Wan 2.5 AI Video Generator
Create stunning AI videos with Alibaba's Wan 2.5 - Advanced text-to-video and image-to-video generation
Cinema-grade 24 fps output, RLHF-tuned dynamics, and flexible 5 s / 10 s durations — all from text or an uploaded image.
Create Your Video
Click to upload or drag and drop
JPG, PNG (Max 10MB)Cost: 60 Gems(Coins)
Preview
Your video will appear here
Generating your video...
Produce a Wan 2.5 Clip in 3 Steps
Text or image in, cinematic video with audio out.
Choose Your Input
Select Text-to-Video to describe a scene, or switch to Image-to-Video and upload a reference photo. Both paths produce HD output with optional audio.
Set Quality & Duration
Pick 720p for quick drafts or 1080p for broadcast quality. For image-to-video, choose 5 s or 10 s clip length. Aspect ratio options include 16:9, 9:16, and 1:1.
Render & Download
Hit Generate — rendering typically finishes in 1–5 minutes. Preview the result with synchronized audio, then save the final MP4.
What Makes Wan 2.5 Stand Out
A unified multimodal pipeline that handles text, image, video, and audio in one framework.
Unified Multimodal Core
Wan 2.5 jointly trains on text, image, video, and audio data, enabling deep cross-modal alignment. The result is a single model that understands context across modalities rather than stitching separate systems together.
Built-In Audio Sync
Voices, foley effects, and background music are generated alongside the visuals — frame-locked for lip-sync accuracy and natural ambient soundscapes without post-production patching.
Cinema-Grade 1080p @ 24 fps
Full HD output at a true cinematic frame rate with strong structural stability, dynamic motion, and an upgraded cinematography control layer for professional-grade deliverables.
RLHF-Tuned Dynamics
Reinforcement Learning from Human Feedback continuously refines motion naturalism, colour accuracy, and prompt compliance — so each generation better matches what creators actually expect.
About Wan 2.5
Wan 2.5 (Tongyi Wanxiang 2.5) is Alibaba's next-generation multimodal video platform. It processes text, image, and audio natively within a single architecture — no bolted-on modules — delivering 1080p HD clips at 24 fps with synchronized dialogue, effects, and music. Backed by RLHF tuning and an optimised MoE backbone, it balances visual fidelity, motion realism, and rendering speed under one Apache 2.0 open-source licence.
Wan 2.5 — Frequently Asked Questions
Q1. What makes Wan 2.5 different from other video generators?
Wan 2.5 is built on a natively multimodal architecture — text, image, video, and audio are trained together rather than handled by separate modules. This lets it produce frame-locked audio alongside the visuals in a single render pass.
Q2. How does the synchronized audio work?
The model generates dialogue cues, ambient effects, and background music in parallel with the video frames. Because both streams share the same latent representation, lip-sync and foley timing stay accurate without manual editing.
Q3. What output quality can I expect?
Wan 2.5 renders at 1080p / 24 fps with strong structural stability and realistic motion. You can also choose 720p for faster, cheaper drafts. Clip length is up to 10 seconds in image-to-video mode.
Q4. What does RLHF tuning actually improve?
Reinforcement Learning from Human Feedback aligns the model's output with real user preferences — sharper textures, more natural motion curves, and tighter prompt adherence compared to models trained only on supervised data.
Q5. How much does a generation cost?
720p text-to-video starts at 80 gems; 1080p costs 160 gems. Image-to-video pricing depends on duration (5 s or 10 s) and resolution. See the pricing page for an exact breakdown.