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Wan 3.0: Model Documentation & Integration Guide

Blog post from Deepinfra

Post Details
Company
Date Published
Author
Deep
Word Count
1,312
Company Posts That Month
32
Language
English
Hacker News Points
-
Post removed?
No
Summary

DeepInfra’s Wan3.0-Video is an all-in-one, omni-modal video generation model from Wan-AI that accepts text, images, video, audio, documents, and web links to create or edit videos with synchronized audio, character consistency, and support for style transfer and clip extension. The model generates MP4 videos at up to 1080p and 30 fps for durations from two to 30 seconds, supports up to 20 reference assets, and ranks first in Artificial Analysis’s text-to-video leaderboards for both audio and silent generation, though leading models are closely ranked. Compared with Wan2.7, Wan3.0 consolidates separate workflows into one model, expands input types and maximum duration from 15 to 30 seconds, and costs $0.20 per generated second rather than $0.10. Developers can access it through DeepInfra’s POST API using an account and API key, configure options including resolution, aspect ratio, audio, prompt enhancement, watermarking, and reproducibility seeds, and receive a video URL alongside request status, runtime, and cost information. DeepInfra states that it uses zero retention for inputs and outputs, while pricing is straightforward at $2 for a 10-second clip and $6 for a 30-second clip.

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