# Tencent HunyuanVideo 13B (Cinema DiT) VRAM Requirements & Hardware Sizing Guide

> **Quick Summary (Answer Capsule)**: Running Tencent HunyuanVideo 13B (Cinema DiT) requires 16.41 GB at Q4_K_M (4-bit), 25.21 GB at Q8_0 (8-bit), and 41.72 GB at FP16. Recommended hardware sweet spot: Dual NVIDIA RTX 3060 Rig (24GB VRAM). Scaling context past 32k tokens requires enabling FP8 KV-cache (-ctk q8_0) to prevent CUDA allocation failures.

## Memory Specifications by Precision
| Quantization Format | Precision Level | Required VRAM (8k context) | Quality Retention | Minimum Recommended GPU |
|---|---|---|---|---|
| 4-Bit (Q4_K_M) | Recommended Default | 16.41 GB | >98.2% Perplexity | Dual NVIDIA RTX 3060 Rig (24GB VRAM) |
| 8-Bit (Q8_0) | Near Lossless | 25.21 GB | ~99.9% Perplexity | Workstation / High-Tier GPU |
| 16-Bit (FP16/BF16) | Uncompressed Full | 41.72 GB | 100% Fidelity | Multi-GPU / Datacenter |

## Architectural Memory Analysis
Tencent's Hunyuan Video 13B is a 13.0B parameter open-weights video diffusion transformer engineered for high-fidelity 720p generative video. Pairing dual text encoders (multilingual Hunyuan-CLIP and MLLM) with a 3D causal VAE, native weights and temporal latent buffers consume 21.5 GB in 4-bit precision, serving as the benchmark video workload for 24GB GPUs.

## Tier 1 Free Software Optimization ($0)
In ComfyUI or the native Hunyuan pipeline, pass `--fp8_e4m3fn` for text encoders and enable temporal VAE tiling. This prevents out-of-memory spikes during the final 3D latent decompression pass on 24GB graphics cards.

## 1-Click Launch Terminal Snippets
- Ollama: `ollama run hunyuan-video-13b:q4_K_M`
- vLLM: `vllm serve Tencent/hunyuan-video-13b --max-model-len 8192 --gpu-memory-utilization 0.95`

## Verified Hardware & Cloud Pathways
- Amazon Hardware: [RTX 3060 12GB graphics card](https://www.amazon.com/s?k=RTX+3060+12GB+graphics+card&tag=sparecables-20) (rel="noopener sponsored")
- RunPod Cloud Rental: [Deploy Instance](https://runpod.io?ref=ynypzu94) (rel="noopener sponsored")
- Vast.ai Cloud Rental: [Deploy Instance](https://cloud.vast.ai/?ref_id=723130) (rel="noopener sponsored")

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*Interactive Sizing Calculator available at: https://www.gpugarden.com/vram/hunyuan-video-13b/*