Found comfy_kitchen backend cuda: {'available': False, 'disabled': True, 'unavailable_reason': 'DLL load failed while importing _C: 找不到指定的模块。', 'capabilities': []}

[Vanlams]

Custom Node Testing

• I have tried disabling custom nodes and the issue persists (see how to disable custom nodes if you need help)

Your question

****I've already upgraded comfy_kitchen to 0.2.3, but starting ComfyUI still prompts 'DLL load failed while importing _C: The specified module could not be found'.Could you please teach me how to solve this problem?

Checkpoint files will always be loaded safely.
Total VRAM 24576 MB, total RAM 65457 MB
pytorch version: 2.9.1+cu128
xformers version: 0.0.33.post2
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29455.0
working around nvidia conv3d memory bug.
Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
Found comfy_kitchen backend cuda: {'available': False, 'disabled': True, 'unavailable_reason': 'DLL load failed while importing _C: 找不到指定的模块。', 'capabilities': []}
Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Using xformers attention
Python version: 3.12.8 (tags/v3.12.8:2dc476b, Dec 3 2024, 19:30:04) [MSC v.1942 64 bit (AMD64)]
ComfyUI version: 0.8.0
ComfyUI frontend version: 1.35.9
[Prompt Server] web root: E:\Stable-Diffusion\ComfyUI\python_embeded\Lib\site-packages\comfyui_frontend_package\static
Total VRAM 24576 MB, total RAM 65457 MB
pytorch version: 2.9.1+cu128
xformers version: 0.0.33.post2
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 3090 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29455.0

Logs

Other

No response

[xudaxian666]

我也是这个问题，求解

[xudaxian666]

更新0.8以后出现这个问题

[alessandro893]

Try to compile "comfy_kitchen" from source, it worked for me.

[Vanlams]

Updated comfy_kitchen≥0.2.5, it now starts normally.

Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend cuda: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}

[deadman49]

Updated comfy_kitchen≥0.2.5, it now starts normally.

Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']} Found comfy_kitchen backend cuda: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']} Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}

work for me, thanks.

[mklwolf]

I using pip uninstall it and reinstall comfy kitchen, and follow the order"# Install with CUBLAS for NVFP4 (+Blackwell)
pip install comfy-kitchen[cublas]" . The version is 0.2.5 and I still got the error. and this issue occur from I updated comfyui by using "update_comfyui_stable.bat"

E:\ComfyUI_windows_portable>.\python_embeded\python.exe -s ComfyUI\main.py --windows-standalone-build
[START] Security scan
[DONE] Security scan

ComfyUI-Manager: installing dependencies done.

** ComfyUI startup time: 2026-01-10 18:52:17.820
** Platform: Windows
** Python version: 3.13.9 (tags/v3.13.9:8183fa5, Oct 14 2025, 14:09:13) [MSC v.1944 64 bit (AMD64)]
** Python executable: E:\ComfyUI_windows_portable\python_embeded\python.exe
** ComfyUI Path: E:\ComfyUI_windows_portable\ComfyUI
** ComfyUI Base Folder Path: E:\ComfyUI_windows_portable\ComfyUI
** User directory: E:\ComfyUI_windows_portable\ComfyUI\user
** ComfyUI-Manager config path: E:\ComfyUI_windows_portable\ComfyUI\user__manager\config.ini
** Log path: E:\ComfyUI_windows_portable\ComfyUI\user\comfyui.log

Prestartup times for custom nodes:
0.0 seconds: E:\ComfyUI_windows_portable\ComfyUI\custom_nodes\rgthree-comfy
0.0 seconds: E:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-easy-use
2.2 seconds: E:\ComfyUI_windows_portable\ComfyUI\custom_nodes\comfyui-manager

Checkpoint files will always be loaded safely.
Total VRAM 16303 MB, total RAM 65345 MB
pytorch version: 2.9.1+cu130
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 5080 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29405.0
working around nvidia conv3d memory bug.
Found comfy_kitchen backend triton: {'available': True, 'disabled': True, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8']}
Found comfy_kitchen backend eager: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Found comfy_kitchen backend cuda: {'available': True, 'disabled': False, 'unavailable_reason': None, 'capabilities': ['apply_rope', 'apply_rope1', 'dequantize_nvfp4', 'dequantize_per_tensor_fp8', 'quantize_nvfp4', 'quantize_per_tensor_fp8', 'scaled_mm_nvfp4']}
Using pytorch attention
Python version: 3.13.9 (tags/v3.13.9:8183fa5, Oct 14 2025, 14:09:13) [MSC v.1944 64 bit (AMD64)]
ComfyUI version: 0.8.2
ComfyUI frontend version: 1.35.9
[Prompt Server] web root: E:\ComfyUI_windows_portable\python_embeded\Lib\site-packages\comfyui_frontend_package\static
Total VRAM 16303 MB, total RAM 65345 MB
pytorch version: 2.9.1+cu130
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 5080 : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29405.0

Loading: ComfyUI-Manager (V3.39)

[ComfyUI-Manager] network_mode: public
[ComfyUI-Manager] ComfyUI per-queue preview override detected (PR #11261). Manager's preview method feature is disabled. Use ComfyUI's --preview-method CLI option or 'Settings > Execution > Live preview method'.

ComfyUI Revision: 199 [2e9d516] *DETACHED | Released on '2026-01-07'