Limited-time offer: bonus credits on your first Wan 2.7 video generation — no promo code needed

Wan 2.7 AI Video Generator

Cinematic QualityMulti-Modal InputFast Turnaround

Alibaba's Wan 2.7 runs a 27-billion-parameter Mixture-of-Experts diffusion transformer — only 14B parameters activate per inference pass, giving you 1080P cinematic video at lower compute cost. Generate 2–15 second clips from text, a reference image, or a voice track. First-and-last-frame control, 9-reference-image input, and instruction-based video editing are all built in.

Enter text, describe the content, movement... (e.g. A 3D boy skateboarding in the park.)

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Want AI to craft the perfect prompt for you?Try Agent

Not sure where to start? Browse video examples to explore sample projects and prompts.

Simple Workflow

How It Works

Three steps from idea to exported 1080P video

Choose Your Input

Write a text prompt with camera direction and scene details, upload a reference image (start frame, end frame, or both), or provide an audio URL for lip-sync-driven generation.

Set Duration and Aspect Ratio

Select clip length from 2 to 15 seconds. Choose 16:9, 9:16, or 1:1. Pick 720P for quick previews or 1080P for final delivery.

Generate and Export

Submit your request and download a watermark-free MP4. All videos are saved to your account — revisit, remix, or share at any time.

Wan 2.7 MoE Architecture

Wan 2.7 AI: 27B-Parameter Open-Source Video Generation

Wan 2.7 processes video sequences spatially and temporally in parallel — not frame by frame. The MoE design activates only 14B of 27B parameters per pass, delivering 1080P cinematic quality at lower compute overhead. Native audio, first-and-last-frame control, and instruction editing are all built into the base model.

Full-Sequence Spatial-Temporal Processing

Unlike frame-by-frame video generators, Wan 2.7 models the entire sequence at once. Motion is smooth, physically plausible, and free of the flickering artifacts common in older frame-based architectures — on skin, fabric, water, and fast-moving objects.

Full-Sequence Processing

No Frame-Level Flickering

Physically Plausible Motion

Audio Sync During Generation, Not After

Provide an audio URL and Wan 2.7 synchronizes lip movement, character motion, and ambient sound to that track during the diffusion pass. Background music, footsteps, dialogue — all aligned in a single generation, no post-dubbing required.

In-Pass Audio Conditioning

Precise Lip-Sync

Context-Aware Ambient Sound

Up to 9 Reference Images, First & Last Frame

Supply up to 9 reference images for richer scene composition and multi-angle input. Use first-and-last-frame control to define the exact start and end of each clip. Combine visual and voice references in the R2V model for consistent character identity and voice.

9 Reference Images

First & Last Frame Control

Voice + Visual Reference Fusion

720P and Native 1080P at 24fps

Generate at 720P for fast iteration or switch to native 1080P for final delivery. All exports are watermark-free MP4 files in your chosen aspect ratio — 16:9, 9:16, or 1:1 — ready for any platform.

Native 1080P at 24fps

16:9 / 9:16 / 1:1 Ratios

Watermark-Free MP4 Export

Four Modes, One Platform

What You Can Create With Wan 2.7 AI

From brand campaigns to research workflows — Wan 2.7's four-model suite covers every production need

Marketing & Brand Video

Turn product photos or brief text descriptions into 1080P campaign clips with native audio. First-and-last-frame control lets you define the exact opening and closing visuals for brand-consistent storytelling.

Reference-to-Video with Voice Cloning

Combine up to 9 reference images with a voice audio track to generate videos where character appearance and voice are both consistent with your inputs — ideal for digital avatars and spokesperson content.

Social & Short-Form Content

Generate 2–15 second clips in 9:16 for TikTok and Reels, or 16:9 for YouTube. Native audio generation means no separate dubbing step — dialogue and ambient sound come out of the same inference pass.

Instruction-Based Video Editing

Edit existing video clips with natural language — change style, modify a character's outfit, or apply cinematic color grading. Wan 2.7's video edit module accepts instruction and reference-based editing in one workflow.

Pricing

Simple, Transparent Pricing

Choose a monthly subscription or pay-as-you-go credits. No hidden fees. Use your credits across all Wan 2.7 generation modes — T2V, I2V, R2V, and Video Edit.

Starter

$20$16/mo

💰 Pay yearly only$240$192

Save $4820% OFF

Perfect for getting started with Wan 2.7

Cost per 100 credits$1.78

900 credits/month
Download videos in MP4 format
Access to all templates
Keep your videos forever
Email support within 24h
Community access
Wan 2.7 Fast & Pro mode support
Additional AI models
Access to AI image generation models (Flux, Seedream, etc.)

