diff --git a/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
index 97f352d4e..ce86559d8 100644
--- a/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
+++ b/ja/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Seedance 2.0 - AI動画生成"
-description: "ComfyUIでSeedance 2.0を使用して、テキスト、画像、動画、音声から同期音声、一貫したキャラクター、映画的カメラコントロールを備えた高品質動画を生成"
+description: "ComfyUI で Seedance 2.0 を使い、テキスト・画像・動画・音声から動画を生成。音声同期、キャラクターの一貫性、シネマティックなカメラ制御に対応しています。"
 sidebarTitle: "Seedance 2.0"
 translationSourceHash: d69302e2
 translationFrom: tutorials/partner-nodes/bytedance/seedance-2-0.mdx
diff --git a/ja/tutorials/video/wan/fun-camera.mdx b/ja/tutorials/video/wan/fun-camera.mdx
index c658feeba..6356fa3cf 100644
--- a/ja/tutorials/video/wan/fun-camera.mdx
+++ b/ja/tutorials/video/wan/fun-camera.mdx
@@ -2,10 +2,10 @@
 title: "ComfyUI Wan2.1 Fun Camera 公式例"
 description: "本ガイドでは、ComfyUI で Wan2.1 Fun Camera を使用して動画を生成する方法を説明します"
 sidebarTitle: "Wan2.1 Fun Camera"
-translationSourceHash: e61d32be
+translationSourceHash: f2b906a8
 translationFrom: tutorials/video/wan/fun-camera.mdx
 translationBlockHashes:
-  "_intro": 3e9c5a21
+  "_intro": 59d5e57d
   "About Wan2.1 Fun Camera": 98c0ae00
   "Model Installation": 65ab0da5
   "ComfyUI Wan2.1 Fun Camera 1.3B Workflow": 4ddf8882
@@ -16,6 +16,10 @@ translationBlockHashes:
 
 import UpdateReminder from '/snippets/ja/tutorials/update-reminder.mdx'
 
+Wan2.1 Fun Camera は、Alibaba の VideoX-Fun プロジェクトによるカメラモーション動画生成モデルで、ComfyUI にネイティブ対応しています。カメラの動きを制御条件で指定できるため、プロンプトで 1 つ 1 つのショットを記述しなくても、映像のカメラワークをコントロールできます。
+
+Wan2.1-Fun シリーズの一員で、1.3B 版（約 19GB）は軽量なローカル実行向け、14B 版（約 47GB）はより高品質な出力向けです。どちらも 512・768・1024 ピクセルのマルチ解像度での動画生成に対応し、16fps・最大 81 フレーム（約 5 秒）で学習されており、多言語プロンプトにも対応します。重みは Apache-2.0 ライセンスで公開されています。
+
 ## Wan2.1 Fun Camera について
 
 **Wan2.1 Fun Camera** は、アリバグループのチームが開発した動画生成プロジェクトであり、カメラの動きを制御することで動画生成の効果を調整することに重点を置いています。
diff --git a/ja/tutorials/video/wan/fun-control.mdx b/ja/tutorials/video/wan/fun-control.mdx
index d5c35c624..6e4a26a9a 100644
--- a/ja/tutorials/video/wan/fun-control.mdx
+++ b/ja/tutorials/video/wan/fun-control.mdx
@@ -2,10 +2,10 @@
 title: "ComfyUI Wan2.1 Fun Control 動画例"
 description: "本ガイドでは、ComfyUI で Wan2.1 Fun Control を使用して制御動画で動画を生成する方法を説明します"
 sidebarTitle: "Wan2.1 Fun Control"
-translationSourceHash: 56ce4eaa
+translationSourceHash: ef43d11d
 translationFrom: tutorials/video/wan/fun-control.mdx
 translationBlockHashes:
-  "_intro": 9efc0241
+  "_intro": 217f1d3a
   "About Wan2.1-Fun-Control": 2e562079
   "Model Installation": 6ee9c5c6
   "ComfyUI Native Workflow": 01fc65b5
@@ -15,6 +15,10 @@ translationBlockHashes:
 
 import UpdateReminder from "/snippets/ja/tutorials/update-reminder.mdx";
 
