Forward Future Tools Library
Waver
Waver is a video and image generation model for developers and AI researchers building short clips from text prompts or still images.
Try Waver ā
github.comĀ·Free
āŗWhat is Waver?
Waver 1.0 is a foundation model family for text-to-video, image-to-video, and text-to-image generation. It supports resolutions up to 1080p, adjustable aspect ratios, and video lengths from 2 to 10 seconds. The model uses rectified flow Transformers and is designed to model complex motion.
āŗWhat are the pros and cons of Waver?
Strengths
Combines text-to-video, image-to-video, and text-to-image generation in one model family
Supports high-resolution output up to 1080p
Provides adjustable resolution, aspect ratio, and video length
Targets complex motion and temporal consistency in generated video
Offers a public GitHub repository with benchmark information and demos
Trade-offs
Video generation is limited to clips between 2 and 10 seconds
āŗWhat are Waverās key features?
Text-to-video generation
Image-to-video generation
Text-to-image generation in the same framework
Output resolutions up to 1080p
Flexible aspect ratios and video lengths from 2 to 10 seconds
Motion modeling designed for temporal consistency
āŗWhat are the best use cases for Waver?
Generate short video clips from written scene descriptions
Animate still images into moving video
Create short product demonstrations and social media clips
Prototype motion graphics and video concepts
Generate images and video within one multimodal model framework
āŗWhat is the pricing for Waver?
Free
āŗWho is Waver best for?
developersUseful for building applications or workflows that generate short videos and images from text and image inputs.
AI researchersA relevant model family for studying unified image and video generation, motion modeling, and benchmark performance.
small teamCan support rapid prototypes for short-form video, product demos, and motion concepts when 2 to 10 second outputs are sufficient.
Not for
- Teams that need long-form video generation beyond 10 seconds in a single output
- Buyers looking for a conventional video editor rather than a generative model
