Wan 2.2
Open-weight video diffusion from Alibaba.
Requires: ComfyUI
HARDWARE REQUIREMENTS //
Runs locally · Workstation GPU (32–48 GB)
1.3B variant fits 12 GB. 14B FP8 fits 24 GB. 14B BF16 wants 48 GB.
Why we recommend Wan 2.2
- Open source
Source is public — you can audit it, fork it, and you'll never lose access to your workflows if Wan 2.2 the company changes direction.
- Runs on 12 GB
Comfortable on a mid-range consumer card — no need to remortgage for an A100.
- Top-tier pick
Power-user score 92/100 — consistently rated highly by people who use this every day, not just benchmark chasers.
- 4 quant formats
Supports FP16, FP8, GGUF Q4_K_M and 1 more — you can dial VRAM use up or down to match your card.
Documentation-led datasheet
This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.
AT-A-GLANCE SIGNALS //
DERIVED FROM THIS PAGE'S DATA- Install difficultyPlugin
Drops into comfyui — assuming the host is already set up.
- Hardware comfortMainstream
Needs 12 GB minimum — RTX 3060 12GB or 4070 territory.
- EcosystemActive community
Open source plus 4 community resources we've vetted — there are people to ask.
- VerificationRecent
Catalogue entry last updated 59 days ago — re-verification due soon.
Tutorials & deep-dives for Wan 2.2
Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.
Other heavy video generation tools we rate
Three picks across different tradeoffs — so you don't end up with three near-clones of Wan 2.2.
What is Wan 2.2?
Wan 2.2 is the current open-weight benchmark for text-to-video and image-to-video at 720p. Available in 1.3B and 14B variants — the 14B runs on 24 GB with FP8 / GGUF quantization in ComfyUI.
Pros & cons
✓ PROS
- Best open-weight video quality right now
- Strong I2V and T2V
- Active ComfyUI integrations
– CONS
- 14B model is VRAM-hungry
- Generation times measured in minutes per clip
- Mostly Linux/CUDA in practice
What's actually free?
Open weights with permissive license. Run free on your own GPU.
Alternatives
LTX-Video
Real-time-ish open video diffusion from Lightricks.