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Code Video Model
Generate controllable videos using executable code
Code Video Model turns prompts into editable Three.js scenes and proxy videos, then guides a pretrained video model to generate final clips that follow the scene’s structure and a reference image’s appearance—without additional training.
Code Video Model brings code into the video-generation process, giving creators explicit control over scene layout, object motion, camera trajectories, and physical dynamics.
Instead of relying entirely on a video model to invent movement, it generates an executable scene, renders a proxy video, and uses that structure to guide the final video.
Key features:
Generate editable Three.js scenes from text prompts
Control object placement, animation, camera movement, and dynamics through code
Render proxy videos to establish scene structure and motion
Use a reference image to guide the final visual appearance
Apply training-free early-step conditioning to guide a pretrained video model
Explore use cases including physics-grounded motion, bullet time, scene editing, robotics simulation, and 3D/4D reconstruction
Who it’s for: AI video researchers, developers building generative media tools, robotics teams, and creators who need more precise control over generated video.
“Generate controllable videos using executable code”
Code Video Model was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #155 on the daily leaderboard. Code Video Model turns prompts into editable Three.js scenes and proxy videos, then guides a pretrained video model to generate final clips that follow the scene’s structure and a reference image’s appearance—without additional training.
On the analytics side, Code Video Model competes within Open Source, Artificial Intelligence, GitHub and Video — topics that collectively have 593.7k followers on Product Hunt. The dashboard above tracks how Code Video Model performed against the three products that launched closest to it on the same day.
Who hunted Code Video Model?
Code Video Model was hunted by Anusha Viswanadham. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Code Video Model including community comment highlights and product details, visit the product overview.
Anusha Viswanadham
Code Video Model brings code into the video-generation process, giving creators explicit control over scene layout, object motion, camera trajectories, and physical dynamics.
Instead of relying entirely on a video model to invent movement, it generates an executable scene, renders a proxy video, and uses that structure to guide the final video.
Key features:
Generate editable Three.js scenes from text prompts
Control object placement, animation, camera movement, and dynamics through code
Render proxy videos to establish scene structure and motion
Use a reference image to guide the final visual appearance
Apply training-free early-step conditioning to guide a pretrained video model
Explore use cases including physics-grounded motion, bullet time, scene editing, robotics simulation, and 3D/4D reconstruction
Who it’s for: AI video researchers, developers building generative media tools, robotics teams, and creators who need more precise control over generated video.
Project page