Wan 2.2
Open-weight video diffusion from Alibaba.
Open Source 12–48 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- Workstation GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free
NVIDIA Cosmos
World-foundation models for physical AI.
Open Source 24–80 GB VRAMRuns locally
Actually FreeWatermark-FreeAPI
Visit NVIDIA CosmosUpdated 2026-05-12 · Direct link
Hardware requirements
Runs locally · Datacenter GPU (80 GB+)
Min VRAM
24 GB
Rec. VRAM
80 GB
Min RAM
32 GB
Rec. RAM
64 GB
Disk
80 GB
GPU class
Datacenter GPU
12.0+No Apple SiliconGPU RequiredQuant: FP16, BF16
4B variant on 24 GB; 14B + tokenizer pipeline needs H100-class.
Screenshot placeholder · NVIDIA Cosmos
What is NVIDIA Cosmos?
Cosmos is NVIDIA's open foundation-model family for "physical AI" — robotics, autonomous vehicles, simulation. Includes diffusion and autoregressive video generators (Cosmos-Predict), tokenizers, and guardrails. Aimed at synthetic-data generation for physical-world ML rather than artistic video.
Pros & cons
Pros
- Purpose-built for synthetic data in robotics / AV pipelines
- Physics-aware video generation (camera motion, object permanence)
- Full pipeline: tokenizer, generator, guardrails
- Open weights at multiple sizes (4B → 14B)
Cons
- Hardware floor is high — 48 GB+ for the larger variants
- Not aimed at general creative video — different model than Wan/Hunyuan
- Licence is open but not OSI-approved
What's actually free?
NVIDIA Open Model License — permissive but not OSI-OSS.
✓ Actually FreeWatermark-Free
Alternatives
HunyuanVideo
13B open-weight cinematic text-to-video.
Open Source 24–48 GB VRAM
- Min VRAM
- 24 GB
- GPU class
- Workstation GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free
LTX-Video
Real-time-ish open video diffusion from Lightricks.
Open Source 12–16 GB VRAM
- Min VRAM
- 12 GB
- GPU class
- High-end GPU
- Quant
- FP16
Actually FreeNo SignupOpen SourceWatermark-Free