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You need to use HotShotXL in this repository if you want to use it for AnimateDiff-A1111 v2.0.0 and later. Like Motion LoRA, I converted state dict keys inside HotShotXL. Original HotShotXL won't work for AnimateDiff-A1111 v2.0.0 and later due to maintenance reason. |
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