Wan 2.2 T2V-A14B
Generates video from a text prompt using a mixture-of-experts diffusion transformer with 27B total and 14B active parameters, split into a high-noise expert for layout and a low-noise expert for detail.
- Resolution
- 720P
- Weights
- Downloadable
- API
- Yes
- Commercial use
- Vendor states commercial use is permitted
Supports 480P and 720P output and accepts English or Chinese prompts. Weights, inference code and diffusers integration are all published.
Apache-2.0. The repository states: 'The models in this repository are licensed under the Apache 2.0 License.
Specification
- What it takes in
- text
- What it makes
- video
- Maximum duration
- not established
- Maximum resolution
- 720P
- Aspect ratios
- not established
- Controls
- text prompt, negative prompt, resolution selection, seed, prompt extension via LLM, multi-GPU FSDP/DeepSpeed Ulysses inference, LoRA fine-tuning via community tooling
- Weights
- Downloadable
- API
- Yes
- Pricing
- Free open weights (Apache-2.0) for self-hosting. Official README states at least 80GB VRAM is required for single-GPU A14B inference, so this variant realistically needs an A100/H100-class GPU or multi-GPU sharding; community FP8/GGUF quantizations reduce this but are not vendor-supported. Also offered as a paid hosted API through Alibaba Cloud Model Studio (Bailian), and on third-party hosts such as Replicate and fal.
- Released or updated
- 2025-07-28
- Prompt limit
- 512 tokens (UMT5-XXL text encoder)Vendor figure, checked 2026-08-16Collected from the vendor's own documentation on 16 August 2026. Vendors change these between model versions without announcing it, so check the vendor's current API reference before you rely on it. Check the vendor's documentation
Maximum duration and supported aspect ratios are not established here. That means no page we could retrieve stated them, not that the model lacks them.
Strengths
- Truly permissive Apache-2.0 license with no revenue or user thresholds
- Strong motion quality and prompt adherence for an open model
- Large ecosystem of LoRAs, ComfyUI workflows and community quantizations
- Bilingual English/Chinese prompting
- Cinematic aesthetic controls trained on labelled lighting/composition data
Weaknesses
- 80GB VRAM for official single-GPU inference puts it out of reach of consumer hardware without quantization
- Official docs omit frame count and fps for this variant
- Capped at 720P native; no 1080P/4K path
- No native audio generation
Best for
- Teams that need a commercially unencumbered, self-hostable text-to-video base model to fine-tune, and have datacenter-class GPUs available.
Where the sources disagree
Recorded rather than resolved. Picking the tidier number would hide the fact that the vendor's own pages do not agree.
- Third-party blogs quote specific frame counts and fps for the A14B variants; the official README does not state them. Left null rather than guessed.
What to understand before using it
Explainers naming the mechanisms this model's own documentation mentions.
MCP servers that front Alibaba Tongyi Lab (Wan)
Servers in the media MCP directory whose own description or homepage names this vendor. Absence of a server here is not evidence that none exists: most publish no tool list at all.
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370.ai, AI Gateway: Video (Seedance 2.0, Wan, HappyHorse), Image, Speech + 100+ Chat Models
One key, 100+ models, chat with any LLM and generate video, images, speech. Free trial at 370.ai.
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Aetherwave
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Clipia
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Fal
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Filtrix AI MCP
Filtrix MCP for image/video generation. Portal.
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Higgsfield
Create images and videos from a prompt inside any MCP compatible AI tool.
See it from the vendor
Shotcraft hosts no sample output. Judging a model means watching its own showreel with your own eyes, and a clip re-hosted here would be a clip we chose.
Nearby in the directory
Wan 2.1 T2V (1.3B and 14B)
The first widely adopted Apache-2.0 video generation family. T2V-1.3B generates 480P and fits in about 8.19GB of VRAM; T2V-14B handles 480P and 720P.
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