Acly / krita-ai-diffusion

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
GNU General Public License v3.0
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Errore se cerco di usare CUDA (NVIDIA GPU) #875

Open StefanoKKKK opened 5 days ago

StefanoKKKK commented 5 days ago

Ciao, se se cerco di usare CUDA (NVIDIA GPU) mi da questo errore 2024-03-26 15:28:35,211 INFO 2024-03-26 15:28:35,212 ERROR Traceback (most recent call last): File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\main.py", line 76, in import execution File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\execution.py", line 11, in import nodes File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\nodes.py", line 20, in import comfy.diffusers_load File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\comfy\diffusers_load.py", line 3, in import comfy.sd File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\comfy\sd.py", line 3, in from comfy import model_management File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\comfy\model_management.py", line 118, in total_vram = get_total_memory(get_torch_device()) / (1024 * 1024) File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\ComfyUI\comfy\model_management.py", line 87, in get_torch_device return torch.device(torch.cuda.current_device()) File "C:\Users\Utente\AppData\Roaming\krita\ client.log server.log pykrita\ai_diffusion.server\python\lib\site-packages\torch\cuda__init.py", line 787, in current_device _lazy_init() File "C:\Users\Utente\AppData\Roaming\krita\pykrita\ai_diffusion.server\python\lib\site-packages\torch\cuda\init__.py", line 302, in _lazy_init torch._C._cuda_init() RuntimeError: The NVIDIA driver on your system is too old (found version 9010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver.

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