Uses
Wan 3 AI Video Generator is a video and image generation tool that runs in the browser. It mainly turns text prompts or a single static image into cinematic clips and supports output with sound. Its official positioning is free to start, no installation, and no GPU, making it suitable for quickly turning ideas into watchable video clips. The page also provides the Wan 3 AI image generator for text-to-image and instruction editing.
Main capabilities
- Text-to-video: describe the shot in natural language, and the model reads camera movement, lighting, and atmosphere from the text to generate the finished piece.
- Image-to-video: upload a single static photo, and the model animates it while trying to keep the person's identity, clothing, and composition unchanged.
- Text-to-image and image editing: supports text-to-image as well as instruction-based editing; the Pro version can reach 4K and supports long-text rendering in 12 languages, keeping text on posters and packaging readable.
- Open weights: this series of models is released with open weights under the Apache 2.0 license, allowing commercial use, redistribution, and fine-tuning, with no copyleft restrictions.
- How it runs: all videos in this tool are generated in the cloud; among them, the dense 5B variant can run on a single 24GB consumer-grade graphics card.
- Free and paid: new accounts can get free credits without a credit card; afterward, you pay as you go by credits, with no subscription.
How to use
The official three-step process is:
- Enter a prompt: describe the desired video in plain text, or upload an image/video as a reference.
- Choose settings: set the clip duration, aspect ratio, and output quality, or switch to image mode.
- Generate and download: click generate, wait a moment, then download the finished piece in high definition, including a commercial use license.
The official description says no timeline, plugins, or editing experience are needed. Image-to-video works like this: upload a static image, switch to image to video mode, describe the camera movement, then generate; no ComfyUI, checkpoints, or local GPU are required.
Suitable scenarios
The reference clips shown on the page cover camera movement, lighting, and style, including a slow push through a flower field, a fashion portrait turning its head, an ocean light and shadow study, a road trip, a runway show, neon on a rainy night, and more, which can be used to judge facial details, fabric texture, physical motion, reflections, visual tension, and other aspects. Creator feedback cited officially mentions: showing a client motion on the same day the shot was written, generating a usable key visual from a single product still, high-speed motion for a game pitch, cutting a single event image into multiple vertical/square/wide versions, and the readability of the image generator for multilingual packaging text.
Limitations and unProvide information
- Official self-description: The latest announced generation is Wan 2.7 (the page states it was released in April 2026, with Thinking Mode, stronger character consistency, and long-text rendering); this tool always provides the latest available model; the official statement says unconfirmed specifications are not released.
- Comparison with competitors: The page states that Veo 3.1 wins in native audio, while Kling 3.0 has longer single shots; this tool's differentiators are open weights, lower per-second billing, and covering both video and images within the same series.
- The pricing page lists tiers such as 10,000 Credits/year and 32,000 Credits/year, including items such as 2K/4K image generation, AI video generation, concurrent generations, private generation, priority processing queue, priority support, and commercial licensing; the page does not provide specific price amounts, maximum generation duration, detailed resolution specifications, refund policy, or other information.
- Regarding model architecture, inference speed, available regions, watermarks, and content moderation, no clear explanation is currently provided in the materials.
