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Wan2GP: raise AssertionError("Torch not compiled with CUDA enabled")

@meenakshisharma·1h

App: Wan2GP (wan.git)
Repo: https://github.com/pinokiofactory/wan.git
Generated: 2026-10-27T11:59:36.654Z
Pinokio: 8.2.0
Platform: win32 x64
Node: v22.21.1

Summary

System

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    "node": "v22.21.1",
    "platform": "win32",
    "arch": "x64"
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    "vram_gb": 8,
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    "arch": "x64",
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      "D:\\pinokio\\api\\wan.git\\torch.js": true,
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    "home": "D:\\pinokio",
    "vars": {
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              "uv pip install torch==2.10.0 torchvision==0.25.0 torchaudio==2.10.0 {{args && args.xformers ? 'xformers==0.0.34' : ''}} --index-url https://download.pytorch.org/whl/cu130 --force-reinstall --no-deps",
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              "uv pip install https://github.com/woct0rdho/SageAttention/releases/download/v2.2.0-windows.post4/sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl",
              "uv pip install https://github.com/mjun0812/flash-attention-prebuild-wheels/releases/download/v0.7.13/flash_attn-2.8.3+cu130torch2.10-cp311-cp311-win_amd64.whl",
              "uv pip install https://github.com/deepbeepmeep/kernels/releases/download/Light2xv/lightx2v_kernel-0.0.2+torch2.10.0-cp311-abi3-win_amd64.whl",
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              "uv pip install https://github.com/deepbeepmeep/kernels/releases/download/gguf-v1.0.26/llamacpp_gguf_cuda-1.0.26%2Btorch210cu130py311-cp311-cp311-win_amd64.whl --no-deps",
              "uv pip install https://github.com/woct0rdho/SpargeAttn/releases/download/v0.1.0-windows.post4/spas_sage_attn-0.1.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl",
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              "SERVER_NAME": "127.0.0.1",
              "SERVER_PORT": 42003
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            "path": "app",
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          "current": 0,
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        "D:\\pinokio\\api\\wan.git\\update.js": null
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      "input": {
        "D:\\pinokio\\api\\wan.git\\install.js": null,
        "D:\\pinokio\\api\\wan.git\\torch.js": null,
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          "ask_ai": "1",
          "prompt": "Investigate what went wrong. Inspect the app logs and explain the likely root cause and next fix."
        },
        "D:\\pinokio\\api\\wan.git\\start.js": {},
        "C:\\Users\\dheer\\AppData\\Local\\Programs\\Pinokio\\resources\\app.asar\\node_modules\\pinokiod\\system\\plugin\\codex-auto\\pinokio.js?cwd=D:\\pinokio\\api\\wan.git": {
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          "ask_ai": "1",
          "prompt": "Investigate what went wrong. Inspect the app logs and explain the likely root cause and next fix."
        },
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      "args": {
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          "deviceName": "\\\\.\\DISPLAY1",
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}

Logs

logs/api/start.js/1793102342136

Source: api / start.js
Lines: 28 total, last 28 included

[api shell.run]
Microsoft Windows [Version 10.0.26200.9711]
(c) Microsoft Corporation. All rights reserved.

D:\pinokio\api\wan.git\app>conda_hook & conda deactivate & conda deactivate & conda deactivate & conda activate base & D:\pinokio\api\wan.git\app\venv\Scripts\activate D:\pinokio\api\wan.git\app\venv & bluefairy-activate.cmd && python wgp.py --multiple-images --advanced 
[OK] bluefairy active: uv/npm/bun protection enabled
*********************** WanGP v18.84 - Copyright (c) 2024-2026 DeepBeepMeep ************************
****** Memory Management for the GPU Poor (mmgp 4.4.1) - Copyright (c) 2024-2026 DeepBeepMeep ******
[RAM] MMGP RAM Allocator: the RAM of freed CPU tensors goes back to the system
D:\pinokio\api\wan.git\app\venv\Lib\site-packages\diffusers\models\transformers\transformer_kandinsky.py:168: UserWarning: CUDA is not available or torch_xla is imported. Disabling autocast.
  @torch.autocast(device_type="cuda", dtype=torch.float32)
D:\pinokio\api\wan.git\app\venv\Lib\site-packages\diffusers\models\transformers\transformer_kandinsky.py:272: UserWarning: CUDA is not available or torch_xla is imported. Disabling autocast.
  @torch.autocast(device_type="cuda", dtype=torch.float32)
Traceback (most recent call last):
  File "D:\pinokio\api\wan.git\app\wgp.py", line 96, in <module>
    from shared.attention import ATTENTION_MODE_AVAILABILITY, get_attention_modes, get_supported_attention_modes, get_default_attention_mode, get_override_attention_modes, get_supported_override_attention_modes
  File "D:\pinokio\api\wan.git\app\shared\attention.py", line 18, in <module>
    major, minor = (0, 0) if _is_mps else torch.cuda.get_device_capability(None)
                                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py", line 782, in get_device_capability
    prop = get_device_properties(device)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "D:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py", line 799, in get_device_properties
    _lazy_init()  # will define _get_device_properties
    ^^^^^^^^^^^^
  File "D:\pinokio\api\wan.git\app\venv\Lib\site-packages\torch\cuda\__init__.py", line 584, in _lazy_init
    raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
Wan2GPpinokiofactory/wan
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App used

Wan2GPpinokiofactory/wan

1-click WanGP Launcher. Super Optimized Gradio UI for AI video creation for GPU poor machines (6GB+ VRAM). Supports Wan 2.1/2.2, Qwen, Hunyuan Vide...

View app

Published by

@meenakshisharma1h ago
#bug#logs
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App used

Wan2GPpinokiofactory/wan

1-click WanGP Launcher. Super Optimized Gradio UI for AI video creation for GPU poor machines (6GB+ VRAM). Supports Wan 2.1/2.2, Qwen, Hunyuan Vide...

View app

Published by

@meenakshisharma1h ago
#bug#logs

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