AOpen

SkyReels V2

Skywork AI

First open model for infinite-length video. Best human rendering in open source.

AOpen

Wan 2.2

Alibaba (Tongyi Lab)

MoE architecture with 27B total params but only 14B active. Trained on 65% more images and 83% more video than 2.1. Outperforms leading closed-source models on Wan-Bench 2.0.

Pick SkyReels V2 if…

You want long-form AI films, human-centric content, or short films and ads.

Pick Wan 2.2 if…

You want cinematic style control, speech-to-video, or consumer GPU deployment (TI2V-5B).

Specifications

Maker
Skywork AI
Alibaba (Tongyi Lab)
Source Type
Open Source
Open Source
License
Open Source
Apache 2.0
Architecture
AR Diffusion-Forcing
DiT + MoE (2-expert: high-noise + low-noise)
Parameters
14B
27B total (14B active per step, 2x14B experts)
Max Resolution
720p
720p
Max Duration
30s+ (infinite)
10-15s
FPS
24
24
Native Audio
No
No
ComfyUI Support
No
Yes
Fine-tunable
Yes
Yes
Min VRAM
40GB+ (A100/H100)
8GB (small) / 24GB (full)
Cost / Second
Self-host
Self-host
Inputs
T2V, I2V
T2V (A14B), I2V (A14B), TI2V (5B), S2V (14B)
On Floyo
No
Yes

Strengths & Trade-offs

SkyReels V2

Strengths

  • +First infinite-length open model
  • +10M+ film/TV training
  • +best open human faces

Trade-offs

  • -Heavy GPU req
  • -no ComfyUI
  • -newer community
  • -720p cap

Best For

  • Long-form AI films
  • human-centric content
  • short films and ads

Wan 2.2

Strengths

  • +First MoE in video diffusion
  • +27B total but only 14B active per step
  • +high-noise expert for layout + low-noise for detail
  • ++65.6% more images and +83.2% more video training data vs 2.1
  • +cinematic aesthetic control (lighting, composition, contrast, color tone)

Trade-offs

  • -720p cap
  • -MoE needs careful threshold tuning (SNR-based)
  • -no native audio in base model (S2V is separate)
  • -newer ecosystem than 2.1

Best For

  • Self-hosted production
  • cinematic style control
  • speech-to-video
  • consumer GPU deployment (TI2V-5B)