intel / intel/llm-scaler

Omni: ComfyUI 运行SenseNova模型会OOM

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Dominant language
C++
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Description

custom node : https://github.com/OpenSenseNova/ComfyUI-SenseNova-U1
workflow : https://github.com/OpenSenseNova/ComfyUI-SenseNova-U1/blob/main/example_workflows/sensenova_image_editing.json

使用这个工作流进行图片编辑
在Linux和Windows两个版本上测试,单图编辑是OK;双图编辑会OOM,显存使用超过32455 MB,利用率99%以上;

使用N卡进行测试,双图编辑也OK,显存使用31300 MB;

vram_mode 选择 fast

Contributor guide

Open the contributing guide

Research direction

Start by running the linked ComfyUI-SenseNova-U1 example_workflows/sensenova_image_editing.json with vram_mode set to fast, comparing single-image and dual-image editing on the reported hardware. Measure VRAM usage and reproduce the dual-image OOM; done requires identifying a change that prevents the failure without breaking the working single-image workflow.

Written by the indexing model from the issue text.

Assessment

Domain
machine-learning, performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
45/100

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