Wan2.1 T2V 14B
WanFeaturedApache 2.0video

Wan2.1 T2V 14B

Updated Jun 7, 2026
Parameters
14B
Context
8,192
License
Apache 2.0
Updated
Jun 7, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q4_K_M
1 of 1 quantizations fit Wan2.1 T2V 14B with real runtime overhead.
Q4_K_M
8.1 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Wan-AI/Wan2.1-T2V-14B

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Wan2.1 T2V 14B

Wan2.1 is an open and advanced video foundation model by Wan-AI (Alibaba). The T2V-14B variant generates high-quality 720P videos from text descriptions. It consistently outperforms both open-source and commercial solutions across multiple benchmarks.

Key features

  1. 720P video generation - high-quality 480P and 720P output
  2. 14B parameters - diffusion transformer with Flow Matching
  3. Apache 2.0 - fully open license
  4. Multilingual text - Chinese and English text generation in video
  5. Multiple tasks - T2V, I2V, video editing, T2I, video-to-audio
  6. Consumer GPU support - RTX 4090 compatible with optimizations

Performance

GPUResolutionTimePeak VRAM
RTX 4090480P (832×480)~4 min8.19 GB (1.3B)
RTX 4090720P (1280×720)-Offloaded
8× GPU720PFastFSDP

How to run

# Clone repo
git clone https://github.com/Wan-Video/Wan2.1.git
cd Wan2.1
 
# Install
pip install -r requirements.txt
 
# Download model
huggingface-cli download Wan-AI/Wan2.1-T2V-14B --local-dir ./Wan2.1-T2V-14B
 
# Generate
python generate.py --task t2v-14B --size 1280*720 \
  --ckpt_dir ./Wan2.1-T2V-14B \
  --prompt "Your video description here"

What the community says

"Wan2.1 is the best open video generation model. 14B and Apache 2.0, it rivals commercial solutions."

  • r/LocalLLaMA, 189 upvotes

Frequently asked

Quick answers to common questions

How much VRAM does Wan2.1 T2V 14B need?

Wan2.1 T2V 14B with 14B parameters needs significant VRAM depending on quantization. Use our VRAM calculator for an exact estimate.

Is Wan2.1 T2V 14B better than other Wan models?

Wan2.1 T2V 14B has 14B parameters with 8,192 context - a strong choice for text-to-video, video-generation.

What license is Wan2.1 T2V 14B under?

Wan2.1 T2V 14B is released under the Apache 2.0 license, making it suitable for most commercial and personal projects.

What hardware runs Wan2.1 T2V 14B well?

With 14B parameters, Wan2.1 T2V 14B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Wan2.1 T2V 14B?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Wan2.1 T2V 14B?

Wan2.1 T2V 14B competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Compare & pair with

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Nearby options

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