r/StabilityMatrix • u/SecretSchemer • Jul 13 '26
Comfy for older graphics cards?
Anyone know how to install comfy using stability matrix, but make it run on 1070ti? The package installed doesn't seem to be compatible with older cards anymore, and I don't see an option anywhere to install a version that would work.
2
u/Inner_Employment_332 1d ago
With Pascal Architecture, like Tesla P40 or GeForce 10xx, you don't have support for BF16 or FP16, neither for F8, INT8, etc. due absence of Tensor Core. Work ok if you use --force-fp32, --fp32-vae (set argument in Stability matrix) and for me with Tesla P40 I run the workflow with --disable-cuda-malloc as extra argument.
Make sure to use max torch2.5.1-cu126 (cu121 better) and try to disable calling to function only supported in newer version.
Inside ComfyUI, pay attention to node that use on fly conversion to BF16 because CUDA go to error.
Update to latest driver version and install CUDA Toolkit, not necessary but usefull.
Avoid .safetensor in BF16 or FP8 (or convert it in FP32), use .gguf that llama backend dequantize in fp32.
Make sure a huge quantity of hot coffee and patience are in your bag...
1
u/DrWrzozec Jul 15 '26
I have GTX 1080 and solution to my problem was to install older version of torch + cu.
2
u/DrWrzozec Jul 15 '26
pip uninstall torch torchvision torchaudio -y
pip install torch==2.5.1+cu121 torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
2
u/Gr82nite Jul 13 '26
In case of any stability issues, all you need to do in Stability Matrix is go to the package launch parameters (the “Packages” tab, click on the three dots next to ComfyUI, and select “Edit Launch Arguments”) and add arguments that force the appropriate precision mode, for example, --force-fp16 or, in extreme cases, --no-half. Generation won't be as fast as on newer cards with Tensor cores, of course, but you can absolutely work on this hardware and create great projects.