image model · stable-diffusion · Windows

Can I run Stable Diffusion 3.5 Large on Nvidia GeForce GTX 1070 (8GB)?

Compatibility verdict VRAM check

Yes, but tight fast on this GPU

Yes. Stable Diffusion 3.5 Large runs on Nvidia GeForce GTX 1070 (8GB) at Q4 GGUF (~7 GB of ~7 GB usable).

Needs ~7 GB Device usable ~7 GB

Fits at Q4 GGUF (~7 GB of ~7 GB usable) but with little headroom. Close other apps to free a little VRAM before generating.

Peak VRAM: ~7 GB
Usable on device: ~7 GB
Device memory: 8 GB
Quant: Q4 GGUF

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How to run it

Use ComfyUI or Draw Things at Q4 GGUF. The big text encoder is loaded to encode your prompt, then offloaded before generation, which is why peak VRAM stays near the backbone size rather than the sum of every file.

Model stable-diffusion

Type: image (MMDIT)
Parameters: 8.1B
Peak VRAM: ~7 GB at Q4 GGUF
Resolution: 1024×1024
License: Stability Community License

Full Stable Diffusion 3.5 Large 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)

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You could also run

Run Stable Diffusion 3.5 Large on other hardware

Nvidia GeForce RTX 3060 Ti (8GB)Nvidia GeForce RTX 3060 (12GB)Nvidia GeForce RTX 4070 (12GB)iPhone 17 Pro iPhone Air Apple M2 (16GB)

FAQ

Can Nvidia GeForce GTX 1070 (8GB) run Stable Diffusion 3.5 Large?

Yes. Stable Diffusion 3.5 Large runs on Nvidia GeForce GTX 1070 (8GB) at Q4 GGUF (~7 GB of ~7 GB usable).

How much VRAM does Stable Diffusion 3.5 Large need?

It is a tight fit on Nvidia GeForce GTX 1070 (8GB). At Q4 GGUF the realistic peak is ~7 GB of VRAM, versus ~19 GB with every component kept resident (no offload). With aggressive CPU offload it drops to ~5 GB, much slower.

What do I use to run Stable Diffusion 3.5 Large locally?

Stable Diffusion 3.5 Large runs in ComfyUI or Draw Things (among others). It loads as a 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.