+Wan2.1-Fun-Control は、Alibaba の VideoX-Fun プロジェクトによるオープンソースの動画生成・制御モデルで、プロンプトだけに頼らず、あらかじめ設定した制御条件に沿って動画を生成します。Canny エッジ、デプスマップ、OpenPose スケルトン、MLSD の幾何学的エッジ、点の軌跡などで出力をコントロールできます。
+
+モデルは 2 サイズあります。1.3B 版（約 19GB）は軽量でローカル展開向け、VRAM 消費が少なく、14B 版（約 47GB）はより高品質な結果が得られます。どちらも 512・768・1024 ピクセルのマルチ解像度動画生成に対応し、16fps・最大 81 フレーム（約 5 秒）を生成でき、多言語プロンプトにも対応します。ComfyUI は Wan2.1-Fun-Control をネイティブにサポートしています。
+
 ## Wan2.1-Fun-Control について
 
 **Wan2.1-Fun-Control** は、アリババチームによって開発されたオープンソースの動画生成・制御プロジェクトです。
diff --git a/ja/tutorials/video/wan/wan-animate-2.mdx b/ja/tutorials/video/wan/wan-animate-2.mdx
index 2b4c760ed..f36f80201 100644
--- a/ja/tutorials/video/wan/wan-animate-2.mdx
+++ b/ja/tutorials/video/wan/wan-animate-2.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Wan Animate 2: モーション転送"
-description: "Wan Animate 2 で駆動ビデオを使って静止キャラクターをアニメートし、ポーズ抽出やスケルトンの前処理なしでビデオフレームからモーションを直接転送します"
+description: "ComfyUI で Wan Animate 2 を使い、ドライブ動画から静止キャラクターへ動きを直接転送。ポーズ抽出や骨格前処理は不要です。"
 sidebarTitle: "Wan Animate 2"
 translationSourceHash: ce924f2d
 translationFrom: tutorials/video/wan/wan-animate-2.mdx
diff --git a/ja/tutorials/video/wan/wan-move.mdx b/ja/tutorials/video/wan/wan-move.mdx
index 5c7531fcf..b1addf5a8 100644
--- a/ja/tutorials/video/wan/wan-move.mdx
+++ b/ja/tutorials/video/wan/wan-move.mdx
@@ -1,6 +1,6 @@
 ---
 title: "ComfyUI Wan-Move ワークフロー例"
-description: "Wan-Move は、潜在トラジェクトリガイダンスを通じて運動を制御可能な動画生成モデルであり、画像から動画への生成において細粒度のポイントレベル運動制御を可能にします。"
+description: "ComfyUI で Wan-Move を使い、モーション制御可能な動画を生成。画像上の点の軌跡で物体の動きを指定し、精密な画像生成動画を実現します。"
 sidebarTitle: "Wan-Move"
 translationSourceHash: 6e632abd
 translationFrom: tutorials/video/wan/wan-move.mdx
diff --git a/ko/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/ko/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
index d475bfb48..c5b3114e9 100644
--- a/ko/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
+++ b/ko/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Seedance 2.0 - AI 동영상 생성"
-description: "ComfyUI에서 Seedance 2.0을 사용해 텍스트, 이미지, 동영상, 오디오를 통합된 입력으로 받아 고화질 동영상을 생성하세요. 오디오와 동영상이 싱크되며 캐릭터가 일관되고 영화 같은 카메라 제어를 제공합니다."
+description: "ComfyUI에서 Seedance 2.0로 텍스트, 이미지, 영상, 오디오로 비디오를 생성하세요. 오디오 동기화, 캐릭터 일관성, 시네마틱 카메라 제어를 지원합니다."
 sidebarTitle: "Seedance 2.0"
 translationSourceHash: d69302e2
 translationFrom: tutorials/partner-nodes/bytedance/seedance-2-0.mdx
diff --git a/ko/tutorials/video/wan/fun-camera.mdx b/ko/tutorials/video/wan/fun-camera.mdx
index 1c8c5790b..171181476 100644
--- a/ko/tutorials/video/wan/fun-camera.mdx
+++ b/ko/tutorials/video/wan/fun-camera.mdx
@@ -2,12 +2,12 @@
 title: "ComfyUI Wan2.1 Fun Camera 공식 예시"
 description: "이 가이드는 ComfyUI에서 Wan2.1 Fun Camera를 사용해 동영상 생성하는 방법을 보여줍니다."
 sidebarTitle: "Wan2.1 Fun Camera"
-translationSourceHash: 8a553848
+translationSourceHash: f2b906a8
 translationFrom: tutorials/video/wan/fun-camera.mdx
 translationBlockHashes:
-  "_intro": 3e9c5a21
+  "_intro": 59d5e57d
   "About Wan2.1 Fun Camera": 98c0ae00
-  "Model Installation": 8b2c147b
+  "Model Installation": 65ab0da5
   "ComfyUI Wan2.1 Fun Camera 1.3B Workflow": 4ddf8882
   "ComfyUI Wan2.1 Fun Camera 14B Workflow": ea99a5f1
   "Performance Reference": 2dc2f8f0
@@ -16,6 +16,10 @@ translationBlockHashes:
 
