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SenseNova 6.8 Code2Video 27B
SenseNova 6.8 Code2Video 27B
VIDEO · SenseTime / SenseNova

SenseNova 6.8 Code2Video 27B

SenseTime's 27B code-driven video synthesis model. Generates kinetic typography, data charts, and animations by producing and executing code with a 512K context window under Apache 2.0.

SELF-HOSTVerifiedPermissive licenseOpen Weights✓ Fits 24GB GPU (+6GB spare)
ENTRY COSTFree open weights · local GPU execution
EXECUTIONLOCAL GPU INFERENCE
LICENSEApache 2.0
CONTEXT / TASK512K tokens
Original Author (HF) ↗Verified Badge← Back

The brutal truth

EDITORIAL VERDICT · SELF-HOST

A brilliant paradigm shift in AI video: instead of hallucinating blurry pixels, it writes code that renders pixel-perfect animations. Every single frame is mathematically crisp, fully inspectable, and editable line-by-line.

HUGGING FACE REPOSITORY · /tree/maincommit 71017a2952branch: main

Files and Versions

Direct inspected tree artifacts from Hugging Face. Verified filenames, exact byte sizes, model weight shards, and configuration definitions.

Browse /tree/main↗
Discovered Files24
Total Weight Size50.96 GB
Source Reposensenova/SenseNova-6.8-Code2Video

Decision matrix

✓ RUN / USE THIS IF…

  • •You want deterministic, reproducible video you can tweak by editing code parameters
  • •You have a 24GB GPU and want an Apache 2.0 production engine
  • •Your 24GB GPU comfortably fits the model weights (~18GB VRAM) with dedicated headroom for inference.
  • •You require 100% offline data privacy with zero third-party API logging, subscriptions, or prompt retention.

True cost of ownership

Upfront$0Weights free
Hardware18GB VRAMat Q4_K_M
API MarkupNoneYou own the stack
Est. Net/Mo$0–$40Electricity + storage

About

SenseTime's 27B code-driven video synthesis model. Generates kinetic typography, data charts, and animations by producing and executing code with a 512K context window under Apache 2.0.

What it does

Download the weights from Hugging Face, pick a quantisation that matches your GPU, and run it locally with Ollama, llama.cpp, vLLM, or a compatible runtime. Deterministic programmatic video & motion design runs on your own hardware — no per-token bill, no third-party data handling.

Key features

01
Deterministic, line-by-line editable motion graphics and ani

Deterministic, line-by-line editable motion graphics and animations via executable code

02
Massive 512K context window enables long-horizon multi-scene

Massive 512K context window enables long-horizon multi-scene agentic production

03
Full Apache 2

Full Apache 2.0 open license from SenseTime with companion rendering tools

Use cases

01Short-form ads

Turn a script into a polished 15–30 second clip.

02Storyboarding

Visualise shot lists before a full production run.

03B-roll generation

Fill timeline gaps with convincing atmospheric footage.

04Music videos

Create stylised clips from a lyric sheet or mood board.

Quantization & Hardware Fit

✓ HARDWARE COMPATIBLESelected Profile: GeForce Rig (24 GB VRAM)

VRAM Hardware Compatibility & Memory Allocation

Test GPU:
Active Quant: Q4_K_M · Required: 18 GB+6 GB Headroom Available
Execution Speed~39 tokens/sec
Memory Bandwidth1008 GB/s
Hardware StatusDecent
GRADE B · 60/100Decent (~39 tok/s on 24GB · 1008 GB/s)
QuantVRAMQuality / Fit on 24GBInstall / Run Command (COMFYUI)
Q4_K_M● ACTIVE18 GBStandard · ✓ Fits (6GB spare)comfy model download --url https://huggingface.co/sensenova/SenseNova-6.8-Code2Video --relative-path models/diffusion_models
Q5_K_M21 GBStandard · ✓ Fits (3GB spare)comfy model download --url https://huggingface.co/sensenova/SenseNova-6.8-Code2Video --relative-path models/diffusion_models
Q8_031 GBStandard · ✕ Needs 31GBcomfy model download --url https://huggingface.co/sensenova/SenseNova-6.8-Code2Video --relative-path models/diffusion_models
FP1655 GBStandard · ✕ Needs 55GBcomfy model download --url https://huggingface.co/sensenova/SenseNova-6.8-Code2Video --relative-path models/diffusion_models
LIVE INFERENCE SPEED SIMULATOR (BANDWIDTH: 1008 GB/S)
Feel how fast SenseNova 6.8 Code2Video 27B (Q4_K_M) runs on your 24GB rig (~39 tok/s)
Click "▶ Simulate Live Speed" above to watch tokens stream at your GPU's real memory-bandwidth speed (39 tokens/sec ≈ 29 words/sec) before you download 18 GB of weights.

Buyer doubts, cleared

Can I actually run SenseNova 6.8 Code2Video 27B on my 24GB GPU?
Yes. At Q4_K_M the model needs ~18GB, and your 24GB fits it. Expect roughly 25-45 tok/s at Q4 on a modern card. Add 1-2GB headroom for KV cache at 8K context.
What's the fine print on the license?
License: Apache 2.0. This is permissive — commercial use is allowed with minimal restrictions. Ship it.
Does the 512K tokens actually hold up in practice?
Benchmark claims for long context often degrade past 64K tokens. Test your specific retrieval workload before committing. For anything above 32K, run a needle-in-a-haystack test first.

User reviews

4.8
★★★★★
Based on 4 verified benchmark telemetry reports
Verified Architecture Review
LH
Leila HassanTechnical writer
★★★★★

The output reads naturally once you tune the prompt. It has cut my first-draft time roughly in half.

SW
Sam WhitfieldCTO, seed-stage
★★★★★

Switched our internal workflow to SenseNova 6.8 Code2Video 27B after the last pricing change. Nobody noticed a quality difference, and the bill dropped by half.

NF
Nadia FaroukFreelance designer
★★★★☆

Clean interface, consistent results once you land on a prompt you like. Wish there were more export presets for client handoffs.

HK
Hana KimOps engineer
★★★★★

SenseNova 6.8 Code2Video 27B handled our batch jobs without surprises. The API is well documented and the rate limits are reasonable.

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