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AnimateDiff for AUTOMATIC1111 Stable Diffusion WebUI
| Date | Stars |
|---|---|
| 2026-07-31 | 3427 |
| 2026-08-03 | 3427 |
| 2026-08-06 | 3428 |
Today
+1 stars today
This week
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growth rate 0.00%/day
# AnimateDiff for Stable Diffusion WebUI
> I have recently added a non-commercial [license](https://creativecommons.org/licenses/by-nc-sa/4.0/) to this extension. If you want to use this extension for commercial purpose, please contact me via email.
This extension aim for integrating [AnimateDiff](https://github.com/guoyww/AnimateDiff/) with [CLI](https://github.com/s9roll7/animatediff-cli-prompt-travel) into [AUTOMATIC1111 Stable Diffusion WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) with [ControlNet](https://github.com/Mikubill/sd-webui-controlnet), and form the most easy-to-use AI video toolkit. You can generate GIFs in exactly the same way as generating images after enabling this extension.
This extension implements AnimateDiff in a different way. It inserts motion modules into UNet at runtime, so that you do not need to reload your model weights if you don't want to.
You might also be interested in another extension I created: [Segment Anything for Stable Diffusion WebUI](https://github.com/continue-revolution/sd-webui-segment-anything), which could be quite useful for inpainting.
[Forge](https://github.com/lllyasviel/stable-diffusion-webui-forge) users should either checkout branch [forge/master](https://github.com/continue-revolution/sd-webui-animatediff/tree/forge/master) in this repository or use [sd-forge-animatediff](https://github.com/continue-revolution/sd-forge-animatediff). They will be in sync.
## Table of Contents
[Update](#update) | [Future Plan](#future-plan) | [Model Zoo](#model-zoo) | [Documentation](#documentation) | [Tutorial](#tutorial) | [Thanks](#thanks) | [Star History](#star-history) | [Sponsor](#sponsor)
## Update
- [v2.0.0-a](https://github.com/continue-revolution/sd-webui-animatediff/tree/v2.0.0-a) in `03/02/2024`: The whole extension has been reworked to make it easier to maintain.
- Prerequisite: WebUI >= 1.8.0 & ControlNet >=1.1.441 & PyTorch >= 2.0.0
- New feature:
- ControlNet inpaint / IP-Adapter prompt travel / SparseCtrl / ControlNet keyframe, see [ControlNet V2V](docs/features.md#controlnet-v2v)
- FreeInit, see [FreeInit](docs/features.md#FreeInit)
- Minor: mm filter based on sd version (click refresh button if you switch between SD1.5 and SDXL) / display extension version in infotext
- Breaking change: You must use Motion LoRA, Hotshot-XL, AnimateDiff V3 Motion Adapter from my [huggingface repo](https://huggingface.co/conrevo/AnimateDiff-A1111/tree/main).
- [v2.0.1-a](https://github.com/continue-revolution/sd-webui-animatediff/tree/v2.0.1-a) in `07/12/2024`: Support [AnimateLCM](https://github.com/G-U-N/AnimateLCM) from MMLab@CUHK. See [here](docs/features.md#animatelcm) for instruction.
## Future Plan
Although [OpenAI Sora](https://openai.com/sora) is far better at following complex text prompts and generating complex scenes, we believe that OpenAI will NOT open source Sora or any other other products they released recently. My current plan is to continue developing this extension until when an open-sourced video model is released, with strong ability to generate complex scenes, easy customization and good ecosystem like SD1.5.
We will try our best to bring interesting researches into both WebUI and Forge as long as we can. Not all researches will be implemented. You are welcome to submit a feature request if you find an interesting one. We are also open to learn from other equivalent software.
That said, due to the notorious difficulty in maintaining [sd-webui-controlnet](https://github.com/Mikubill/sd-webui-controlnet), we do NOT plan to implement ANY new research into WebUI if it touches "reference control", such as [Magic Animate](https://github.com/magic-research/magic-animate). Such features will be Forge only. Also, some advanced features in [ControlNet Forge Intergrated](https://github.com/lllyasviel/stable-diffusion-webui-forge/tree/main/extensions-builtin/sd_forge_controlnet), such as ControlNet per-frame mask, will also be Excerpt of 9,110 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fe31b94f7260aacd, desc:stable diffusion