 import UpdateReminder from '/snippets/ko/tutorials/update-reminder.mdx'
 
+Wan2.1 Fun Camera는 Alibaba의 VideoX-Fun 프로젝트에서 만든 카메라 모션 영상 생성 모델로, ComfyUI에서 기본 지원합니다. 카메라 움직임을 제어 조건으로 지정할 수 있어 프롬프트로 모든 장면을 설명하지 않아도 영상의 카메라 움직임을 조정할 수 있습니다.
+
+Wan2.1-Fun 시리즈에 속하며 1.3B 버전(약 19GB)은 가벼운 로컬 실행용, 14B 버전(약 47GB)은 더 높은 품질의 출력용으로 제공됩니다. 두 버전 모두 512, 768, 1024 해상도의 멀티 해상도 영상 생성을 지원하며, 16fps로 최대 81프레임(약 5초)으로 학습되었고 다국어 프롬프트를 지원합니다. 가중치는 Apache-2.0 라이선스로 공개되어 있습니다.
+
 ## Wan2.1 Fun Camera 소개
 
 **Wan2.1 Fun Camera**는 알리바바 팀이 출시한 동영상 생성 프로젝트로, 카메라 모션을 통해 동영상 생성 효과를 제어하는 데 중점을 두고 있습니다.
diff --git a/ko/tutorials/video/wan/fun-control.mdx b/ko/tutorials/video/wan/fun-control.mdx
index 830d025f1..35c2ac0a2 100644
--- a/ko/tutorials/video/wan/fun-control.mdx
+++ b/ko/tutorials/video/wan/fun-control.mdx
@@ -2,20 +2,24 @@
 title: "ComfyUI Wan2.1 Fun Control 동영상 예시"
 description: "이 가이드에서는 ComfyUI에서 Wan2.1 Fun Control을 사용해 제어 동영상을 생성하는 방법을 보여줍니다."
 sidebarTitle: "Wan2.1 Fun Control"
-translationSourceHash: f3a0ed45
+translationSourceHash: ef43d11d
 translationFrom: tutorials/video/wan/fun-control.mdx
 translationBlockHashes:
-  "_intro": 9efc0241
+  "_intro": 217f1d3a
   "About Wan2.1-Fun-Control": 2e562079
-  "Model Installation": aee3a183
+  "Model Installation": 6ee9c5c6
   "ComfyUI Native Workflow": 01fc65b5
-  "Workflow Using Custom Nodes": cf408ff0
+  "Workflow Using Custom Nodes": 8f081a21
   "Usage Tips": 9e74c201
 ---
 
 
 import UpdateReminder from "/snippets/ko/tutorials/update-reminder.mdx";
 
