@@ -192,23 +226,69 @@ Put the models into the ComfyUI weights folder `ComfyUI/models/Fun_Models/`:
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+### Wan2.1-Fun-V1.1-14B-Control-Camera && Wan2.1-Fun-V1.1-1.3B-Control-Camera
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+ Pan Up
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+ Pan Left
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@@ -438,6 +518,16 @@ CogVideoX-Fun can be found in [Readme Train](scripts/cogvideox_fun/README_TRAIN.
## 1. Wan2.1-Fun
+V1.1:
+| Name | Storage Size | Hugging Face | Model Scope | Description |
+|------|--------------|--------------|-------------|-------------|
+| Wan2.1-Fun-V1.1-1.3B-InP | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-InP) | Wan2.1-Fun-V1.1-1.3B text-to-video generation weights, trained at multiple resolutions, supports start-end image prediction. |
+| Wan2.1-Fun-V1.1-14B-InP | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-InP) | Wan2.1-Fun-V1.1-14B text-to-video generation weights, trained at multiple resolutions, supports start-end image prediction. |
+| Wan2.1-Fun-V1.1-1.3B-Control | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control) | Wan2.1-Fun-V1.1-1.3B video control weights support various control conditions such as Canny, Depth, Pose, MLSD, etc., supports reference image + control condition-based control, and trajectory control. Supports multi-resolution (512, 768, 1024) video prediction, trained with 81 frames at 16 FPS, supports multilingual prediction. |
+| Wan2.1-Fun-V1.1-14B-Control | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control) | Wan2.1-Fun-V1.1-14B video control weights support various control conditions such as Canny, Depth, Pose, MLSD, etc., supports reference image + control condition-based control, and trajectory control. Supports multi-resolution (512, 768, 1024) video prediction, trained with 81 frames at 16 FPS, supports multilingual prediction. |
+| Wan2.1-Fun-V1.1-1.3B-Control-Camera | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control) | Wan2.1-Fun-V1.1-1.3B camera lens control weights. Supports multi-resolution (512, 768, 1024) video prediction, trained with 81 frames at 16 FPS, supports multilingual prediction. |
+| Wan2.1-Fun-V1.1-14B-Control-Camera | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control) | Wan2.1-Fun-V1.1-14B camera lens control weights. Supports multi-resolution (512, 768, 1024) video prediction, trained with 81 frames at 16 FPS, supports multilingual prediction. |
+
V1.0:
| Name | Storage Space | Hugging Face | Model Scope | Description |
|--|--|--|--|--|
@@ -489,6 +579,10 @@ V1.1:
- CogVideo: https://github.com/THUDM/CogVideo/
- EasyAnimate: https://github.com/aigc-apps/EasyAnimate
- Wan2.1: https://github.com/Wan-Video/Wan2.1/
+- ComfyUI-KJNodes: https://github.com/kijai/ComfyUI-KJNodes
+- ComfyUI-EasyAnimateWrapper: https://github.com/kijai/ComfyUI-EasyAnimateWrapper
+- ComfyUI-CameraCtrl-Wrapper: https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper
+- CameraCtrl: https://github.com/hehao13/CameraCtrl
# License
This project is licensed under the [Apache License (Version 2.0)](https://github.com/modelscope/modelscope/blob/master/LICENSE).
