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--- |
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license: apache-2.0 |
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tags: |
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- text-to-video |
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- video-generation |
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- diffusion |
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- dit |
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pipeline_tag: text-to-video |
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library_name: linum-v2 |
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--- |
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# Linum v2 - 360p |
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Small text-to-video generation model trained from scratch by [Linum AI](https://linum.ai). Lower VRAM requirements than the 720p variant. [Read the launch blog post](https://www.linum.ai/field-notes/launch-linum-v2). |
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## Model Description |
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Linum V2 is a 2B parameter Diffusion Transformer (DiT) based text-to-video model that generates 360p (640x360) videos at 24 FPS from text prompts. |
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| Property | Value | |
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|----------|-------| |
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| Resolution | 640x360 (360p) | |
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| Frame Rate | 24 FPS | |
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| Duration | 2-5 seconds | |
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| Parameters | 2B | |
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| Architecture | DiT + T5-XXL + WAN 2.1 VAE | |
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## Quick Start |
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**See the full documentation at: [GitHub - Linum-AI/linum-v2](https://github.com/Linum-AI/linum-v2)** |
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First, install [uv](https://docs.astral.sh/uv/): |
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```bash |
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curl -LsSf https://astral.sh/uv/install.sh | sh |
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``` |
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Then clone and generate your first video: |
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```bash |
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git clone https://github.com/Linum-AI/linum-v2.git |
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cd linum-v2 |
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uv sync |
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uv run python generate_video.py \ |
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--prompt "A cute 3D animated baby goat with shaggy gray fur, a fluffy white chin tuft, and stubby curved horns perches on a round wooden stool. Warm golden studio lights bounce off its glossy cherry-red acoustic guitar as it rhythmically strums with a confident hoof, hind legs dangling. Framed family portraits of other barnyard animals line the cream-colored walls, a leafy potted ficus sits in the back corner, and dust motes drift through the cozy, sun-speckled room." \ |
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--output goat.mp4 \ |
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--seed 16 \ |
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--cfg 10.0 \ |
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--resolution 360p |
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``` |
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<video src="https://huggingface.co/Linum-AI/linum-v2-360p/resolve/main/goat_360p_demo.mp4" controls autoplay muted loop width="100%"></video> |
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Weights are downloaded automatically on first run (~20GB). |
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For higher quality, use the [720p model](https://huggingface.co/Linum-AI/linum-v2-720p) (requires more VRAM). |
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## Files |
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``` |
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├── dit/ |
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│ └── 360p.safetensors # DiT model weights |
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├── vae/ |
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│ └── vae.safetensors # WAN 2.1 Video VAE |
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└── t5/ |
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├── text_encoder/ # T5-XXL encoder |
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└── tokenizer/ # T5 tokenizer |
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``` |
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## License |
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[Apache 2.0](LICENSE) |
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## Citation |
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```bibtex |
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@software{linum_v2_2026, |
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title = {Linum V2: Text-to-Video Generation}, |
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author = {Linum AI}, |
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year = {2026}, |
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url = {https://github.com/Linum-AI/linum-v2} |
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} |
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``` |
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