UserWarning: NVIDIA GeForce RTX 5080 with CUDA capability sm_120 is not compatible with the current PyTorch installation.

Currently enabled native sdp backends: ['flash', 'math', 'mem_efficient', 'cudnn']
Xformers is not installed!
Flash Attn is not installed!
Sage Attn is not installed!
F:\tmp\framepack_cu126_torch26\system\python\lib\site-packages\torch\cuda\__init__.py:235: UserWarning:
NVIDIA GeForce RTX 5080 with CUDA capability sm_120 is not compatible with the current PyTorch installation.
The current PyTorch install supports CUDA capabilities sm_50 sm_60 sm_61 sm_70 sm_75 sm_80 sm_86 sm_90.
If you want to use the NVIDIA GeForce RTX 5080 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/

warnings.warn(
Namespace(share=False, server='127.0.0.1', port=None, inbrowser=True)
Free VRAM 14.5185546875 GB
High-VRAM Mode: False
Downloading shards: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 4000.29it/s]
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 13.73it/s]
Fetching 3 files: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3/3 [00:00

No source file or test is named; start by reviewing the logged PyTorch CUDA compatibility warning and the linked PyTorch installation instructions, then reproduce it on the NVIDIA GeForce RTX 5080. The issue does not define a requested change or acceptance criteria, so what counts as done must be clarified before work begins.

Written by the indexing model from the issue text.