diff --git a/README_ja-JP.md b/README_ja-JP.md
index b7da81f..827b3cc 100755
--- a/README_ja-JP.md
+++ b/README_ja-JP.md
@@ -26,6 +26,7 @@ VideoX-Funはビデオ生成のパイプラインであり、AI画像やビデ
異なるプラットフォームからのクイックスタートをサポートします。詳細は[クイックスタート](#クイックスタート)を参照してください。
新機能：
+- Wan2.1-Fun-V1.1バージョンを更新：14Bと1.3BモデルのControl＋参照画像モデルをサポート、カメラ制御にも対応。さらに、Inpaintモデルを再訓練し、性能が向上しました。[2025.04.25]
- Wan2.1-Fun-V1.0の更新：14Bおよび1.3BのI2V（画像からビデオ）モデルとControlモデルをサポートし、開始フレームと終了フレームの予測に対応。[2025.03.26]
- CogVideoX-Fun-V1.5の更新：I2Vモデルと関連するトレーニング・予測コードをアップロード。[2024.12.16]
- 報酬Loraのサポート：報酬逆伝播技術を使用してLoraをトレーニングし、生成された動画を最適化し、人間の好みによりよく一致させる。[詳細情報](scripts/README_TRAIN_REWARD.md)。新しいバージョンの制御モデルでは、Canny、Depth、Pose、MLSDなどの異なる制御条件に対応。[2024.11.21]
@@ -67,10 +68,10 @@ docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/easycv/torch_cud
docker run -it -p 7860:7860 --network host --gpus all --security-opt seccomp:unconfined --shm-size 200g mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/easycv/torch_cuda:cogvideox_fun
# コードをクローン
-git clone https://github.com/aigc-apps/CogVideoX-Fun.git
+git clone https://github.com/aigc-apps/VideoX-Fun.git
-# CogVideoX-Funのディレクトリに入る
-cd CogVideoX-Fun
+# VideoX-Funのディレクトリに入る
+cd VideoX-Fun
# 重みをダウンロード
mkdir models/Diffusion_Transformer
@@ -82,8 +83,8 @@ mkdir models/Personalized_Model
# https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-5b-InP
# Wan
-# https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-InP
-# https://modelscope.cn/models/PAI/Wan2.1-Fun-14B-InP
+# https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP
+# https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-InP
```
### 2. ローカルインストール: 環境チェック/ダウンロード/インストール
@@ -119,8 +120,8 @@ Linuxの詳細：
│ └── 📂 Fun_Models/
│ ├── 📂 CogVideoX-Fun-V1.1-2b-InP/
│ ├── 📂 CogVideoX-Fun-V1.1-5b-InP/
-│ ├── 📂 Wan2.1-Fun-14B-InP
-│ └── 📂 Wan2.1-Fun-1.3B-InP/
+│ ├── 📂 Wan2.1-Fun-V1.1-14B-InP
+│ └── 📂 Wan2.1-Fun-V1.1-1.3B-InP/
```
**独自のpythonファイルまたはUIインターフェースを実行**:
@@ -129,29 +130,29 @@ Linuxの詳細：
├── 📂 Diffusion_Transformer/
│ ├── 📂 CogVideoX-Fun-V1.1-2b-InP/
│ ├── 📂 CogVideoX-Fun-V1.1-5b-InP/
-│ ├── 📂 Wan2.1-Fun-14B-InP
-│ └── 📂 Wan2.1-Fun-1.3B-InP/
+│ ├── 📂 Wan2.1-Fun-V1.1-14B-InP
+│ └── 📂 Wan2.1-Fun-V1.1-1.3B-InP/
├── 📂 Personalized_Model/
│ └── あなたのトレーニング済みのトランスフォーマーモデル / あなたのトレーニング済みのLoraモデル（UIロード用）
```
# ビデオ結果
-### Wan2.1-Fun-14B-InP && Wan2.1-Fun-1.3B-InP
+### Wan2.1-Fun-V1.1-14B-InP && Wan2.1-Fun-V1.1-1.3B-InP
@@ -159,22 +160,55 @@ Linuxの詳細：
-### Wan2.1-Fun-14B-Control && Wan2.1-Fun-1.3B-Control
+### Wan2.1-Fun-V1.1-14B-Control && Wan2.1-Fun-V1.1-1.3B-Control
+Generic Control Video + Reference Image:
+
+
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+ Reference Image
