Alibaba Cloud 14.3 Billion Parameters (DIFFUSION DIT)

Alibaba Wan 2.1 T2V/I2V 14B (720p AI Video) VRAM Requirements Guide

SOTA open-weight 720p AI movie & video generator (14B DiT + UMT5-XXL). Fits 24GB GPUs at Q4/FP8 or runs unquantized on 48GB–80GB Cloud pods.

4-Bit (Q4_K_M) - Recommended

18.15 GB

>98.2% retention. 12.2 GB weights, leaving +5.9 GB headroom on Dual NVIDIA RTX 3060 Rig (24GB VRAM).

8-Bit (Q8_0) - Near Lossless

28.21 GB

Near-lossless 8-bit precision requiring 28.2 GB VRAM for benchmark evaluations.

16-Bit (FP16 / BF16) - Full

47.07 GB

Uncompressed FP16 weights taking 47.1 GB. Demands multi-GPU or datacenter accelerators.

Architectural Memory Breakdown & Attention Scaling

Wan 2.1 14B is a state-of-the-art open diffusion video transformer featuring 14.3B parameters optimized for 720p HD text-to-video and image-to-video generation. Utilizing 3D spatio-temporal attention across temporal latent volumes, 4-bit quantized weights require ~9.5 GB, while temporal latent activation buffers require 10.5 GB, demanding at least 24GB VRAM for local rendering.

Tier 1 Free Software Optimization ($0)

Enable sequential temporal layer offloading and block-wise VAE decoding in the Wan inference pipeline. Quantize text encoders to FP8 to save 3GB of memory, keeping 720p 5-second video rendering within 22.5 GB of VRAM.

Recommended Hardware Sweet Spot

Dual NVIDIA RTX 3060 Rig (24GB VRAM)

Dual NVIDIA RTX 3060 Rig (24GB VRAM) provides 24.0 GB physical VRAM (+5.9 GB operational margin at 8k context).

Buy Dual NVIDIA RTX 3060 Rig (24GB VRAM) on Amazon Rent Cloud GPU on RunPod (from $0.79/hr) Rent on Vast.ai (from $0.35/hr)

Run Alibaba Wan 2.1 T2V/I2V 14B (720p AI Video) Locally

Ollama Execution Command:

ollama run wan-2-1-14b-720p:q4_K_M

vLLM Production Serving:

vllm serve Alibaba Cloud/wan-2-1-14b-720p --max-model-len 8192 --gpu-memory-utilization 0.95

Frequently Asked Questions

Can Wan 2.1 14B run on a single RTX 4090 24GB?

Yes! At 4-bit quantization with sequential offload enabled, 720p video clips render within 22.5 GB VRAM on a 24GB RTX 4090 or RTX 3090.

How long does it take to render a video on Wan 2.1 14B?

On an RTX 4090, rendering a 5-second 720p video clip at 24 fps takes approximately 3 to 5 minutes depending on sampling steps.

Test Custom Hardware & Context Windows

Simulate Alibaba Wan 2.1 T2V/I2V 14B (720p AI Video) across all 31 GPUs, adjust context up to 512 tokens, or calculate RunPod break-even costs.

Open Alibaba Wan 2.1 T2V/I2V 14B (720p AI Video) in GPU Garden Matchmaker →