+Wan2.1-Fun-Control은 Alibaba의 VideoX-Fun 프로젝트에서 만든 오픈소스 영상 생성·제어 모델로, 프롬프트에만 의존하지 않고 사전에 설정한 제어 조건에 따라 영상을 생성합니다. Canny 엣지, 뎁스 맵, OpenPose 스켈레톤, MLSD 기하학적 엣지, 포인트 궤적 등으로 출력을 제어할 수 있습니다.
+
+모델은 1.3B 버전(약 19GB, 가벼운 로컬 배포용, 낮은 VRAM 요구)과 14B 버전(약 47GB, 더 높은 품질) 두 가지로 제공됩니다. 두 버전 모두 512, 768, 1024 해상도의 멀티 해상도 영상 생성을 지원하며, 16fps로 최대 81프레임(약 5초)을 생성할 수 있고 다국어 프롬프트를 지원합니다. ComfyUI는 Wan2.1-Fun-Control을 기본 지원합니다.
+
 ## Wan2.1-Fun-Control 소개
 
 **Wan2.1-Fun-Control**은 알리바바 팀이 개발한 오픈소스 영상 생성 및 제어 프로젝트입니다. 혁신적인 Control Codes 메커니즘과 딥러닝, 다중 모달 조건 입력을 결합해 미리 설정된 제어 조건에 부합하는 고품질 영상을 생성합니다. 이 프로젝트는 특히 다중 모달 제어 조건을 통해 생성된 영상 콘텐츠를 정밀하게 유도하는 데 중점을 둡니다.
diff --git a/ko/tutorials/video/wan/wan-animate-2.mdx b/ko/tutorials/video/wan/wan-animate-2.mdx
index abaeec558..1efb7fc2e 100644
--- a/ko/tutorials/video/wan/wan-animate-2.mdx
+++ b/ko/tutorials/video/wan/wan-animate-2.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Wan Animate 2: 모션 전송"
-description: "Wan Animate 2로 드라이빙 비디오를 사용하여 정지된 캐릭터를 애니메이트하며, 포즈 추출이나 스켈레톤 전처리 없이 비디오 프레임에서 모션을 직접 전송합니다"
+description: "ComfyUI에서 Wan Animate 2로 정지 캐릭터를 애니메이션화하세요. 드라이빙 비디오에서 동작을 직접 전달하며 포즈 추출이나 스켈레톤 전처리가 필요 없습니다."
 sidebarTitle: "Wan Animate 2"
 translationSourceHash: ce924f2d
 translationFrom: tutorials/video/wan/wan-animate-2.mdx
diff --git a/ko/tutorials/video/wan/wan-move.mdx b/ko/tutorials/video/wan/wan-move.mdx
index aa0cd26c4..29afc1bc6 100644
--- a/ko/tutorials/video/wan/wan-move.mdx
+++ b/ko/tutorials/video/wan/wan-move.mdx
@@ -1,13 +1,13 @@
 ---
 title: "ComfyUI Wan-Move 워크플로우 예시"
-description: "Wan-Move는 잠재적 궤적 안내를 통해 모션을 제어 가능한 비디오 생성 모델로, 이미지에서 비디오 생성 시 세밀한 포인트 단위의 모션 제어를 가능하게 합니다."
+description: "ComfyUI에서 Wan-Move로 모션 제어 영상을 생성하세요. 이미지에 점 궤적을 지정해 객체의 움직임을 유도하는 정밀한 이미지-비디오 생성입니다."
 sidebarTitle: "Wan-Move"
-translationSourceHash: c6578cc3
+translationSourceHash: 6e632abd
 translationFrom: tutorials/video/wan/wan-move.mdx
 translationBlockHashes:
   "_intro": 67a26359
   "Wan-Move image-to-video workflow": 78aef00b
-  "Model links": 25e1a28d
+  "Model links": 8e0ef166
 ---
 