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+ Control Video
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+ Wan2.1-Fun-V1.1-14B-Control
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+ Wan2.1-Fun-V1.1-1.3B-Control
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+Generic Control Video (Canny, Pose, Depth, etc.) and Trajectory Control:
@@ -192,23 +226,69 @@ Linuxの詳細：
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+### Wan2.1-Fun-V1.1-14B-Control-Camera && Wan2.1-Fun-V1.1-1.3B-Control-Camera
+
+
+
+ |
+ Pan Up
+ |
+
+ Pan Left
+ |
+
+ Pan Right
+ |
+
+ |
+
+ |
+
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+ |
+
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+ |
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+ |
+ Pan Down
+ |
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+ Pan Up + Pan Left
+ |
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+ Pan Up + Pan Right
+ |
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@@ -436,6 +516,17 @@ CogVideoX-Funは[Readme Train](scripts/cogvideox_fun/README_TRAIN.md)と[Readme
# モデルの場所
## 1. Wan2.1-Fun
+V1.1:
+| 名称 | ストレージ容量 | Hugging Face | Model Scope | 説明 |
+|--|--|--|--|--|
+| Wan2.1-Fun-V1.1-1.3B-InP | 19.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-InP) | Wan2.1-Fun-V1.1-1.3Bのテキスト・画像から動画生成の重み。マルチ解像度で訓練され、最初と最後の画像予測をサポートします。 |
+| Wan2.1-Fun-V1.1-14B-InP | 47.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-InP) | Wan2.1-Fun-V1.1-14Bのテキスト・画像から動画生成の重み。マルチ解像度で訓練され、最初と最後の画像予測をサポートします。 |
+| Wan2.1-Fun-V1.1-1.3B-Control | 19.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control)| Wan2.1-Fun-V1.1-1.3Bのビデオ制御重み。Canny、Depth、Pose、MLSDなどの異なる制御条件に対応し、参照画像＋制御条件を使用した制御や軌跡制御をサポートします。512、768、1024のマルチ解像度での動画予測をサポートし、81フレーム、毎秒16フレームで訓練されています。多言語予測に対応しています。 |
+| Wan2.1-Fun-V1.1-14B-Control | 47.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control)| Wan2.1-Fun-V1.1-14Bのビデオ制御重み。Canny、Depth、Pose、MLSDなどの異なる制御条件に対応し、参照画像＋制御条件を使用した制御や軌跡制御をサポートします。512、768、1024のマルチ解像度での動画予測をサポートし、81フレーム、毎秒16フレームで訓練されています。多言語予測に対応しています。 |
+| Wan2.1-Fun-V1.1-1.3B-Control-Camera | 19.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control)| Wan2.1-Fun-V1.1-1.3Bのカメラレンズ制御重み。512、768、1024のマルチ解像度での動画予測をサポートし、81フレーム、毎秒16フレームで訓練されています。多言語予測に対応しています。 |
+| Wan2.1-Fun-V1.1-14B-Control | 47.0 GB | [🤗リンク](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄リンク](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control)| Wan2.1-Fun-V1.1-14Bのカメラレンズ制御重み。512、768、1024のマルチ解像度での動画予測をサポートし、81フレーム、毎秒16フレームで訓練されています。多言語予測に対応しています。 |
+
+
V1.0:
| 名称 | ストレージ容量 | Hugging Face | Model Scope | 説明 |
|--|--|--|--|--|
diff --git a/README_zh-CN.md b/README_zh-CN.md
