NVIDIA GeForce RTX 5070 Ti 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! C:\Users\jonat\Downloads\framepack_cu126_torch26\framepack_cu126_torch26\system\python\lib\site-packages\torch\cuda_init_.py:235: UserWarning: NVIDIA GeForce RTX 5070 Ti 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 5070 Ti 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 14.6845703125 GB High-VRAM Mode: False Downloading shards: 100%|██████████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 2642.91it/s] Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 4.54it/s] Fetching 3 files: 100%|██████████████████████████████████████████████████████████████████████████| 3/3 [00:00<?, ?it/s] Loading checkpoint shards: 33%|███████████████████ | 1/3 [00:00<00:00, 2.99it/s]Press any key to continue . . .