video model · hunyuanvideo · Windows
Can I run HunyuanVideo on Nvidia GeForce GTX 1070 (8GB)?
Needs ~16 GB at Q4 GGUF, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
Needs ~16 GB at Q4 GGUF, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
The gap is about 9 GB: HunyuanVideo needs roughly 16 GB and Nvidia GeForce GTX 1070 (8GB) leaves only about 7 GB usable for a model. The lightest tracked hardware that runs HunyuanVideo is the Nvidia GeForce RTX 4090 (24GB) at 24 GB. See HunyuanVideo on Nvidia GeForce RTX 4090 (24GB).
- Peak VRAM
- ~16 GB
- Usable on device
- ~7 GB
- Device memory
- 8 GB
- Quant
- Q4 GGUF
- Type
- video (DIT)
- Parameters
- 13B
- Peak VRAM
- ~16 GB at Q4 GGUF
- Resolution
- 544×960
- License
- Tencent Hunyuan Community License
- Memory
- 8 GB vram
- Usable for weights
- ~7 GB
- Power draw
- ~150 W
- Best runtime
- llama.cpp CUDA (Pascal, no tensor cores)
What you can run instead
Run HunyuanVideo on other hardware
FAQ
Can Nvidia GeForce GTX 1070 (8GB) run HunyuanVideo?
Needs ~16 GB at Q4 GGUF, but only ~7 GB is usable on Nvidia GeForce GTX 1070 (8GB). With aggressive CPU offload it can run on as little as ~8 GB, much slower.
How much VRAM does HunyuanVideo need?
Nvidia GeForce GTX 1070 (8GB) does not have enough memory. At Q4 GGUF the realistic peak is ~16 GB of VRAM, versus ~60 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~8 GB, much slower.
What do I use to run HunyuanVideo locally?
HunyuanVideo runs in ComfyUI. It loads as a video diffusion checkpoint plus its text encoder and VAE, not a single chat command.
Sources
VRAM figures are sourced peak-usage anchors at the noted quant, validated 2026-09-14. See methodology.