index c54ce5f..29933c6 100755
--- a/README_zh-CN.md
+++ b/README_zh-CN.md
@@ -26,6 +26,7 @@ VideoX-Fun是一个视频生成的pipeline，可用于生成AI图片与视频、
我们会逐渐支持从不同平台快速启动，请参阅 [快速启动](#快速启动)。
新特性：
+- 更新Wan2.1-Fun-V1.1版本：支持14B与1.3B模型Control+参考图模型，支持镜头控制，另外Inpaint模型重新训练，性能更佳。[2025.04.25]
- 更新Wan2.1-Fun-V1.0版本：支持14B与1.3B模型的I2V和Control模型，支持首尾图预测。[2025.03.26]
- 更新CogVideoX-Fun-V1.5版本：上传I2V模型与相关训练预测代码。[2024.12.16]
- 奖励Lora支持：通过奖励反向传播技术训练Lora，以优化生成的视频，使其更好地与人类偏好保持一致，[更多信息](scripts/README_TRAIN_REWARD.md)。新版本的控制模型，支持不同的控制条件，如Canny、Depth、Pose、MLSD等。[2024.11.21]
@@ -65,10 +66,10 @@ docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/easycv/torch_cud
docker run -it -p 7860:7860 --network host --gpus all --security-opt seccomp:unconfined --shm-size 200g mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/easycv/torch_cuda:cogvideox_fun
# clone code
-git clone https://github.com/aigc-apps/CogVideoX-Fun.git
+git clone https://github.com/aigc-apps/VideoX-Fun.git
-# enter CogVideoX-Fun's dir
-cd CogVideoX-Fun
+# enter VideoX-Fun's dir
+cd VideoX-Fun
# download weights
mkdir models/Diffusion_Transformer
@@ -80,8 +81,8 @@ mkdir models/Personalized_Model
# https://modelscope.cn/models/PAI/CogVideoX-Fun-V1.1-5b-InP
# Wan
-# https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-InP
-# https://modelscope.cn/models/PAI/Wan2.1-Fun-14B-InP
+# https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP
+# https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-InP
```
### 2. 本地安装: 环境检查/下载/安装
@@ -117,8 +118,8 @@ Linux 的详细信息：
│ └── 📂 Fun_Models/
│ ├── 📂 CogVideoX-Fun-V1.1-2b-InP/
│ ├── 📂 CogVideoX-Fun-V1.1-5b-InP/
-│ ├── 📂 Wan2.1-Fun-14B-InP
-│ └── 📂 Wan2.1-Fun-1.3B-InP/
+│ ├── 📂 Wan2.1-Fun-V1.1-14B-InP
+│ └── 📂 Wan2.1-Fun-V1.1-1.3B-InP/
```
**运行自身的python文件或ui界面**:
@@ -127,29 +128,29 @@ Linux 的详细信息：
├── 📂 Diffusion_Transformer/
│ ├── 📂 CogVideoX-Fun-V1.1-2b-InP/
│ ├── 📂 CogVideoX-Fun-V1.1-5b-InP/
-│ ├── 📂 Wan2.1-Fun-14B-InP
-│ └── 📂 Wan2.1-Fun-1.3B-InP/
+│ ├── 📂 Wan2.1-Fun-V1.1-14B-InP
+│ └── 📂 Wan2.1-Fun-V1.1-1.3B-InP/
├── 📂 Personalized_Model/
│ └── your trained trainformer model / your trained lora model (for UI load)
```
# 视频作品
-### Wan2.1-Fun-14B-InP && Wan2.1-Fun-1.3B-InP
+### Wan2.1-Fun-V1.1-14B-InP && Wan2.1-Fun-V1.1-1.3B-InP
@@ -157,22 +158,55 @@ Linux 的详细信息：
-### Wan2.1-Fun-14B-Control && Wan2.1-Fun-1.3B-Control
+### Wan2.1-Fun-V1.1-14B-Control && Wan2.1-Fun-V1.1-1.3B-Control
+Generic Control Video + Reference Image:
+
+
+ |
+ Reference Image
+ |
+
+ Control Video
+ |
+
+ Wan2.1-Fun-V1.1-14B-Control
+ |
+
+ Wan2.1-Fun-V1.1-1.3B-Control
+ |
+
+ |
+
+ |
+
+
+ |
+
+
+ |
+
+
+ |
+
+
+
+
+Generic Control Video (Canny, Pose, Depth, etc.) and Trajectory Control:
