[GH-ISSUE #10] memory bug #6

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opened 2026-10-26 22:19:02 +00:00 by bsakaguchi · 1 comment
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Originally created by @rong7932 on GitHub (Jan 6, 2026).
Original GitHub issue: https://github.com/Comfy-Org/comfy-kitchen/issues/10

Checkpoint files will always be loaded safely.
Total VRAM 16311 MB, total RAM 65346 MB
pytorch version: 2.9.1+cu130
xformers version: 0.0.33.post2
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 5060 Ti : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29405.0
working around nvidia conv3d memory bug.
Found comfy_kitchen backend cuda: {'available': False, 'disabled': False, 'unavailable_reason': "cannot import name '_C' from partially initialized module 'comfy_kitchen.backends.cuda' (most likely due to a circular import) (D:\AI\ComfyUI\.ext\Lib\site-packages\comfy_kitchen\backends\cuda\init.py)", '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']}
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']}
Using sage attention
Python version: 3.12.12 | packaged by Anaconda, Inc. | (main, Oct 21 2025, 20:05:38) [MSC v.1929 64 bit (AMD64)]
ComfyUI version: 0.7.0
ComfyUI frontend version: 1.35.9
[Prompt Server] web root: D:\AI\ComfyUI.ext\Lib\site-packages\comfyui_frontend_package\static
Total VRAM 16311 MB, total RAM 65346 MB
pytorch version: 2.9.1+cu130
xformers version: 0.0.33.post2
Set vram state to: NORMAL_VRAM
Device: cuda:0 NVIDIA GeForce RTX 5060 Ti : cudaMallocAsync
Using async weight offloading with 2 streams
Enabled pinned memory 29405.0
NumExpr defaulting to 16 threads.
ComfyUI-GGUF: Allowing full torch compile

Originally created by @rong7932 on GitHub (Jan 6, 2026). Original GitHub issue: https://github.com/Comfy-Org/comfy-kitchen/issues/10 Checkpoint files will always be loaded safely. Total VRAM 16311 MB, total RAM 65346 MB pytorch version: 2.9.1+cu130 xformers version: 0.0.33.post2 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 5060 Ti : cudaMallocAsync Using async weight offloading with 2 streams Enabled pinned memory 29405.0 working around nvidia conv3d memory bug. Found comfy_kitchen backend cuda: {'available': False, 'disabled': False, 'unavailable_reason': "cannot import name '_C' from partially initialized module 'comfy_kitchen.backends.cuda' (most likely due to a circular import) (D:\\AI\\ComfyUI\\.ext\\Lib\\site-packages\\comfy_kitchen\\backends\\cuda\\__init__.py)", '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']} 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']} Using sage attention Python version: 3.12.12 | packaged by Anaconda, Inc. | (main, Oct 21 2025, 20:05:38) [MSC v.1929 64 bit (AMD64)] ComfyUI version: 0.7.0 ComfyUI frontend version: 1.35.9 [Prompt Server] web root: D:\AI\ComfyUI\.ext\Lib\site-packages\comfyui_frontend_package\static Total VRAM 16311 MB, total RAM 65346 MB pytorch version: 2.9.1+cu130 xformers version: 0.0.33.post2 Set vram state to: NORMAL_VRAM Device: cuda:0 NVIDIA GeForce RTX 5060 Ti : cudaMallocAsync Using async weight offloading with 2 streams Enabled pinned memory 29405.0 NumExpr defaulting to 16 threads. ComfyUI-GGUF: Allowing full torch compile
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@wolf206521 commented on GitHub (Jan 16, 2026):

the same to you

<!-- gh-comment-id:3759940252 --> @wolf206521 commented on GitHub (Jan 16, 2026): the same to you
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Comfy-Org/comfy-kitchen#6
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