A beginner's guide to the Wan-2.1-I2v-480p model by Wavespeedai on Replicate

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This is a simplified guide to an AI model called Wan-2.1-I2v-480p maintained by Wavespeedai. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

wan-2.1-i2v-480p is a powerful image-to-video model that transforms still images into dynamic 480p video sequences. Part of the comprehensive Wan2.1 video foundation model suite developed by wavespeedai, it competes with models like haiper-video-2 and kling-v1.6-standard while offering unique capabilities in video generation.

Model inputs and outputs

The model transforms input images and text prompts into fluid video sequences at 480p resolution. It uses a novel 3D causal VAE architecture called Wan-VAE for efficient video encoding and generation while preserving temporal consistency.

Inputs

Image: Source image to animate (URI format)
Prompt: Text description guiding the video generation
Frames: Number of frames to generate (5-100)
Max Area: Maximum dimensions (832x480 or 480x832)
FPS: Frames per second (5-24, default 16)
Generation Parameters: Sample steps, guide scale, and shift factors for fine-tuning