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update readme

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Yuwei Guo
2023-12-15 21:25:27 +08:00
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README.md
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@@ -12,7 +12,7 @@ It is a plug-and-play module turning most community models into animation genera
[Yu Qiao](https://scholar.google.com.hk/citations?user=gFtI-8QAAAAJ),
[Dahua Lin](http://dahua.site),
[Bo Dai](https://daibo.info)
<p style="font-size: 0.8em; margin-top: -1em">*Corresponding Author</p>
(*Corresponding Author)
<!-- [Arxiv Report](https://arxiv.org/abs/2307.04725) | [Project Page](https://animatediff.github.io/) -->
[![arXiv](https://img.shields.io/badge/arXiv-2307.04725-b31b1b.svg)](https://arxiv.org/abs/2307.04725)
@@ -22,6 +22,12 @@ It is a plug-and-play module turning most community models into animation genera
We developed four versions of AnimateDiff: `v1`, `v2` and `v3` for [Stable Diffusion V1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5); `sdxl-beta` for [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).
## TODOs
- [ ] Update to latest diffusers version
- [ ] Update Gradio Demo
- [ ] Release Training Scripts
- [x] Release AnimateDiff v3 and SparseCtrl
## Gallery
We show some results in the [GALLERY](./__assets__/docs/gallery.md).
Some of them are contributed by the community.
@@ -31,7 +37,7 @@ Some of them are contributed by the community.
Note: see [ANIMATEDIFF](__assets__/docs/animatediff.md) for detailed setup.
**1. Setup repository and conda environment**
### Setup repository and conda environment
```
git clone https://github.com/guoyww/AnimateDiff.git
@@ -41,42 +47,41 @@ conda env create -f environment.yaml
conda activate animatediff
```
**2. Download Stable Diffusion V1.5**
### Download Stable Diffusion V1.5
```
git lfs install
git clone https://huggingface.co/runwayml/stable-diffusion-v1-5 models/StableDiffusion/
```
**3. Prepare Community Models**
### Prepare Community Models
Manually download the community `.safetensors` models from [CivitAI](https://civitai.com), and save them to `models/DreamBooth_LoRA`. We recommand [RealisticVision V5.1](https://civitai.com/models/4201?modelVersionId=130072) and [ToonYou Beta6](https://civitai.com/models/30240?modelVersionId=125771).
**4. Prepare AnimateDiff Modules**
### Prepare AnimateDiff Modules
Manually download the AnimateDiff modules. The download links can be found in each version's model zoo, as provided in the following. Save the modules to `models/Motion_Module`.
## [2023.12] AnimateDiff v3 and SparseCtrl (Beta)
## [2023.12] AnimateDiff v3 and SparseCtrl
In this version, we did the image model finetuning with through *Domain Adapter LoRA* for more flexiblity at inference time.
In this version, we did the image model finetuning with through **Domain Adapter LoRA** for more flexiblity at inference time.
Additionally, we implement two SparseCtrl Encoders, which can take abitary number of condition maps (RGB image/scribble) to control the generation.
Additionally, we implement two [SparseCtrl](https://arxiv.org/abs/2311.16933) Encoders, which can take abitary number of condition maps (RGB image/scribble) to control the generation.
Technical details of SparseCtrl can be found in this research paper:
>**[SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models](https://arxiv.org/abs/2311.16933)**
**[SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models](https://arxiv.org/abs/2311.16933)**
</br>
>[Yuwei Guo](https://guoyww.github.io/),
[Yuwei Guo](https://guoyww.github.io/),
[Ceyuan Yang*](https://ceyuan.me/),
[Anyi Rao](https://anyirao.com/),
[Maneesh Agrawala](https://graphics.stanford.edu/~maneesh/),
[Dahua Lin](http://dahua.site),
[Bo Dai](https://daibo.info)
></br>
><p style="font-size: 0.8em; margin-top: -1em">*Corresponding Author</p>
>
>[![arXiv](https://img.shields.io/badge/arXiv-2311.16933-b31b1b.svg)](https://arxiv.org/abs/2311.16933)
(*Corresponding Author)
[![arXiv](https://img.shields.io/badge/arXiv-2311.16933-b31b1b.svg)](https://arxiv.org/abs/2311.16933)
[![Project Page](https://img.shields.io/badge/Project-Website-green)](https://guoyww.github.io/projects/SparseCtrl/)
@@ -87,8 +92,8 @@ Technical details of SparseCtrl can be found in this research paper:
|-------------------------------|--------------------------------------------------------------------------------------------|---------------------|---------------|------------------------------------|
| `v3_adapter_sd_v15.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_adapter.ckpt) | Domain Adapter | 97.4 MB | |
| `v3_sd15_mm.ckpt.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_mm.ckpt) | Motion Module | 1.56 GB | |
| `v3_sd15_sparsectrl_scribble.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_sparsectrl_scribble.ckpt) | SparseCtrl Encoder | 1.86 GB | for additional scribble condition |
| `v3_sd15_sparsectrl_rgb.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_sparsectrl_rgb.ckpt) | SparseCtrl Encoder | 1.85 GB | for additional RGB image condition |
| `v3_sd15_sparsectrl_scribble.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_sparsectrl_scribble.ckpt) | SparseCtrl Encoder | 1.86 GB | scribble condition |
| `v3_sd15_sparsectrl_rgb.ckpt` | [Link](https://huggingface.co/guoyww/animatediff/blob/main/v3_sd15_sparsectrl_rgb.ckpt) | SparseCtrl Encoder | 1.85 GB | RGB image condition |
</details>
### Quick Demos
@@ -118,17 +123,7 @@ Technical details of SparseCtrl can be found in this research paper:
<tr>
<td width=25% style="border: none"><img src="__assets__/demos/scribble/scribble_1.png" style="width:100%"></td>
<td width=25% style="border: none"><img src="__assets__/animations/v3/sketch_boy.gif" style="width:100%"></td>
<td width=25% style="border: none">
<div class="">
<div style="width: 50%; float: left;">
<img src="__assets__/demos/scribble/scribble_2_1.png" style="width: 100%; border: 1px solid #000000;">
<img src="__assets__/demos/scribble/scribble_2_3.png" style="width: 100%; border: 1px solid #000000;">
</div>
<div style="width: 50%; float: left;">
<img src="__assets__/demos/scribble/scribble_2_2.png" style="width: 100%; border: 1px solid #000000;">
</div>
</div>
</td>
<td width=25% style="border: none"><img src="__assets__/demos/scribble/scribble_2_readme.png" style="width:100%"></td>
<td width=25% style="border: none"><img src="__assets__/animations/v3/sketch_city.gif" style="width:100%"></td>
</tr>
</table>

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__assets__/docs/animatediff.md
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@@ -53,8 +53,7 @@ python -m scripts.animate --config configs/prompts/8-GhibliBackground.yaml
To generate animations with a new DreamBooth/LoRA model, you may create a new config `.yaml` file in the following format:
```
NewModel:
inference_config: "[path to motion module config file]"
- inference_config: "[path to motion module config file]"
motion_module:
- "models/Motion_Module/mm_sd_v14.ckpt"
@@ -100,13 +99,12 @@ train_data:
Other training parameters (lr, epochs, validation settings, etc.) are also included in the config files.
### Training
To train motion modules
```
torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/training.yaml
```
To finetune the unet's image layers
```
torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/image_finetune.yaml
torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/v1/image_finetune.yaml
```
To train motion modules
```
torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/v1/training.yaml
```