Hi everyone,
This challenge takes your skills to the ultimate frontier: video generation. The core objective here isn’t just about rendering an image—it is about looking at your raw 3D animation sequence and strategically choosing the absolute best AI video engine for the job.
By understanding the strengths, limits, and credit costs of our model lineup, you can maximize your results without overspending your points.
Educational Focus: Matching 3D Input Style to Video Model Strengths
When executing a 3D-guided video generation pipeline, the relationship between your 3D input assets and your chosen AI model dictates your final look. Instead of assuming one way is always better, think about how different types of 3D inputs interact with different model rendering engines:
Model Selection Guide: Choose the Right Tool for the Task
Our video generation models scale drastically by features and credit cost. You do not always need to use the most expensive premium model if your animation sequence has simple requirements:
- Seedance 2.0 (Premium —


): Choose this engine if your 3D animation contains complex, multi-shot transitions, interactive characters/objects, or if you need top-tier physics simulations and voice/sound tracking. It handles advanced 3D camera data and delivers unparalleled visual consistency. - LTX 2 & LTX 2.3 (Mid-Tier —

): Excellent mid-tier options for high-resolution outputs (up to 2K). LTX 2 is incredible for wide, sweeping 3D camera movements and secondary cloth/hair physics. LTX 2.3 balances this by offering enhanced facial consistency for character tracking. - Scail Uni3C (Budget-Friendly —
): Ideal if your 3D scene features a completely static camera (like a locked-off interview shot or a talking head) but requires highly natural, precise character movement and exceptional facial accuracy. - Wan 2.2 Fun Control (Budget-Friendly —
): The go-to budget option if your 3D sequence has massive, sweeping camera movements or complex pre-visualization layouts, but the character actions themselves are simple. - Note: Models like Kling3 and Veo3.1 do not process 3D motion streams at all and are only available in the standalone, prompt-driven Start-End Frame pipeline.
Learn more from Here
Challenge Objective
Create an animation sequence inside iClone. Analyze your project’s specific complexity (Is the camera moving? Are the characters performing complex actions? What is your budget?) and select the AI video model that best fits those parameters.
To optimize your visual transformation, drive the performance using a neutral dummy character or untextured asset layout, pair it with your first-frame style reference image, and generate your final video.
How to Submit
To claim your 400 AI Points, reply to this thread with:
- Your final processed AI video sequence.
- The raw 3D source videos
- A short text summary explaining your video model choice—tell us why you paired your specific AI model with your animation’s complexity and needs!