@@ -190,23 +224,69 @@ Linux 的详细信息：
|
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+
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+### Wan2.1-Fun-V1.1-14B-Control-Camera && Wan2.1-Fun-V1.1-1.3B-Control-Camera
+
+
+
+ |
+ Pan Up
+ |
+
+ Pan Left
+ |
+
+ Pan Right
+ |
+
+ |
+
+ |
+
+
+ |
+
+
+ |
+
+ |
+ Pan Down
+ |
+
+ Pan Up + Pan Left
+ |
+
+ Pan Up + Pan Right
+ |
+
+ |
+
+ |
+
+
+ |
+
+
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@@ -433,6 +513,16 @@ CogVideoX-Fun可以查看[Readme Train](scripts/cogvideox_fun/README_TRAIN.md)
# 模型地址
## 1. Wan2.1-Fun
+V1.1:
+| 名称 | 存储空间 | Hugging Face | Model Scope | 描述 |
+|--|--|--|--|--|
+| Wan2.1-Fun-V1.1-1.3B-InP | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-InP) | Wan2.1-Fun-V1.1-1.3B文图生视频权重，以多分辨率训练，支持首尾图预测。 |
+| Wan2.1-Fun-V1.1-14B-InP | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-InP) | Wan2.1-Fun-V1.1-14B文图生视频权重，以多分辨率训练，支持首尾图预测。 |
+| Wan2.1-Fun-V1.1-1.3B-Control | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control)| Wan2.1-Fun-V1.1-1.3B视频控制权重支持不同的控制条件，如Canny、Depth、Pose、MLSD等，支持参考图 + 控制条件进行控制，支持使用轨迹控制。支持多分辨率（512，768，1024）的视频预测，支持多分辨率（512，768，1024）的视频预测，以81帧、每秒16帧进行训练，支持多语言预测 |
+| Wan2.1-Fun-V1.1-14B-Control | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control)| Wan2.1-Fun-V1.1-14B视视频控制权重支持不同的控制条件，如Canny、Depth、Pose、MLSD等，支持参考图 + 控制条件进行控制，支持使用轨迹控制。支持多分辨率（512，768，1024）的视频预测，支持多分辨率（512，768，1024）的视频预测，以81帧、每秒16帧进行训练，支持多语言预测 |
+| Wan2.1-Fun-V1.1-1.3B-Control-Camera | 19.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-1.3B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-1.3B-Control)| Wan2.1-Fun-V1.1-1.3B相机镜头控制权重。支持多分辨率（512，768，1024）的视频预测，支持多分辨率（512，768，1024）的视频预测，以81帧、每秒16帧进行训练，支持多语言预测 |
+| Wan2.1-Fun-V1.1-14B-Control | 47.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.1-Fun-V1.1-14B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.1-Fun-V1.1-14B-Control)| Wan2.1-Fun-V1.1-14B相机镜头控制权重。支持多分辨率（512，768，1024）的视频预测，支持多分辨率（512，768，1024）的视频预测，以81帧、每秒16帧进行训练，支持多语言预测 |
+
V1.0:
| 名称 | 存储空间 | Hugging Face | Model Scope | 描述 |
|--|--|--|--|--|
@@ -485,6 +575,10 @@ V1.1:
- CogVideo: https://github.com/THUDM/CogVideo/
- EasyAnimate: https://github.com/aigc-apps/EasyAnimate
- Wan2.1: https://github.com/Wan-Video/Wan2.1/
+- ComfyUI-KJNodes: https://github.com/kijai/ComfyUI-KJNodes
+- ComfyUI-EasyAnimateWrapper: https://github.com/kijai/ComfyUI-EasyAnimateWrapper
+- ComfyUI-CameraCtrl-Wrapper: https://github.com/chaojie/ComfyUI-CameraCtrl-Wrapper
+- CameraCtrl: https://github.com/hehao13/CameraCtrl
# 许可证
本项目采用 [Apache License (Version 2.0)](https://github.com/modelscope/modelscope/blob/master/LICENSE).
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