ENOENT: no such file or directory, stat 'C:\pinokio\api\wan2gp-amd.git\Error:'
**What are you tryinHi, here's the terminal output for the error I mentioned earlier with Wan2GP AMD.
My system specs:
GPU: AMD Radeon™ Graphics (integrated, not discrete)
Processor: AMD Ryzen (mobile APU, likely Ryzen 5000 series)
RAM: 16 GBg to do?**
Terminal output:
C:\pinokio\api\wan2gp-amd.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & C:\pinokio\api\wan2gp-amd.git\app\env\Scripts\activate C:\pinokio\api\wan2gp-amd.git\app\env && python wgp.py
No CUDA runtime is found, using CUDA_HOME='C:\pinokio\bin\miniconda\Library'
C:\pinokio\api\wan2gp-amd.git\app\env\Lib\site-packages\torch\amp\autocast_mode.py:266: UserWarning: User provided device_type of 'cuda', but CUDA is not available. Disabling
warnings.warn(
Traceback (most recent call last):
File "C:\pinokio\api\wan2gp-amd.git\app\wgp.py", line 69, in
from shared.attention import get_attention_modes, get_supported_attention_modes, get_default_attention_mode
File "C:\pinokio\api\wan2gp-amd.git\app\shared\attention.py", line 14, in
major, minor = (0, 0) if is_mps else torch.cuda.get_device_capability(None)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\pinokio\api\wan2gp-amd.git\app\env\Lib\site-packages\torch\cuda_init.py", line 560, in get_device_capability
prop = get_device_properties(device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\pinokio\api\wan2gp-amd.git\app\env\Lib\site-packages\torch\cuda_init_.py", line 576, in get_device_properties
_lazy_init() # will define get_device_properties
^^^^^^^^^^^^
File "C:\pinokio\api\wan2gp-amd.git\app\env\Lib\site-packages\torch\cuda_init.py", line 372, in _lazy_init
torch._C._cuda_init()
RuntimeError: No HIP GPUs are available
(env) (base) C:\pinokio\api\wan2gp-amd.git\app>
██ Terminated Shell d18e84cb-c658-4eea-936d-d09083a56779
████
===================================================
input.event
[
"Error:"
]
===================================================
local variables
{
"url": "Error:"
}
What have you tried?
Your system (OS / GPU / RAM / VRAM / etc.)
