video model · stable-video-diffusion · Windows

Can I run Stable Video Diffusion (img2vid-XT) on Nvidia GeForce GTX 1070 (8GB)?

Compatibility verdict VRAM check

No, not enough memory would not load

Needs ~8 GB at fp16 + offload, 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 ~8 GB Device usable ~7 GB

Needs ~8 GB at fp16 + offload, 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 1 GB: Stable Video Diffusion (img2vid-XT) needs roughly 8 GB and Nvidia GeForce GTX 1070 (8GB) leaves only about 7 GB usable for a model. The lightest tracked hardware that runs Stable Video Diffusion (img2vid-XT) is the Nvidia GeForce RTX 3060 (12GB) at 12 GB. See Stable Video Diffusion (img2vid-XT) on Nvidia GeForce RTX 3060 (12GB).

Peak VRAM: ~8 GB
Usable on device: ~7 GB
Device memory: 8 GB
Quant: fp16 + offload

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Model stable-video-diffusion

Type: video (UNET)
Parameters: 1.5B
Peak VRAM: ~8 GB at fp16 + offload
Resolution: 1024×576
License: Stable Video Diffusion Community License

Full Stable Video Diffusion (img2vid-XT) requirements →

Device Windows

Memory: 8 GB vram
Usable for weights: ~7 GB
Power draw: ~150 W
Best runtime: llama.cpp CUDA (Pascal, no tensor cores)

Best models for Nvidia GeForce GTX 1070 (8GB) →

What you can run instead

WA Wan 2.1 T2V 1.3B Yes

Run Stable Video Diffusion (img2vid-XT) on other hardware

Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)Apple M2 (16GB)Apple M4 (16GB)Nvidia GeForce RTX 4060 Ti (16GB)Nvidia GeForce RTX 4080 (16GB)

FAQ

Can Nvidia GeForce GTX 1070 (8GB) run Stable Video Diffusion (img2vid-XT)?

Needs ~8 GB at fp16 + offload, 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 Stable Video Diffusion (img2vid-XT) need?

Nvidia GeForce GTX 1070 (8GB) does not have enough memory. At fp16 + offload the realistic peak is ~8 GB of VRAM, versus ~22 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 Stable Video Diffusion (img2vid-XT) locally?

Stable Video Diffusion (img2vid-XT) runs in ComfyUI or Diffusers. It loads as a video diffusion checkpoint plus its image 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.