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AIモデルライブラリ/Wan-AI/Wan2.1-VACE-14B
モデル情報

Wan2.1-VACE-14B

Wan-AI · Wan2.1-VACE-14B

💜 Wan &nbsp&nbsp ｜ &nbsp&nbsp 🖥️ GitHub &nbsp&nbsp | &nbsp&nbsp🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope &nbsp&nbsp | &nbsp&nbsp 📑 Technical Report &nbsp&nbsp | &nbsp&nbsp 📑 Blog &nbsp&nbsp | &nbsp&nbsp💬 WeChat Group &nbsp&nbsp | &nbsp&nbsp 📖 Discord &nbsp&nbsp In this repository, we present **Wan2.1**, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. **Wan2.1** offers these key features: - 👍 **SOTA Performance**: **Wan2.1** consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks. - 👍 **Supports Consumer-grade GPUs**: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models. - 👍 **Multiple Tasks**: **Wan2.1** excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation. - 👍 **Visual Text Generation**: **Wan2.1** is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications. - 👍 **Powerful Video VAE**: **Wan-VAE** delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation. * May 14, 2025: 👋 We introduce **Wan2.1** VACE, an all-in-one model for video creation and editing, along with its inference code, weights, and technical report! * Apr 17, 2025: 👋 We introduce **Wan2.1** FLF2V with its inference code and weights! * Mar 21, 2025: 👋 We are excited to announce the release of the **Wan2.1** technical report. We welcome discussions and feedback! * Mar 3, 2025: 👋 **Wan2.1**'s T2V and I2V have been integrated into Diffusers (T2V | I2V). Feel free to give it a try! * Feb 27, 2025: 👋 **Wan2.1** has been integrated into ComfyUI. Enjoy! * Feb 25, 2025: 👋 We've released the inference code and weights of **Wan2.1**.

翻訳待ちのため原文を表示しています。

動画生成license:apache-2.0
コンテキスト長非公開
入力 → 出力画像 → 動画
モデルウェイト未確認
情報更新日時2026/11/2 19:15:51
OVERVIEW

モデル紹介

💜 Wan &nbsp&nbsp ｜ &nbsp&nbsp 🖥️ GitHub &nbsp&nbsp | &nbsp&nbsp🤗 Hugging Face &nbsp&nbsp | &nbsp&nbsp🤖 ModelScope &nbsp&nbsp | &nbsp&nbsp 📑 Technical Report &nbsp&nbsp | &nbsp&nbsp 📑 Blog &nbsp&nbsp | &nbsp&nbsp💬 WeChat Group &nbsp&nbsp | &nbsp&nbsp 📖 Discord &nbsp&nbsp In this repository, we present **Wan2.1**, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. **Wan2.1** offers these key features: - 👍 **SOTA Performance**: **Wan2.1** consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks. - 👍 **Supports Consumer-grade GPUs**: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models. - 👍 **Multiple Tasks**: **Wan2.1** excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation. - 👍 **Visual Text Generation**: **Wan2.1** is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications. - 👍 **Powerful Video VAE**: **Wan-VAE** delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation. * May 14, 2025: 👋 We introduce **Wan2.1** VACE, an all-in-one model for video creation and editing, along with its inference code, weights, and technical report! * Apr 17, 2025: 👋 We introduce **Wan2.1** FLF2V with its inference code and weights! * Mar 21, 2025: 👋 We are excited to announce the release of the **Wan2.1** technical report. We welcome discussions and feedback! * Mar 3, 2025: 👋 **Wan2.1**'s T2V and I2V have been integrated into Diffusers (T2V | I2V). Feel free to give it a try! * Feb 27, 2025: 👋 **Wan2.1** has been integrated into ComfyUI. Enjoy! * Feb 25, 2025: 👋 We've released the inference code and weights of **Wan2.1**.

主な特徴

特点摘要待依据来源补齐，不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

PRICING & COST

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

出典・チャネル入力出力課金単位収集日時
確認可能な料金がありません。出典を確認してください。

月額の基本トークン費用を試算

—

試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。

INDEPENDENT BENCHMARKS

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

収録済みの全ランキング →

よくある質問

オープンウェイトなら無料で商用利用できますか？

必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。

これはリアルタイムの請求料金ですか？

収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。

出典と追跡記録

huggingface · Wan-AI/Wan2.1-VACE-14B ↗2026/10/29 16:17:57
huggingface · enrich:504f3433-223e-43bb-ba2b-78f8f4f89d4e ↗2026/10/29 03:36:01

许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。