A beginner's guide to the Wan-2.2-I2v-Fast model by Wan-Video on Replicate
Source: Dev.to
This is a simplified guide to an AI model called Wan-2.2-I2v-Fast maintained by Wan-Video.
Model overview
wan-2.2-i2v-fast is an optimized image‑to‑video generation model created by Wan‑Video. It uses PrunaAI optimization to deliver fast and cost‑effective video generation from static images. The model builds upon the Wan 2.2 A14B architecture, focusing on speed and efficiency while maintaining video quality.
Key differences
- Starts with an input image rather than generating videos from text prompts alone (unlike the
wan-2.2-t2v-fastvariant). - Prioritizes speed and cost‑effectiveness over maximum resolution compared to higher‑resolution alternatives such as
wan-2.1-i2v-720p.
Model inputs and outputs
The model transforms static images into dynamic video sequences using text prompts to guide the animation style and content. It generates videos at 480p resolution with configurable frame rates and duration settings. Both 16:9 and 9:16 aspect ratios are supported.
Inputs
| Parameter | Description |
|---|---|
| prompt | Text description guiding the video generation process |
| image | Input image file that serves as the starting frame |
| num_frames | Number of video frames to generate (81‑100 frames; 81 recommended) |
| resolution | Video resolution set to 480p with aspect‑ratio options |
| frames_per_second | Frame rate from 5‑24 fps (16 fps default for optimal pricing) |
| go_fast | Boolean option to enable faster processing |
| sample_shift | Adjustment factor for sampling behavior (range 1‑20) |
| seed | Optional random seed for reproducible results |
Outputs
- video: Generated video file in URI format
Capabilities
This model excels at bringing static images to life, allowing users to create short animated clips quickly and affordably. It is well‑suited for social‑media content, storyboarding, and rapid prototyping of visual ideas.