Now fully launched and available for all public community usersMarch 2026
Wan 2.7 AI Video Generator
Wan 2.7 is Alibaba's latest video generation model with first/last frame control, multi-reference input, and instruction-based editing. Generate 5–15 second videos in 720P or 1080P.
Thông báo chính sách nội dung
Mọi nội dung tạo ra không tuân thủ sẽ bị lỗi — đây không phải lừa đảo hay lỗi trang web. Mô hình Seedance 2.0 gần đây đã thắt chặt các hạn chế nội dung, và tất cả đầu vào khuôn mặt người thật (ảnh tự sướng, chân dung, người nổi tiếng) hiện đều bị chặn ở cấp mô hình. Nội dung bạo lực và NSFW cũng bị từ chối. Bạn vẫn có thể tạo video tuyệt vời với hình minh họa, nhân vật anime, khuôn mặt do AI tạo hoặc tác phẩm nghệ thuật cách điệu.
AI Music Studio
Live
Make songs from an idea, not a DAW.
Prompt, generate, extend, and export in one workflow built for creators who need music fast.
Output
2 tracks
Use case
Ads, video, social
AI video workflow
Wan 2.7 AI Video Generator -built for focused video creation
Wan 2.7 is Alibaba's latest video generation model with first/last frame control, multi-reference input, and instruction-based editing. Generate 5–15 second videos in 720P or 1080P.
musicmake.ai Studio
Prompt
Live
Results
2 variations
Generating...
Scene setup
Video controls -match the model to the shot
Choose the right video mode, prompt, references, and model before generating so the first clip matches the intended scene.
Original: 2:30
Original Track
Extended Track
Extended: 4:15
Clip workflow
Creator output -review and continue
Use the generated clip as a production draft, social video, storyboard beat, or starting point for another video iteration.
Core capabilities of Wan 2.7
What makes Wan 2.7 stand out
Wan 2.7 brings first/last frame control, multi-reference input, instruction-based editing, and extended 15-second output to Alibaba's video generation line.
First / Last Frame Control
Set the opening and closing frame. Wan 2.7 generates the motion between them — precise cinematic control without complex prompting.
Lock in both the starting and ending composition before generation begins.
Ideal for product reveals, character transitions, and scene cuts.
Removes the guesswork of achieving a specific end state.
Multi-Reference Input
Feed up to 5 reference videos simultaneously. The model uses them to guide character, environment, and motion style.
Upload up to 5 reference videos to shape the output.
Maintains visual consistency across character and scene.
Useful for brand content, fashion, and product continuity.
Instruction-Based Editing
Edit existing videos with natural language. Change backgrounds, lighting, clothing, or style without re-generating from scratch.
Describe changes in plain text — no timeline editing required.
Swap backgrounds, update clothing, or adjust lighting with a prompt.
Iterate fast without losing the core motion of the original clip.
Up to 15 Seconds
Generate clips up to 15 seconds — 3× longer than earlier Wan models. Enough for a complete product shot or scene.
Output at 5, 10, or 15 seconds depending on the scene.
Supports 480P, 720P, and 1080P resolution.
Works in 16:9 landscape and 9:16 portrait orientations.
Made with Wan 2.7
Creator-shared community content posts from the X Social Platform
Vibrant Reddit Community Conversation Threads
Explore more models
Other Models to Try
Compare Wan 2.7 with other top video generation models available on this platform.
Kling v3.0
Native audio-enabled video generation with Kling's 3.x motion language.
Kling v3.0 Pro
Professional-grade Kling 3.x output with higher fidelity and detail.
Doubao Seedance 1.5 Pro AI Video Generator
Built to integrate with text-to-video and image-to-video creative workflows, Doubao Seedance 1.5 Pro is ByteDance’s purpose-built audio-native video generator. Use it to make audio-centric clips, locked first-frame compositions, smooth cross-frame transition sequences, and short videos up to 12 seconds long.
Seedance 2.0 AI Video Generator
Launched in February 2026 by ByteDance, Seedance 2.0 is a purpose-built AI video generator engineered exclusively for extended clip lengths, tight motion control, and perfectly synchronized audio output. Here, you can explore text-to-video, first-frame image-to-video, and cross-frame start/end transition workflows, with support for clips up to 15 seconds in total runtime.
Common.faqTitle
Câu trả lời nhanh giúp bạn quyết định
1
What is Wan 2.7?
Wan 2.7 is the latest video generation model from Alibaba Tongyi Lab, released in March 2026. It upgrades Wan 2.6 with first/last frame control, up to 5 simultaneous reference video inputs, 9-grid image input, instruction-based video editing, and improved motion physics.
2
What is first/last frame control in Wan 2.7?
First/last frame control (FLF2V) lets you set both the opening and closing frames of a video. Wan 2.7 generates the motion between them. This gives you precise cinematic control — set a start position and an end position, and the model interpolates the action.
3
How long can videos be with Wan 2.7?
Wan 2.7 supports 2 to 15 seconds per clip. This is a significant improvement over earlier Wan models, which capped at around 5 seconds. On this platform, you can generate 5, 10, or 15-second clips.
4
What modes does Wan 2.7 support?
Wan 2.7 supports text-to-video, image-to-video, first/last frame video (FLF2V), and instruction-based video editing. On this page, text-to-video and image-to-video are available.
5
What resolutions does Wan 2.7 support?
Wan 2.7 supports 480P, 720P, and 1080P output. Both 16:9 landscape and 9:16 portrait aspect ratios are supported.
6
Is Wan 2.7 open source?
Wan 2.1 was fully open source under Apache 2.0. Wan 2.7's open-source release status had not been officially confirmed at launch — check the Alibaba Wan GitHub (github.com/Wan-Video) for the latest.
7
How does Wan 2.7 compare to Wan 2.6?
Wan 2.7 adds first/last frame control, 9-grid multi-image input, up to 5 reference video inputs, and instruction-based editing — none of which were in Wan 2.6. Maximum duration increased to 15 seconds. Motion physics accuracy and character consistency were also improved.
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