feat: add CPU offload toggle to performance settings#97
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omnificate wants to merge 1 commit intoOverworldai:mainfrom
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feat: add CPU offload toggle to performance settings#97omnificate wants to merge 1 commit intoOverworldai:mainfrom
omnificate wants to merge 1 commit intoOverworldai:mainfrom
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Adds a 'CPU Model Loading' checkbox in Performance settings that sends cpu_offload in the WebSocket init message. When enabled, the world_engine server builds the model on CPU before moving to GPU, reducing peak VRAM during initialization. Essential for systems with limited GPU memory. Changes: - Top-level cpu_offload setting (default: false) - Checkbox in Performance section with i18n (en/ja/zh/goose) - WebSocket init message includes cpu_offload flag - Lifecycle model key encodes cpu_offload so toggling triggers reconnect - Mode-switch modal shown when toggling during active streaming - Server passes cpu_offload through to WorldEngine constructor Companion PR: Overworldai/world_engine#40
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I'm curious - could you please share VRAM / CPU memory utilization metrics? The model is eventually loaded in vram regardless, but this might save some memory since we'd patch the model on CPU. |
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Adds a CPU Model Loading checkbox in Performance settings that sends
cpu_offloadin the WebSocket init message. When enabled, the world_engine server builds the model on CPU before moving to GPU, reducing peak VRAM during model initialization. Essential for systems with limited GPU memory.Changes (11 files, +46/−12):
cpu_offload: z.boolean().default(false)cpu_offload?: booleanonInitMessagecpuOffload+cpuOffloadDescriptionin en/ja/zh/goose+cpu0/+cpu1so toggling triggers intentional reconnectcpu_offloadin sendInit, adds to dependency arrayscpu_offloadfrom init message, passes toload_engine()cpu_offloadtoWorldEngine()constructorCompanion PR: Overworldai/world_engine#40