Alibaba Wan 2.1 1.3B / LTX-Video (Fast Consumer Video) VRAM Requirements Guide
Lightweight AI video & movie clip generator engineered to run comfortably on 8GB–12GB consumer GPUs (RTX 3060 / 4060).
>98.2% retention. 2.8 GB weights, leaving +5.5 GB headroom on Intel Arc B580 12GB.
Near-lossless 8-bit precision requiring 8.7 GB VRAM for benchmark evaluations.
Uncompressed FP16 weights taking 12.9 GB. Demands multi-GPU or datacenter accelerators.
Architectural Memory Breakdown & Attention Scaling
Wan 2.1 1.3B is an efficient compact diffusion video transformer designed for rapid 480p standard-definition video generation. With 1.4B parameters, its 4-bit quantized weights occupy only ~1.8 GB, while temporal latent memory requires ~4.2 GB during generation, allowing 5-second video clips to render on budget 8GB–12GB GPUs.
Enable scaled dot-product attention via PyTorch 2.0+ and pass `--lowvram` mode. Clamping video duration to 81 frames keeps peak temporal memory inside 6.5 GB on 8GB graphics cards.
Intel Arc B580 12GB provides 12.0 GB physical VRAM (+5.5 GB operational margin at 8k context).
Run Alibaba Wan 2.1 1.3B / LTX-Video (Fast Consumer Video) Locally
ollama run wan-2-1-1-3b-480p:q4_K_Mvllm serve Alibaba / Lightricks/wan-2-1-1-3b-480p --max-model-len 8192 --gpu-memory-utilization 0.95Frequently Asked Questions
Can Wan 2.1 1.3B run on budget 8GB graphics cards?
Yes! At 480p resolution, peak VRAM requirement is ~6.8 GB, allowing budget cards like the RTX 3060 Ti 8GB and RTX 4060 8GB to generate video clips.
How fast does Wan 2.1 1.3B render video on an RTX 4060?
An RTX 4060 renders a 5-second 480p video clip in approximately 45–60 seconds, offering rapid prototyping for creative workflows.
Test Custom Hardware & Context Windows
Simulate Alibaba Wan 2.1 1.3B / LTX-Video (Fast Consumer Video) across all 31 GPUs, adjust context up to 512 tokens, or calculate RunPod break-even costs.
Open Alibaba Wan 2.1 1.3B / LTX-Video (Fast Consumer Video) in GPU Garden Matchmaker →