Generates animated videos by writing code that renders each frame, similar to Manim, allowing element-level editing. Based on Qwen 3.8 27B, about 55GB.

SenseNova 6.8 Code2Video
by SenseTime
Open-weights 27B model from SenseTime that creates short videos by generating and rendering executable code.
Updated EU status checked Last shown
SenseNova 6.8 Code2Video at a glance
- What is SenseNova 6.8 Code2Video?
- SenseNova 6.8 Code2Video is a model from SenseTime. Open-weights 27B model from SenseTime that creates short videos by generating and rendering executable code.
- Who makes SenseNova 6.8 Code2Video?
- SenseNova 6.8 Code2Video is made by SenseTime.
- Does SenseNova 6.8 Code2Video work in the EU?
- Available in the EU. Weights are downloadable from Hugging Face and GitHub with no region restriction seen in the provided material; the license text was not available to confirm there is no EU exclusion. Last verified 14 Nov 2026.
- How much does SenseNova 6.8 Code2Video cost?
- Open source. Weights downloadable for free from Hugging Face; self-hosting requires GPU hardware (about 55GB of weights per a creator report).
- Where was SenseNova 6.8 Code2Video shown?
- In 1 creator video by AI Search. Most recently by AI Search on 1 Nov 2026, at 39:51 in “AI finally sleeps, Gemini 4 Carbon, ETH cracked, energy-based models, Anthropic IPO: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
SenseNova 6.8 Code2Video is a lightweight open model from SenseTime for code-driven video creation. Instead of sampling a clip from a video diffusion model, it writes executable code that renders each frame, in the manner of Manim-style motion graphics. It is fine-tuned from Qwen3.8-27B and has a 512K context window. The current release focuses on short videos implemented entirely in code.
Because every element is a named object in the code, individual elements can be resized, retimed or restyled without changing the rest of the film. After a first cut, the model accepts follow-up notes, edits the same project and re-renders. Text, formulas and data are typeset exactly, and each frame is a pure function of time, so the same code reproduces the same video. The authors say rendering on ordinary hardware is cheaper than sampling a video model, though a full production run still takes hours of agent time.
The GitHub repository releases model weights (hosted on Hugging Face), deployment and serving instructions, a code-video skill with workflow guides and rendering/checking tools, a prompt-enhancement template, and full production trajectories. It is aimed at researchers and developers. SenseTime describes it as a first step; long-term plans include calling image, video and 3D models from code and extending to editing, compositing and animation. The license is not stated in the provided material.
- Generates executable code that renders each frame of a short video
- Element-level editing: change one object without resampling the whole clip
- Iterative refinement rounds that edit the same project and re-render
- Fine-tuned from Qwen3.8-27B with 512K context
- Ships with a code-video skill, prompt-enhancement template and production trajectories
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
Similar AI tools
Closest neighbours by meaning, not just by category.
SenseNova U1.5 8B
Model · SenseTime
Open-weights 8B image generation and editing model from SenseTime that works in pixel space without a VAE.
SenseNova-Loop 9B
Model · SenseTime
9B-parameter looped multimodal model from SenseTime that reuses a layer block twice for long-context and agentic tasks.
Manim
Library
Community-maintained Python library for programmatically creating mathematical and explanatory animations.
LTX 2.5
Model · Lightricks
Open-weights Lightricks video model with native audio, multi-shot generation, auto duration and up to 4K output.
MAGI-2
Model · Sand AI
Open-weights 114B MoE model from Sand AI that generates synchronized video and audio from text or image prompts.
Seedance 2.0
Model · ByteDance
ByteDance Seed's multimodal video generation model, producing video from text and reference inputs.