# Nvidia RTX 5060 > Source: > Published: 2026-09-27 00:12:55+00:00 Yeah. Quite a few projects still ship **official** builds with an older CUDA/PyTorch stack aimed at pre-Blackwell GPUs. In many cases, updating PyTorch may be enough to make the core app usable. If I were choosing a GUI for Blackwell today, I’d probably use Forge Neo or ComfyUI… I would not generalize this to “the RTX 5060 is incompatible with image-generation software” as a whole. There **is** a real compatibility problem with some older packaged environments. Fooocus is a good example: its current launcher still defaults to `torch==2.1.0` and `xformers==0.0.23`, while RTX 5060 users have reported the bundled PyTorch rejecting the card’s `sm_120` compute capability and then failing with `no kernel image is available for execution on the device`. But that is different from the GPU itself being unusable. PyTorch added Blackwell support with CUDA 12.8 builds in PyTorch 2.7, and current image-generation environments can use much newer CUDA/PyTorch stacks. So for a new RTX 5060 installation, my default route would be: That separates “does Blackwell work at all?” from “does this particular extension/kernel work on Blackwell?” ComfyUI is especially straightforward as a baseline at the moment: its current Windows portable uses a modern PyTorch/CUDA stack, and its maintained stack manifest explicitly includes CUDA builds covering compute capability 12.0. Forge Neo is also actively targeting current PyTorch/CUDA versions. One useful design choice there is that it can fall back to native PyTorch scaled-dot-product attention rather than requiring every optional acceleration library. Its own README specifically warns against blindly installing every attention backend. Why this can be confusing on RTX 50-series So I think the practical picture is closer to: ``` RTX 5060 itself: usable for current PyTorch/image-generation stacks old packaged PyTorch: can definitely be a problem current ComfyUI / Forge Neo: good places to establish a clean Blackwell baseline Fooocus official portable: old bundled runtime is a known problem RuinedFooocus: newer runtime management; should be evaluated separately xFormers / Flash / Sage / custom nodes: test separately from core GPU support 8 GB VRAM: still a real constraint, but a different problem ``` For someone who just wants to generate images rather than debug Python packaging, I would probably start with a clean current **ComfyUI** or **Forge Neo** installation, verify one ordinary generation, and only then recreate the desired Fooocus/extensions workflow. That should tell you very quickly whether you are dealing with the RTX 5060 itself, an old packaged runtime, or one particular optional component.