Maestro: [Runtime] Kernels: Triton=ready (3.3.1.post19), SageAttention=ready, Lightx2v NVFP4=missing, Fl…

App: Maestro (Maestro.git)
Repo: https://github.com/Blizaine/Maestro.git
Generated: 2026-10-16T01:48:03.682Z
Pinokio: 8.2.0
Platform: win32 x64
Node: v22.21.1

Summary

System

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}

Logs

logs/api/start.js/1792115093425

Source: api / start.js
Lines: 30 total, last 30 included

[api shell.run]
Microsoft Windows [Version 10.0.26300.9550]
(c) Microsoft Corporation. All rights reserved.

E:\Pinokio\api\Maestro.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & E:\Pinokio\api\Maestro.git\app\env\Scripts\activate E:\Pinokio\api\Maestro.git\app\env & bluefairy-activate.cmd && python launch.py 
[OK] bluefairy active: uv/npm/bun protection enabled
[Maestro] Installing download stall protection...
[safe_download] tqdm download hook installed
[Maestro] Importing WanGP engine...
[Runtime] FlashAttention is unavailable (No module named 'flash_attn'); continuing with SageAttention/SDPA.
No CUDA runtime is found, using CUDA_HOME='E:\Pinokio\bin\miniforge\Library'
E:\Pinokio\api\Maestro.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(
[GGUF][llama.cpp CUDA] kernels unavailable, using fallback
[Runtime] Python 3.10.20 | PyTorch 2.7.1+cu128 | CUDA 12.8 | CUDA unavailable (unknown)
[Runtime] Kernels: Triton=ready (3.3.1.post19), SageAttention=ready, Lightx2v NVFP4=missing, FlashAttention=missing, H3 Sol Engine=unavailable in this runtime
E:\Pinokio\api\Maestro.git\app\env\lib\site-packages\fla\utils.py:356: UserWarning: Triton is not supported on current platform, roll back to CPU.
  warnings.warn(('Triton is not supported on current platform, roll back to CPU.'), stacklevel=1)
Traceback (most recent call last):
  File "E:\Pinokio\api\Maestro.git\app\launch.py", line 159, in <module>
    import wgp
  File "E:\Pinokio\api\Maestro.git\app\wgp.py", line 2614, in <module>
    gpu_major, gpu_minor = torch.cuda.get_device_capability(args.gpu if len(args.gpu) > 0 else None)
  File "E:\Pinokio\api\Maestro.git\app\env\lib\site-packages\torch\cuda\__init__.py", line 560, in get_device_capability
    prop = get_device_properties(device)
  File "E:\Pinokio\api\Maestro.git\app\env\lib\site-packages\torch\cuda\__init__.py", line 576, in get_device_properties
    _lazy_init()  # will define _get_device_properties
  File "E:\Pinokio\api\Maestro.git\app\env\lib\site-packages\torch\cuda\__init__.py", line 372, in _lazy_init
    torch._C._cuda_init()
RuntimeError: No CUDA GPUs are available