 
diff --git a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
index 7799dee70..10b49f185 100644
--- a/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
+++ b/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Seedance 2.0 - AI video generation"
-description: "Generate high-quality video from text, images, video, and audio with synced audio, consistent characters, and cinematic camera control using Seedance 2.0 in ComfyUI"
+description: "Generate video from text, images, video, and audio with Seedance 2.0 in ComfyUI: synced audio, consistent characters, and cinematic camera control."
 sidebarTitle: "Seedance 2.0"
 ---
 
diff --git a/tutorials/video/wan/fun-camera.mdx b/tutorials/video/wan/fun-camera.mdx
index 382cde45e..b88729d88 100644
--- a/tutorials/video/wan/fun-camera.mdx
+++ b/tutorials/video/wan/fun-camera.mdx
@@ -6,6 +6,10 @@ sidebarTitle: "Wan2.1 Fun Camera"
 
 import UpdateReminder from '/snippets/tutorials/update-reminder.mdx'
 
+Wan2.1 Fun Camera is a camera-motion video generation model from Alibaba's VideoX-Fun project, supported natively in ComfyUI. It generates videos whose camera movement follows your control conditions, so you can direct how the camera moves in the output instead of describing every shot in the prompt.
+
+The model is part of the Wan2.1-Fun family and ships in two sizes: the 1.3B version (about 19 GB) for lightweight local runs and the 14B version (about 47 GB) for higher-fidelity output. Both support multi-resolution video prediction at 512, 768, and 1024 pixels, are trained at 16 frames per second for up to 81 frames (about 5 seconds), and accept multilingual prompts. The weights are released under the Apache-2.0 license.
+
 ## About Wan2.1 Fun Camera
 
 **Wan2.1 Fun Camera** is a video generation project launched by the Alibaba team, focusing on controlling video generation effects through camera motion.
diff --git a/tutorials/video/wan/fun-control.mdx b/tutorials/video/wan/fun-control.mdx
index 954de6240..78394f41f 100644
--- a/tutorials/video/wan/fun-control.mdx
+++ b/tutorials/video/wan/fun-control.mdx
@@ -6,6 +6,10 @@ sidebarTitle: "Wan2.1 Fun Control"
 
 import UpdateReminder from "/snippets/tutorials/update-reminder.mdx";
 
+Wan2.1-Fun-Control is an open-source video generation model from Alibaba's VideoX-Fun project that follows preset control conditions instead of relying on prompt text alone. You can guide the output with Canny edge maps, depth maps, OpenPose skeletons, MLSD geometric edges, or point trajectories.
+
+The model ships in two sizes: the 1.3B version (about 19 GB) for lightweight local deployment with lower VRAM requirements, and the 14B version (about 47 GB) for higher-quality results. Both support multi-resolution video prediction at 512, 768, and 1024 pixels, generate up to 81 frames (about 5 seconds) at 16 frames per second, and accept multilingual prompts. ComfyUI supports Wan2.1-Fun-Control natively.
+
 ## About Wan2.1-Fun-Control
 
 **Wan2.1-Fun-Control** is an open-source video generation and control project developed by Alibaba team.
diff --git a/tutorials/video/wan/wan-animate-2.mdx b/tutorials/video/wan/wan-animate-2.mdx
index 8be9548ff..736ead71e 100644
--- a/tutorials/video/wan/wan-animate-2.mdx
+++ b/tutorials/video/wan/wan-animate-2.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Wan Animate 2: Motion Transfer"
-description: "Animate a still character using a driving video with Wan Animate 2, transferring motion directly from video frames without pose extraction or skeleton preprocessing"
+description: "Animate a still character with Wan Animate 2 in ComfyUI: transfer motion from a driving video directly, with no pose extraction or skeleton preprocessing."
 sidebarTitle: "Wan Animate 2"
 ---
 
