Wan2.2-I2V-A14B-Diffusers

The model is an image-to-video (I2V) generative diffusion model designed for high-quality video synthesis at 480P and 720P resolutions. It incorporates a Mixture-of-Experts (MoE) architecture with two specialized experts (high-noise and low-noise) to enhance model capacity while maintaining computational efficiency. The model supports both prompt-based and prompt-free video generation.

Key features

  • MoE Architecture: Separates denoising stages across experts to improve layout and detail refinement.
  • Resolution Support: Generates videos at 480P and 720P with 24fps.
  • Possibilities and methods of use: Inference is possible on a single GPU with 80 GB of VRAM (optimizations can be used: `offload_model`, `convert_model_dtype`).
  • Promptless generation: Generation is possible solely based on the input image, with optional extension of the prompt via third-party APIs (e.g. DashScope).

The model is a component of the video generation pipeline, consisting of:

  • Text encoder: ~5.6B parameters,
  • Transformer: 2*~14B parameters,
  • VAE: ~127M parameters,

Total: ~34.3B parameters


Announce Date: 28.07.2025
Parameters: 28B
Experts: 2
Activated at inference: 14B
Developer: Alibaba Wan Team
Diffusers Version: 0.35.0.dev0
vLLM-Omni Version: 0.12.0rc1
License: Apache 2.0

Public endpoint

Use our pre-built public endpoints for free to test inference and explore Wan2.2-I2V-A14B-Diffusers capabilities. You can obtain an API access token on the token management page after registration and verification.
Model Name Context Type GPU Status Link
There are no public endpoints for this model yet.

Private server

Rent your own physically dedicated instance with hourly or long-term monthly billing.

We recommend deploying private instances in the following scenarios:

  • maximize endpoint performance,
  • enable full context for long sequences,
  • ensure top-tier security for data processing in an isolated, dedicated environment,
  • use custom weights, such as fine-tuned models or LoRA adapters.

Recommended server configurations for hosting Wan2.2-I2V-A14B-Diffusers

Prices:
Name GPU Price, hour Generation time, sec.
teslaa100-1.16.64.160 1 $2.37 Launch
h100-1.16.64.160 1 $3.83 Launch
h100nvl-1.16.96.160 1 $4.11 Launch
h200-1.16.128.160 1 $4.74 Launch
Prices:
Name GPU Price, hour Generation time, sec.
teslaa10-1.16.32.160 1 $0.53 Launch
rtx3090-1.16.24.160 1 $0.83 Launch
rtx4090-1.16.32.160 1 $1.02 Launch
teslav100-1.12.64.160 1 $1.20 Launch
rtx5090-1.16.64.160 1 $1.59 Launch
teslaa100-1.16.64.160 1 $2.37 Launch
h100-1.16.64.160 1 $3.83 Launch
h100nvl-1.16.96.160 1 $4.11 Launch
h200-1.16.128.160 1 $4.74 Launch
Prices:
Name GPU Price, hour Generation time, sec.
teslat4-1.16.16.160 1 $0.33 Launch
rtx2080ti-1.10.16.500 1 $0.38 Launch
teslaa2-1.16.32.160 1 $0.38 Launch
teslaa10-1.16.32.160 1 $0.53 Launch
rtx3080-1.16.32.160 1 $0.57 Launch
rtx3090-1.16.24.160 1 $0.83 Launch
rtx4090-1.16.32.160 1 $1.02 Launch
teslav100-1.12.64.160 1 $1.20 Launch
rtx5090-1.16.64.160 1 $1.59 Launch
teslaa100-1.16.64.160 1 $2.37 Launch
h100-1.16.64.160 1 $3.83 Launch
h100nvl-1.16.96.160 1 $4.11 Launch
h200-1.16.128.160 1 $4.74 Launch

Related models

Krea Realtime 14B
Wan2.1-T2V-1.3B-Diffusers
Wan2.2-T2V-A14B-Diffusers
Wan2.2-TI2V-5B-Diffusers
Wan2.2-Animate-14B-Diffusers

Need help?

Contact our dedicated neural networks support team at nn@immers.cloud or send your request to the sales department at sale@immers.cloud.