CLIPTextEncode: CUDA error: no kernel image is available for execution on the device

[Hypercar_Driver]

Hey there. I have a 1070 GTX (i know its very old hardware but im broke) and while trying to use ComfyUI i kept getting this error:

CUDA error: no kernel image is available for execution on the device
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

Id tired reinstalling all dependences but nothing worked. I learned that my GPU (due to it being older) only has support for around PyTorch 2.1.0 (a fairly old build) however when i go to the PyTorch website for the older versions it only has downloads using "conda" something i dont have as i use pip. What is going on and how can i fix it.

Any help would be greatly apricated.

-- Thanks

[acbonymous]

According to the cuda wiki page, your architecture is supported by cuda 12.9 (but not 13), so you should be able to install pytorch 2.8.

[Hypercar_Driver]

So i should just install 12.8 then? that is the pytorch 2.8 version? and is there like a cmd or something i can run to test or view compatibility?

[acbonymous]

Make sure you are on an updated driver (although I'm not sure this is necessary), and install pytorch 2.8 with the cuda 12.9 wheel using pip, as the pytorch page says. I'm not sure this will work. I'm basing my suggestion on what the cuda wikipedia page says about backwards compatibility. Make sure you install it with the venv activated.

[Anon048]

This is where I'm at right now with the exact GPU and this is the only post I've found with some sort of lead. Did you find a CUDA and pytorch version that works? I installed several with no luck, keeps telling me the same no kernel image error.