diff --git a/tutorials/video/wan/wan-move.mdx b/tutorials/video/wan/wan-move.mdx
index f9df77a75..4353f074b 100644
--- a/tutorials/video/wan/wan-move.mdx
+++ b/tutorials/video/wan/wan-move.mdx
@@ -1,6 +1,6 @@
 ---
 title: "ComfyUI Wan-Move Workflow Example"
-description: "Wan-Move is a motion-controllable video generation model via latent trajectory guidance, enabling fine-grained point-level motion control for image-to-video generation."
+description: "Generate motion-controllable video with Wan-Move in ComfyUI: guide object motion with point trajectories for precise image-to-video generation."
 sidebarTitle: "Wan-Move"
 ---
 
diff --git a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
index 5739800d8..b39949532 100644
--- a/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
+++ b/zh/tutorials/partner-nodes/bytedance/seedance-2-0.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Seedance 2.0 - AI 视频生成"
-description: "在 ComfyUI 中使用 Seedance 2.0，通过文本、图像、视频和音频生成高质量视频，支持同步音频、角色一致性和电影级摄像机控制"
+description: "在 ComfyUI 中使用 Seedance 2.0 从文本、图片、视频和音频生成视频，支持音画同步、角色一致性和电影级运镜控制。"
 sidebarTitle: "Seedance 2.0"
 translationSourceHash: d69302e2
 translationFrom: tutorials/partner-nodes/bytedance/seedance-2-0.mdx
diff --git a/zh/tutorials/video/wan/fun-camera.mdx b/zh/tutorials/video/wan/fun-camera.mdx
index 2494154ac..3e17063a7 100644
--- a/zh/tutorials/video/wan/fun-camera.mdx
+++ b/zh/tutorials/video/wan/fun-camera.mdx
@@ -2,12 +2,13 @@
 title: "ComfyUI Wan2.1 Fun Camera 官方原生示例"
 description: "本文介绍了如何在 ComfyUI 中使用 Wan2.1 Fun Camera 完成视频生成"
 sidebarTitle: "Wan2.1 Fun Camera"
-translationSourceHash: 668d4d88
+translationSourceHash: f2b906a8
 translationFrom: tutorials/video/wan/fun-camera.mdx
 translationBlockHashes:
-  "_intro": 3e9c5a21
+  "_intro": 59d5e57d
   "About Wan2.1 Fun Camera": 98c0ae00
-  "Model Installation": 8b2c147b
+  "Model Installation": 65ab0da5
+  "ComfyUI Wan2.1 Fun Camera 1.3B Workflow": 4ddf8882
   "ComfyUI Wan2.1 Fun Camera 14B Workflow": ea99a5f1
   "Performance Reference": 2dc2f8f0
 ---
@@ -15,6 +16,10 @@ translationBlockHashes:
 
 import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx'
 
+Wan2.1 Fun Camera 是阿里巴巴 VideoX-Fun 项目推出的镜头运动视频生成模型，ComfyUI 现已原生支持。你可以通过控制条件指定视频中的镜头运动方式，无需在提示词中逐一描述每个镜头。
+
+该模型属于 Wan2.1-Fun 系列，提供两种规格：1.3B 版本（约 19 GB）适合轻量本地部署，14B 版本（约 47 GB）输出质量更高。两个版本均支持 512、768 和 1024 分辨率的多分辨率视频预测，以每秒 16 帧训练、最长 81 帧（约 5 秒），并支持多语言提示词。模型权重基于 Apache-2.0 许可发布。
+
 ## 关于 Wan2.1 Fun Camera
 
