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

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After installation in windows I receive the following error when i try to create a video:

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\D\Downloads\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, 3995.53it/s]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 4/4 [00:00<00:00, 6.21it/s]
Fetching 3 files: 100%|████████████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 2986.69it/s]
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████| 3/3 [00:00<00:00, 4.58it/s]
transformer.high_quality_fp32_output_for_inference = True
* Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Unloaded DynamicSwap_LlamaModel as complete.
Unloaded CLIPTextModel as complete.
Unloaded SiglipVisionModel as complete.
Unloaded AutoencoderKLHunyuanVideo as complete.
Unloaded DynamicSwap_HunyuanVideoTransformer3DModelPacked as complete.
Loaded CLIPTextModel to cuda:0 as complete.
Traceback (most recent call last):
File "C:\Users\D\Downloads\framepack_cu126_torch26\webui\demo_gradio.py", line 126, in worker
llama_vec, clip_l_pooler = encode_prompt_conds(prompt, text_encoder, text_encoder_2, tokenizer, tokenizer_2)
File "C:\Users\D\Downloads\framepack_cu126_torch26\system\python\lib\site-packages\torch\utils\_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)
File "C:\Users\D\Downloads\framepack_cu126_torch26\webui\diffusers_helper\hunyuan.py", line 31, in encode_prompt_conds
llama_attention_length = int(llama_attention_mask.sum())
RuntimeError: 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.

Unloaded CLIPTextModel as complete.
Unloaded DynamicSwap_LlamaModel as complete.
Unloaded CLIPTextModel as complete.
Unloaded SiglipVisionModel as complete.
Unloaded AutoencoderKLHunyuanVideo as complete.
Unloaded DynamicSwap_HunyuanVideoTransformer3DModelPacked as complete.

I have:
processor: Intel(R) Core(TM) Ultra 9 285K 3.70 GHz
graphics card: NVIDIA GeForce RTX 5080

Start with the CUDA compatibility warning in the bundled PyTorch installation and the traceback through webui/demo_gradio.py and webui/diffusers_helper/hunyuan.py. Check whether the installed PyTorch build supports the RTX 5080's sm_120 capability, then reproduce video creation; done means the kernel-image error no longer occurs on that GPU.

Written by the indexing model from the issue text.