File size: 2,516 Bytes
3a6a4c5 e14c446 3a6a4c5 e69b5a9 3a6a4c5 c380eeb 3a6a4c5 707acf6 3a6a4c5 e14c446 3a6a4c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 | ---
license: apache-2.0
tags:
- text-to-video
- video-generation
- diffusion
- dit
pipeline_tag: text-to-video
library_name: linum-v2
---
# Linum v2 - 360p
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).
## Model Description
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.
| Property | Value |
|----------|-------|
| Resolution | 640x360 (360p) |
| Frame Rate | 24 FPS |
| Duration | 2-5 seconds |
| Parameters | 2B |
| Architecture | DiT + T5-XXL + WAN 2.1 VAE |
## Quick Start
**See the full documentation at: [GitHub - Linum-AI/linum-v2](https://github.com/Linum-AI/linum-v2)**
First, install [uv](https://docs.astral.sh/uv/):
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```
Then clone and generate your first video:
```bash
git clone https://github.com/Linum-AI/linum-v2.git
cd linum-v2
uv sync
uv run python generate_video.py \
--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." \
--output goat.mp4 \
--seed 16 \
--cfg 10.0 \
--resolution 360p
```
<video src="https://huggingface.co/Linum-AI/linum-v2-360p/resolve/main/goat_360p_demo.mp4" controls autoplay muted loop width="100%"></video>
Weights are downloaded automatically on first run (~20GB).
For higher quality, use the [720p model](https://huggingface.co/Linum-AI/linum-v2-720p) (requires more VRAM).
## Files
```
├── dit/
│ └── 360p.safetensors # DiT model weights
├── vae/
│ └── vae.safetensors # WAN 2.1 Video VAE
└── t5/
├── text_encoder/ # T5-XXL encoder
└── tokenizer/ # T5 tokenizer
```
## License
[Apache 2.0](LICENSE)
## Citation
```bibtex
@software{linum_v2_2026,
title = {Linum V2: Text-to-Video Generation},
author = {Linum AI},
year = {2026},
url = {https://github.com/Linum-AI/linum-v2}
}
```
|