Priority support
Advanced features

Popular

Pro

$59.92$29.95/mo

🔥 50% OFF Launch Sale

💰 Pay yearly only$719$359.5

Save $359.5

Scale

$299$149.5/mo

🔥 50% OFF Launch Sale

💰 Pay yearly only$3,588$1,794

Save $1,794

For power users creating videos with Wan 2.7

Cost per 100 credits$0.84

17900 credits/month
Download videos in MP4 format
Access to advanced AI image generation models (Flux 2 Pro, Seedream 5.0, etc.)
Access to all templates
Priority customer support
Fastest generation queue
Dedicated account manager
Keep your videos forever
All advanced video features
Priority video processing
Access to all Wan 2.7 modes
All premium video features
Full Wan 2.7 access

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Lifetime Usage Rights

After payment, you will own all works generated through this website—forever.

PERMANENT

Permanent Commercial License

Download your AI work commercial use license certificate (exclusive to paid users).

PRO ESSENTIAL

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Have feedback on our video generation plans? Submit feedback or email us at [email protected]

FAQs

Frequently Asked Questions

Everything you need to know about Wan 2.7 and this platform

What is Wan 2.7?

Wan 2.7 is Alibaba's latest open-source AI video generation model, built on a 27-billion-parameter Mixture-of-Experts (MoE) diffusion transformer — with only 14 billion parameters active per inference pass. It was made available on platforms like Together AI in early April 2026, with open weights under Apache 2.0 expected in mid-to-late Q2 2026. The model supports text-to-video, image-to-video, reference-to-video with voice cloning, and instruction-based video editing.

Is Wan 2.7 AI free to try?

Yes. New accounts receive free credits to explore text-to-video, image-to-video, and audio-driven generation. No payment required to get started — create your first clip and see the quality firsthand.

What is the MoE architecture and why does it matter?

Mixture-of-Experts (MoE) splits the model into specialized sub-networks (experts), activating only the most relevant ones per inference pass. Wan 2.7 has 27B total parameters but only 14B active at any moment. This means you get the capacity of a 27B dense model at roughly the compute cost of a 14B model — better quality without proportionally higher resource cost.

What inputs does Wan 2.7 accept?

Wan 2.7 accepts text prompts (for T2V), single or paired reference images for first-and-last-frame control (I2V), up to 9 reference images for the 9-grid I2V workflow, audio URLs (MP3 or WAV) for native audio conditioning, and existing video clips for instruction-based editing. All input modes are available through the same platform.

How does native audio work in Wan 2.7?

Unlike tools that dub audio after the video is generated, Wan 2.7 conditions on audio during the diffusion process itself. You provide a publicly accessible audio URL, and the model synchronizes character motion and lip movement to that track during generation — resulting in precise lip-sync without any post-processing step.

What is first-and-last-frame control?

First-and-last-frame control lets you specify the exact starting image, the exact ending image, or both for a clip. Wan 2.7 then generates all the motion between those two frames. This gives creators precise control over narrative arc and visual transitions — ideal for product reveals, cinematic cuts, and branded content.

What resolutions and aspect ratios does Wan 2.7 support?

Wan 2.7 generates video at 720P or native 1080P, at 24fps. Supported aspect ratios include 16:9 (widescreen), 9:16 (vertical for Reels and Shorts), and 1:1 (square). All exports are watermark-free MP4 files.

Is Wan 2.7 open source?

Earlier versions of the Wan series (2.1 and 2.2) were open-sourced under Apache 2.0. Wan 2.7 was released via cloud APIs first (Together AI, April 2026), with open weights expected under Apache 2.0 in mid-to-late Q2 2026. Once available, Wan 2.7 will support self-hosted local deployment — including on consumer GPUs like the RTX 4090.

Do pay-as-you-go credits expire?

No. Credits purchased via one-time top-up packages never expire. They remain in your account indefinitely — add more whenever you need them.

What is the refund policy?

All new subscription plans include a 7-day money-back guarantee. If you have a concern about a renewal charge, contact support within 72 hours and we will review it with you directly.

Still have questions? Our support team is ready to help.

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Start Creating With Wan 2.7 AI

Access Alibaba's Wan 2.7 model through our platform — no local GPU required. Get free credits on signup and start generating 1080P AI video from text, images, or audio today.

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