 **Wan2.1 Fun Camera** 是阿里团队推出的视频生成项目，专注于通过摄像机运动来控制视频生成效果。
diff --git a/zh/tutorials/video/wan/fun-control.mdx b/zh/tutorials/video/wan/fun-control.mdx
index e1c0fc965..9f5963555 100644
--- a/zh/tutorials/video/wan/fun-control.mdx
+++ b/zh/tutorials/video/wan/fun-control.mdx
@@ -2,12 +2,12 @@
 title: "ComfyUI Wan2.1 Fun Control 视频示例"
 description: "本文介绍了如何在 ComfyUI 中完成 Wan2.1 Fun Control 使用控制视频来完成视频生成的示例"
 sidebarTitle: "Wan2.1 Fun Control"
-translationSourceHash: 4359b641
+translationSourceHash: ef43d11d
 translationFrom: tutorials/video/wan/fun-control.mdx
 translationBlockHashes:
-  "_intro": 9efc0241
+  "_intro": 217f1d3a
   "About Wan2.1-Fun-Control": 2e562079
-  "Model Installation": aee3a183
+  "Model Installation": 6ee9c5c6
   "ComfyUI Native Workflow": 01fc65b5
   "Workflow Using Custom Nodes": 8f081a21
   "Usage Tips": 9e74c201
@@ -15,6 +15,10 @@ translationBlockHashes:
 
 import UpdateReminder from '/snippets/zh/tutorials/update-reminder.mdx'
 
+Wan2.1-Fun-Control 是阿里巴巴 VideoX-Fun 项目推出的开源视频生成与控制模型，能够按照预设的控制条件生成视频，而不是仅依赖提示词。你可以使用 Canny 边缘、深度图、OpenPose 姿态、MLSD 几何边缘或点轨迹来控制生成结果。
+
+模型提供两种规格：1.3B 版本（约 19 GB）适合轻量本地部署，显存占用更低；14B 版本（约 47 GB）生成质量更高。两个版本均支持 512、768 和 1024 分辨率的多分辨率视频预测，以每秒 16 帧生成最长 81 帧（约 5 秒），并支持多语言提示词。ComfyUI 已原生支持 Wan2.1-Fun-Control。
+
 ## 关于 Wan2.1-Fun-Control
 
 **Wan2.1-Fun-Control** 是由阿里巴巴团队开发的开源视频生成与控制项目。它引入了创新的控制代码（Control Codes）机制，结合深度学习和多模态条件输入，能够生成符合预设控制条件的高质量视频。该项目专注于通过多模态控制条件对生成的视频内容进行精准引导。
diff --git a/zh/tutorials/video/wan/wan-animate-2.mdx b/zh/tutorials/video/wan/wan-animate-2.mdx
index 85eea2eea..97252aa56 100644
--- a/zh/tutorials/video/wan/wan-animate-2.mdx
+++ b/zh/tutorials/video/wan/wan-animate-2.mdx
@@ -1,6 +1,6 @@
 ---
 title: "Wan Animate 2：动作迁移"
-description: "使用 Wan Animate 2 通过驱动视频让静态角色动起来，直接从视频帧迁移动作，无需姿态提取或骨骼预处理"
+description: "在 ComfyUI 中使用 Wan Animate 2 让静态角色动起来：直接从驱动视频迁移动作，无需姿态提取或骨骼预处理。"
 sidebarTitle: "Wan Animate 2"
 translationSourceHash: ce924f2d
 translationFrom: tutorials/video/wan/wan-animate-2.mdx
diff --git a/zh/tutorials/video/wan/wan-move.mdx b/zh/tutorials/video/wan/wan-move.mdx
index 0174761ba..310abd03e 100644
--- a/zh/tutorials/video/wan/wan-move.mdx
+++ b/zh/tutorials/video/wan/wan-move.mdx
@@ -1,6 +1,6 @@
 ---
 title: "ComfyUI Wan-Move 工作流示例"
-description: "Wan-Move 是一个通过潜在轨迹引导实现运动可控视频生成的模型，支持图像到视频生成的精细点级运动控制。"
+description: "在 ComfyUI 中使用 Wan-Move 生成运动可控视频：在图像上指定点轨迹即可引导物体运动，实现精确的图生视频。"
 sidebarTitle: "Wan-Move"
 translationSourceHash: 6e632abd
 translationFrom: tutorials/video/wan/wan-move.mdx