This is a simplified guide to an AI model called Wan-2.1-I2v-720p maintained by Wavespeedai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
wan-2.1-i2v-720p is a high-resolution version of Wan 2.1, capable of generating 720p videos from input images. Built by wavespeedai, it uses a novel spatio-temporal variational autoencoder architecture that enables efficient video generation while preserving temporal consistency.
The model improves upon earlier versions like wan-2.1-i2v-480p by supporting higher resolution output. It shares architectural foundations with companion models like wan-2.1-t2v-480p and wan-2.1-1.3b, while specializing in image-to-video generation.
Model inputs and outputs
The model takes an input image and text prompt to generate a high-quality 720p video that animates the image content according to the prompt description. It offers control over generation parameters like frame rate, number of frames, and sampling settings to balance quality and speed.
Inputs
- Image: Input image file to animate
- Prompt: Text description guiding the video generation
- Frames: Number of output frames (5-100)
- Max Area: Maximum output dimensions (1280x720 or 720x1280)
- FPS: Frames per second (5-24)
- Generation Parameters: Sample steps, guidance scale, and other fine-tuning options
Outputs
- Video: Generated MP4 video animation of the input image
Capabilities
The model excels at creating fluid vide...
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